kittycad.models.modeling_cmd.OptionExtendPath

class kittycad.models.modeling_cmd.OptionExtendPath(**data)[source][source]

Bases: BaseModel

Extend a path by adding a new segment which starts at the path’s “pen”. If no “pen” location has been set before (via MovePen), then the pen is at the origin.

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.

__init__(**data)[source]

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.

Methods

`__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`construct`([_fields_set])
`copy`(*[, include, exclude, update, deep])	Returns a copy of the model.
`dict`(*[, include, exclude, by_alias, ...])
`from_orm`(obj)
`json`(*[, include, exclude, by_alias, ...])
`model_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`model_copy`(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy
`model_dump`(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump
`model_dump_json`(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json
`model_json_schema`([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
`model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`model_post_init`(_BaseModel__context)	Override this method to perform additional initialization after `__init__` and `model_construct`.
`model_rebuild`(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
`model_validate`(obj, *[, strict, ...])	Validate a pydantic model instance.
`model_validate_json`(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#json-parsing
`model_validate_strings`(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
`parse_file`(path, *[, content_type, ...])
`parse_obj`(obj)
`parse_raw`(b, *[, content_type, encoding, ...])
`schema`([by_alias, ref_template])
`schema_json`(*[, by_alias, ref_template])
`update_forward_refs`(**localns)
`validate`(value)

Attributes

`model_computed_fields`	A dictionary of computed field names and their corresponding `ComputedFieldInfo` objects.
`model_config`	Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`	Metadata about the fields defined on the model, mapping of field names to [`FieldInfo`][pydantic.fields.FieldInfo] objects.
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`path`
`segment`
`type`

__abstractmethods__ = frozenset({})[source]

__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]]', 'path': <class 'kittycad.models.modeling_cmd_id.ModelingCmdId'>, 'segment': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'type': typing.Literal['extend_path']}[source]

classmethod __class_getitem__(typevar_values)[source]

Return type:: type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}[source]: The names of the class variables defined on the model.

__copy__()[source]

Returns a shallow copy of the model.

Return type:: Self

__deepcopy__(memo=None)[source]

Returns a deep copy of the model.

Return type:: Self

__delattr__(item)[source]

Implement delattr(self, name).

Return type:: Any

__dict__[source]

__eq__(other)[source]

Return self==value.

Return type:: bool

property __fields_set__: set[str][source]

classmethod __get_pydantic_core_schema__(source, handler, /)[source]

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, ComplexSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]

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, ComplexSchema]) – 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)[source]

Return type:: Any

__getstate__()[source]

Helper for pickle.

Return type:: dict[Any, Any]

__hash__ = None[source]

__init__(**data)[source]

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__()[source]

So dict(model) works.

Return type:: Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.modeling_cmd'[source]

__pretty__(fmt, **kwargs)[source]

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

Return type:: Generator[Any, None, None]

__private_attributes__: ClassVar[Dict[str, ModelPrivateAttr]] = {}[source]: Metadata about the private attributes of the model.

__pydantic_complete__: ClassVar[bool] = True[source]: Whether model building is completed, or if there are still undefined fields.

__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:94734209731024', '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'}, {'cls': <class 'kittycad.models.angle.Angle'>, 'config': {'title': 'Angle'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.angle.Angle'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.angle.Angle'>>]}, 'ref': 'kittycad.models.angle.Angle:94734215396080', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.unit_angle.UnitAngle:94734217096192', 'type': 'definition-ref'}, 'type': 'model-field'}, 'value': {'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': 'Angle', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <enum 'UnitAngle'>, 'members': [UnitAngle.DEGREES, UnitAngle.RADIANS], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_angle.UnitAngle:94734217096192', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.modeling_cmd.OptionExtendPath'>, 'config': {'title': 'OptionExtendPath'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.modeling_cmd.OptionExtendPath'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.modeling_cmd.OptionExtendPath'>>]}, 'ref': 'kittycad.models.modeling_cmd.OptionExtendPath:94734222926336', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'path': {'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.modeling_cmd_id.ModelingCmdId'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'segment': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94734217805984[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140204145245600]", 'root_model': True, 'schema': {'choices': {'arc': {'cls': <class 'kittycad.models.path_segment.OptionArc'>, 'config': {'title': 'OptionArc'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment.OptionArc'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment.OptionArc'>>]}, 'ref': 'kittycad.models.path_segment.OptionArc:94734222305728', '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': {'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:94734222223120', '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': 'model-field'}, '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.angle.Angle:94734215396080', 'type': 'definition-ref'}, 'type': 'model-field'}, 'radius': {'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'}, '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'}, '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.angle.Angle:94734215396080', 'type': 'definition-ref'}, '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': 'arc', 'schema': {'expected': ['arc'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionArc', 'type': 'model-fields'}, 'type': 'model'}, 'bezier': {'cls': <class 'kittycad.models.path_segment.OptionBezier'>, 'config': {'title': 'OptionBezier'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment.OptionBezier'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment.OptionBezier'>>]}, 'ref': 'kittycad.models.path_segment.OptionBezier:94734222231104', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'control1': {'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:94734209731024', 'type': 'definition-ref'}, 'type': 'model-field'}, 'control2': {'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:94734209731024', 'type': 'definition-ref'}, 'type': 'model-field'}, '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:94734209731024', 'type': 'definition-ref'}, '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'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'bezier', 'schema': {'expected': ['bezier'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionBezier', 'type': 'model-fields'}, 'type': 'model'}, 'line': {'cls': <class 'kittycad.models.path_segment.OptionLine'>, 'config': {'title': 'OptionLine'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment.OptionLine'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment.OptionLine'>>]}, 'ref': 'kittycad.models.path_segment.OptionLine:94734222221888', '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:94734209731024', 'type': 'definition-ref'}, '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'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'line', 'schema': {'expected': ['line'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionLine', 'type': 'model-fields'}, 'type': 'model'}, 'tangential_arc': {'cls': <class 'kittycad.models.path_segment.OptionTangentialArc'>, 'config': {'title': 'OptionTangentialArc'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment.OptionTangentialArc'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment.OptionTangentialArc'>>]}, 'ref': 'kittycad.models.path_segment.OptionTangentialArc:94734222250512', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'offset': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.angle.Angle:94734215396080', 'type': 'definition-ref'}, 'type': 'model-field'}, 'radius': {'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'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'tangential_arc', 'schema': {'expected': ['tangential_arc'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionTangentialArc', 'type': 'model-fields'}, 'type': 'model'}, 'tangential_arc_to': {'cls': <class 'kittycad.models.path_segment.OptionTangentialArcTo'>, 'config': {'title': 'OptionTangentialArcTo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.path_segment.OptionTangentialArcTo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.path_segment.OptionTangentialArcTo'>>]}, 'ref': 'kittycad.models.path_segment.OptionTangentialArcTo:94734222264592', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'angle_snap_increment': {'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.angle.Angle:94734215396080', 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'to': {'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:94734209731024', 'type': 'definition-ref'}, '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': 'tangential_arc_to', 'schema': {'expected': ['tangential_arc_to'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionTangentialArcTo', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, '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': 'extend_path', 'schema': {'expected': ['extend_path'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionExtendPath', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}[source]: The core schema of the model.

__pydantic_custom_init__: ClassVar[bool] = False[source]: Whether the model has a custom __init__ method.

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})[source]: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_extra__: dict[str, Any] | None[source]: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.

__pydantic_fields_set__: set[str][source]: The names of fields explicitly set during instantiation.

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}[source]: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

classmethod __pydantic_init_subclass__(**kwargs)[source]

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] = None[source]: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None[source]: The name of the post-init method for the model, if defined.

__pydantic_private__: dict[str, Any] | None[source]: Values of private attributes set on the model instance.

__pydantic_root_model__: ClassVar[bool] = False[source]: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000562907b4a200, ), serializer: Fields( GeneralFieldsSerializer { fields: { "segment": SerField { key_py: Py( 0x00007f83d60e1ef0, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000562907aaddb0, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007f83d7022580, ), path: LookupPath( [ S( "type", Py( 0x00007f83d7022580, ), ), ], ), }, ), lookup: { "line": 0, "arc": 1, "tangential_arc_to": 4, "bezier": 2, "tangential_arc": 3, }, choices: [ Model( ModelSerializer { class: Py( 0x0000562907a9e240, ), serializer: Fields( GeneralFieldsSerializer { fields: { "relative": SerField { key_py: Py( 0x00007f83d56fa130, ), alias: None, alias_py: None, serializer: Some( Bool( BoolSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d701fc18, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "line", }, expected_py: None, name: "literal['line']", }, ), }, ), ), required: true, }, "end": SerField { key_py: Py( 0x00007f83d701e348, ), 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: "OptionLine", }, ), Model( ModelSerializer { class: Py( 0x0000562907ab29c0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "center": SerField { key_py: Py( 0x00007f83d68b0150, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000562907a9e710, ), serializer: Fields( GeneralFieldsSerializer { fields: { "y": SerField { key_py: Py( 0x00007f83d7024150, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "x": SerField { key_py: Py( 0x00007f83d7024120, ), 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, }, "end": SerField { key_py: Py( 0x00007f83d701e348, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "relative": SerField { key_py: Py( 0x00007f83d56fa130, ), alias: None, alias_py: None, serializer: Some( Bool( BoolSerializer, ), ), required: true, }, "start": SerField { key_py: Py( 0x00007f83d7021cc8, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d43f12f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "arc", }, expected_py: None, name: "literal['arc']", }, ), }, ), ), required: true, }, "radius": SerField { key_py: Py( 0x00007f83d24cfe40, ), 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: 6, }, ), has_extra: false, root_model: false, name: "OptionArc", }, ), Model( ModelSerializer { class: Py( 0x0000562907aa0640, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d4eeb2d0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "bezier", }, expected_py: None, name: "literal['bezier']", }, ), }, ), ), required: true, }, "end": SerField { key_py: Py( 0x00007f83d701e348, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "control1": SerField { key_py: Py( 0x00007f83d24a13f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "relative": SerField { key_py: Py( 0x00007f83d56fa130, ), alias: None, alias_py: None, serializer: Some( Bool( BoolSerializer, ), ), required: true, }, "control2": SerField { key_py: Py( 0x00007f83d24f9eb0, ), 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: 5, }, ), has_extra: false, root_model: false, name: "OptionBezier", }, ), Model( ModelSerializer { class: Py( 0x0000562907aa5210, ), serializer: Fields( GeneralFieldsSerializer { fields: { "offset": SerField { key_py: Py( 0x00007f83d70207a0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "radius": SerField { key_py: Py( 0x00007f83d24cfe40, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d24fa0f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "tangential_arc", }, expected_py: None, name: "literal['tangential_arc']", }, ), }, ), ), 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: "OptionTangentialArc", }, ), Model( ModelSerializer { class: Py( 0x0000562907aa8910, ), serializer: Fields( GeneralFieldsSerializer { fields: { "to": SerField { key_py: Py( 0x00007f83d658ef70, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d2349af0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "tangential_arc_to", }, expected_py: None, name: "literal['tangential_arc_to']", }, ), }, ), ), required: true, }, "angle_snap_increment": SerField { key_py: Py( 0x00007f83d24fa1f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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: 3, }, ), has_extra: false, root_model: false, name: "OptionTangentialArcTo", }, ), ], name: "TaggedUnion[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "path": SerField { key_py: Py( 0x00007f83d7020c10, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d3a810f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "extend_path", }, expected_py: None, name: "literal['extend_path']", }, ), }, ), ), 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: "OptionExtendPath", }, ), definitions=[Enum(EnumSerializer { class: Py(0x5629075bac00), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x56290741baf0), serializer: Fields(GeneralFieldsSerializer { fields: {"unit": SerField { key_py: Py(0x7f83d584d3b0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "value": SerField { key_py: Py(0x7f83d7022748), 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: "Angle" }), Model(ModelSerializer { class: Py(0x562906eb49d0), serializer: Fields(GeneralFieldsSerializer { fields: {"y": SerField { key_py: Py(0x7f83d7024150), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f83d7024180), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "x": SerField { key_py: Py(0x7f83d7024120), 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" })])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionExtendPath", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "path", lookup_key: Simple { key: "path", py_key: Py( 0x00007f83d24af660, ), path: LookupPath( [ S( "path", Py( 0x00007f83d24af630, ), ), ], ), }, name_py: Py( 0x00007f83d7020c10, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000562907a9b780, ), config: Py( 0x00007f83d24a6dc0, ), name: "function-after[ModelingCmdId(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "segment", lookup_key: Simple { key: "segment", py_key: Py( 0x00007f83d24aeac0, ), path: LookupPath( [ S( "segment", Py( 0x00007f83d24af000, ), ), ], ), }, name_py: Py( 0x00007f83d60e1ef0, ), validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007f83d7022580, ), path: LookupPath( [ S( "type", Py( 0x00007f83d7022580, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "tangential_arc": 3, "bezier": 2, "tangential_arc_to": 4, "arc": 1, "line": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "end", lookup_key: Simple { key: "end", py_key: Py( 0x00007f83d24af6c0, ), path: LookupPath( [ S( "end", Py( 0x00007f83d24af6f0, ), ), ], ), }, name_py: Py( 0x00007f83d701e348, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "relative", lookup_key: Simple { key: "relative", py_key: Py( 0x00007f83d24b2d70, ), path: LookupPath( [ S( "relative", Py( 0x00007f83d24ab670, ), ), ], ), }, name_py: Py( 0x00007f83d56fa130, ), validator: Bool( BoolValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24af270, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24af300, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d701fc18, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "line": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d701fc18, ), ], }, expected_repr: "'line'", name: "literal['line']", }, ), validate_default: false, copy_default: false, name: "default[literal['line']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionLine", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907a9e240, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionLine", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "center", lookup_key: Simple { key: "center", py_key: Py( 0x00007f83d24af420, ), path: LookupPath( [ S( "center", Py( 0x00007f83d24af330, ), ), ], ), }, name_py: Py( 0x00007f83d68b0150, ), validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "x", lookup_key: Simple { key: "x", py_key: Py( 0x00007f83d7024120, ), path: LookupPath( [ S( "x", Py( 0x00007f83d7024120, ), ), ], ), }, name_py: Py( 0x00007f83d7024120, ), validator: FunctionAfter( FunctionAfterValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), func: Py( 0x000056290792f5e0, ), config: Py( 0x00007f83d24a8400, ), name: "function-after[LengthUnit(), float]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py( 0x00007f83d7024150, ), path: LookupPath( [ S( "y", Py( 0x00007f83d7024150, ), ), ], ), }, name_py: Py( 0x00007f83d7024150, ), validator: FunctionAfter( FunctionAfterValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), func: Py( 0x000056290792f5e0, ), config: Py( 0x00007f83d24a8400, ), 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( 0x0000562907a9e710, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "Point2d", }, ), frozen: false, }, Field { name: "end", lookup_key: Simple { key: "end", py_key: Py( 0x00007f83d24ae670, ), path: LookupPath( [ S( "end", Py( 0x00007f83d24ae610, ), ), ], ), }, name_py: Py( 0x00007f83d701e348, ), validator: DefinitionRef( DefinitionRefValidator { definition: "Angle", }, ), frozen: false, }, Field { name: "radius", lookup_key: Simple { key: "radius", py_key: Py( 0x00007f83d24af210, ), path: LookupPath( [ S( "radius", Py( 0x00007f83d24af180, ), ), ], ), }, name_py: Py( 0x00007f83d24cfe40, ), validator: FunctionAfter( FunctionAfterValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), func: Py( 0x000056290792f5e0, ), config: Py( 0x00007f83d24a7fc0, ), name: "function-after[LengthUnit(), float]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "relative", lookup_key: Simple { key: "relative", py_key: Py( 0x00007f83d24ab1f0, ), path: LookupPath( [ S( "relative", Py( 0x00007f83d24abb70, ), ), ], ), }, name_py: Py( 0x00007f83d56fa130, ), validator: Bool( BoolValidator { strict: false, }, ), frozen: false, }, Field { name: "start", lookup_key: Simple { key: "start", py_key: Py( 0x00007f83d24af120, ), path: LookupPath( [ S( "start", Py( 0x00007f83d24af240, ), ), ], ), }, name_py: Py( 0x00007f83d7021cc8, ), validator: DefinitionRef( DefinitionRefValidator { definition: "Angle", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24af450, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24ad6b0, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d43f12f0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "arc": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d43f12f0, ), ], }, expected_repr: "'arc'", name: "literal['arc']", }, ), validate_default: false, copy_default: false, name: "default[literal['arc']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionArc", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907ab29c0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionArc", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "control1", lookup_key: Simple { key: "control1", py_key: Py( 0x00007f83d24a9cf0, ), path: LookupPath( [ S( "control1", Py( 0x00007f83d24abbb0, ), ), ], ), }, name_py: Py( 0x00007f83d24a13f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "control2", lookup_key: Simple { key: "control2", py_key: Py( 0x00007f83d24a9db0, ), path: LookupPath( [ S( "control2", Py( 0x00007f83d24a9e30, ), ), ], ), }, name_py: Py( 0x00007f83d24f9eb0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "end", lookup_key: Simple { key: "end", py_key: Py( 0x00007f83d24af0f0, ), path: LookupPath( [ S( "end", Py( 0x00007f83d24adfb0, ), ), ], ), }, name_py: Py( 0x00007f83d701e348, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "relative", lookup_key: Simple { key: "relative", py_key: Py( 0x00007f83d24a92b0, ), path: LookupPath( [ S( "relative", Py( 0x00007f83d24abcf0, ), ), ], ), }, name_py: Py( 0x00007f83d56fa130, ), validator: Bool( BoolValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24ae550, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24af1e0, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d4eeb2d0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "bezier": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d4eeb2d0, ), ], }, expected_repr: "'bezier'", name: "literal['bezier']", }, ), validate_default: false, copy_default: false, name: "default[literal['bezier']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionBezier", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907aa0640, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionBezier", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "offset", lookup_key: Simple { key: "offset", py_key: Py( 0x00007f83d24af2d0, ), path: LookupPath( [ S( "offset", Py( 0x00007f83d24ae070, ), ), ], ), }, name_py: Py( 0x00007f83d70207a0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "Angle", }, ), frozen: false, }, Field { name: "radius", lookup_key: Simple { key: "radius", py_key: Py( 0x00007f83d24ae490, ), path: LookupPath( [ S( "radius", Py( 0x00007f83d24adf20, ), ), ], ), }, name_py: Py( 0x00007f83d24cfe40, ), validator: FunctionAfter( FunctionAfterValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), func: Py( 0x000056290792f5e0, ), config: Py( 0x00007f83d24a7640, ), name: "function-after[LengthUnit(), float]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24ae970, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24ae3d0, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d24fa0f0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "tangential_arc": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d24fa0f0, ), ], }, expected_repr: "'tangential_arc'", name: "literal['tangential_arc']", }, ), validate_default: false, copy_default: false, name: "default[literal['tangential_arc']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionTangentialArc", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907aa5210, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionTangentialArc", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "angle_snap_increment", lookup_key: Simple { key: "angle_snap_increment", py_key: Py( 0x00007f83d24abd70, ), path: LookupPath( [ S( "angle_snap_increment", Py( 0x00007f83d24a9d70, ), ), ], ), }, name_py: Py( 0x00007f83d24fa1f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: DefinitionRef( DefinitionRefValidator { definition: "Angle", }, ), name: "nullable[Angle]", }, ), validate_default: false, copy_default: false, name: "default[nullable[Angle]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "to", lookup_key: Simple { key: "to", py_key: Py( 0x00007f83d24ae7c0, ), path: LookupPath( [ S( "to", Py( 0x00007f83d24aecd0, ), ), ], ), }, name_py: Py( 0x00007f83d658ef70, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24ae6a0, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24ae4f0, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d2349af0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "tangential_arc_to": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d2349af0, ), ], }, expected_repr: "'tangential_arc_to'", name: "literal['tangential_arc_to']", }, ), validate_default: false, copy_default: false, name: "default[literal['tangential_arc_to']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionTangentialArcTo", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907aa8910, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionTangentialArcTo", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'line', 'arc', 'bezier', 'tangential_arc', 'tangential_arc_to'", discriminator_repr: "'type'", name: "tagged-union[OptionLine,OptionArc,OptionBezier,OptionTangentialArc,OptionTangentialArcTo]", }, ), class: Py( 0x0000562907aaddb0, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007f83d4e0a330, ), name: "RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f83d24aefd0, ), path: LookupPath( [ S( "type", Py( 0x00007f83d24ae9a0, ), ), ], ), }, name_py: Py( 0x00007f83d7022580, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d3a810f0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "extend_path": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d3a810f0, ), ], }, expected_repr: "'extend_path'", name: "literal['extend_path']", }, ), validate_default: false, copy_default: false, name: "default[literal['extend_path']]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "OptionExtendPath", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907b4a200, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "OptionExtendPath", }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "unit", lookup_key: Simple { key: "unit", py_key: Py(0x7f83d24af7b0), path: LookupPath([S("unit", Py(0x7f83d24af750))]) }, name_py: Py(0x7f83d584d3b0), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "value", lookup_key: Simple { key: "value", py_key: Py(0x7f83d24af600), path: LookupPath([S("value", Py(0x7f83d24af780))]) }, name_py: Py(0x7f83d7022748), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }], model_name: "Angle", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x56290741baf0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f83d4e0a330), name: "Angle" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5629075bac00), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"radians": 1, "degrees": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f83d2951790), Py(0x7f83d29517f0)] }, missing: None, expected_repr: "'degrees' or 'radians'", strict: false, class_repr: "UnitAngle", name: "str-enum[UnitAngle]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f83d7024120), path: LookupPath([S("x", Py(0x7f83d7024120))]) }, name_py: Py(0x7f83d7024120), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f83d7024150), path: LookupPath([S("y", Py(0x7f83d7024150))]) }, name_py: Py(0x7f83d7024150), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f83d7024180), path: LookupPath([S("z", Py(0x7f83d7024180))]) }, name_py: Py(0x7f83d7024180), 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(0x562906eb49d0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f83d4e0a330), name: "Point3d" })], cache_strings=True)[source]: The pydantic-core SchemaValidator used to validate instances of the model.

__repr__()[source]

Return repr(self).

Return type:: str

__repr_args__()[source]

Return type:: Iterable[tuple[str | None, Any]]

__repr_name__()[source]

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

Return type:: str

__repr_str__(join_str)[source]

Return type:: str

__rich_repr__()[source]

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)[source]

Implement setattr(self, name, value).

Return type:: None

__setstate__(state)[source]

Return type:: None

__signature__: ClassVar[Signature] = <Signature (*, path: kittycad.models.modeling_cmd_id.ModelingCmdId, segment: pydantic.root_model.RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], type: Literal['extend_path'] = 'extend_path') -> None>[source]: The synthesized __init__ [Signature][inspect.Signature] of the model.

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]

__str__()[source]

Return str(self).

Return type:: str

_abc_impl = <_abc._abc_data object>[source]

_calculate_keys(*args, **kwargs)[source]

Return type:: Any

_check_frozen(name, value)[source]

Return type:: None

_copy_and_set_values(*args, **kwargs)[source]

Return type:: Any

classmethod _get_value(*args, **kwargs)[source]

Return type:: Any

_iter(*args, **kwargs)[source]

Return type:: Any

classmethod construct(_fields_set=None, **values)[source]

Return type:: Self

copy(*, include=None, exclude=None, update=None, deep=False)[source]

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)[source]

Return type:: Dict[str, Any]

classmethod from_orm(obj)[source]

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)[source]

Return type:: str

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]: A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}[source]: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)[source]

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 (set[str] | None) – A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.
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)[source]

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

update (dict[str, Any] | None) – 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)[source]

Usage docs: https://docs.pydantic.dev/2.9/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], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – A set of fields to include in the output.
exclude (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – A set of fields to exclude from the output.
context (Any | None) – 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)[source]

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json

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

Parameters:

indent (int | None) – Indentation to use in the JSON output. If None is passed, the output will be compact.
include (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – Field(s) to include in the JSON output.
exclude (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – Field(s) to exclude from the JSON output.
context (Any | None) – 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[source]

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]] = {'path': FieldInfo(annotation=ModelingCmdId, required=True), 'segment': FieldInfo(annotation=RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'type': FieldInfo(annotation=Literal['extend_path'], required=False, default='extend_path')}[source]

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str][source]

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')[source]

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)[source]

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)[source]

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)[source]

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

Return type:

bool | None

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)[source]

Validate a pydantic model instance.

Parameters:

obj (Any) – The object to validate.
strict (bool | None) – Whether to enforce types strictly.
from_attributes (bool | None) – Whether to extract data from object attributes.
context (Any | None) – 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)[source]

Usage docs: https://docs.pydantic.dev/2.9/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 (bool | None) – Whether to enforce types strictly.
context (Any | None) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValidationError – If json_data is not a JSON string or the object could not be validated.

classmethod model_validate_strings(obj, *, strict=None, context=None)[source]

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

Parameters:

obj (Any) – The object containing string data to validate.
strict (bool | None) – Whether to enforce types strictly.
context (Any | None) – 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)[source]

Return type:: Self

classmethod parse_obj(obj)[source]

Return type:: Self

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

Return type:: Self

path: ModelingCmdId[source]

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

Return type:: Dict[str, Any]

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

Return type:: str

segment: RootModel[Annotated[Union[OptionLine, OptionArc, OptionBezier, OptionTangentialArc, OptionTangentialArcTo], FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]

type: Literal['extend_path'][source]

classmethod update_forward_refs(**localns)[source]

Return type:: None

classmethod validate(value)[source]

Return type:: Self