kittycad.models.ok_modeling_cmd_response

Classes

camera_drag_end(**data)	The response to the 'CameraDragEnd' endpoint
camera_drag_move(**data)	The response to the 'CameraDragMove' endpoint
center_of_mass(**data)	The response to the 'CenterOfMass' endpoint
close_path(**data)	The response to the 'ClosePath' endpoint
curve_get_control_points(**data)	The response to the 'CurveGetControlPoints' endpoint
curve_get_end_points(**data)	The response to the 'CurveGetEndPoints' endpoint
curve_get_type(**data)	The response to the 'CurveGetType' endpoint
default_camera_focus_on(**data)	The response to the 'DefaultCameraFocusOn' endpoint
default_camera_get_settings(**data)	The response to the 'DefaultCameraGetSettings' endpoint
default_camera_zoom(**data)	The response to the 'DefaultCameraZoom' endpoint
density(**data)	The response to the 'Density' endpoint
empty(**data)	An empty response, used for any command that does not explicitly have a response defined here.
entity_circular_pattern(**data)	The response to the 'EntityCircularPattern' endpoint
entity_get_all_child_uuids(**data)	The response to the 'EntityGetAllChildUuids' endpoint
entity_get_child_uuid(**data)	The response to the 'EntityGetChildUuid' endpoint
entity_get_distance(**data)	The response to the 'EntityGetDistance' endpoint
entity_get_num_children(**data)	The response to the 'EntityGetNumChildren' endpoint
entity_get_parent_id(**data)	The response to the 'EntityGetParentId' endpoint
entity_get_sketch_paths(**data)	The response to the 'EntityGetSketchPaths' endpoint
entity_linear_pattern(**data)	The response to the 'EntityLinearPattern' endpoint
entity_linear_pattern_transform(**data)	The response to the 'EntityLinearPatternTransform' endpoint
export(**data)	The response to the 'Export' endpoint
extrusion_face_info(**data)	The response to the 'ExtrusionFaceInfo' endpoint
face_get_center(**data)	The response to the 'FaceGetCenter' endpoint
face_get_gradient(**data)	The response to the 'FaceGetGradient' endpoint
face_get_position(**data)	The response to the 'FaceGetPosition' endpoint
face_is_planar(**data)	The response to the 'FaceIsPlanar' endpoint
get_entity_type(**data)	The response to the 'GetEntityType' endpoint
get_num_objects(**data)	The response to the 'GetNumObjects' endpoint
get_sketch_mode_plane(**data)	The response to the 'GetSketchModePlane' endpoint
highlight_set_entity(**data)	The response to the 'HighlightSetEntity' endpoint
import_files(**data)	The response to the 'ImportFiles' endpoint
imported_geometry(**data)	The response to the 'ImportedGeometry' endpoint
mass(**data)	The response to the 'Mass' endpoint
mouse_click(**data)	The response to the 'MouseClick' endpoint
path_get_curve_uuid(**data)	The response to the 'PathGetCurveUuid' endpoint
path_get_curve_uuids_for_vertices(**data)	The response to the 'PathGetCurveUuidsForVertices' endpoint
path_get_info(**data)	The response to the 'PathGetInfo' endpoint
path_get_sketch_target_uuid(**data)	The response to the 'PathGetSketchTargetUuid' endpoint
path_get_vertex_uuids(**data)	The response to the 'PathGetVertexUuids' endpoint
path_segment_info(**data)	The response to the 'PathSegmentInfo' endpoint
plane_intersect_and_project(**data)	The response to the 'PlaneIntersectAndProject' endpoint
select_get(**data)	The response to the 'SelectGet' endpoint
select_with_point(**data)	The response to the 'SelectWithPoint' endpoint
solid3d_get_all_edge_faces(**data)	The response to the 'Solid3dGetAllEdgeFaces' endpoint
solid3d_get_all_opposite_edges(**data)	The response to the 'Solid3dGetAllOppositeEdges' endpoint
solid3d_get_extrusion_face_info(**data)	The response to the 'Solid3dGetExtrusionFaceInfo' endpoint
solid3d_get_next_adjacent_edge(**data)	The response to the 'Solid3dGetNextAdjacentEdge' endpoint
solid3d_get_opposite_edge(**data)	The response to the 'Solid3dGetOppositeEdge' endpoint
solid3d_get_prev_adjacent_edge(**data)	The response to the 'Solid3dGetPrevAdjacentEdge' endpoint
surface_area(**data)	The response to the 'SurfaceArea' endpoint
take_snapshot(**data)	The response to the 'TakeSnapshot' endpoint
view_isometric(**data)	The response to the 'ViewIsometric' endpoint
volume(**data)	The response to the 'Volume' endpoint
zoom_to_fit(**data)	The response to the 'ZoomToFit' endpoint

class kittycad.models.ok_modeling_cmd_response.camera_drag_end(**data)

The response to the ‘CameraDragEnd’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.camera_drag_end.CameraDragEnd'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['camera_drag_end']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.camera_drag_end'>, 'config': {'title': 'camera_drag_end'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.camera_drag_end'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.camera_drag_end'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.camera_drag_end:94901931505600', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_drag_end.CameraDragEnd'>, 'config': {'title': 'CameraDragEnd'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_drag_end.CameraDragEnd'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_drag_end.CameraDragEnd'>>]}, 'ref': 'kittycad.models.camera_drag_end.CameraDragEnd:94901924576992', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'CameraDragEnd', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'camera_drag_end', 'schema': {'expected': ['camera_drag_end'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'camera_drag_end', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 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with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ea77c0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501380bee0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CameraDragEnd",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa3014f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "camera_drag_end",                                             },                                             expected_py: None,                                             name: "literal['camera_drag_end']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "camera_drag_end",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="camera_drag_end", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9187510,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9187540,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa926c130,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa926c1f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa9187330,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa9187360,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa9187390,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa91873c0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa9110230,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa926e270,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa91873f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa9187420,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa926fbf0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa926f770,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa9187450,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa9187480,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa91874b0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa91874e0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CameraDragEnd",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501380bee0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CameraDragEnd",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9187570,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91875a0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa3014f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "camera_drag_end": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa3014f0,                                                 ),                                             ],                                         },                                         expected_repr: "'camera_drag_end'",                                         name: "literal['camera_drag_end']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['camera_drag_end']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "camera_drag_end",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ea77c0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "camera_drag_end",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.camera_drag_end.CameraDragEnd, type: Literal['camera_drag_end'] = 'camera_drag_end') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CameraDragEnd

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CameraDragEnd, required=True), 'type': FieldInfo(annotation=Literal['camera_drag_end'], required=False, default='camera_drag_end')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['camera_drag_end']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.camera_drag_move(**data)

The response to the ‘CameraDragMove’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.camera_drag_move.CameraDragMove'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['camera_drag_move']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.camera_drag_move'>, 'config': {'title': 'camera_drag_move'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.camera_drag_move'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.camera_drag_move'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.camera_drag_move:94901931492768', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_drag_move.CameraDragMove'>, 'config': {'title': 'CameraDragMove'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_drag_move.CameraDragMove'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_drag_move.CameraDragMove'>>]}, 'ref': 'kittycad.models.camera_drag_move.CameraDragMove:94901924605360', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'CameraDragMove', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'camera_drag_move', 'schema': {'expected': ['camera_drag_move'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'camera_drag_move', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ea45a0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013812db0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CameraDragMove",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa301630,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "camera_drag_move",                                             },                                             expected_py: None,                                             name: "literal['camera_drag_move']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "camera_drag_move",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="camera_drag_move", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9192b20,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9192a90,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa926c7b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa926c630,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa9193ba0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa9193b70,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa9193cc0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa9193c90,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa9113c30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa926e1f0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa9193c30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa9193c00,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa926df30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa926c7f0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa9193c60,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa9192bb0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa9192be0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa9192af0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CameraDragMove",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013812db0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CameraDragMove",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9192c40,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91928e0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa301630,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "camera_drag_move": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa301630,                                                 ),                                             ],                                         },                                         expected_repr: "'camera_drag_move'",                                         name: "literal['camera_drag_move']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['camera_drag_move']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "camera_drag_move",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ea45a0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "camera_drag_move",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.camera_drag_move.CameraDragMove, type: Literal['camera_drag_move'] = 'camera_drag_move') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CameraDragMove

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CameraDragMove, required=True), 'type': FieldInfo(annotation=Literal['camera_drag_move'], required=False, default='camera_drag_move')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['camera_drag_move']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.center_of_mass(**data)

The response to the ‘CenterOfMass’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.center_of_mass.CenterOfMass'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['center_of_mass']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.center_of_mass'>, 'config': {'title': 'center_of_mass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.center_of_mass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.center_of_mass'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.center_of_mass:94901932433520', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.center_of_mass.CenterOfMass'>, 'config': {'title': 'CenterOfMass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.center_of_mass.CenterOfMass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.center_of_mass.CenterOfMass'>>]}, 'ref': 'kittycad.models.center_of_mass.CenterOfMass:94901923609792', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center_of_mass': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:94901918556336', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'CenterOfMass', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'center_of_mass', 'schema': {'expected': ['center_of_mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'center_of_mass', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f8a070,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501371fcc0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "center_of_mass": SerField {                                                     key_py: Py(                                                         0x00007f5faa3017b0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x00005650137bad60,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "x": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3d0b8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e7f8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "z": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e828,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 3,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "Point3d",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "output_unit": SerField {                                                     key_py: Py(                                                         0x00007f5faa0e8ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x000056501324e0b0,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CenterOfMass",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa3017b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "center_of_mass",                                             },                                             expected_py: None,                                             name: "literal['center_of_mass']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "center_of_mass",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="center_of_mass", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9001d40,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9001d70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "center_of_mass",                                                 lookup_key: Simple {                                                     key: "center_of_mass",                                                     py_key: Py(                                                         0x00007f5fa91fecb0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "center_of_mass",                                                                 Py(                                                                     0x00007f5fa91fec70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa3017b0,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "x",                                                                         lookup_key: Simple {                                                                             key: "x",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7c8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "x",                                                                                         Py(                                                                                             0x00007f5fbca3e7c8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3d0b8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "y",                                                                         lookup_key: Simple {                                                                             key: "y",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7f8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "y",                                                                                         Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e7f8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "z",                                                                         lookup_key: Simple {                                                                             key: "z",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e828,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "z",                                                                                         Py(                                                                                             0x00007f5fbca3e828,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e828,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "Point3d",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005650137bad60,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "Point3d",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "output_unit",                                                 lookup_key: Simple {                                                     key: "output_unit",                                                     py_key: Py(                                                         0x00007f5fa9113270,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "output_unit",                                                                 Py(                                                                     0x00007f5fa91fed30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa0e8ff0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x000056501324e0b0,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "yd": 5,                                                                     "in": 2,                                                                     "ft": 1,                                                                     "m": 3,                                                                     "mm": 4,                                                                     "cm": 0,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa99e5c10,                                                                 ),                                                                 Py(                                                                     0x00007f5fa99e61b0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa99e6150,                                                                 ),                                                                 Py(                                                                     0x00007f5fa99e6270,                                                                 ),                                                                 Py(                                                                     0x00007f5fa99e62d0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa99e6390,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'",                                                         strict: false,                                                         class_repr: "UnitLength",                                                         name: "str-enum[UnitLength]",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CenterOfMass",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501371fcc0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CenterOfMass",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9001da0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9001dd0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa3017b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "center_of_mass": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa3017b0,                                                 ),                                             ],                                         },                                         expected_repr: "'center_of_mass'",                                         name: "literal['center_of_mass']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['center_of_mass']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "center_of_mass",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f8a070,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "center_of_mass",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.center_of_mass.CenterOfMass, type: Literal['center_of_mass'] = 'center_of_mass') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CenterOfMass

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CenterOfMass, required=True), 'type': FieldInfo(annotation=Literal['center_of_mass'], required=False, default='center_of_mass')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['center_of_mass']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.close_path(**data)

The response to the ‘ClosePath’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.close_path.ClosePath'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['close_path']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.close_path'>, 'config': {'title': 'close_path'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.close_path'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.close_path'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.close_path:94901931478912', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.close_path.ClosePath'>, 'config': {'title': 'ClosePath'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.close_path.ClosePath'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.close_path.ClosePath'>>]}, 'ref': 'kittycad.models.close_path.ClosePath:94901923640352', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'face_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'ClosePath', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'close_path', 'schema': {'expected': ['close_path'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'close_path', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ea0f80,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa4413f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "close_path",                                             },                                             expected_py: None,                                             name: "literal['close_path']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013727420,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "face_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa98ba7f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ClosePath",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "close_path",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="close_path", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91852c0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91852f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "face_id",                                                 lookup_key: Simple {                                                     key: "face_id",                                                     py_key: Py(                                                         0x00007f5fa9185260,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "face_id",                                                                 Py(                                                                     0x00007f5fa9185290,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa98ba7f0,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ClosePath",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013727420,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ClosePath",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9185320,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9185350,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa4413f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "close_path": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa4413f0,                                                 ),                                             ],                                         },                                         expected_repr: "'close_path'",                                         name: "literal['close_path']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['close_path']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "close_path",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ea0f80,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "close_path",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.close_path.ClosePath, type: Literal['close_path'] = 'close_path') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ClosePath

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ClosePath, required=True), 'type': FieldInfo(annotation=Literal['close_path'], required=False, default='close_path')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['close_path']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.curve_get_control_points(**data)

The response to the ‘CurveGetControlPoints’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.curve_get_control_points.CurveGetControlPoints'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['curve_get_control_points']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.curve_get_control_points'>, 'config': {'title': 'curve_get_control_points'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.curve_get_control_points'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.curve_get_control_points'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.curve_get_control_points:94901932025952', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.curve_get_control_points.CurveGetControlPoints'>, 'config': {'title': 'CurveGetControlPoints'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.curve_get_control_points.CurveGetControlPoints'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.curve_get_control_points.CurveGetControlPoints'>>]}, 'ref': 'kittycad.models.curve_get_control_points.CurveGetControlPoints:94901924668976', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'control_points': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'CurveGetControlPoints', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'curve_get_control_points', 'schema': {'expected': ['curve_get_control_points'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'curve_get_control_points', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f26860,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013822630,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "control_points": SerField {                                                     key_py: Py(                                                         0x00007f5fabfd4f30,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Model(                                                                     ModelSerializer {                                                                         class: Py(                                                                             0x00005650137bad60,                                                                         ),                                                                         serializer: Fields(                                                                             GeneralFieldsSerializer {                                                                                 fields: {                                                                                     "x": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbca3d0b8,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Float(                                                                                                 FloatSerializer {                                                                                                     inf_nan_mode: Null,                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "z": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbca3e828,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Float(                                                                                                 FloatSerializer {                                                                                                     inf_nan_mode: Null,                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "y": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Float(                                                                                                 FloatSerializer {                                                                                                     inf_nan_mode: Null,                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                 },                                                                                 computed_fields: Some(                                                                                     ComputedFields(                                                                                         [],                                                                                     ),                                                                                 ),                                                                                 mode: SimpleDict,                                                                                 extra_serializer: None,                                                                                 filter: SchemaFilter {                                                                                     include: None,                                                                                     exclude: None,                                                                                 },                                                                                 required_fields: 3,                                                                             },                                                                         ),                                                                         has_extra: false,                                                                         root_model: false,                                                                         name: "Point3d",                                                                     },                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[Point3d]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CurveGetControlPoints",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1ca740,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "curve_get_control_points",                                             },                                             expected_py: None,                                             name: "literal['curve_get_control_points']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "curve_get_control_points",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="curve_get_control_points", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91a3f30,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91a3f60,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "control_points",                                                 lookup_key: Simple {                                                     key: "control_points",                                                     py_key: Py(                                                         0x00007f5fa91a9df0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "control_points",                                                                 Py(                                                                     0x00007f5fa91a9db0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fabfd4f30,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Model(                                                                 ModelValidator {                                                                     revalidate: Never,                                                                     validator: ModelFields(                                                                         ModelFieldsValidator {                                                                             fields: [                                                                                 Field {                                                                                     name: "x",                                                                                     lookup_key: Simple {                                                                                         key: "x",                                                                                         py_key: Py(                                                                                             0x00007f5fbca3e7c8,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "x",                                                                                                     Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbca3d0b8,                                                                                     ),                                                                                     validator: Float(                                                                                         FloatValidator {                                                                                             strict: false,                                                                                             allow_inf_nan: true,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "y",                                                                                     lookup_key: Simple {                                                                                         key: "y",                                                                                         py_key: Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "y",                                                                                                     Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbca3e7f8,                                                                                     ),                                                                                     validator: Float(                                                                                         FloatValidator {                                                                                             strict: false,                                                                                             allow_inf_nan: true,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "z",                                                                                     lookup_key: Simple {                                                                                         key: "z",                                                                                         py_key: Py(                                                                                             0x00007f5fbca3e828,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "z",                                                                                                     Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbca3e828,                                                                                     ),                                                                                     validator: Float(                                                                                         FloatValidator {                                                                                             strict: false,                                                                                             allow_inf_nan: true,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                             ],                                                                             model_name: "Point3d",                                                                             extra_behavior: Ignore,                                                                             extras_validator: None,                                                                             strict: false,                                                                             from_attributes: false,                                                                             loc_by_alias: true,                                                                         },                                                                     ),                                                                     class: Py(                                                                         0x00005650137bad60,                                                                     ),                                                                     post_init: None,                                                                     frozen: false,                                                                     custom_init: false,                                                                     root_model: false,                                                                     undefined: Py(                                                                         0x00007f5fabd31e70,                                                                     ),                                                                     name: "Point3d",                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CurveGetControlPoints",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013822630,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CurveGetControlPoints",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91a3f90,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91a3fc0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1ca740,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "curve_get_control_points": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1ca740,                                                 ),                                             ],                                         },                                         expected_repr: "'curve_get_control_points'",                                         name: "literal['curve_get_control_points']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['curve_get_control_points']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "curve_get_control_points",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f26860,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "curve_get_control_points",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.curve_get_control_points.CurveGetControlPoints, type: Literal['curve_get_control_points'] = 'curve_get_control_points') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CurveGetControlPoints

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CurveGetControlPoints, required=True), 'type': FieldInfo(annotation=Literal['curve_get_control_points'], required=False, default='curve_get_control_points')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['curve_get_control_points']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.curve_get_end_points(**data)

The response to the ‘CurveGetEndPoints’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.curve_get_end_points.CurveGetEndPoints'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['curve_get_end_points']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.curve_get_end_points'>, 'config': {'title': 'curve_get_end_points'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.curve_get_end_points'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.curve_get_end_points'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.curve_get_end_points:94901932200864', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.curve_get_end_points.CurveGetEndPoints'>, 'config': {'title': 'CurveGetEndPoints'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.curve_get_end_points.CurveGetEndPoints'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.curve_get_end_points.CurveGetEndPoints'>>]}, 'ref': 'kittycad.models.curve_get_end_points.CurveGetEndPoints:94901924679472', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'end': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'start': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CurveGetEndPoints', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'curve_get_end_points', 'schema': {'expected': ['curve_get_end_points'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'curve_get_end_points', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f513a0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa441970,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "curve_get_end_points",                                             },                                             expected_py: None,                                             name: "literal['curve_get_end_points']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013824f30,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "end": SerField {                                                     key_py: Py(                                                         0x00007f5fbca38900,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "start": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3c340,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CurveGetEndPoints",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "curve_get_end_points",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="curve_get_end_points", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91d0e70,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91d0ea0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "end",                                                 lookup_key: Simple {                                                     key: "end",                                                     py_key: Py(                                                         0x00007f5fa91d0db0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "end",                                                                 Py(                                                                     0x00007f5fa91d0de0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca38900,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "start",                                                 lookup_key: Simple {                                                     key: "start",                                                     py_key: Py(                                                         0x00007f5fa91d0e10,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "start",                                                                 Py(                                                                     0x00007f5fa91d0e40,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3c340,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CurveGetEndPoints",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013824f30,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CurveGetEndPoints",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91d0ed0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91d0f00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa441970,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "curve_get_end_points": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa441970,                                                 ),                                             ],                                         },                                         expected_repr: "'curve_get_end_points'",                                         name: "literal['curve_get_end_points']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['curve_get_end_points']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "curve_get_end_points",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f513a0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "curve_get_end_points",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.curve_get_end_points.CurveGetEndPoints, type: Literal['curve_get_end_points'] = 'curve_get_end_points') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CurveGetEndPoints

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CurveGetEndPoints, required=True), 'type': FieldInfo(annotation=Literal['curve_get_end_points'], required=False, default='curve_get_end_points')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['curve_get_end_points']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.curve_get_type(**data)

The response to the ‘CurveGetType’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.curve_get_type.CurveGetType'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['curve_get_type']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.curve_get_type'>, 'config': {'title': 'curve_get_type'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.curve_get_type'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.curve_get_type'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.curve_get_type:94901932042496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.curve_get_type.CurveGetType'>, 'config': {'title': 'CurveGetType'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.curve_get_type.CurveGetType'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.curve_get_type.CurveGetType'>>]}, 'ref': 'kittycad.models.curve_get_type.CurveGetType:94901924691024', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'curve_type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'CurveType'>, 'members': [CurveType.LINE, CurveType.ARC, CurveType.NURBS], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.curve_type.CurveType:94901923268576', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'CurveGetType', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'curve_get_type', 'schema': {'expected': ['curve_get_type'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'curve_get_type', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f2a900,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa441a30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "curve_get_type",                                             },                                             expected_py: None,                                             name: "literal['curve_get_type']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013827c50,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "curve_type": SerField {                                                     key_py: Py(                                                         0x00007f5faa441ab0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x00005650136cc7e0,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "CurveGetType",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "curve_get_type",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="curve_get_type", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91a1230,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91a1260,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "curve_type",                                                 lookup_key: Simple {                                                     key: "curve_type",                                                     py_key: Py(                                                         0x00007f5fa91aa4b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "curve_type",                                                                 Py(                                                                     0x00007f5fa91a99f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa441ab0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x00005650136cc7e0,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "arc": 1,                                                                     "nurbs": 2,                                                                     "line": 0,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa97580b0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa9758110,                                                                 ),                                                                 Py(                                                                     0x00007f5fa9758170,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'line', 'arc' or 'nurbs'",                                                         strict: false,                                                         class_repr: "CurveType",                                                         name: "str-enum[CurveType]",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "CurveGetType",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013827c50,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "CurveGetType",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91a1170,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91a11a0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa441a30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "curve_get_type": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa441a30,                                                 ),                                             ],                                         },                                         expected_repr: "'curve_get_type'",                                         name: "literal['curve_get_type']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['curve_get_type']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "curve_get_type",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f2a900,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "curve_get_type",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.curve_get_type.CurveGetType, type: Literal['curve_get_type'] = 'curve_get_type') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: CurveGetType

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=CurveGetType, required=True), 'type': FieldInfo(annotation=Literal['curve_get_type'], required=False, default='curve_get_type')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['curve_get_type']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.default_camera_focus_on(**data)

The response to the ‘DefaultCameraFocusOn’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.default_camera_focus_on.DefaultCameraFocusOn'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['default_camera_focus_on']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.default_camera_focus_on'>, 'config': {'title': 'default_camera_focus_on'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.default_camera_focus_on'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.default_camera_focus_on'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.default_camera_focus_on:94901931549968', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.default_camera_focus_on.DefaultCameraFocusOn'>, 'config': {'title': 'DefaultCameraFocusOn'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.default_camera_focus_on.DefaultCameraFocusOn'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.default_camera_focus_on.DefaultCameraFocusOn'>>]}, 'ref': 'kittycad.models.default_camera_focus_on.DefaultCameraFocusOn:94901925117424', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {}, 'model_name': 'DefaultCameraFocusOn', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_camera_focus_on', 'schema': {'expected': ['default_camera_focus_on'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_camera_focus_on', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013eb2510,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501388fdf0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {},                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 0,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "DefaultCameraFocusOn",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa4426f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "default_camera_focus_on",                                             },                                             expected_py: None,                                             name: "literal['default_camera_focus_on']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "default_camera_focus_on",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="default_camera_focus_on", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917a670,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917a6a0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [],                                         model_name: "DefaultCameraFocusOn",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501388fdf0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "DefaultCameraFocusOn",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917a6d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917a700,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa4426f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "default_camera_focus_on": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa4426f0,                                                 ),                                             ],                                         },                                         expected_repr: "'default_camera_focus_on'",                                         name: "literal['default_camera_focus_on']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['default_camera_focus_on']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "default_camera_focus_on",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013eb2510,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "default_camera_focus_on",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.default_camera_focus_on.DefaultCameraFocusOn, type: Literal['default_camera_focus_on'] = 'default_camera_focus_on') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: DefaultCameraFocusOn

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=DefaultCameraFocusOn, required=True), 'type': FieldInfo(annotation=Literal['default_camera_focus_on'], required=False, default='default_camera_focus_on')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['default_camera_focus_on']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.default_camera_get_settings(**data)

The response to the ‘DefaultCameraGetSettings’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.default_camera_get_settings.DefaultCameraGetSettings'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['default_camera_get_settings']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.default_camera_get_settings'>, 'config': {'title': 'default_camera_get_settings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.default_camera_get_settings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.default_camera_get_settings'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.default_camera_get_settings:94901931544864', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.default_camera_get_settings.DefaultCameraGetSettings'>, 'config': {'title': 'DefaultCameraGetSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.default_camera_get_settings.DefaultCameraGetSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.default_camera_get_settings.DefaultCameraGetSettings'>>]}, 'ref': 'kittycad.models.default_camera_get_settings.DefaultCameraGetSettings:94901925136736', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'DefaultCameraGetSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_camera_get_settings', 'schema': {'expected': ['default_camera_get_settings'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_camera_get_settings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013eb1120,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1ca510,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "default_camera_get_settings",                                             },                                             expected_py: None,                                             name: "literal['default_camera_get_settings']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013894960,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "DefaultCameraGetSettings",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "default_camera_get_settings",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="default_camera_get_settings", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917ca80,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917cab0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa922ee30,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa922f9b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa917c8a0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa917c8d0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa917c900,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa917c930,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa922e3f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa922cc30,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa917c960,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa917c990,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa922f3f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa922feb0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa917c9c0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa917c9f0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa917ca20,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa917ca50,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "DefaultCameraGetSettings",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013894960,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "DefaultCameraGetSettings",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917cae0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917cb10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1ca510,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "default_camera_get_settings": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1ca510,                                                 ),                                             ],                                         },                                         expected_repr: "'default_camera_get_settings'",                                         name: "literal['default_camera_get_settings']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['default_camera_get_settings']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "default_camera_get_settings",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013eb1120,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "default_camera_get_settings",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.default_camera_get_settings.DefaultCameraGetSettings, type: Literal['default_camera_get_settings'] = 'default_camera_get_settings') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: DefaultCameraGetSettings

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=DefaultCameraGetSettings, required=True), 'type': FieldInfo(annotation=Literal['default_camera_get_settings'], required=False, default='default_camera_get_settings')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['default_camera_get_settings']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.default_camera_zoom(**data)

The response to the ‘DefaultCameraZoom’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.default_camera_zoom.DefaultCameraZoom'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['default_camera_zoom']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.default_camera_zoom'>, 'config': {'title': 'default_camera_zoom'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.default_camera_zoom'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.default_camera_zoom'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.default_camera_zoom:94901931633280', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.default_camera_zoom.DefaultCameraZoom'>, 'config': {'title': 'DefaultCameraZoom'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.default_camera_zoom.DefaultCameraZoom'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.default_camera_zoom.DefaultCameraZoom'>>]}, 'ref': 'kittycad.models.default_camera_zoom.DefaultCameraZoom:94901925157696', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'DefaultCameraZoom', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_camera_zoom', 'schema': {'expected': ['default_camera_zoom'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_camera_zoom', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 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with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ec6a80,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa442570,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "default_camera_zoom",                                             },                                             expected_py: None,                                             name: "literal['default_camera_zoom']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013899b40,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "DefaultCameraZoom",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "default_camera_zoom",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="default_camera_zoom", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917d980,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917d9b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa922c1f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa922d0f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa917d7a0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa917d7d0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa917d800,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa917d830,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa922e2f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa922d230,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa917d860,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa917d890,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa922de30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa922c170,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa917d8c0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa917d8f0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa917d920,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa917d950,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "DefaultCameraZoom",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013899b40,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "DefaultCameraZoom",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917d9e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917da10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa442570,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "default_camera_zoom": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa442570,                                                 ),                                             ],                                         },                                         expected_repr: "'default_camera_zoom'",                                         name: "literal['default_camera_zoom']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['default_camera_zoom']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "default_camera_zoom",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ec6a80,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "default_camera_zoom",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.default_camera_zoom.DefaultCameraZoom, type: Literal['default_camera_zoom'] = 'default_camera_zoom') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: DefaultCameraZoom

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=DefaultCameraZoom, required=True), 'type': FieldInfo(annotation=Literal['default_camera_zoom'], required=False, default='default_camera_zoom')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['default_camera_zoom']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.density(**data)

The response to the ‘Density’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.density.Density'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['density']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.density'>, 'config': {'title': 'density'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.density'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.density'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.density:94901932399984', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.density.Density'>, 'config': {'title': 'Density'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.density.Density'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.density.Density'>>]}, 'ref': 'kittycad.models.density.Density:94901925188944', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'density': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitDensity'>, 'members': [UnitDensity.LB_FT3, UnitDensity.KG_M3], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_density.UnitDensity:94901916341424', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'Density', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'density', 'schema': {'expected': ['density'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'density', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f81d70,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138a1550,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "output_unit": SerField {                                                     key_py: Py(                                                         0x00007f5faa0e8ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x00005650130314b0,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "density": SerField {                                                     key_py: Py(                                                         0x00007f5fbaf4d8c0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Density",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fbaf4d8c0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "density",                                             },                                             expected_py: None,                                             name: "literal['density']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "density",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="density", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91df6f0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91df4e0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "density",                                                 lookup_key: Simple {                                                     key: "density",                                                     py_key: Py(                                                         0x00007f5fa91df3f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "density",                                                                 Py(                                                                     0x00007f5fa91df720,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbaf4d8c0,                                                 ),                                                 validator: Float(                                                     FloatValidator {                                                         strict: false,                                                         allow_inf_nan: true,                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "output_unit",                                                 lookup_key: Simple {                                                     key: "output_unit",                                                     py_key: Py(                                                         0x00007f5fa91fc470,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "output_unit",                                                                 Py(                                                                     0x00007f5fa91fc430,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa0e8ff0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x00005650130314b0,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "lb:ft3": 0,                                                                     "kg:m3": 1,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa98d4890,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d48f0,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'lb:ft3' or 'kg:m3'",                                                         strict: false,                                                         class_repr: "UnitDensity",                                                         name: "str-enum[UnitDensity]",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Density",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138a1550,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Density",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91df540,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91df420,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fbaf4d8c0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "density": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fbaf4d8c0,                                                 ),                                             ],                                         },                                         expected_repr: "'density'",                                         name: "literal['density']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['density']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "density",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f81d70,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "density",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.density.Density, type: Literal['density'] = 'density') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Density

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Density, required=True), 'type': FieldInfo(annotation=Literal['density'], required=False, default='density')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['density']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.empty(**data)

An empty response, used for any command that does not explicitly have a response defined here.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['empty']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.empty'>, 'config': {'title': 'empty'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.empty'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.empty'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.empty:94901931806880', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'empty', 'schema': {'expected': ['empty'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'empty', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ef10a0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fbc9a8f60,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "empty",                                             },                                             expected_py: None,                                             name: "literal['empty']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 1,             },         ),         has_extra: false,         root_model: false,         name: "empty",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="empty", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa95d80c0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa95d80f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fbc9a8f60,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "empty": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fbc9a8f60,                                                 ),                                             ],                                         },                                         expected_repr: "'empty'",                                         name: "literal['empty']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['empty']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "empty",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ef10a0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "empty",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, type: Literal['empty'] = 'empty') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'type': FieldInfo(annotation=Literal['empty'], required=False, default='empty')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['empty']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_circular_pattern(**data)

The response to the ‘EntityCircularPattern’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_circular_pattern.EntityCircularPattern'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_circular_pattern']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_circular_pattern'>, 'config': {'title': 'entity_circular_pattern'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_circular_pattern'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_circular_pattern'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_circular_pattern:94901932529168', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_circular_pattern.EntityCircularPattern'>, 'config': {'title': 'EntityCircularPattern'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_circular_pattern.EntityCircularPattern'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_circular_pattern.EntityCircularPattern'>>]}, 'ref': 'kittycad.models.entity_circular_pattern.EntityCircularPattern:94901925308448', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'EntityCircularPattern', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_circular_pattern', 'schema': {'expected': ['entity_circular_pattern'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_circular_pattern', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 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with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_distance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern_transform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013fa1610,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138be820,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityCircularPattern",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa4421b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_circular_pattern",                                             },                                             expected_py: None,                                             name: "literal['entity_circular_pattern']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_circular_pattern",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_circular_pattern", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9021380,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa90213b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa9362970,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa901b1b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityCircularPattern",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138be820,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityCircularPattern",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa90213e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9021410,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa4421b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_circular_pattern": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa4421b0,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_circular_pattern'",                                         name: "literal['entity_circular_pattern']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_circular_pattern']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_circular_pattern",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013fa1610,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_circular_pattern",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_circular_pattern.EntityCircularPattern, type: Literal['entity_circular_pattern'] = 'entity_circular_pattern') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityCircularPattern

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityCircularPattern, required=True), 'type': FieldInfo(annotation=Literal['entity_circular_pattern'], required=False, default='entity_circular_pattern')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_circular_pattern']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_all_child_uuids(**data)

The response to the ‘EntityGetAllChildUuids’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_all_child_uuids']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_all_child_uuids'>, 'config': {'title': 'entity_get_all_child_uuids'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_all_child_uuids'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_all_child_uuids'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_all_child_uuids:94901931452752', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids'>, 'config': {'title': 'EntityGetAllChildUuids'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids'>>]}, 'ref': 'kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids:94901925314656', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'EntityGetAllChildUuids', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_all_child_uuids', 'schema': {'expected': ['entity_get_all_child_uuids'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_all_child_uuids', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013e9a950,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cad30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_all_child_uuids",                                             },                                             expected_py: None,                                             name: "literal['entity_get_all_child_uuids']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138c0060,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetAllChildUuids",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_all_child_uuids",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_all_child_uuids", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9192cd0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9192d00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa921def0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa921d830,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetAllChildUuids",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138c0060,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetAllChildUuids",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9192d30,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9192d60,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cad30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_all_child_uuids": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cad30,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_all_child_uuids'",                                         name: "literal['entity_get_all_child_uuids']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_all_child_uuids']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_all_child_uuids",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013e9a950,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_all_child_uuids",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_all_child_uuids.EntityGetAllChildUuids, type: Literal['entity_get_all_child_uuids'] = 'entity_get_all_child_uuids') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetAllChildUuids

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetAllChildUuids, required=True), 'type': FieldInfo(annotation=Literal['entity_get_all_child_uuids'], required=False, default='entity_get_all_child_uuids')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_all_child_uuids']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_child_uuid(**data)

The response to the ‘EntityGetChildUuid’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_child_uuid.EntityGetChildUuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_child_uuid']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_child_uuid'>, 'config': {'title': 'entity_get_child_uuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_child_uuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_child_uuid'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_child_uuid:94901931850176', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_child_uuid.EntityGetChildUuid'>, 'config': {'title': 'EntityGetChildUuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_child_uuid.EntityGetChildUuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_child_uuid.EntityGetChildUuid'>>]}, 'ref': 'kittycad.models.entity_get_child_uuid.EntityGetChildUuid:94901925323888', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'EntityGetChildUuid', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_child_uuid', 'schema': {'expected': ['entity_get_child_uuid'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_child_uuid', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013efb9c0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa441670,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_child_uuid",                                             },                                             expected_py: None,                                             name: "literal['entity_get_child_uuid']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138c2470,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639930,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetChildUuid",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_child_uuid",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_child_uuid", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91900c0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91900f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_id",                                                 lookup_key: Simple {                                                     key: "entity_id",                                                     py_key: Py(                                                         0x00007f5fa9249e30,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_id",                                                                 Py(                                                                     0x00007f5fa92497b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639930,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetChildUuid",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138c2470,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetChildUuid",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9190120,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9190150,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa441670,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_child_uuid": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa441670,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_child_uuid'",                                         name: "literal['entity_get_child_uuid']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_child_uuid']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_child_uuid",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013efb9c0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_child_uuid",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_child_uuid.EntityGetChildUuid, type: Literal['entity_get_child_uuid'] = 'entity_get_child_uuid') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetChildUuid

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetChildUuid, required=True), 'type': FieldInfo(annotation=Literal['entity_get_child_uuid'], required=False, default='entity_get_child_uuid')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_child_uuid']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_distance(**data)

The response to the ‘EntityGetDistance’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_distance.EntityGetDistance'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_distance']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_distance'>, 'config': {'title': 'entity_get_distance'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_distance'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_distance'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_distance:94901932466432', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_distance.EntityGetDistance'>, 'config': {'title': 'EntityGetDistance'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_distance.EntityGetDistance'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_distance.EntityGetDistance'>>]}, 'ref': 'kittycad.models.entity_get_distance.EntityGetDistance:94901925328240', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'max_distance': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.length_unit.LengthUnit'>, 'type': 'no-info'}, 'schema': {'type': 'float'}, 'type': 'function-after'}, 'type': 'model-field'}, 'min_distance': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.length_unit.LengthUnit'>, 'type': 'no-info'}, 'schema': {'type': 'float'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'EntityGetDistance', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_distance', 'schema': {'expected': ['entity_get_distance'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_distance', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f92100,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa7a12f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_distance",                                             },                                             expected_py: None,                                             name: "literal['entity_get_distance']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138c3570,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "min_distance": SerField {                                                     key_py: Py(                                                         0x00007f5fa963a430,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "max_distance": SerField {                                                     key_py: Py(                                                         0x00007f5fbb8e1d70,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetDistance",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_distance",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_distance", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9014b70,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9014ba0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "max_distance",                                                 lookup_key: Simple {                                                     key: "max_distance",                                                     py_key: Py(                                                         0x00007f5fa9305b70,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "max_distance",                                                                 Py(                                                                     0x00007f5fa9018b30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb8e1d70,                                                 ),                                                 validator: FunctionAfter(                                                     FunctionAfterValidator {                                                         validator: Float(                                                             FloatValidator {                                                                 strict: false,                                                                 allow_inf_nan: true,                                                             },                                                         ),                                                         func: Py(                                                             0x00005650138c30e0,                                                         ),                                                         config: Py(                                                             0x00007f5fa9018a00,                                                         ),                                                         name: "function-after[LengthUnit(), float]",                                                         field_name: None,                                                         info_arg: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "min_distance",                                                 lookup_key: Simple {                                                     key: "min_distance",                                                     py_key: Py(                                                         0x00007f5fa9018bb0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "min_distance",                                                                 Py(                                                                     0x00007f5fa9018b70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa963a430,                                                 ),                                                 validator: FunctionAfter(                                                     FunctionAfterValidator {                                                         validator: Float(                                                             FloatValidator {                                                                 strict: false,                                                                 allow_inf_nan: true,                                                             },                                                         ),                                                         func: Py(                                                             0x00005650138c30e0,                                                         ),                                                         config: Py(                                                             0x00007f5fa9018a00,                                                         ),                                                         name: "function-after[LengthUnit(), float]",                                                         field_name: None,                                                         info_arg: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetDistance",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138c3570,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetDistance",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9014bd0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9014c00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa7a12f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_distance": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa7a12f0,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_distance'",                                         name: "literal['entity_get_distance']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_distance']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_distance",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f92100,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_distance",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_distance.EntityGetDistance, type: Literal['entity_get_distance'] = 'entity_get_distance') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetDistance

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetDistance, required=True), 'type': FieldInfo(annotation=Literal['entity_get_distance'], required=False, default='entity_get_distance')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_distance']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_num_children(**data)

The response to the ‘EntityGetNumChildren’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_num_children.EntityGetNumChildren'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_num_children']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_num_children'>, 'config': {'title': 'entity_get_num_children'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_num_children'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_num_children'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_num_children:94901931428176', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_num_children.EntityGetNumChildren'>, 'config': {'title': 'EntityGetNumChildren'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_num_children.EntityGetNumChildren'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_num_children.EntityGetNumChildren'>>]}, 'ref': 'kittycad.models.entity_get_num_children.EntityGetNumChildren:94901925337008', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'num': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}}, 'model_name': 'EntityGetNumChildren', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_num_children', 'schema': {'expected': ['entity_get_num_children'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_num_children', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013e94950,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa7a1d70,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_num_children",                                             },                                             expected_py: None,                                             name: "literal['entity_get_num_children']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138c57b0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "num": SerField {                                                     key_py: Py(                                                         0x00007f5fbbb8f450,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Int(                                                             IntSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetNumChildren",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_num_children",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_num_children", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91912f0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9191320,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "num",                                                 lookup_key: Simple {                                                     key: "num",                                                     py_key: Py(                                                         0x00007f5fa9191290,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "num",                                                                 Py(                                                                     0x00007f5fa91912c0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbbb8f450,                                                 ),                                                 validator: Int(                                                     IntValidator {                                                         strict: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetNumChildren",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138c57b0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetNumChildren",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9191350,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9191380,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa7a1d70,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_num_children": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa7a1d70,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_num_children'",                                         name: "literal['entity_get_num_children']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_num_children']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_num_children",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013e94950,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_num_children",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_num_children.EntityGetNumChildren, type: Literal['entity_get_num_children'] = 'entity_get_num_children') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetNumChildren

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetNumChildren, required=True), 'type': FieldInfo(annotation=Literal['entity_get_num_children'], required=False, default='entity_get_num_children')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_num_children']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_parent_id(**data)

The response to the ‘EntityGetParentId’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_parent_id.EntityGetParentId'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_parent_id']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_parent_id'>, 'config': {'title': 'entity_get_parent_id'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_parent_id'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_parent_id'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_parent_id:94901931440352', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_parent_id.EntityGetParentId'>, 'config': {'title': 'EntityGetParentId'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_parent_id.EntityGetParentId'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_parent_id.EntityGetParentId'>>]}, 'ref': 'kittycad.models.entity_get_parent_id.EntityGetParentId:94901925347040', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'EntityGetParentId', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_parent_id', 'schema': {'expected': ['entity_get_parent_id'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_parent_id', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013e978e0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa7a0670,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_parent_id",                                             },                                             expected_py: None,                                             name: "literal['entity_get_parent_id']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138c7ee0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639930,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetParentId",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_parent_id",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_parent_id", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91924f0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9192520,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_id",                                                 lookup_key: Simple {                                                     key: "entity_id",                                                     py_key: Py(                                                         0x00007f5fa921e9f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_id",                                                                 Py(                                                                     0x00007f5fa921dc30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639930,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetParentId",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138c7ee0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetParentId",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9192550,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9192580,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa7a0670,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_parent_id": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa7a0670,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_parent_id'",                                         name: "literal['entity_get_parent_id']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_parent_id']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_parent_id",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013e978e0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_parent_id",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_parent_id.EntityGetParentId, type: Literal['entity_get_parent_id'] = 'entity_get_parent_id') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetParentId

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetParentId, required=True), 'type': FieldInfo(annotation=Literal['entity_get_parent_id'], required=False, default='entity_get_parent_id')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_parent_id']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_get_sketch_paths(**data)

The response to the ‘EntityGetSketchPaths’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_get_sketch_paths']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_get_sketch_paths'>, 'config': {'title': 'entity_get_sketch_paths'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_get_sketch_paths'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_get_sketch_paths'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_get_sketch_paths:94901931465008', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths'>, 'config': {'title': 'EntityGetSketchPaths'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths'>>]}, 'ref': 'kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths:94901925364000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'EntityGetSketchPaths', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_get_sketch_paths', 'schema': {'expected': ['entity_get_sketch_paths'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_get_sketch_paths', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013e9d930,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138cc120,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityGetSketchPaths",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa7a35b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_get_sketch_paths",                                             },                                             expected_py: None,                                             name: "literal['entity_get_sketch_paths']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_get_sketch_paths",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_get_sketch_paths", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9193f30,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9193f60,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa921c3b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa921cf30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityGetSketchPaths",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138cc120,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityGetSketchPaths",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9193f90,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9193fc0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa7a35b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_get_sketch_paths": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa7a35b0,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_get_sketch_paths'",                                         name: "literal['entity_get_sketch_paths']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_get_sketch_paths']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_get_sketch_paths",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013e9d930,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_get_sketch_paths",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_get_sketch_paths.EntityGetSketchPaths, type: Literal['entity_get_sketch_paths'] = 'entity_get_sketch_paths') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityGetSketchPaths

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityGetSketchPaths, required=True), 'type': FieldInfo(annotation=Literal['entity_get_sketch_paths'], required=False, default='entity_get_sketch_paths')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_get_sketch_paths']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_linear_pattern(**data)

The response to the ‘EntityLinearPattern’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_linear_pattern.EntityLinearPattern'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_linear_pattern']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern'>, 'config': {'title': 'entity_linear_pattern'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern:94901932512496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_linear_pattern.EntityLinearPattern'>, 'config': {'title': 'EntityLinearPattern'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_linear_pattern.EntityLinearPattern'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_linear_pattern.EntityLinearPattern'>>]}, 'ref': 'kittycad.models.entity_linear_pattern.EntityLinearPattern:94901925370272', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'EntityLinearPattern', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_linear_pattern', 'schema': {'expected': ['entity_linear_pattern'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_linear_pattern', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_distance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern_transform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f9d4f0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138cd9a0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityLinearPattern",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa3a19f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_linear_pattern",                                             },                                             expected_py: None,                                             name: "literal['entity_linear_pattern']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_linear_pattern",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_linear_pattern", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9017c60,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9017d20,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa901a9f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa901a8b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityLinearPattern",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138cd9a0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityLinearPattern",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9017e10,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9017de0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa3a19f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_linear_pattern": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa3a19f0,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_linear_pattern'",                                         name: "literal['entity_linear_pattern']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_linear_pattern']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_linear_pattern",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f9d4f0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_linear_pattern",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_linear_pattern.EntityLinearPattern, type: Literal['entity_linear_pattern'] = 'entity_linear_pattern') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityLinearPattern

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityLinearPattern, required=True), 'type': FieldInfo(annotation=Literal['entity_linear_pattern'], required=False, default='entity_linear_pattern')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_linear_pattern']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.entity_linear_pattern_transform(**data)

The response to the ‘EntityLinearPatternTransform’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['entity_linear_pattern_transform']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern_transform'>, 'config': {'title': 'entity_linear_pattern_transform'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern_transform'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern_transform'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.entity_linear_pattern_transform:94901932487424', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform'>, 'config': {'title': 'EntityLinearPatternTransform'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform'>>]}, 'ref': 'kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform:94901925376608', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'EntityLinearPatternTransform', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'entity_linear_pattern_transform', 'schema': {'expected': ['entity_linear_pattern_transform'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'entity_linear_pattern_transform', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_distance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f97300,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cad80,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_linear_pattern_transform",                                             },                                             expected_py: None,                                             name: "literal['entity_linear_pattern_transform']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138cf260,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "EntityLinearPatternTransform",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "entity_linear_pattern_transform",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="entity_linear_pattern_transform", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9016520,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa90165e0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa916e7b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa9019db0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "EntityLinearPatternTransform",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138cf260,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "EntityLinearPatternTransform",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9016610,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9016640,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cad80,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_linear_pattern_transform": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cad80,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_linear_pattern_transform'",                                         name: "literal['entity_linear_pattern_transform']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_linear_pattern_transform']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "entity_linear_pattern_transform",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f97300,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "entity_linear_pattern_transform",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.entity_linear_pattern_transform.EntityLinearPatternTransform, type: Literal['entity_linear_pattern_transform'] = 'entity_linear_pattern_transform') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: EntityLinearPatternTransform

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=EntityLinearPatternTransform, required=True), 'type': FieldInfo(annotation=Literal['entity_linear_pattern_transform'], required=False, default='entity_linear_pattern_transform')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['entity_linear_pattern_transform']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.export(**data)

The response to the ‘Export’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.export.Export'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['export']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.export'>, 'config': {'title': 'export'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.export'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.export'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.export:94901931809408', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.export.Export'>, 'config': {'title': 'Export'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.export.Export'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.export.Export'>>]}, 'ref': 'kittycad.models.export.Export:94901925452496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'files': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.export_file.ExportFile'>, 'config': {'title': 'ExportFile'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.export_file.ExportFile'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.export_file.ExportFile'>>]}, 'ref': 'kittycad.models.export_file.ExportFile:94901925446000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'contents': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.base64data.Base64Data'>, 'type': 'no-info'}, 'schema': {'type': 'bytes'}, 'type': 'function-after'}, 'type': 'model-field'}, 'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'ExportFile', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'Export', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'export', 'schema': {'expected': ['export'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'export', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ef1a80,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650138e1ad0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "files": SerField {                                                     key_py: Py(                                                         0x00007f5fbc9f0ca0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Model(                                                                     ModelSerializer {                                                                         class: Py(                                                                             0x00005650138e0170,                                                                         ),                                                                         serializer: Fields(                                                                             GeneralFieldsSerializer {                                                                                 fields: {                                                                                     "contents": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbc9f4a80,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Bytes(                                                                                                 BytesSerializer {                                                                                                     bytes_mode: Utf8,                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "name": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbca3a950,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Str(                                                                                                 StrSerializer,                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                 },                                                                                 computed_fields: Some(                                                                                     ComputedFields(                                                                                         [],                                                                                     ),                                                                                 ),                                                                                 mode: SimpleDict,                                                                                 extra_serializer: None,                                                                                 filter: SchemaFilter {                                                                                     include: None,                                                                                     exclude: None,                                                                                 },                                                                                 required_fields: 2,                                                                             },                                                                         ),                                                                         has_extra: false,                                                                         root_model: false,                                                                         name: "ExportFile",                                                                     },                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[ExportFile]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Export",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fb7baf0f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "export",                                             },                                             expected_py: None,                                             name: "literal['export']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "export",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="export", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9262280,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9262fd0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "files",                                                 lookup_key: Simple {                                                     key: "files",                                                     py_key: Py(                                                         0x00007f5fa9262bb0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "files",                                                                 Py(                                                                     0x00007f5fa9263a20,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbc9f0ca0,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Model(                                                                 ModelValidator {                                                                     revalidate: Never,                                                                     validator: ModelFields(                                                                         ModelFieldsValidator {                                                                             fields: [                                                                                 Field {                                                                                     name: "contents",                                                                                     lookup_key: Simple {                                                                                         key: "contents",                                                                                         py_key: Py(                                                                                             0x00007f5fa9334df0,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "contents",                                                                                                     Py(                                                                                                         0x00007f5fa923d7b0,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbc9f4a80,                                                                                     ),                                                                                     validator: FunctionAfter(                                                                                         FunctionAfterValidator {                                                                                             validator: Bytes(                                                                                                 BytesValidator {                                                                                                     strict: false,                                                                                                 },                                                                                             ),                                                                                             func: Py(                                                                                                 0x000056501349c0d0,                                                                                             ),                                                                                             config: Py(                                                                                                 0x00007f5fa923d640,                                                                                             ),                                                                                             name: "function-after[Base64Data(), bytes]",                                                                                             field_name: None,                                                                                             info_arg: false,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "name",                                                                                     lookup_key: Simple {                                                                                         key: "name",                                                                                         py_key: Py(                                                                                             0x00007f5fa9262eb0,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "name",                                                                                                     Py(                                                                                                         0x00007f5fa92630c0,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbca3a950,                                                                                     ),                                                                                     validator: Str(                                                                                         StrValidator {                                                                                             strict: false,                                                                                             coerce_numbers_to_str: false,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                             ],                                                                             model_name: "ExportFile",                                                                             extra_behavior: Ignore,                                                                             extras_validator: None,                                                                             strict: false,                                                                             from_attributes: false,                                                                             loc_by_alias: true,                                                                         },                                                                     ),                                                                     class: Py(                                                                         0x00005650138e0170,                                                                     ),                                                                     post_init: None,                                                                     frozen: false,                                                                     custom_init: false,                                                                     root_model: false,                                                                     undefined: Py(                                                                         0x00007f5fabd31e70,                                                                     ),                                                                     name: "ExportFile",                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Export",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650138e1ad0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Export",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9263060,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9262cd0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fb7baf0f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "export": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fb7baf0f0,                                                 ),                                             ],                                         },                                         expected_repr: "'export'",                                         name: "literal['export']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['export']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "export",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ef1a80,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "export",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.export.Export, type: Literal['export'] = 'export') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Export

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Export, required=True), 'type': FieldInfo(annotation=Literal['export'], required=False, default='export')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['export']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.extrusion_face_info(**data)

The response to the ‘ExtrusionFaceInfo’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['extrusion_face_info']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.extrusion_face_info'>, 'config': {'title': 'extrusion_face_info'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.extrusion_face_info'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.extrusion_face_info'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.extrusion_face_info:94901932560080', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>, 'config': {'title': 'ExtrusionFaceInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>>]}, 'ref': 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo:94901925591968', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'cap': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ExtrusionFaceCapType'>, 'members': [ExtrusionFaceCapType.NONE, ExtrusionFaceCapType.TOP, ExtrusionFaceCapType.BOTTOM], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.extrusion_face_cap_type.ExtrusionFaceCapType:94901925587808', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'curve_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'face_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'ExtrusionFaceInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'extrusion_face_info', 'schema': {'expected': ['extrusion_face_info'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'extrusion_face_info', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_circular_pattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_distance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern_transform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_extrusion_face_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013fa8ed0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa6e7770,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "extrusion_face_info",                                             },                                             expected_py: None,                                             name: "literal['extrusion_face_info']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013903ba0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "cap": SerField {                                                     key_py: Py(                                                         0x00007f5fb7b3d230,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x0000565013902b60,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "face_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa98ba7f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "curve_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9684230,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 3,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ExtrusionFaceInfo",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "extrusion_face_info",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="extrusion_face_info", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa90210e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9021080,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "cap",                                                 lookup_key: Simple {                                                     key: "cap",                                                     py_key: Py(                                                         0x00007f5fa9020f90,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "cap",                                                                 Py(                                                                     0x00007f5fa9020ff0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fb7b3d230,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x0000565013902b60,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "none": 0,                                                                     "top": 1,                                                                     "bottom": 2,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa964cef0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964cfb0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964d010,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'none', 'top' or 'bottom'",                                                         strict: false,                                                         class_repr: "ExtrusionFaceCapType",                                                         name: "str-enum[ExtrusionFaceCapType]",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "curve_id",                                                 lookup_key: Simple {                                                     key: "curve_id",                                                     py_key: Py(                                                         0x00007f5fa94cc9f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "curve_id",                                                                 Py(                                                                     0x00007f5fa9029bf0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9684230,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "face_id",                                                 lookup_key: Simple {                                                     key: "face_id",                                                     py_key: Py(                                                         0x00007f5fa9020fc0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "face_id",                                                                 Py(                                                                     0x00007f5fa9021110,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa98ba7f0,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ExtrusionFaceInfo",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013903ba0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ExtrusionFaceInfo",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9021050,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa90210b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa6e7770,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "extrusion_face_info": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa6e7770,                                                 ),                                             ],                                         },                                         expected_repr: "'extrusion_face_info'",                                         name: "literal['extrusion_face_info']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['extrusion_face_info']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "extrusion_face_info",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013fa8ed0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "extrusion_face_info",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.extrusion_face_info.ExtrusionFaceInfo, type: Literal['extrusion_face_info'] = 'extrusion_face_info') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ExtrusionFaceInfo

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ExtrusionFaceInfo, required=True), 'type': FieldInfo(annotation=Literal['extrusion_face_info'], required=False, default='extrusion_face_info')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['extrusion_face_info']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.face_get_center(**data)

The response to the ‘FaceGetCenter’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.face_get_center.FaceGetCenter'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['face_get_center']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.face_get_center'>, 'config': {'title': 'face_get_center'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.face_get_center'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.face_get_center'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.face_get_center:94901932254496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.face_get_center.FaceGetCenter'>, 'config': {'title': 'FaceGetCenter'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.face_get_center.FaceGetCenter'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.face_get_center.FaceGetCenter'>>]}, 'ref': 'kittycad.models.face_get_center.FaceGetCenter:94901925606912', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'FaceGetCenter', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'face_get_center', 'schema': {'expected': ['face_get_center'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'face_get_center', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 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with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f5e520,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013907600,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "pos": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3b3f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x00005650137bad60,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "z": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e828,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "x": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3d0b8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e7f8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 3,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "Point3d",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "FaceGetCenter",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa6e43f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "face_get_center",                                             },                                             expected_py: None,                                             name: "literal['face_get_center']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "face_get_center",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="face_get_center", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91dcd80,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91dcdb0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "pos",                                                 lookup_key: Simple {                                                     key: "pos",                                                     py_key: Py(                                                         0x00007f5fa91dcc90,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "pos",                                                                 Py(                                                                     0x00007f5fa91dcd50,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3b3f0,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "x",                                                                         lookup_key: Simple {                                                                             key: "x",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7c8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "x",                                                                                         Py(                                                                                             0x00007f5fbca3e7c8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3d0b8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "y",                                                                         lookup_key: Simple {                                                                             key: "y",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7f8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "y",                                                                                         Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e7f8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "z",                                                                         lookup_key: Simple {                                                                             key: "z",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e828,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "z",                                                                                         Py(                                                                                             0x00007f5fbca3e828,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e828,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "Point3d",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005650137bad60,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "Point3d",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "FaceGetCenter",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013907600,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "FaceGetCenter",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91dcde0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91dce10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa6e43f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "face_get_center": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa6e43f0,                                                 ),                                             ],                                         },                                         expected_repr: "'face_get_center'",                                         name: "literal['face_get_center']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['face_get_center']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "face_get_center",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f5e520,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "face_get_center",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.face_get_center.FaceGetCenter, type: Literal['face_get_center'] = 'face_get_center') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: FaceGetCenter

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=FaceGetCenter, required=True), 'type': FieldInfo(annotation=Literal['face_get_center'], required=False, default='face_get_center')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['face_get_center']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.face_get_gradient(**data)

The response to the ‘FaceGetGradient’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.face_get_gradient.FaceGetGradient'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['face_get_gradient']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.face_get_gradient'>, 'config': {'title': 'face_get_gradient'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.face_get_gradient'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.face_get_gradient'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.face_get_gradient:94901932286352', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.face_get_gradient.FaceGetGradient'>, 'config': {'title': 'FaceGetGradient'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.face_get_gradient.FaceGetGradient'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.face_get_gradient.FaceGetGradient'>>]}, 'ref': 'kittycad.models.face_get_gradient.FaceGetGradient:94901925617856', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'df_du': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'df_dv': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'normal': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'FaceGetGradient', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'face_get_gradient', 'schema': {'expected': ['face_get_gradient'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'face_get_gradient', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f66190,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501390a0c0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "df_du": SerField {                                                     key_py: Py(                                                         0x00007f5fa9690660,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "normal": SerField {                                                     key_py: Py(                                                         0x00007f5fb7b3a6d0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "df_dv": SerField {                                                     key_py: Py(                                                         0x00007f5fa96906f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 3,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "FaceGetGradient",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa6e7bf0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "face_get_gradient",                                             },                                             expected_py: None,                                             name: "literal['face_get_gradient']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "face_get_gradient",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="face_get_gradient", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91ddf50,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91ddf80,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "df_du",                                                 lookup_key: Simple {                                                     key: "df_du",                                                     py_key: Py(                                                         0x00007f5fa91dde30,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "df_du",                                                                 Py(                                                                     0x00007f5fa91dde60,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9690660,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "df_dv",                                                 lookup_key: Simple {                                                     key: "df_dv",                                                     py_key: Py(                                                         0x00007f5fa91dde90,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "df_dv",                                                                 Py(                                                                     0x00007f5fa91ddec0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa96906f0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "normal",                                                 lookup_key: Simple {                                                     key: "normal",                                                     py_key: Py(                                                         0x00007f5fa91ddef0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "normal",                                                                 Py(                                                                     0x00007f5fa91ddf20,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fb7b3a6d0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "FaceGetGradient",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501390a0c0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "FaceGetGradient",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91ddfb0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91ddfe0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa6e7bf0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "face_get_gradient": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa6e7bf0,                                                 ),                                             ],                                         },                                         expected_repr: "'face_get_gradient'",                                         name: "literal['face_get_gradient']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['face_get_gradient']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "face_get_gradient",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f66190,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "face_get_gradient",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.face_get_gradient.FaceGetGradient, type: Literal['face_get_gradient'] = 'face_get_gradient') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: FaceGetGradient

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=FaceGetGradient, required=True), 'type': FieldInfo(annotation=Literal['face_get_gradient'], required=False, default='face_get_gradient')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['face_get_gradient']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.face_get_position(**data)

The response to the ‘FaceGetPosition’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.face_get_position.FaceGetPosition'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['face_get_position']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.face_get_position'>, 'config': {'title': 'face_get_position'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.face_get_position'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.face_get_position'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.face_get_position:94901932232896', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.face_get_position.FaceGetPosition'>, 'config': {'title': 'FaceGetPosition'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.face_get_position.FaceGetPosition'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.face_get_position.FaceGetPosition'>>]}, 'ref': 'kittycad.models.face_get_position.FaceGetPosition:94901925631104', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'FaceGetPosition', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'face_get_position', 'schema': {'expected': ['face_get_position'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'face_get_position', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f590c0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501390d480,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "pos": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3b3f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x00005650137bad60,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "x": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3d0b8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e7f8,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "z": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3e828,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Float(                                                                                         FloatSerializer {                                                                                             inf_nan_mode: Null,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 3,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "Point3d",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "FaceGetPosition",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa6e4070,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "face_get_position",                                             },                                             expected_py: None,                                             name: "literal['face_get_position']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "face_get_position",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="face_get_position", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91d34e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91d3510,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "pos",                                                 lookup_key: Simple {                                                     key: "pos",                                                     py_key: Py(                                                         0x00007f5fa91d3480,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "pos",                                                                 Py(                                                                     0x00007f5fa91d34b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3b3f0,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "x",                                                                         lookup_key: Simple {                                                                             key: "x",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7c8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "x",                                                                                         Py(                                                                                             0x00007f5fbca3e7c8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3d0b8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "y",                                                                         lookup_key: Simple {                                                                             key: "y",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e7f8,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "y",                                                                                         Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e7f8,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "z",                                                                         lookup_key: Simple {                                                                             key: "z",                                                                             py_key: Py(                                                                                 0x00007f5fbca3e828,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "z",                                                                                         Py(                                                                                             0x00007f5fbca3e828,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3e828,                                                                         ),                                                                         validator: Float(                                                                             FloatValidator {                                                                                 strict: false,                                                                                 allow_inf_nan: true,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "Point3d",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005650137bad60,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "Point3d",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "FaceGetPosition",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501390d480,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "FaceGetPosition",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91d3540,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91d3570,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa6e4070,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "face_get_position": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa6e4070,                                                 ),                                             ],                                         },                                         expected_repr: "'face_get_position'",                                         name: "literal['face_get_position']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['face_get_position']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "face_get_position",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f590c0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "face_get_position",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.face_get_position.FaceGetPosition, type: Literal['face_get_position'] = 'face_get_position') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: FaceGetPosition

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=FaceGetPosition, required=True), 'type': FieldInfo(annotation=Literal['face_get_position'], required=False, default='face_get_position')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['face_get_position']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.face_is_planar(**data)

The response to the ‘FaceIsPlanar’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.face_is_planar.FaceIsPlanar'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['face_is_planar']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.face_is_planar'>, 'config': {'title': 'face_is_planar'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.face_is_planar'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.face_is_planar'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.face_is_planar:94901932216224', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.face_is_planar.FaceIsPlanar'>, 'config': {'title': 'FaceIsPlanar'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.face_is_planar.FaceIsPlanar'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.face_is_planar.FaceIsPlanar'>>]}, 'ref': 'kittycad.models.face_is_planar.FaceIsPlanar:94901925642304', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'origin': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'x_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'y_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'z_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'FaceIsPlanar', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'face_is_planar', 'schema': {'expected': ['face_is_planar'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'face_is_planar', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f54fa0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa6e4eb0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "face_is_planar",                                             },                                             expected_py: None,                                             name: "literal['face_is_planar']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013910040,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "z_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa96910e0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Recursive(                                                                             DefinitionRefSerializer {                                                                                 definition: "...",                                                                                 retry_with_lax_check: true,                                                                             },                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "origin": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3b060,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Recursive(                                                                             DefinitionRefSerializer {                                                                                 definition: "...",                                                                                 retry_with_lax_check: true,                                                                             },                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "y_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa9690ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Recursive(                                                                             DefinitionRefSerializer {                                                                                 definition: "...",                                                                                 retry_with_lax_check: true,                                                                             },                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "x_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa9690f00,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Recursive(                                                                             DefinitionRefSerializer {                                                                                 definition: "...",                                                                                 retry_with_lax_check: true,                                                                             },                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 4,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "FaceIsPlanar",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "face_is_planar",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="face_is_planar", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91d0b70,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91d0d20,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "origin",                                                 lookup_key: Simple {                                                     key: "origin",                                                     py_key: Py(                                                         0x00007f5fa9186340,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "origin",                                                                 Py(                                                                     0x00007f5fa91862e0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3b060,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: DefinitionRef(                                                                     DefinitionRefValidator {                                                                         definition: "Point3d",                                                                     },                                                                 ),                                                                 name: "nullable[Point3d]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[Point3d]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "x_axis",                                                 lookup_key: Simple {                                                     key: "x_axis",                                                     py_key: Py(                                                         0x00007f5fa91862b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "x_axis",                                                                 Py(                                                                     0x00007f5fa9186310,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9690f00,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: DefinitionRef(                                                                     DefinitionRefValidator {                                                                         definition: "Point3d",                                                                     },                                                                 ),                                                                 name: "nullable[Point3d]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[Point3d]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "y_axis",                                                 lookup_key: Simple {                                                     key: "y_axis",                                                     py_key: Py(                                                         0x00007f5fa91d0c90,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "y_axis",                                                                 Py(                                                                     0x00007f5fa91d0cc0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9690ff0,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: DefinitionRef(                                                                     DefinitionRefValidator {                                                                         definition: "Point3d",                                                                     },                                                                 ),                                                                 name: "nullable[Point3d]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[Point3d]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "z_axis",                                                 lookup_key: Simple {                                                     key: "z_axis",                                                     py_key: Py(                                                         0x00007f5fa91d0bd0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "z_axis",                                                                 Py(                                                                     0x00007f5fa91d0c00,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa96910e0,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: DefinitionRef(                                                                     DefinitionRefValidator {                                                                         definition: "Point3d",                                                                     },                                                                 ),                                                                 name: "nullable[Point3d]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[Point3d]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "FaceIsPlanar",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013910040,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "FaceIsPlanar",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91d09c0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91d0a20,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa6e4eb0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "face_is_planar": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa6e4eb0,                                                 ),                                             ],                                         },                                         expected_repr: "'face_is_planar'",                                         name: "literal['face_is_planar']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['face_is_planar']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "face_is_planar",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f54fa0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "face_is_planar",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.face_is_planar.FaceIsPlanar, type: Literal['face_is_planar'] = 'face_is_planar') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: FaceIsPlanar

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=FaceIsPlanar, required=True), 'type': FieldInfo(annotation=Literal['face_is_planar'], required=False, default='face_is_planar')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['face_is_planar']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.get_entity_type(**data)

The response to the ‘GetEntityType’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.get_entity_type.GetEntityType'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['get_entity_type']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.get_entity_type'>, 'config': {'title': 'get_entity_type'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.get_entity_type'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.get_entity_type'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.get_entity_type:94901932009248', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.get_entity_type.GetEntityType'>, 'config': {'title': 'GetEntityType'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.get_entity_type.GetEntityType'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.get_entity_type.GetEntityType'>>]}, 'ref': 'kittycad.models.get_entity_type.GetEntityType:94901926049280', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'EntityType'>, 'members': [EntityType.ENTITY, EntityType.OBJECT, EntityType.PATH, EntityType.CURVE, EntityType.SOLID2D, EntityType.SOLID3D, EntityType.EDGE, EntityType.FACE, EntityType.PLANE, EntityType.VERTEX], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.entity_type.EntityType:94901925380464', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'GetEntityType', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'get_entity_type', 'schema': {'expected': ['get_entity_type'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'get_entity_type', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f22720,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa57e1f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "get_entity_type",                                             },                                             expected_py: None,                                             name: "literal['get_entity_type']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013973600,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_type": SerField {                                                     key_py: Py(                                                         0x00007f5faa3a2330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x00005650138d0170,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "GetEntityType",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "get_entity_type",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="get_entity_type", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91a2970,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91a29a0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_type",                                                 lookup_key: Simple {                                                     key: "entity_type",                                                     py_key: Py(                                                         0x00007f5fa91a82f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_type",                                                                 Py(                                                                     0x00007f5fa91a81b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa3a2330,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x00005650138d0170,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "plane": 8,                                                                     "face": 7,                                                                     "edge": 6,                                                                     "object": 1,                                                                     "vertex": 9,                                                                     "path": 2,                                                                     "solid3d": 5,                                                                     "solid2d": 4,                                                                     "curve": 3,                                                                     "entity": 0,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa975bf50,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c050,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c0b0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c110,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c170,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c1d0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c230,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c290,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c2f0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa964c350,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'entity', 'object', 'path', 'curve', 'solid2d', 'solid3d', 'edge', 'face', 'plane' or 'vertex'",                                                         strict: false,                                                         class_repr: "EntityType",                                                         name: "str-enum[EntityType]",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "GetEntityType",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013973600,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "GetEntityType",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91a29d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91a2a00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa57e1f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "get_entity_type": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa57e1f0,                                                 ),                                             ],                                         },                                         expected_repr: "'get_entity_type'",                                         name: "literal['get_entity_type']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['get_entity_type']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "get_entity_type",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f22720,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "get_entity_type",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.get_entity_type.GetEntityType, type: Literal['get_entity_type'] = 'get_entity_type') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: GetEntityType

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=GetEntityType, required=True), 'type': FieldInfo(annotation=Literal['get_entity_type'], required=False, default='get_entity_type')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['get_entity_type']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.get_num_objects(**data)

The response to the ‘GetNumObjects’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.get_num_objects.GetNumObjects'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['get_num_objects']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.get_num_objects'>, 'config': {'title': 'get_num_objects'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.get_num_objects'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.get_num_objects'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.get_num_objects:94901931876432', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.get_num_objects.GetNumObjects'>, 'config': {'title': 'GetNumObjects'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.get_num_objects.GetNumObjects'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.get_num_objects.GetNumObjects'>>]}, 'ref': 'kittycad.models.get_num_objects.GetNumObjects:94901926058592', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'num_objects': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}}, 'model_name': 'GetNumObjects', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'get_num_objects', 'schema': {'expected': ['get_num_objects'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'get_num_objects', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f02050,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa57e3b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "get_num_objects",                                             },                                             expected_py: None,                                             name: "literal['get_num_objects']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013975a60,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "num_objects": SerField {                                                     key_py: Py(                                                         0x00007f5fac6b7570,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Int(                                                             IntSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "GetNumObjects",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "get_num_objects",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="get_num_objects", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9179230,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9179260,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "num_objects",                                                 lookup_key: Simple {                                                     key: "num_objects",                                                     py_key: Py(                                                         0x00007f5fa926e9b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "num_objects",                                                                 Py(                                                                     0x00007f5fa926df70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fac6b7570,                                                 ),                                                 validator: Int(                                                     IntValidator {                                                         strict: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "GetNumObjects",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013975a60,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "GetNumObjects",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9179290,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91792c0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa57e3b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "get_num_objects": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa57e3b0,                                                 ),                                             ],                                         },                                         expected_repr: "'get_num_objects'",                                         name: "literal['get_num_objects']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['get_num_objects']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "get_num_objects",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f02050,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "get_num_objects",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.get_num_objects.GetNumObjects, type: Literal['get_num_objects'] = 'get_num_objects') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: GetNumObjects

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=GetNumObjects, required=True), 'type': FieldInfo(annotation=Literal['get_num_objects'], required=False, default='get_num_objects')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['get_num_objects']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.get_sketch_mode_plane(**data)

The response to the ‘GetSketchModePlane’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.get_sketch_mode_plane.GetSketchModePlane'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['get_sketch_mode_plane']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.get_sketch_mode_plane'>, 'config': {'title': 'get_sketch_mode_plane'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.get_sketch_mode_plane'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.get_sketch_mode_plane'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.get_sketch_mode_plane:94901932449328', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.get_sketch_mode_plane.GetSketchModePlane'>, 'config': {'title': 'GetSketchModePlane'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.get_sketch_mode_plane.GetSketchModePlane'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.get_sketch_mode_plane.GetSketchModePlane'>>]}, 'ref': 'kittycad.models.get_sketch_mode_plane.GetSketchModePlane:94901926073696', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'origin': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'x_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'y_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'z_axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'GetSketchModePlane', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'get_sketch_mode_plane', 'schema': {'expected': ['get_sketch_mode_plane'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'get_sketch_mode_plane', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f8de30,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013979560,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "origin": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3b060,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "y_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa9690ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "z_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa96910e0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "x_axis": SerField {                                                     key_py: Py(                                                         0x00007f5fa9690f00,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 4,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "GetSketchModePlane",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa57e670,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "get_sketch_mode_plane",                                             },                                             expected_py: None,                                             name: "literal['get_sketch_mode_plane']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "get_sketch_mode_plane",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="get_sketch_mode_plane", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9003540,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9003600,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "origin",                                                 lookup_key: Simple {                                                     key: "origin",                                                     py_key: Py(                                                         0x00007f5fa9003480,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "origin",                                                                 Py(                                                                     0x00007f5fa90034b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3b060,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "x_axis",                                                 lookup_key: Simple {                                                     key: "x_axis",                                                     py_key: Py(                                                         0x00007f5fa9003450,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "x_axis",                                                                 Py(                                                                     0x00007f5fa9003390,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9690f00,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "y_axis",                                                 lookup_key: Simple {                                                     key: "y_axis",                                                     py_key: Py(                                                         0x00007f5fa9003360,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "y_axis",                                                                 Py(                                                                     0x00007f5fa9003420,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9690ff0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "z_axis",                                                 lookup_key: Simple {                                                     key: "z_axis",                                                     py_key: Py(                                                         0x00007f5fa9003510,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "z_axis",                                                                 Py(                                                                     0x00007f5fa90034e0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa96910e0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "GetSketchModePlane",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013979560,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "GetSketchModePlane",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9003630,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9003570,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa57e670,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "get_sketch_mode_plane": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa57e670,                                                 ),                                             ],                                         },                                         expected_repr: "'get_sketch_mode_plane'",                                         name: "literal['get_sketch_mode_plane']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['get_sketch_mode_plane']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "get_sketch_mode_plane",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f8de30,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "get_sketch_mode_plane",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.get_sketch_mode_plane.GetSketchModePlane, type: Literal['get_sketch_mode_plane'] = 'get_sketch_mode_plane') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: GetSketchModePlane

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=GetSketchModePlane, required=True), 'type': FieldInfo(annotation=Literal['get_sketch_mode_plane'], required=False, default='get_sketch_mode_plane')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['get_sketch_mode_plane']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.highlight_set_entity(**data)

The response to the ‘HighlightSetEntity’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.highlight_set_entity.HighlightSetEntity'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['highlight_set_entity']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.highlight_set_entity'>, 'config': {'title': 'highlight_set_entity'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.highlight_set_entity'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.highlight_set_entity'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.highlight_set_entity:94901931836560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.highlight_set_entity.HighlightSetEntity'>, 'config': {'title': 'HighlightSetEntity'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.highlight_set_entity.HighlightSetEntity'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.highlight_set_entity.HighlightSetEntity'>>]}, 'ref': 'kittycad.models.highlight_set_entity.HighlightSetEntity:94901926079504', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'sequence': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'int'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'HighlightSetEntity', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'highlight_set_entity', 'schema': {'expected': ['highlight_set_entity'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'highlight_set_entity', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ef8490,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fab7c7470,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "highlight_set_entity",                                             },                                             expected_py: None,                                             name: "literal['highlight_set_entity']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501397ac10,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639930,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "sequence": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3bde8,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Int(                                                                             IntSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "HighlightSetEntity",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "highlight_set_entity",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="highlight_set_entity", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa928af10,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa928af40,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_id",                                                 lookup_key: Simple {                                                     key: "entity_id",                                                     py_key: Py(                                                         0x00007f5fa923d930,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_id",                                                                 Py(                                                                     0x00007f5fa923edf0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639930,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "sequence",                                                 lookup_key: Simple {                                                     key: "sequence",                                                     py_key: Py(                                                         0x00007f5fa923fa30,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "sequence",                                                                 Py(                                                                     0x00007f5fa923d8b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3bde8,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Int(                                                                     IntValidator {                                                                         strict: false,                                                                     },                                                                 ),                                                                 name: "nullable[int]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[int]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "HighlightSetEntity",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501397ac10,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "HighlightSetEntity",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa928af70,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa928afa0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fab7c7470,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "highlight_set_entity": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fab7c7470,                                                 ),                                             ],                                         },                                         expected_repr: "'highlight_set_entity'",                                         name: "literal['highlight_set_entity']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['highlight_set_entity']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "highlight_set_entity",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ef8490,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "highlight_set_entity",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.highlight_set_entity.HighlightSetEntity, type: Literal['highlight_set_entity'] = 'highlight_set_entity') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: HighlightSetEntity

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=HighlightSetEntity, required=True), 'type': FieldInfo(annotation=Literal['highlight_set_entity'], required=False, default='highlight_set_entity')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['highlight_set_entity']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.import_files(**data)

The response to the ‘ImportFiles’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.import_files.ImportFiles'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['import_files']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.import_files'>, 'config': {'title': 'import_files'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.import_files'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.import_files'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.import_files:94901932324624', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.import_files.ImportFiles'>, 'config': {'title': 'ImportFiles'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.import_files.ImportFiles'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.import_files.ImportFiles'>>]}, 'ref': 'kittycad.models.import_files.ImportFiles:94901926144592', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'object_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'ImportFiles', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'import_files', 'schema': {'expected': ['import_files'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'import_files', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f6f710,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fab7c5270,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "import_files",                                             },                                             expected_py: None,                                             name: "literal['import_files']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501398aa50,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "object_id": SerField {                                                     key_py: Py(                                                         0x00007f5fad7cf0f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ImportFiles",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "import_files",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="import_files", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91e90e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91e9110,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "object_id",                                                 lookup_key: Simple {                                                     key: "object_id",                                                     py_key: Py(                                                         0x00007f5fa91e4df0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "object_id",                                                                 Py(                                                                     0x00007f5fa91e4db0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fad7cf0f0,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ImportFiles",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501398aa50,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ImportFiles",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91e9140,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91e9170,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fab7c5270,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "import_files": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fab7c5270,                                                 ),                                             ],                                         },                                         expected_repr: "'import_files'",                                         name: "literal['import_files']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['import_files']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "import_files",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f6f710,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "import_files",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.import_files.ImportFiles, type: Literal['import_files'] = 'import_files') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ImportFiles

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ImportFiles, required=True), 'type': FieldInfo(annotation=Literal['import_files'], required=False, default='import_files')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['import_files']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.imported_geometry(**data)

The response to the ‘ImportedGeometry’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.imported_geometry.ImportedGeometry'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['imported_geometry']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.imported_geometry'>, 'config': {'title': 'imported_geometry'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.imported_geometry'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.imported_geometry'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.imported_geometry:94901932347552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.imported_geometry.ImportedGeometry'>, 'config': {'title': 'ImportedGeometry'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.imported_geometry.ImportedGeometry'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.imported_geometry.ImportedGeometry'>>]}, 'ref': 'kittycad.models.imported_geometry.ImportedGeometry:94901926148288', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'value': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'ImportedGeometry', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'imported_geometry', 'schema': {'expected': ['imported_geometry'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'imported_geometry', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f750a0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fab7c5730,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "imported_geometry",                                             },                                             expected_py: None,                                             name: "literal['imported_geometry']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x000056501398b8c0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "id": SerField {                                                     key_py: Py(                                                         0x00007f5fbca39688,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "value": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3cdc0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ImportedGeometry",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "imported_geometry",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="imported_geometry", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91e8ff0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91e8f00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "id",                                                 lookup_key: Simple {                                                     key: "id",                                                     py_key: Py(                                                         0x00007f5fa91ea550,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "id",                                                                 Py(                                                                     0x00007f5fa91ea580,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca39688,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "value",                                                 lookup_key: Simple {                                                     key: "value",                                                     py_key: Py(                                                         0x00007f5fa91ea5b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "value",                                                                 Py(                                                                     0x00007f5fa91e8fc0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3cdc0,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ImportedGeometry",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x000056501398b8c0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ImportedGeometry",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91e8f30,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91e8ea0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fab7c5730,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "imported_geometry": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fab7c5730,                                                 ),                                             ],                                         },                                         expected_repr: "'imported_geometry'",                                         name: "literal['imported_geometry']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['imported_geometry']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "imported_geometry",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f750a0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "imported_geometry",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.imported_geometry.ImportedGeometry, type: Literal['imported_geometry'] = 'imported_geometry') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ImportedGeometry

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ImportedGeometry, required=True), 'type': FieldInfo(annotation=Literal['imported_geometry'], required=False, default='imported_geometry')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['imported_geometry']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.mass(**data)

The response to the ‘Mass’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.mass.Mass'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['mass']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.mass'>, 'config': {'title': 'mass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.mass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.mass'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.mass:94901932369376', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.mass.Mass'>, 'config': {'title': 'Mass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.mass.Mass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.mass.Mass'>>]}, 'ref': 'kittycad.models.mass.Mass:94901926460256', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'mass': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitMass'>, 'members': [UnitMass.G, UnitMass.KG, UnitMass.LB], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_mass.UnitMass:94901916343200', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'Mass', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mass', 'schema': {'expected': ['mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mass', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f7a5e0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa7a6f40,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "mass",                                             },                                             expected_py: None,                                             name: "literal['mass']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005650139d7b60,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "output_unit": SerField {                                                     key_py: Py(                                                         0x00007f5faa0e8ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x0000565013031ba0,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "mass": SerField {                                                     key_py: Py(                                                         0x00007f5faa7a6f40,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Mass",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "mass",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="mass", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91ebcc0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91ebcf0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "mass",                                                 lookup_key: Simple {                                                     key: "mass",                                                     py_key: Py(                                                         0x00007f5fa91ebc60,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "mass",                                                                 Py(                                                                     0x00007f5fa91ebc90,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa7a6f40,                                                 ),                                                 validator: Float(                                                     FloatValidator {                                                         strict: false,                                                         allow_inf_nan: true,                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "output_unit",                                                 lookup_key: Simple {                                                     key: "output_unit",                                                     py_key: Py(                                                         0x00007f5fa91e6430,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "output_unit",                                                                 Py(                                                                     0x00007f5fa91e63f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa0e8ff0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x0000565013031ba0,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "g": 0,                                                                     "kg": 1,                                                                     "lb": 2,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa98d49b0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4a10,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4a70,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'g', 'kg' or 'lb'",                                                         strict: false,                                                         class_repr: "UnitMass",                                                         name: "str-enum[UnitMass]",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Mass",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x00005650139d7b60,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Mass",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91ebd20,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91ebd50,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa7a6f40,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "mass": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa7a6f40,                                                 ),                                             ],                                         },                                         expected_repr: "'mass'",                                         name: "literal['mass']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['mass']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "mass",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f7a5e0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "mass",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.mass.Mass, type: Literal['mass'] = 'mass') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Mass

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Mass, required=True), 'type': FieldInfo(annotation=Literal['mass'], required=False, default='mass')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['mass']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.mouse_click(**data)

The response to the ‘MouseClick’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.mouse_click.MouseClick'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['mouse_click']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.mouse_click'>, 'config': {'title': 'mouse_click'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.mouse_click'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.mouse_click'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.mouse_click:94901932059216', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.mouse_click.MouseClick'>, 'config': {'title': 'MouseClick'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.mouse_click.MouseClick'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.mouse_click.MouseClick'>>]}, 'ref': 'kittycad.models.mouse_click.MouseClick:94901928931040', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entities_modified': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}, 'entities_selected': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'MouseClick', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mouse_click', 'schema': {'expected': ['mouse_click'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mouse_click', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f2ea50,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1f5bf0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "mouse_click",                                             },                                             expected_py: None,                                             name: "literal['mouse_click']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013c32ee0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entities_modified": SerField {                                                     key_py: Py(                                                         0x00007f5fa92a23f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "entities_selected": SerField {                                                     key_py: Py(                                                         0x00007f5fa92a26f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "MouseClick",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "mouse_click",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="mouse_click", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91ae400,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91ae430,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entities_modified",                                                 lookup_key: Simple {                                                     key: "entities_modified",                                                     py_key: Py(                                                         0x00007f5fa91ab330,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entities_modified",                                                                 Py(                                                                     0x00007f5fa91ab2f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa92a23f0,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "entities_selected",                                                 lookup_key: Simple {                                                     key: "entities_selected",                                                     py_key: Py(                                                         0x00007f5fa91ab3b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entities_selected",                                                                 Py(                                                                     0x00007f5fa91ab370,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa92a26f0,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "MouseClick",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013c32ee0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "MouseClick",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91ae460,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91ae490,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1f5bf0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "mouse_click": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1f5bf0,                                                 ),                                             ],                                         },                                         expected_repr: "'mouse_click'",                                         name: "literal['mouse_click']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['mouse_click']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "mouse_click",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f2ea50,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "mouse_click",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.mouse_click.MouseClick, type: Literal['mouse_click'] = 'mouse_click') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: MouseClick

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=MouseClick, required=True), 'type': FieldInfo(annotation=Literal['mouse_click'], required=False, default='mouse_click')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['mouse_click']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_get_curve_uuid(**data)

The response to the ‘PathGetCurveUuid’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_get_curve_uuid.PathGetCurveUuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_get_curve_uuid']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuid'>, 'config': {'title': 'path_get_curve_uuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuid'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuid:94901932151120', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_get_curve_uuid.PathGetCurveUuid'>, 'config': {'title': 'PathGetCurveUuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_get_curve_uuid.PathGetCurveUuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_get_curve_uuid.PathGetCurveUuid'>>]}, 'ref': 'kittycad.models.path_get_curve_uuid.PathGetCurveUuid:94901931323520', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'curve_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'PathGetCurveUuid', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_get_curve_uuid', 'schema': {'expected': ['path_get_curve_uuid'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_get_curve_uuid', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f45150,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e7b080,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "curve_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9684230,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathGetCurveUuid",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1f63b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_get_curve_uuid",                                             },                                             expected_py: None,                                             name: "literal['path_get_curve_uuid']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_get_curve_uuid",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_get_curve_uuid", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91c5020,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91c5050,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "curve_id",                                                 lookup_key: Simple {                                                     key: "curve_id",                                                     py_key: Py(                                                         0x00007f5fa91c0ef0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "curve_id",                                                                 Py(                                                                     0x00007f5fa91c0eb0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9684230,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathGetCurveUuid",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e7b080,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathGetCurveUuid",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91c5080,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91c50b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1f63b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_get_curve_uuid": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1f63b0,                                                 ),                                             ],                                         },                                         expected_repr: "'path_get_curve_uuid'",                                         name: "literal['path_get_curve_uuid']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_get_curve_uuid']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_get_curve_uuid",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f45150,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_get_curve_uuid",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_get_curve_uuid.PathGetCurveUuid, type: Literal['path_get_curve_uuid'] = 'path_get_curve_uuid') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathGetCurveUuid

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathGetCurveUuid, required=True), 'type': FieldInfo(annotation=Literal['path_get_curve_uuid'], required=False, default='path_get_curve_uuid')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_get_curve_uuid']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_get_curve_uuids_for_vertices(**data)

The response to the ‘PathGetCurveUuidsForVertices’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_get_curve_uuids_for_vertices']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuids_for_vertices'>, 'config': {'title': 'path_get_curve_uuids_for_vertices'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuids_for_vertices'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuids_for_vertices'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_get_curve_uuids_for_vertices:94901932127488', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices'>, 'config': {'title': 'PathGetCurveUuidsForVertices'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices'>>]}, 'ref': 'kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices:94901931595200', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'curve_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'PathGetCurveUuidsForVertices', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_get_curve_uuids_for_vertices', 'schema': {'expected': ['path_get_curve_uuids_for_vertices'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_get_curve_uuids_for_vertices', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f3f500,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013ebd5c0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "curve_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa916d170,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathGetCurveUuidsForVertices",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cb640,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_get_curve_uuids_for_vertices",                                             },                                             expected_py: None,                                             name: "literal['path_get_curve_uuids_for_vertices']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_get_curve_uuids_for_vertices",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_get_curve_uuids_for_vertices", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91bb8a0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91bb8d0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "curve_ids",                                                 lookup_key: Simple {                                                     key: "curve_ids",                                                     py_key: Py(                                                         0x00007f5fa91b7b70,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "curve_ids",                                                                 Py(                                                                     0x00007f5fa91b7b30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa916d170,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathGetCurveUuidsForVertices",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013ebd5c0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathGetCurveUuidsForVertices",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91bb900,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91bb930,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cb640,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_get_curve_uuids_for_vertices": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cb640,                                                 ),                                             ],                                         },                                         expected_repr: "'path_get_curve_uuids_for_vertices'",                                         name: "literal['path_get_curve_uuids_for_vertices']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_get_curve_uuids_for_vertices']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_get_curve_uuids_for_vertices",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f3f500,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_get_curve_uuids_for_vertices",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_get_curve_uuids_for_vertices.PathGetCurveUuidsForVertices, type: Literal['path_get_curve_uuids_for_vertices'] = 'path_get_curve_uuids_for_vertices') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathGetCurveUuidsForVertices

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathGetCurveUuidsForVertices, required=True), 'type': FieldInfo(annotation=Literal['path_get_curve_uuids_for_vertices'], required=False, default='path_get_curve_uuids_for_vertices')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_get_curve_uuids_for_vertices']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_get_info(**data)

The response to the ‘PathGetInfo’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_get_info.PathGetInfo'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_get_info']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_get_info'>, 'config': {'title': 'path_get_info'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_get_info'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_get_info'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_get_info:94901932094640', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_get_info.PathGetInfo'>, 'config': {'title': 'PathGetInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_get_info.PathGetInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_get_info.PathGetInfo'>>]}, 'ref': 'kittycad.models.path_get_info.PathGetInfo:94901931591408', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'segments': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.path_segment_info.PathSegmentInfo'>, 'config': {'title': 'PathSegmentInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment_info.PathSegmentInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment_info.PathSegmentInfo'>>]}, 'ref': 'kittycad.models.path_segment_info.PathSegmentInfo:94901931581728', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'command': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'PathCommand'>, 'members': [PathCommand.MOVE_TO, PathCommand.LINE_TO, PathCommand.BEZ_CURVE_TO, PathCommand.NURBS_CURVE_TO, PathCommand.ADD_ARC], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.path_command.PathCommand:94901931579168', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'command_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'function': {'function': <class 'kittycad.models.modeling_cmd_id.ModelingCmdId'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'relative': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}}, 'model_name': 'PathSegmentInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'PathGetInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_get_info', 'schema': {'expected': ['path_get_info'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_get_info', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f374b0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1bef30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_get_info",                                             },                                             expected_py: None,                                             name: "literal['path_get_info']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013ebc6f0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "segments": SerField {                                                     key_py: Py(                                                         0x00007f5fbb563470,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Model(                                                                     ModelSerializer {                                                                         class: Py(                                                                             0x0000565013eba120,                                                                         ),                                                                         serializer: Fields(                                                                             GeneralFieldsSerializer {                                                                                 fields: {                                                                                     "relative": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fad91d2b0,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Bool(                                                                                                 BoolSerializer,                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "command": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fbca37f80,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Enum(                                                                                                 EnumSerializer {                                                                                                     class: Py(                                                                                                         0x0000565013eb9720,                                                                                                     ),                                                                                                     serializer: Some(                                                                                                         Str(                                                                                                             StrSerializer,                                                                                                         ),                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "command_id": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fa916e870,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             WithDefault(                                                                                                 WithDefaultSerializer {                                                                                                     default: Default(                                                                                                         Py(                                                                                                             0x00007f5fbc947100,                                                                                                         ),                                                                                                     ),                                                                                                     serializer: Nullable(                                                                                                         NullableSerializer {                                                                                                             serializer: Str(                                                                                                                 StrSerializer,                                                                                                             ),                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                 },                                                                                 computed_fields: Some(                                                                                     ComputedFields(                                                                                         [],                                                                                     ),                                                                                 ),                                                                                 mode: SimpleDict,                                                                                 extra_serializer: None,                                                                                 filter: SchemaFilter {                                                                                     include: None,                                                                                     exclude: None,                                                                                 },                                                                                 required_fields: 3,                                                                             },                                                                         ),                                                                         has_extra: false,                                                                         root_model: false,                                                                         name: "PathSegmentInfo",                                                                     },                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[PathSegmentInfo]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathGetInfo",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_get_info",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_get_info", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91af7e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91af780,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "segments",                                                 lookup_key: Simple {                                                     key: "segments",                                                     py_key: Py(                                                         0x00007f5fa91b59f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "segments",                                                                 Py(                                                                     0x00007f5fa91b5a70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb563470,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Model(                                                                 ModelValidator {                                                                     revalidate: Never,                                                                     validator: ModelFields(                                                                         ModelFieldsValidator {                                                                             fields: [                                                                                 Field {                                                                                     name: "command",                                                                                     lookup_key: Simple {                                                                                         key: "command",                                                                                         py_key: Py(                                                                                             0x00007f5fa91af6c0,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "command",                                                                                                     Py(                                                                                                         0x00007f5fa91af810,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fbca37f80,                                                                                     ),                                                                                     validator: StrEnum(                                                                                         EnumValidator {                                                                                             phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                                                             class: Py(                                                                                                 0x0000565013eb9720,                                                                                             ),                                                                                             lookup: LiteralLookup {                                                                                                 expected_bool: None,                                                                                                 expected_int: None,                                                                                                 expected_str: Some(                                                                                                     {                                                                                                         "line_to": 1,                                                                                                         "add_arc": 4,                                                                                                         "bez_curve_to": 2,                                                                                                         "move_to": 0,                                                                                                         "nurbs_curve_to": 3,                                                                                                     },                                                                                                 ),                                                                                                 expected_py_dict: None,                                                                                                 expected_py_values: None,                                                                                                 values: [                                                                                                     Py(                                                                                                         0x00007f5fa942b770,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa942b830,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa942b890,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa942b950,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa942b9b0,                                                                                                     ),                                                                                                 ],                                                                                             },                                                                                             missing: None,                                                                                             expected_repr: "'move_to', 'line_to', 'bez_curve_to', 'nurbs_curve_to' or 'add_arc'",                                                                                             strict: false,                                                                                             class_repr: "PathCommand",                                                                                             name: "str-enum[PathCommand]",                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "command_id",                                                                                     lookup_key: Simple {                                                                                         key: "command_id",                                                                                         py_key: Py(                                                                                             0x00007f5fa91b5870,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "command_id",                                                                                                     Py(                                                                                                         0x00007f5fa91b5070,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fa916e870,                                                                                     ),                                                                                     validator: WithDefault(                                                                                         WithDefaultValidator {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             on_error: Raise,                                                                                             validator: Nullable(                                                                                                 NullableValidator {                                                                                                     validator: FunctionAfter(                                                                                                         FunctionAfterValidator {                                                                                                             validator: Str(                                                                                                                 StrValidator {                                                                                                                     strict: false,                                                                                                                     coerce_numbers_to_str: false,                                                                                                                 },                                                                                                             ),                                                                                                             func: Py(                                                                                                                 0x0000565013956d90,                                                                                                             ),                                                                                                             config: Py(                                                                                                                 0x00007f5fa931f3c0,                                                                                                             ),                                                                                                             name: "function-after[ModelingCmdId(), str]",                                                                                                             field_name: None,                                                                                                             info_arg: false,                                                                                                         },                                                                                                     ),                                                                                                     name: "nullable[function-after[ModelingCmdId(), str]]",                                                                                                 },                                                                                             ),                                                                                             validate_default: false,                                                                                             copy_default: false,                                                                                             name: "default[nullable[function-after[ModelingCmdId(), str]]]",                                                                                             undefined: Py(                                                                                                 0x00007f5fabd31e70,                                                                                             ),                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "relative",                                                                                     lookup_key: Simple {                                                                                         key: "relative",                                                                                         py_key: Py(                                                                                             0x00007f5fa91b58f0,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "relative",                                                                                                     Py(                                                                                                         0x00007f5fa91b5730,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fad91d2b0,                                                                                     ),                                                                                     validator: Bool(                                                                                         BoolValidator {                                                                                             strict: false,                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                             ],                                                                             model_name: "PathSegmentInfo",                                                                             extra_behavior: Ignore,                                                                             extras_validator: None,                                                                             strict: false,                                                                             from_attributes: false,                                                                             loc_by_alias: true,                                                                         },                                                                     ),                                                                     class: Py(                                                                         0x0000565013eba120,                                                                     ),                                                                     post_init: None,                                                                     frozen: false,                                                                     custom_init: false,                                                                     root_model: false,                                                                     undefined: Py(                                                                         0x00007f5fabd31e70,                                                                     ),                                                                     name: "PathSegmentInfo",                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathGetInfo",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013ebc6f0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathGetInfo",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91af750,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91af7b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1bef30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_get_info": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1bef30,                                                 ),                                             ],                                         },                                         expected_repr: "'path_get_info'",                                         name: "literal['path_get_info']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_get_info']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_get_info",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f374b0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_get_info",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_get_info.PathGetInfo, type: Literal['path_get_info'] = 'path_get_info') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathGetInfo

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathGetInfo, required=True), 'type': FieldInfo(annotation=Literal['path_get_info'], required=False, default='path_get_info')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_get_info']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_get_sketch_target_uuid(**data)

The response to the ‘PathGetSketchTargetUuid’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_get_sketch_target_uuid']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_get_sketch_target_uuid'>, 'config': {'title': 'path_get_sketch_target_uuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_get_sketch_target_uuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_get_sketch_target_uuid'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_get_sketch_target_uuid:94901932186320', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid'>, 'config': {'title': 'PathGetSketchTargetUuid'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid'>>]}, 'ref': 'kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid:94901931569072', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'target_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'PathGetSketchTargetUuid', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_get_sketch_target_uuid', 'schema': {'expected': ['path_get_sketch_target_uuid'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_get_sketch_target_uuid', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f4dad0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013eb6fb0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "target_id": SerField {                                                     key_py: Py(                                                         0x00007f5fbca29700,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathGetSketchTargetUuid",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cb6e0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_get_sketch_target_uuid",                                             },                                             expected_py: None,                                             name: "literal['path_get_sketch_target_uuid']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_get_sketch_target_uuid",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_get_sketch_target_uuid", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91c75d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91c7600,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "target_id",                                                 lookup_key: Simple {                                                     key: "target_id",                                                     py_key: Py(                                                         0x00007f5fa91c1ef0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "target_id",                                                                 Py(                                                                     0x00007f5fa91c1db0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca29700,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathGetSketchTargetUuid",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013eb6fb0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathGetSketchTargetUuid",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91c7630,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91c7660,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cb6e0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_get_sketch_target_uuid": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cb6e0,                                                 ),                                             ],                                         },                                         expected_repr: "'path_get_sketch_target_uuid'",                                         name: "literal['path_get_sketch_target_uuid']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_get_sketch_target_uuid']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_get_sketch_target_uuid",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f4dad0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_get_sketch_target_uuid",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_get_sketch_target_uuid.PathGetSketchTargetUuid, type: Literal['path_get_sketch_target_uuid'] = 'path_get_sketch_target_uuid') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathGetSketchTargetUuid

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathGetSketchTargetUuid, required=True), 'type': FieldInfo(annotation=Literal['path_get_sketch_target_uuid'], required=False, default='path_get_sketch_target_uuid')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_get_sketch_target_uuid']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_get_vertex_uuids(**data)

The response to the ‘PathGetVertexUuids’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_get_vertex_uuids.PathGetVertexUuids'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_get_vertex_uuids']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_get_vertex_uuids'>, 'config': {'title': 'path_get_vertex_uuids'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_get_vertex_uuids'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_get_vertex_uuids'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_get_vertex_uuids:94901932170752', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_get_vertex_uuids.PathGetVertexUuids'>, 'config': {'title': 'PathGetVertexUuids'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_get_vertex_uuids.PathGetVertexUuids'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_get_vertex_uuids.PathGetVertexUuids'>>]}, 'ref': 'kittycad.models.path_get_vertex_uuids.PathGetVertexUuids:94901931326176', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'vertex_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'PathGetVertexUuids', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_get_vertex_uuids', 'schema': {'expected': ['path_get_vertex_uuids'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_get_vertex_uuids', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f49e00,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1bf130,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_get_vertex_uuids",                                             },                                             expected_py: None,                                             name: "literal['path_get_vertex_uuids']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e7bae0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "vertex_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa95e7c70,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathGetVertexUuids",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_get_vertex_uuids",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_get_vertex_uuids", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91c5e60,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91c5e90,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "vertex_ids",                                                 lookup_key: Simple {                                                     key: "vertex_ids",                                                     py_key: Py(                                                         0x00007f5fa91b5530,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "vertex_ids",                                                                 Py(                                                                     0x00007f5fa91b7570,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa95e7c70,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathGetVertexUuids",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e7bae0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathGetVertexUuids",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91c5ec0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91c5ef0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1bf130,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_get_vertex_uuids": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1bf130,                                                 ),                                             ],                                         },                                         expected_repr: "'path_get_vertex_uuids'",                                         name: "literal['path_get_vertex_uuids']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_get_vertex_uuids']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_get_vertex_uuids",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f49e00,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_get_vertex_uuids",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_get_vertex_uuids.PathGetVertexUuids, type: Literal['path_get_vertex_uuids'] = 'path_get_vertex_uuids') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathGetVertexUuids

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathGetVertexUuids, required=True), 'type': FieldInfo(annotation=Literal['path_get_vertex_uuids'], required=False, default='path_get_vertex_uuids')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_get_vertex_uuids']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.path_segment_info(**data)

The response to the ‘PathSegmentInfo’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.path_segment_info.PathSegmentInfo'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['path_segment_info']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.path_segment_info'>, 'config': {'title': 'path_segment_info'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.path_segment_info'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.path_segment_info'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.path_segment_info:94901932111920', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.path_segment_info.PathSegmentInfo'>, 'config': {'title': 'PathSegmentInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment_info.PathSegmentInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment_info.PathSegmentInfo'>>]}, 'ref': 'kittycad.models.path_segment_info.PathSegmentInfo:94901931581728', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'command': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'PathCommand'>, 'members': [PathCommand.MOVE_TO, PathCommand.LINE_TO, PathCommand.BEZ_CURVE_TO, PathCommand.NURBS_CURVE_TO, PathCommand.ADD_ARC], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.path_command.PathCommand:94901931579168', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'command_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'function': {'function': <class 'kittycad.models.modeling_cmd_id.ModelingCmdId'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'relative': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}}, 'model_name': 'PathSegmentInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'path_segment_info', 'schema': {'expected': ['path_segment_info'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'path_segment_info', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f3b830,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1bf3b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "path_segment_info",                                             },                                             expected_py: None,                                             name: "literal['path_segment_info']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013eba120,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "command": SerField {                                                     key_py: Py(                                                         0x00007f5fbca37f80,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x0000565013eb9720,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "command_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa916e870,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "relative": SerField {                                                     key_py: Py(                                                         0x00007f5fad91d2b0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Bool(                                                             BoolSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 3,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PathSegmentInfo",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "path_segment_info",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="path_segment_info", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91ba1c0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91ba1f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "command",                                                 lookup_key: Simple {                                                     key: "command",                                                     py_key: Py(                                                         0x00007f5fa91ba160,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "command",                                                                 Py(                                                                     0x00007f5fa91ba190,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca37f80,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x0000565013eb9720,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "bez_curve_to": 2,                                                                     "nurbs_curve_to": 3,                                                                     "add_arc": 4,                                                                     "move_to": 0,                                                                     "line_to": 1,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa942b770,                                                                 ),                                                                 Py(                                                                     0x00007f5fa942b830,                                                                 ),                                                                 Py(                                                                     0x00007f5fa942b890,                                                                 ),                                                                 Py(                                                                     0x00007f5fa942b950,                                                                 ),                                                                 Py(                                                                     0x00007f5fa942b9b0,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'move_to', 'line_to', 'bez_curve_to', 'nurbs_curve_to' or 'add_arc'",                                                         strict: false,                                                         class_repr: "PathCommand",                                                         name: "str-enum[PathCommand]",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "command_id",                                                 lookup_key: Simple {                                                     key: "command_id",                                                     py_key: Py(                                                         0x00007f5fa91b6af0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "command_id",                                                                 Py(                                                                     0x00007f5fa91b6ab0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa916e870,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: FunctionAfter(                                                                     FunctionAfterValidator {                                                                         validator: Str(                                                                             StrValidator {                                                                                 strict: false,                                                                                 coerce_numbers_to_str: false,                                                                             },                                                                         ),                                                                         func: Py(                                                                             0x0000565013956d90,                                                                         ),                                                                         config: Py(                                                                             0x00007f5fa91b6700,                                                                         ),                                                                         name: "function-after[ModelingCmdId(), str]",                                                                         field_name: None,                                                                         info_arg: false,                                                                     },                                                                 ),                                                                 name: "nullable[function-after[ModelingCmdId(), str]]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[function-after[ModelingCmdId(), str]]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "relative",                                                 lookup_key: Simple {                                                     key: "relative",                                                     py_key: Py(                                                         0x00007f5fa91b6b70,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "relative",                                                                 Py(                                                                     0x00007f5fa91b6b30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fad91d2b0,                                                 ),                                                 validator: Bool(                                                     BoolValidator {                                                         strict: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PathSegmentInfo",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013eba120,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PathSegmentInfo",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91ba220,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91ba250,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1bf3b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "path_segment_info": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1bf3b0,                                                 ),                                             ],                                         },                                         expected_repr: "'path_segment_info'",                                         name: "literal['path_segment_info']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['path_segment_info']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "path_segment_info",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f3b830,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "path_segment_info",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.path_segment_info.PathSegmentInfo, type: Literal['path_segment_info'] = 'path_segment_info') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PathSegmentInfo

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PathSegmentInfo, required=True), 'type': FieldInfo(annotation=Literal['path_segment_info'], required=False, default='path_segment_info')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['path_segment_info']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.plane_intersect_and_project(**data)

The response to the ‘PlaneIntersectAndProject’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['plane_intersect_and_project']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.plane_intersect_and_project'>, 'config': {'title': 'plane_intersect_and_project'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.plane_intersect_and_project'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.plane_intersect_and_project'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.plane_intersect_and_project:94901932305488', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject'>, 'config': {'title': 'PlaneIntersectAndProject'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject'>>]}, 'ref': 'kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject:94901931345136', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'plane_coordinates': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'kittycad.models.point2d.Point2d'>, 'config': {'title': 'Point2d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point2d.Point2d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point2d.Point2d'>>]}, 'ref': 'kittycad.models.point2d.Point2d:94901926744080', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.length_unit.LengthUnit'>, 'type': 'no-info'}, 'schema': {'type': 'float'}, 'type': 'function-after'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.length_unit.LengthUnit'>, 'type': 'no-info'}, 'schema': {'type': 'float'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'Point2d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'PlaneIntersectAndProject', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'plane_intersect_and_project', 'schema': {'expected': ['plane_intersect_and_project'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'plane_intersect_and_project', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f6ac50,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e804f0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "plane_coordinates": SerField {                                                     key_py: Py(                                                         0x00007f5fa910b8f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Model(                                                                             ModelSerializer {                                                                                 class: Py(                                                                                     0x0000565013a1d010,                                                                                 ),                                                                                 serializer: Fields(                                                                                     GeneralFieldsSerializer {                                                                                         fields: {                                                                                             "x": SerField {                                                                                                 key_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 alias: None,                                                                                                 alias_py: None,                                                                                                 serializer: Some(                                                                                                     Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 ),                                                                                                 required: true,                                                                                             },                                                                                             "y": SerField {                                                                                                 key_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 alias: None,                                                                                                 alias_py: None,                                                                                                 serializer: Some(                                                                                                     Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 ),                                                                                                 required: true,                                                                                             },                                                                                         },                                                                                         computed_fields: Some(                                                                                             ComputedFields(                                                                                                 [],                                                                                             ),                                                                                         ),                                                                                         mode: SimpleDict,                                                                                         extra_serializer: None,                                                                                         filter: SchemaFilter {                                                                                             include: None,                                                                                             exclude: None,                                                                                         },                                                                                         required_fields: 2,                                                                                     },                                                                                 ),                                                                                 has_extra: false,                                                                                 root_model: false,                                                                                 name: "Point2d",                                                                             },                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "PlaneIntersectAndProject",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cb820,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "plane_intersect_and_project",                                             },                                             expected_py: None,                                             name: "literal['plane_intersect_and_project']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "plane_intersect_and_project",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="plane_intersect_and_project", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91df7b0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91df7e0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "plane_coordinates",                                                 lookup_key: Simple {                                                     key: "plane_coordinates",                                                     py_key: Py(                                                         0x00007f5fa91d7d70,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "plane_coordinates",                                                                 Py(                                                                     0x00007f5fa91d7d30,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa910b8f0,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Model(                                                                     ModelValidator {                                                                         revalidate: Never,                                                                         validator: ModelFields(                                                                             ModelFieldsValidator {                                                                                 fields: [                                                                                     Field {                                                                                         name: "x",                                                                                         lookup_key: Simple {                                                                                             key: "x",                                                                                             py_key: Py(                                                                                                 0x00007f5fbca3e7c8,                                                                                             ),                                                                                             path: LookupPath(                                                                                                 [                                                                                                     S(                                                                                                         "x",                                                                                                         Py(                                                                                                             0x00007f5fbca3e7c8,                                                                                                         ),                                                                                                     ),                                                                                                 ],                                                                                             ),                                                                                         },                                                                                         name_py: Py(                                                                                             0x00007f5fbca3d0b8,                                                                                         ),                                                                                         validator: FunctionAfter(                                                                                             FunctionAfterValidator {                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 func: Py(                                                                                                     0x00005650138c30e0,                                                                                                 ),                                                                                                 config: Py(                                                                                                     0x00007f5fa91d7bc0,                                                                                                 ),                                                                                                 name: "function-after[LengthUnit(), float]",                                                                                                 field_name: None,                                                                                                 info_arg: false,                                                                                             },                                                                                         ),                                                                                         frozen: false,                                                                                     },                                                                                     Field {                                                                                         name: "y",                                                                                         lookup_key: Simple {                                                                                             key: "y",                                                                                             py_key: Py(                                                                                                 0x00007f5fbca3e7f8,                                                                                             ),                                                                                             path: LookupPath(                                                                                                 [                                                                                                     S(                                                                                                         "y",                                                                                                         Py(                                                                                                             0x00007f5fbca3e7f8,                                                                                                         ),                                                                                                     ),                                                                                                 ],                                                                                             ),                                                                                         },                                                                                         name_py: Py(                                                                                             0x00007f5fbca3e7f8,                                                                                         ),                                                                                         validator: FunctionAfter(                                                                                             FunctionAfterValidator {                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 func: Py(                                                                                                     0x00005650138c30e0,                                                                                                 ),                                                                                                 config: Py(                                                                                                     0x00007f5fa91d7bc0,                                                                                                 ),                                                                                                 name: "function-after[LengthUnit(), float]",                                                                                                 field_name: None,                                                                                                 info_arg: false,                                                                                             },                                                                                         ),                                                                                         frozen: false,                                                                                     },                                                                                 ],                                                                                 model_name: "Point2d",                                                                                 extra_behavior: Ignore,                                                                                 extras_validator: None,                                                                                 strict: false,                                                                                 from_attributes: false,                                                                                 loc_by_alias: true,                                                                             },                                                                         ),                                                                         class: Py(                                                                             0x0000565013a1d010,                                                                         ),                                                                         post_init: None,                                                                         frozen: false,                                                                         custom_init: false,                                                                         root_model: false,                                                                         undefined: Py(                                                                             0x00007f5fabd31e70,                                                                         ),                                                                         name: "Point2d",                                                                     },                                                                 ),                                                                 name: "nullable[Point2d]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[Point2d]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "PlaneIntersectAndProject",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e804f0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "PlaneIntersectAndProject",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91df810,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91df840,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cb820,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "plane_intersect_and_project": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cb820,                                                 ),                                             ],                                         },                                         expected_repr: "'plane_intersect_and_project'",                                         name: "literal['plane_intersect_and_project']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['plane_intersect_and_project']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "plane_intersect_and_project",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f6ac50,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "plane_intersect_and_project",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.plane_intersect_and_project.PlaneIntersectAndProject, type: Literal['plane_intersect_and_project'] = 'plane_intersect_and_project') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: PlaneIntersectAndProject

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=PlaneIntersectAndProject, required=True), 'type': FieldInfo(annotation=Literal['plane_intersect_and_project'], required=False, default='plane_intersect_and_project')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['plane_intersect_and_project']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.select_get(**data)

The response to the ‘SelectGet’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.select_get.SelectGet'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['select_get']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.select_get'>, 'config': {'title': 'select_get'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.select_get'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.select_get'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.select_get:94901931928224', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.select_get.SelectGet'>, 'config': {'title': 'SelectGet'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.select_get.SelectGet'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.select_get.SelectGet'>>]}, 'ref': 'kittycad.models.select_get.SelectGet:94901931341040', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_ids': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'SelectGet', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'select_get', 'schema': {'expected': ['select_get'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'select_get', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f0eaa0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa22dd30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "select_get",                                             },                                             expected_py: None,                                             name: "literal['select_get']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e7f4f0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_ids": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639370,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "SelectGet",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "select_get",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="select_get", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917bae0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917bb10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_ids",                                                 lookup_key: Simple {                                                     key: "entity_ids",                                                     py_key: Py(                                                         0x00007f5fa925b430,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_ids",                                                                 Py(                                                                     0x00007f5fa925a170,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639370,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "SelectGet",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e7f4f0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "SelectGet",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917bb40,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917bb70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa22dd30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "select_get": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa22dd30,                                                 ),                                             ],                                         },                                         expected_repr: "'select_get'",                                         name: "literal['select_get']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['select_get']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "select_get",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f0eaa0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "select_get",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.select_get.SelectGet, type: Literal['select_get'] = 'select_get') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: SelectGet

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=SelectGet, required=True), 'type': FieldInfo(annotation=Literal['select_get'], required=False, default='select_get')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['select_get']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.select_with_point(**data)

The response to the ‘SelectWithPoint’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.select_with_point.SelectWithPoint'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['select_with_point']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.select_with_point'>, 'config': {'title': 'select_with_point'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.select_with_point'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.select_with_point'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.select_with_point:94901931818864', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.select_with_point.SelectWithPoint'>, 'config': {'title': 'SelectWithPoint'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.select_with_point.SelectWithPoint'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.select_with_point.SelectWithPoint'>>]}, 'ref': 'kittycad.models.select_with_point.SelectWithPoint:94901930118880', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'SelectWithPoint', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'select_with_point', 'schema': {'expected': ['select_with_point'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'select_with_point', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ef3f70,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013d54ee0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "entity_id": SerField {                                                     key_py: Py(                                                         0x00007f5fa9639930,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "SelectWithPoint",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa22dc30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "select_with_point",                                             },                                             expected_py: None,                                             name: "literal['select_with_point']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "select_with_point",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="select_with_point", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa92893e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9288150,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "entity_id",                                                 lookup_key: Simple {                                                     key: "entity_id",                                                     py_key: Py(                                                         0x00007f5fa91135f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "entity_id",                                                                 Py(                                                                     0x00007f5fa9248730,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fa9639930,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "SelectWithPoint",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013d54ee0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "SelectWithPoint",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9289410,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa92893b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa22dc30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "select_with_point": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa22dc30,                                                 ),                                             ],                                         },                                         expected_repr: "'select_with_point'",                                         name: "literal['select_with_point']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['select_with_point']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "select_with_point",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ef3f70,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "select_with_point",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.select_with_point.SelectWithPoint, type: Literal['select_with_point'] = 'select_with_point') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: SelectWithPoint

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=SelectWithPoint, required=True), 'type': FieldInfo(annotation=Literal['select_with_point'], required=False, default='select_with_point')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['select_with_point']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_all_edge_faces(**data)

The response to the ‘Solid3dGetAllEdgeFaces’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_all_edge_faces']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_edge_faces'>, 'config': {'title': 'solid3d_get_all_edge_faces'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_edge_faces'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_edge_faces'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_edge_faces:94901931946048', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces'>, 'config': {'title': 'Solid3dGetAllEdgeFaces'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces'>>]}, 'ref': 'kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces:94901925015456', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'faces': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetAllEdgeFaces', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_all_edge_faces', 'schema': {'expected': ['solid3d_get_all_edge_faces'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_all_edge_faces', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f13040,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013876fa0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "faces": SerField {                                                     key_py: Py(                                                         0x00007f5faa290390,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetAllEdgeFaces",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cba00,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_all_edge_faces",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_all_edge_faces']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_all_edge_faces",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_all_edge_faces", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa919c840,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa919c870,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "faces",                                                 lookup_key: Simple {                                                     key: "faces",                                                     py_key: Py(                                                         0x00007f5fa9178f60,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "faces",                                                                 Py(                                                                     0x00007f5fa919c810,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa290390,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetAllEdgeFaces",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013876fa0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetAllEdgeFaces",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa919c8a0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa919c8d0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cba00,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_all_edge_faces": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cba00,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_all_edge_faces'",                                         name: "literal['solid3d_get_all_edge_faces']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_all_edge_faces']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_all_edge_faces",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f13040,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_all_edge_faces",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_all_edge_faces.Solid3dGetAllEdgeFaces, type: Literal['solid3d_get_all_edge_faces'] = 'solid3d_get_all_edge_faces') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetAllEdgeFaces

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetAllEdgeFaces, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_all_edge_faces'], required=False, default='solid3d_get_all_edge_faces')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_all_edge_faces']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_all_opposite_edges(**data)

The response to the ‘Solid3dGetAllOppositeEdges’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_all_opposite_edges']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_opposite_edges'>, 'config': {'title': 'solid3d_get_all_opposite_edges'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_opposite_edges'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_opposite_edges'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_all_opposite_edges:94901931947824', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges'>, 'config': {'title': 'Solid3dGetAllOppositeEdges'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges'>>]}, 'ref': 'kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges:94901930128000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'edges': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetAllOppositeEdges', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_all_opposite_edges', 'schema': {'expected': ['solid3d_get_all_opposite_edges'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_all_opposite_edges', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f13730,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cba50,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_all_opposite_edges",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_all_opposite_edges']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013d57280,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "edges": SerField {                                                     key_py: Py(                                                         0x00007f5fbca29640,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Str(                                                                     StrSerializer,                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[str]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetAllOppositeEdges",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_all_opposite_edges",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_all_opposite_edges", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa919dd40,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa919dd70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "edges",                                                 lookup_key: Simple {                                                     key: "edges",                                                     py_key: Py(                                                         0x00007f5fa919dce0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "edges",                                                                 Py(                                                                     0x00007f5fa919dd10,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca29640,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Str(                                                                 StrValidator {                                                                     strict: false,                                                                     coerce_numbers_to_str: false,                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetAllOppositeEdges",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013d57280,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetAllOppositeEdges",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa919dda0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa919ddd0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cba50,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_all_opposite_edges": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cba50,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_all_opposite_edges'",                                         name: "literal['solid3d_get_all_opposite_edges']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_all_opposite_edges']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_all_opposite_edges",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f13730,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_all_opposite_edges",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_all_opposite_edges.Solid3dGetAllOppositeEdges, type: Literal['solid3d_get_all_opposite_edges'] = 'solid3d_get_all_opposite_edges') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetAllOppositeEdges

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetAllOppositeEdges, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_all_opposite_edges'], required=False, default='solid3d_get_all_opposite_edges')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_all_opposite_edges']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_extrusion_face_info(**data)

The response to the ‘Solid3dGetExtrusionFaceInfo’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_extrusion_face_info']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_extrusion_face_info'>, 'config': {'title': 'solid3d_get_extrusion_face_info'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_extrusion_face_info'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_extrusion_face_info'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_extrusion_face_info:94901932544736', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo'>, 'config': {'title': 'Solid3dGetExtrusionFaceInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo'>>]}, 'ref': 'kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo:94901931366064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'faces': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>, 'config': {'title': 'ExtrusionFaceInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo'>>]}, 'ref': 'kittycad.models.extrusion_face_info.ExtrusionFaceInfo:94901925591968', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'cap': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ExtrusionFaceCapType'>, 'members': [ExtrusionFaceCapType.NONE, ExtrusionFaceCapType.TOP, ExtrusionFaceCapType.BOTTOM], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.extrusion_face_cap_type.ExtrusionFaceCapType:94901925587808', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'curve_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'face_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'ExtrusionFaceInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetExtrusionFaceInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_extrusion_face_info', 'schema': {'expected': ['solid3d_get_extrusion_face_info'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_extrusion_face_info', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_circular_pattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_distance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_linear_pattern_transform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_sketch_mode_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013fa52e0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cbaf0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_extrusion_face_info",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_extrusion_face_info']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e856b0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "faces": SerField {                                                     key_py: Py(                                                         0x00007f5faa290390,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         List(                                                             ListSerializer {                                                                 item_serializer: Model(                                                                     ModelSerializer {                                                                         class: Py(                                                                             0x0000565013903ba0,                                                                         ),                                                                         serializer: Fields(                                                                             GeneralFieldsSerializer {                                                                                 fields: {                                                                                     "face_id": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fa98ba7f0,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             WithDefault(                                                                                                 WithDefaultSerializer {                                                                                                     default: Default(                                                                                                         Py(                                                                                                             0x00007f5fbc947100,                                                                                                         ),                                                                                                     ),                                                                                                     serializer: Nullable(                                                                                                         NullableSerializer {                                                                                                             serializer: Str(                                                                                                                 StrSerializer,                                                                                                             ),                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "cap": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fb7b3d230,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             Enum(                                                                                                 EnumSerializer {                                                                                                     class: Py(                                                                                                         0x0000565013902b60,                                                                                                     ),                                                                                                     serializer: Some(                                                                                                         Str(                                                                                                             StrSerializer,                                                                                                         ),                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                     "curve_id": SerField {                                                                                         key_py: Py(                                                                                             0x00007f5fa9684230,                                                                                         ),                                                                                         alias: None,                                                                                         alias_py: None,                                                                                         serializer: Some(                                                                                             WithDefault(                                                                                                 WithDefaultSerializer {                                                                                                     default: Default(                                                                                                         Py(                                                                                                             0x00007f5fbc947100,                                                                                                         ),                                                                                                     ),                                                                                                     serializer: Nullable(                                                                                                         NullableSerializer {                                                                                                             serializer: Str(                                                                                                                 StrSerializer,                                                                                                             ),                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         ),                                                                                         required: true,                                                                                     },                                                                                 },                                                                                 computed_fields: Some(                                                                                     ComputedFields(                                                                                         [],                                                                                     ),                                                                                 ),                                                                                 mode: SimpleDict,                                                                                 extra_serializer: None,                                                                                 filter: SchemaFilter {                                                                                     include: None,                                                                                     exclude: None,                                                                                 },                                                                                 required_fields: 3,                                                                             },                                                                         ),                                                                         has_extra: false,                                                                         root_model: false,                                                                         name: "ExtrusionFaceInfo",                                                                     },                                                                 ),                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 name: "list[ExtrusionFaceInfo]",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetExtrusionFaceInfo",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_extrusion_face_info",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_extrusion_face_info", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9022fa0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9022fd0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "faces",                                                 lookup_key: Simple {                                                     key: "faces",                                                     py_key: Py(                                                         0x00007f5fa9022f40,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "faces",                                                                 Py(                                                                     0x00007f5fa9022f70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa290390,                                                 ),                                                 validator: List(                                                     ListValidator {                                                         strict: false,                                                         item_validator: Some(                                                             Model(                                                                 ModelValidator {                                                                     revalidate: Never,                                                                     validator: ModelFields(                                                                         ModelFieldsValidator {                                                                             fields: [                                                                                 Field {                                                                                     name: "cap",                                                                                     lookup_key: Simple {                                                                                         key: "cap",                                                                                         py_key: Py(                                                                                             0x00007f5fa9022e80,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "cap",                                                                                                     Py(                                                                                                         0x00007f5fa9022eb0,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fb7b3d230,                                                                                     ),                                                                                     validator: StrEnum(                                                                                         EnumValidator {                                                                                             phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                                                             class: Py(                                                                                                 0x0000565013902b60,                                                                                             ),                                                                                             lookup: LiteralLookup {                                                                                                 expected_bool: None,                                                                                                 expected_int: None,                                                                                                 expected_str: Some(                                                                                                     {                                                                                                         "bottom": 2,                                                                                                         "none": 0,                                                                                                         "top": 1,                                                                                                     },                                                                                                 ),                                                                                                 expected_py_dict: None,                                                                                                 expected_py_values: None,                                                                                                 values: [                                                                                                     Py(                                                                                                         0x00007f5fa964cef0,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa964cfb0,                                                                                                     ),                                                                                                     Py(                                                                                                         0x00007f5fa964d010,                                                                                                     ),                                                                                                 ],                                                                                             },                                                                                             missing: None,                                                                                             expected_repr: "'none', 'top' or 'bottom'",                                                                                             strict: false,                                                                                             class_repr: "ExtrusionFaceCapType",                                                                                             name: "str-enum[ExtrusionFaceCapType]",                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "curve_id",                                                                                     lookup_key: Simple {                                                                                         key: "curve_id",                                                                                         py_key: Py(                                                                                             0x00007f5fa9029130,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "curve_id",                                                                                                     Py(                                                                                                         0x00007f5fa90290f0,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fa9684230,                                                                                     ),                                                                                     validator: WithDefault(                                                                                         WithDefaultValidator {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             on_error: Raise,                                                                                             validator: Nullable(                                                                                                 NullableValidator {                                                                                                     validator: Str(                                                                                                         StrValidator {                                                                                                             strict: false,                                                                                                             coerce_numbers_to_str: false,                                                                                                         },                                                                                                     ),                                                                                                     name: "nullable[str]",                                                                                                 },                                                                                             ),                                                                                             validate_default: false,                                                                                             copy_default: false,                                                                                             name: "default[nullable[str]]",                                                                                             undefined: Py(                                                                                                 0x00007f5fabd31e70,                                                                                             ),                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                                 Field {                                                                                     name: "face_id",                                                                                     lookup_key: Simple {                                                                                         key: "face_id",                                                                                         py_key: Py(                                                                                             0x00007f5fa9022ee0,                                                                                         ),                                                                                         path: LookupPath(                                                                                             [                                                                                                 S(                                                                                                     "face_id",                                                                                                     Py(                                                                                                         0x00007f5fa9022f10,                                                                                                     ),                                                                                                 ),                                                                                             ],                                                                                         ),                                                                                     },                                                                                     name_py: Py(                                                                                         0x00007f5fa98ba7f0,                                                                                     ),                                                                                     validator: WithDefault(                                                                                         WithDefaultValidator {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             on_error: Raise,                                                                                             validator: Nullable(                                                                                                 NullableValidator {                                                                                                     validator: Str(                                                                                                         StrValidator {                                                                                                             strict: false,                                                                                                             coerce_numbers_to_str: false,                                                                                                         },                                                                                                     ),                                                                                                     name: "nullable[str]",                                                                                                 },                                                                                             ),                                                                                             validate_default: false,                                                                                             copy_default: false,                                                                                             name: "default[nullable[str]]",                                                                                             undefined: Py(                                                                                                 0x00007f5fabd31e70,                                                                                             ),                                                                                         },                                                                                     ),                                                                                     frozen: false,                                                                                 },                                                                             ],                                                                             model_name: "ExtrusionFaceInfo",                                                                             extra_behavior: Ignore,                                                                             extras_validator: None,                                                                             strict: false,                                                                             from_attributes: false,                                                                             loc_by_alias: true,                                                                         },                                                                     ),                                                                     class: Py(                                                                         0x0000565013903ba0,                                                                     ),                                                                     post_init: None,                                                                     frozen: false,                                                                     custom_init: false,                                                                     root_model: false,                                                                     undefined: Py(                                                                         0x00007f5fabd31e70,                                                                     ),                                                                     name: "ExtrusionFaceInfo",                                                                 },                                                             ),                                                         ),                                                         min_length: None,                                                         max_length: None,                                                         name: OnceLock(                                                             <uninit>,                                                         ),                                                         fail_fast: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetExtrusionFaceInfo",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e856b0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetExtrusionFaceInfo",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9023000,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9023030,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cbaf0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_extrusion_face_info": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cbaf0,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_extrusion_face_info'",                                         name: "literal['solid3d_get_extrusion_face_info']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_extrusion_face_info']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_extrusion_face_info",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013fa52e0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_extrusion_face_info",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_extrusion_face_info.Solid3dGetExtrusionFaceInfo, type: Literal['solid3d_get_extrusion_face_info'] = 'solid3d_get_extrusion_face_info') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetExtrusionFaceInfo

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetExtrusionFaceInfo, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_extrusion_face_info'], required=False, default='solid3d_get_extrusion_face_info')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_extrusion_face_info']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_next_adjacent_edge(**data)

The response to the ‘Solid3dGetNextAdjacentEdge’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_next_adjacent_edge']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_next_adjacent_edge'>, 'config': {'title': 'solid3d_get_next_adjacent_edge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_next_adjacent_edge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_next_adjacent_edge'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_next_adjacent_edge:94901931978656', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge'>, 'config': {'title': 'Solid3dGetNextAdjacentEdge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge'>>]}, 'ref': 'kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge:94901931358736', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'edge': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetNextAdjacentEdge', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_next_adjacent_edge', 'schema': {'expected': ['solid3d_get_next_adjacent_edge'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_next_adjacent_edge', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f1afa0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cbb90,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_next_adjacent_edge",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_next_adjacent_edge']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e83a10,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "edge": SerField {                                                     key_py: Py(                                                         0x00007f5fbafa6d90,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetNextAdjacentEdge",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_next_adjacent_edge",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_next_adjacent_edge", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91a0870,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91a08a0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "edge",                                                 lookup_key: Simple {                                                     key: "edge",                                                     py_key: Py(                                                         0x00007f5fa91a0810,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "edge",                                                                 Py(                                                                     0x00007f5fa91a0840,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbafa6d90,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetNextAdjacentEdge",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e83a10,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetNextAdjacentEdge",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91a08d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91a0900,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cbb90,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_next_adjacent_edge": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cbb90,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_next_adjacent_edge'",                                         name: "literal['solid3d_get_next_adjacent_edge']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_next_adjacent_edge']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_next_adjacent_edge",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f1afa0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_next_adjacent_edge",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_next_adjacent_edge.Solid3dGetNextAdjacentEdge, type: Literal['solid3d_get_next_adjacent_edge'] = 'solid3d_get_next_adjacent_edge') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetNextAdjacentEdge

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetNextAdjacentEdge, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_next_adjacent_edge'], required=False, default='solid3d_get_next_adjacent_edge')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_next_adjacent_edge']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_opposite_edge(**data)

The response to the ‘Solid3dGetOppositeEdge’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_opposite_edge']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_opposite_edge'>, 'config': {'title': 'solid3d_get_opposite_edge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_opposite_edge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_opposite_edge'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_opposite_edge:94901931963008', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge'>, 'config': {'title': 'Solid3dGetOppositeEdge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge'>>]}, 'ref': 'kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge:94901931409104', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'edge': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetOppositeEdge', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_opposite_edge', 'schema': {'expected': ['solid3d_get_opposite_edge'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_opposite_edge', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f17280,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e8fed0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "edge": SerField {                                                     key_py: Py(                                                         0x00007f5fbafa6d90,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Str(                                                             StrSerializer,                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetOppositeEdge",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cbc30,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_opposite_edge",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_opposite_edge']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_opposite_edge",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_opposite_edge", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa919f2a0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa919f2d0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "edge",                                                 lookup_key: Simple {                                                     key: "edge",                                                     py_key: Py(                                                         0x00007f5fa919f240,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "edge",                                                                 Py(                                                                     0x00007f5fa919f270,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbafa6d90,                                                 ),                                                 validator: Str(                                                     StrValidator {                                                         strict: false,                                                         coerce_numbers_to_str: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetOppositeEdge",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e8fed0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetOppositeEdge",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa919f300,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa919f330,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cbc30,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_opposite_edge": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cbc30,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_opposite_edge'",                                         name: "literal['solid3d_get_opposite_edge']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_opposite_edge']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_opposite_edge",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f17280,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_opposite_edge",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_opposite_edge.Solid3dGetOppositeEdge, type: Literal['solid3d_get_opposite_edge'] = 'solid3d_get_opposite_edge') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetOppositeEdge

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetOppositeEdge, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_opposite_edge'], required=False, default='solid3d_get_opposite_edge')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_opposite_edge']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.solid3d_get_prev_adjacent_edge(**data)

The response to the ‘Solid3dGetPrevAdjacentEdge’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['solid3d_get_prev_adjacent_edge']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_prev_adjacent_edge'>, 'config': {'title': 'solid3d_get_prev_adjacent_edge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_prev_adjacent_edge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.solid3d_get_prev_adjacent_edge'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.solid3d_get_prev_adjacent_edge:94901931994368', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge'>, 'config': {'title': 'Solid3dGetPrevAdjacentEdge'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge'>>]}, 'ref': 'kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge:94901931413072', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'edge': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Solid3dGetPrevAdjacentEdge', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'solid3d_get_prev_adjacent_edge', 'schema': {'expected': ['solid3d_get_prev_adjacent_edge'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'solid3d_get_prev_adjacent_edge', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f1ed00,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e90e50,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "edge": SerField {                                                     key_py: Py(                                                         0x00007f5fbafa6d90,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         WithDefault(                                                             WithDefaultSerializer {                                                                 default: Default(                                                                     Py(                                                                         0x00007f5fbc947100,                                                                     ),                                                                 ),                                                                 serializer: Nullable(                                                                     NullableSerializer {                                                                         serializer: Str(                                                                             StrSerializer,                                                                         ),                                                                     },                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Solid3dGetPrevAdjacentEdge",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1cbc80,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "solid3d_get_prev_adjacent_edge",                                             },                                             expected_py: None,                                             name: "literal['solid3d_get_prev_adjacent_edge']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "solid3d_get_prev_adjacent_edge",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="solid3d_get_prev_adjacent_edge", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91a13b0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91a13e0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "edge",                                                 lookup_key: Simple {                                                     key: "edge",                                                     py_key: Py(                                                         0x00007f5fa91a1350,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "edge",                                                                 Py(                                                                     0x00007f5fa91a1380,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbafa6d90,                                                 ),                                                 validator: WithDefault(                                                     WithDefaultValidator {                                                         default: Default(                                                             Py(                                                                 0x00007f5fbc947100,                                                             ),                                                         ),                                                         on_error: Raise,                                                         validator: Nullable(                                                             NullableValidator {                                                                 validator: Str(                                                                     StrValidator {                                                                         strict: false,                                                                         coerce_numbers_to_str: false,                                                                     },                                                                 ),                                                                 name: "nullable[str]",                                                             },                                                         ),                                                         validate_default: false,                                                         copy_default: false,                                                         name: "default[nullable[str]]",                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Solid3dGetPrevAdjacentEdge",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e90e50,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Solid3dGetPrevAdjacentEdge",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91a1410,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91a1440,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1cbc80,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "solid3d_get_prev_adjacent_edge": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1cbc80,                                                 ),                                             ],                                         },                                         expected_repr: "'solid3d_get_prev_adjacent_edge'",                                         name: "literal['solid3d_get_prev_adjacent_edge']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['solid3d_get_prev_adjacent_edge']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "solid3d_get_prev_adjacent_edge",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f1ed00,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "solid3d_get_prev_adjacent_edge",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.solid3d_get_prev_adjacent_edge.Solid3dGetPrevAdjacentEdge, type: Literal['solid3d_get_prev_adjacent_edge'] = 'solid3d_get_prev_adjacent_edge') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Solid3dGetPrevAdjacentEdge

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Solid3dGetPrevAdjacentEdge, required=True), 'type': FieldInfo(annotation=Literal['solid3d_get_prev_adjacent_edge'], required=False, default='solid3d_get_prev_adjacent_edge')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['solid3d_get_prev_adjacent_edge']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.surface_area(**data)

The response to the ‘SurfaceArea’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.surface_area.SurfaceArea'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['surface_area']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.surface_area'>, 'config': {'title': 'surface_area'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.surface_area'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.surface_area'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.surface_area:94901932415760', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.surface_area.SurfaceArea'>, 'config': {'title': 'SurfaceArea'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.surface_area.SurfaceArea'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.surface_area.SurfaceArea'>>]}, 'ref': 'kittycad.models.surface_area.SurfaceArea:94901931372912', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitArea'>, 'members': [UnitArea.CM2, UnitArea.DM2, UnitArea.FT2, UnitArea.IN2, UnitArea.KM2, UnitArea.M2, UnitArea.MM2, UnitArea.YD2], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_area.UnitArea:94901916337008', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'surface_area': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'SurfaceArea', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'surface_area', 'schema': {'expected': ['surface_area'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'surface_area', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f85b10,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e87170,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "output_unit": SerField {                                                     key_py: Py(                                                         0x00007f5faa0e8ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x0000565013030370,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "surface_area": SerField {                                                     key_py: Py(                                                         0x00007f5faa22c2f0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "SurfaceArea",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa22c2f0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "surface_area",                                             },                                             expected_py: None,                                             name: "literal['surface_area']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "surface_area",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="surface_area", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa9000300,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa9000330,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "output_unit",                                                 lookup_key: Simple {                                                     key: "output_unit",                                                     py_key: Py(                                                         0x00007f5fa91fd230,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "output_unit",                                                                 Py(                                                                     0x00007f5fa91fcff0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa0e8ff0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x0000565013030370,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "km2": 4,                                                                     "in2": 3,                                                                     "mm2": 6,                                                                     "yd2": 7,                                                                     "ft2": 2,                                                                     "dm2": 1,                                                                     "cm2": 0,                                                                     "m2": 5,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa98d4530,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4590,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d45f0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4650,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d46b0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4710,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4770,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d47d0,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'cm2', 'dm2', 'ft2', 'in2', 'km2', 'm2', 'mm2' or 'yd2'",                                                         strict: false,                                                         class_repr: "UnitArea",                                                         name: "str-enum[UnitArea]",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "surface_area",                                                 lookup_key: Simple {                                                     key: "surface_area",                                                     py_key: Py(                                                         0x00007f5fa91fd2b0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "surface_area",                                                                 Py(                                                                     0x00007f5fa91fd270,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa22c2f0,                                                 ),                                                 validator: Float(                                                     FloatValidator {                                                         strict: false,                                                         allow_inf_nan: true,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "SurfaceArea",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e87170,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "SurfaceArea",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa9000360,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa9000390,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa22c2f0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "surface_area": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa22c2f0,                                                 ),                                             ],                                         },                                         expected_repr: "'surface_area'",                                         name: "literal['surface_area']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['surface_area']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "surface_area",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f85b10,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "surface_area",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.surface_area.SurfaceArea, type: Literal['surface_area'] = 'surface_area') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: SurfaceArea

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=SurfaceArea, required=True), 'type': FieldInfo(annotation=Literal['surface_area'], required=False, default='surface_area')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['surface_area']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.take_snapshot(**data)

The response to the ‘TakeSnapshot’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.take_snapshot.TakeSnapshot'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['take_snapshot']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.take_snapshot'>, 'config': {'title': 'take_snapshot'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.take_snapshot'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.take_snapshot'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.take_snapshot:94901932079616', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.take_snapshot.TakeSnapshot'>, 'config': {'title': 'TakeSnapshot'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.take_snapshot.TakeSnapshot'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.take_snapshot.TakeSnapshot'>>]}, 'ref': 'kittycad.models.take_snapshot.TakeSnapshot:94901931405824', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'contents': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.base64data.Base64Data'>, 'type': 'no-info'}, 'schema': {'type': 'bytes'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'TakeSnapshot', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'take_snapshot', 'schema': {'expected': ['take_snapshot'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'take_snapshot', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f33a00,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa22c830,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "take_snapshot",                                             },                                             expected_py: None,                                             name: "literal['take_snapshot']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013e8f200,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "contents": SerField {                                                     key_py: Py(                                                         0x00007f5fbc9f4a80,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Bytes(                                                             BytesSerializer {                                                                 bytes_mode: Utf8,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "TakeSnapshot",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "take_snapshot",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="take_snapshot", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91afa50,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91afa80,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "contents",                                                 lookup_key: Simple {                                                     key: "contents",                                                     py_key: Py(                                                         0x00007f5fa91b4670,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "contents",                                                                 Py(                                                                     0x00007f5fa91b4630,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbc9f4a80,                                                 ),                                                 validator: FunctionAfter(                                                     FunctionAfterValidator {                                                         validator: Bytes(                                                             BytesValidator {                                                                 strict: false,                                                             },                                                         ),                                                         func: Py(                                                             0x000056501349c0d0,                                                         ),                                                         config: Py(                                                             0x00007f5fa91b4500,                                                         ),                                                         name: "function-after[Base64Data(), bytes]",                                                         field_name: None,                                                         info_arg: false,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "TakeSnapshot",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013e8f200,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "TakeSnapshot",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91afab0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91afae0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa22c830,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "take_snapshot": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa22c830,                                                 ),                                             ],                                         },                                         expected_repr: "'take_snapshot'",                                         name: "literal['take_snapshot']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['take_snapshot']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "take_snapshot",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f33a00,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "take_snapshot",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.take_snapshot.TakeSnapshot, type: Literal['take_snapshot'] = 'take_snapshot') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: TakeSnapshot

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=TakeSnapshot, required=True), 'type': FieldInfo(annotation=Literal['take_snapshot'], required=False, default='take_snapshot')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['take_snapshot']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.view_isometric(**data)

The response to the ‘ViewIsometric’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.view_isometric.ViewIsometric'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['view_isometric']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.view_isometric'>, 'config': {'title': 'view_isometric'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.view_isometric'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.view_isometric'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.view_isometric:94901931735680', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.view_isometric.ViewIsometric'>, 'config': {'title': 'ViewIsometric'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.view_isometric.ViewIsometric'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.view_isometric.ViewIsometric'>>]}, 'ref': 'kittycad.models.view_isometric.ViewIsometric:94901931758224', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'ViewIsometric', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'view_isometric', 'schema': {'expected': ['view_isometric'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'view_isometric', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013edfa80,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa1c3530,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "view_isometric",                                             },                                             expected_py: None,                                             name: "literal['view_isometric']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013ee5290,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ViewIsometric",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "view_isometric",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="view_isometric", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917ea60,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917e970,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa922e870,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa922df70,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa917ff60,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa917ff00,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa917ff30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa917ffc0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa922ce30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa922c330,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa917ebe0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa917ec10,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa922cb30,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa922c530,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa917eb20,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa917eb50,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa917eac0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa917ec70,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ViewIsometric",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013ee5290,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ViewIsometric",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917ea30,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917ea90,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa1c3530,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "view_isometric": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa1c3530,                                                 ),                                             ],                                         },                                         expected_repr: "'view_isometric'",                                         name: "literal['view_isometric']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['view_isometric']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "view_isometric",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013edfa80,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "view_isometric",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.view_isometric.ViewIsometric, type: Literal['view_isometric'] = 'view_isometric') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ViewIsometric

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ViewIsometric, required=True), 'type': FieldInfo(annotation=Literal['view_isometric'], required=False, default='view_isometric')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['view_isometric']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.volume(**data)

The response to the ‘Volume’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.volume.Volume'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['volume']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.ok_modeling_cmd_response.volume'>, 'config': {'title': 'volume'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.volume'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.volume'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.volume:94901932383840', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.volume.Volume'>, 'config': {'title': 'Volume'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.volume.Volume'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.volume.Volume'>>]}, 'ref': 'kittycad.models.volume.Volume:94901931768672', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitVolume'>, 'members': [UnitVolume.CM3, UnitVolume.FT3, UnitVolume.IN3, UnitVolume.M3, UnitVolume.YD3, UnitVolume.USFLOZ, UnitVolume.USGAL, UnitVolume.L, UnitVolume.ML], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_volume.UnitVolume:94901920970448', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'volume': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Volume', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'volume', 'schema': {'expected': ['volume'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'volume', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_center': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_gradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_get_position': <pydantic._internal._model_construction._PydanticWeakRef object>, 'face_is_planar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_num_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'import_files': <pydantic._internal._model_construction._PydanticWeakRef object>, 'imported_geometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_sketch_target_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_segment_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'view_isometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'zoom_to_fit': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013f7de60,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013ee7b60,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "output_unit": SerField {                                                     key_py: Py(                                                         0x00007f5faa0e8ff0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Enum(                                                             EnumSerializer {                                                                 class: Py(                                                                     0x000056501349b6d0,                                                                 ),                                                                 serializer: Some(                                                                     Str(                                                                         StrSerializer,                                                                     ),                                                                 ),                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "volume": SerField {                                                     key_py: Py(                                                         0x00007f5fbca3ce50,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Float(                                                             FloatSerializer {                                                                 inf_nan_mode: Null,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 2,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "Volume",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5fbca3ce50,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "volume",                                             },                                             expected_py: None,                                             name: "literal['volume']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "volume",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="volume", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa91f16e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa91f1710,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "output_unit",                                                 lookup_key: Simple {                                                     key: "output_unit",                                                     py_key: Py(                                                         0x00007f5fa91e7830,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "output_unit",                                                                 Py(                                                                     0x00007f5fa91e77f0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5faa0e8ff0,                                                 ),                                                 validator: StrEnum(                                                     EnumValidator {                                                         phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                                         class: Py(                                                             0x000056501349b6d0,                                                         ),                                                         lookup: LiteralLookup {                                                             expected_bool: None,                                                             expected_int: None,                                                             expected_str: Some(                                                                 {                                                                     "usfloz": 5,                                                                     "cm3": 0,                                                                     "yd3": 4,                                                                     "ml": 8,                                                                     "in3": 2,                                                                     "l": 7,                                                                     "usgal": 6,                                                                     "ft3": 1,                                                                     "m3": 3,                                                                 },                                                             ),                                                             expected_py_dict: None,                                                             expected_py_values: None,                                                             values: [                                                                 Py(                                                                     0x00007f5fa98d4b30,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4b90,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4bf0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4c50,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4cb0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4d10,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4d70,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4dd0,                                                                 ),                                                                 Py(                                                                     0x00007f5fa98d4e30,                                                                 ),                                                             ],                                                         },                                                         missing: None,                                                         expected_repr: "'cm3', 'ft3', 'in3', 'm3', 'yd3', 'usfloz', 'usgal', 'l' or 'ml'",                                                         strict: false,                                                         class_repr: "UnitVolume",                                                         name: "str-enum[UnitVolume]",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "volume",                                                 lookup_key: Simple {                                                     key: "volume",                                                     py_key: Py(                                                         0x00007f5fa91f1680,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "volume",                                                                 Py(                                                                     0x00007f5fa91f16b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbca3ce50,                                                 ),                                                 validator: Float(                                                     FloatValidator {                                                         strict: false,                                                         allow_inf_nan: true,                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "Volume",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013ee7b60,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "Volume",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa91f1740,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa91f1770,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5fbca3ce50,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "volume": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5fbca3ce50,                                                 ),                                             ],                                         },                                         expected_repr: "'volume'",                                         name: "literal['volume']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['volume']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "volume",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013f7de60,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "volume",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.volume.Volume, type: Literal['volume'] = 'volume') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: Volume

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=Volume, required=True), 'type': FieldInfo(annotation=Literal['volume'], required=False, default='volume')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['volume']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.ok_modeling_cmd_response.zoom_to_fit(**data)

The response to the ‘ZoomToFit’ endpoint

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'data': <class 'kittycad.models.zoom_to_fit.ZoomToFit'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['zoom_to_fit']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.ok_modeling_cmd_response'

__pretty__(fmt, **kwargs)

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94901924244832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ok_modeling_cmd_response.zoom_to_fit'>, 'config': {'title': 'zoom_to_fit'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ok_modeling_cmd_response.zoom_to_fit'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ok_modeling_cmd_response.zoom_to_fit'>>]}, 'ref': 'kittycad.models.ok_modeling_cmd_response.zoom_to_fit:94901931696880', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.zoom_to_fit.ZoomToFit'>, 'config': {'title': 'ZoomToFit'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.zoom_to_fit.ZoomToFit'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.zoom_to_fit.ZoomToFit'>>]}, 'ref': 'kittycad.models.zoom_to_fit.ZoomToFit:94901931787472', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'settings': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.camera_settings.CameraSettings'>, 'config': {'title': 'CameraSettings'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.camera_settings.CameraSettings'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.camera_settings.CameraSettings'>>]}, 'ref': 'kittycad.models.camera_settings.CameraSettings:94901924543552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'fov_y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'orientation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.point4d.Point4d'>, 'config': {'title': 'Point4d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point4d.Point4d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point4d.Point4d'>>]}, 'ref': 'kittycad.models.point4d.Point4d:94901924539648', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'w': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point4d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'ortho': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'ortho_scale': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'pos': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94901924244832', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'CameraSettings', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'ZoomToFit', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'zoom_to_fit', 'schema': {'expected': ['zoom_to_fit'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'zoom_to_fit', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}

classmethod __pydantic_init_subclass__(**kwargs)

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragEnd': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragMove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CenterOfMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ClosePath': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetControlPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetEndPoints': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CurveGetType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraFocusOn': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraGetSettings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'DefaultCameraZoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityCircularPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetAllChildUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetChildUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetDistance': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetNumChildren': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetParentId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityGetSketchPaths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPattern': <pydantic._internal._model_construction._PydanticWeakRef object>, 'EntityLinearPatternTransform': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetCenter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetGradient': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceGetPosition': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FaceIsPlanar': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetEntityType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetNumObjects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GetSketchModePlane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'HighlightSetEntity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFiles': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportedGeometry': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'MouseClick': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetCurveUuidsForVertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetSketchTargetUuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathGetVertexUuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegmentInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlaneIntersectAndProject': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectGet': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SelectWithPoint': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllEdgeFaces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetAllOppositeEdges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetExtrusionFaceInfo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetNextAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetOppositeEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Solid3dGetPrevAdjacentEdge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SurfaceArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TakeSnapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ViewIsometric': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Volume': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZoomToFit': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 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with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/ok_modeling_cmd_response.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/ok_modeling_cmd_response.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.ok_modeling_cmd_response', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_get_settings': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'empty': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_sketch_paths': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>}

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x0000565013ed62f0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f5fbca3cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f5faa2310b0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "zoom_to_fit",                                             },                                             expected_py: None,                                             name: "literal['zoom_to_fit']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "data": SerField {                         key_py: Py(                             0x00007f5fbca38240,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x0000565013eec4d0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "settings": SerField {                                                     key_py: Py(                                                         0x00007f5fbb81f330,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Model(                                                             ModelSerializer {                                                                 class: Py(                                                                     0x0000565013803c40,                                                                 ),                                                                 serializer: Fields(                                                                     GeneralFieldsSerializer {                                                                         fields: {                                                                             "pos": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbca3b3f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "fov_y": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98b81b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "orientation": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fab9e1eb0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Model(                                                                                         ModelSerializer {                                                                                             class: Py(                                                                                                 0x0000565013802d00,                                                                                             ),                                                                                             serializer: Fields(                                                                                                 GeneralFieldsSerializer {                                                                                                     fields: {                                                                                                         "x": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3d0b8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "z": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e828,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "w": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e798,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                         "y": SerField {                                                                                                             key_py: Py(                                                                                                                 0x00007f5fbca3e7f8,                                                                                                             ),                                                                                                             alias: None,                                                                                                             alias_py: None,                                                                                                             serializer: Some(                                                                                                                 Float(                                                                                                                     FloatSerializer {                                                                                                                         inf_nan_mode: Null,                                                                                                                     },                                                                                                                 ),                                                                                                             ),                                                                                                             required: true,                                                                                                         },                                                                                                     },                                                                                                     computed_fields: Some(                                                                                                         ComputedFields(                                                                                                             [],                                                                                                         ),                                                                                                     ),                                                                                                     mode: SimpleDict,                                                                                                     extra_serializer: None,                                                                                                     filter: SchemaFilter {                                                                                                         include: None,                                                                                                         exclude: None,                                                                                                     },                                                                                                     required_fields: 4,                                                                                                 },                                                                                             ),                                                                                             has_extra: false,                                                                                             root_model: false,                                                                                             name: "Point4d",                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5faa609320,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Bool(                                                                                         BoolSerializer,                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "up": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbb6f70f0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "ortho_scale": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fa98459b0,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     WithDefault(                                                                                         WithDefaultSerializer {                                                                                             default: Default(                                                                                                 Py(                                                                                                     0x00007f5fbc947100,                                                                                                 ),                                                                                             ),                                                                                             serializer: Nullable(                                                                                                 NullableSerializer {                                                                                                     serializer: Float(                                                                                                         FloatSerializer {                                                                                                             inf_nan_mode: Null,                                                                                                         },                                                                                                     ),                                                                                                 },                                                                                             ),                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                             "center": SerField {                                                                                 key_py: Py(                                                                                     0x00007f5fbbf08150,                                                                                 ),                                                                                 alias: None,                                                                                 alias_py: None,                                                                                 serializer: Some(                                                                                     Recursive(                                                                                         DefinitionRefSerializer {                                                                                             definition: "...",                                                                                             retry_with_lax_check: true,                                                                                         },                                                                                     ),                                                                                 ),                                                                                 required: true,                                                                             },                                                                         },                                                                         computed_fields: Some(                                                                             ComputedFields(                                                                                 [],                                                                             ),                                                                         ),                                                                         mode: SimpleDict,                                                                         extra_serializer: None,                                                                         filter: SchemaFilter {                                                                             include: None,                                                                             exclude: None,                                                                         },                                                                         required_fields: 7,                                                                     },                                                                 ),                                                                 has_extra: false,                                                                 root_model: false,                                                                 name: "CameraSettings",                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                             },                                             computed_fields: Some(                                                 ComputedFields(                                                     [],                                                 ),                                             ),                                             mode: SimpleDict,                                             extra_serializer: None,                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             required_fields: 1,                                         },                                     ),                                     has_extra: false,                                     root_model: false,                                     name: "ZoomToFit",                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "zoom_to_fit",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5650137bad60), serializer: Fields(GeneralFieldsSerializer { fields: {"y": SerField { key_py: Py(0x7f5fbca3e7f8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f5fbca3e828), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f5fbca3d0b8), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "Point3d" })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="zoom_to_fit", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "data",                         lookup_key: Simple {                             key: "data",                             py_key: Py(                                 0x00007f5fa917eee0,                             ),                             path: LookupPath(                                 [                                     S(                                         "data",                                         Py(                                             0x00007f5fa917ef10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca38240,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "settings",                                                 lookup_key: Simple {                                                     key: "settings",                                                     py_key: Py(                                                         0x00007f5fa91085f0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "settings",                                                                 Py(                                                                     0x00007f5fa9108630,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f5fbb81f330,                                                 ),                                                 validator: Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "center",                                                                         lookup_key: Simple {                                                                             key: "center",                                                                             py_key: Py(                                                                                 0x00007f5fa917ed00,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "center",                                                                                         Py(                                                                                             0x00007f5fa917ed30,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbbf08150,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "fov_y",                                                                         lookup_key: Simple {                                                                             key: "fov_y",                                                                             py_key: Py(                                                                                 0x00007f5fa917ed60,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "fov_y",                                                                                         Py(                                                                                             0x00007f5fa917ed90,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98b81b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "orientation",                                                                         lookup_key: Simple {                                                                             key: "orientation",                                                                             py_key: Py(                                                                                 0x00007f5fa91091f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "orientation",                                                                                         Py(                                                                                             0x00007f5fa9109430,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fab9e1eb0,                                                                         ),                                                                         validator: Model(                                                                             ModelValidator {                                                                                 revalidate: Never,                                                                                 validator: ModelFields(                                                                                     ModelFieldsValidator {                                                                                         fields: [                                                                                             Field {                                                                                                 name: "w",                                                                                                 lookup_key: Simple {                                                                                                     key: "w",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e798,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "w",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e798,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e798,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "x",                                                                                                 lookup_key: Simple {                                                                                                     key: "x",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7c8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "x",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7c8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3d0b8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "y",                                                                                                 lookup_key: Simple {                                                                                                     key: "y",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e7f8,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "y",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e7f8,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e7f8,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                             Field {                                                                                                 name: "z",                                                                                                 lookup_key: Simple {                                                                                                     key: "z",                                                                                                     py_key: Py(                                                                                                         0x00007f5fbca3e828,                                                                                                     ),                                                                                                     path: LookupPath(                                                                                                         [                                                                                                             S(                                                                                                                 "z",                                                                                                                 Py(                                                                                                                     0x00007f5fbca3e828,                                                                                                                 ),                                                                                                             ),                                                                                                         ],                                                                                                     ),                                                                                                 },                                                                                                 name_py: Py(                                                                                                     0x00007f5fbca3e828,                                                                                                 ),                                                                                                 validator: Float(                                                                                                     FloatValidator {                                                                                                         strict: false,                                                                                                         allow_inf_nan: true,                                                                                                     },                                                                                                 ),                                                                                                 frozen: false,                                                                                             },                                                                                         ],                                                                                         model_name: "Point4d",                                                                                         extra_behavior: Ignore,                                                                                         extras_validator: None,                                                                                         strict: false,                                                                                         from_attributes: false,                                                                                         loc_by_alias: true,                                                                                     },                                                                                 ),                                                                                 class: Py(                                                                                     0x0000565013802d00,                                                                                 ),                                                                                 post_init: None,                                                                                 frozen: false,                                                                                 custom_init: false,                                                                                 root_model: false,                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                                 name: "Point4d",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho",                                                                         lookup_key: Simple {                                                                             key: "ortho",                                                                             py_key: Py(                                                                                 0x00007f5fa917edc0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho",                                                                                         Py(                                                                                             0x00007f5fa917edf0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5faa609320,                                                                         ),                                                                         validator: Bool(                                                                             BoolValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "ortho_scale",                                                                         lookup_key: Simple {                                                                             key: "ortho_scale",                                                                             py_key: Py(                                                                                 0x00007f5fa91088b0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "ortho_scale",                                                                                         Py(                                                                                             0x00007f5fa9108a30,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fa98459b0,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f5fbc947100,                                                                                     ),                                                                                 ),                                                                                 on_error: Raise,                                                                                 validator: Nullable(                                                                                     NullableValidator {                                                                                         validator: Float(                                                                                             FloatValidator {                                                                                                 strict: false,                                                                                                 allow_inf_nan: true,                                                                                             },                                                                                         ),                                                                                         name: "nullable[float]",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[nullable[float]]",                                                                                 undefined: Py(                                                                                     0x00007f5fabd31e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "pos",                                                                         lookup_key: Simple {                                                                             key: "pos",                                                                             py_key: Py(                                                                                 0x00007f5fa917ee20,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "pos",                                                                                         Py(                                                                                             0x00007f5fa917ee50,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbca3b3f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "up",                                                                         lookup_key: Simple {                                                                             key: "up",                                                                             py_key: Py(                                                                                 0x00007f5fa917ee80,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "up",                                                                                         Py(                                                                                             0x00007f5fa917eeb0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f5fbb6f70f0,                                                                         ),                                                                         validator: DefinitionRef(                                                                             DefinitionRefValidator {                                                                                 definition: "...",                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "CameraSettings",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x0000565013803c40,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f5fabd31e70,                                                         ),                                                         name: "CameraSettings",                                                     },                                                 ),                                                 frozen: false,                                             },                                         ],                                         model_name: "ZoomToFit",                                         extra_behavior: Ignore,                                         extras_validator: None,                                         strict: false,                                         from_attributes: false,                                         loc_by_alias: true,                                     },                                 ),                                 class: Py(                                     0x0000565013eec4d0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                                 name: "ZoomToFit",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f5fa917ef40,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f5fa917ef70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f5fbca3cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f5faa2310b0,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "zoom_to_fit": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f5faa2310b0,                                                 ),                                             ],                                         },                                         expected_repr: "'zoom_to_fit'",                                         name: "literal['zoom_to_fit']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['zoom_to_fit']]",                                 undefined: Py(                                     0x00007f5fabd31e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "zoom_to_fit",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x0000565013ed62f0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f5fabd31e70,         ),         name: "zoom_to_fit",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f5fbca3e7c8), path: LookupPath([S("x", Py(0x7f5fbca3e7c8))]) }, name_py: Py(0x7f5fbca3d0b8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f5fbca3e7f8), path: LookupPath([S("y", Py(0x7f5fbca3e7f8))]) }, name_py: Py(0x7f5fbca3e7f8), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f5fbca3e828), path: LookupPath([S("z", Py(0x7f5fbca3e828))]) }, name_py: Py(0x7f5fbca3e828), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5650137bad60), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f5fabd31e70), name: "Point3d" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[Optional[str], Any]]

__repr_name__()

Name of the instance’s class, used in __repr__.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, data: kittycad.models.zoom_to_fit.ZoomToFit, type: Literal['zoom_to_fit'] = 'zoom_to_fit') -> None>

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

data: ZoomToFit

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)

Return type:

str

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.

• context (Optional[Any]) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'data': FieldInfo(annotation=ZoomToFit, required=True), 'type': FieldInfo(annotation=Literal['zoom_to_fit'], required=False, default='zoom_to_fit')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

• _types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• from_attributes (Optional[bool]) – Whether to extract data from object attributes.

• context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)

Validate the given object with string data against the Pydantic model.

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (Optional[bool]) – Whether to enforce types strictly.

• context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Self

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)

Return type:

str

type: Literal['zoom_to_fit']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self