kittycad.models.output_format.OptionPly

class kittycad.models.output_format.OptionPly(**data)[source][source]

Bases: BaseModel

The PLY Polygon File Format.

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/2.10/concepts/serialization/#model_copy
`model_dump`(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump
`model_dump_json`(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.10/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/2.10/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`
`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`
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`coords`
`selection`
`storage`
`type`
`units`

__abstractmethods__ = frozenset({})[source]

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'coords': <class 'kittycad.models.system.System'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'selection': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'storage': <enum 'PlyStorage'>, 'type': typing.Literal['ply'], 'units': <enum 'UnitLength'>}[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[InvalidSchema, 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[InvalidSchema, 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.output_format'[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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94613489202720', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:94613489197600', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:94613489200160', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'AxisDirectionPair', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <enum 'Axis'>, 'members': [Axis.Y, Axis.Z], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:94613489197600', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:94613489200160', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.output_format.OptionPly'>, 'config': {'title': 'OptionPly'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionPly'>>]}, 'ref': 'kittycad.models.output_format.OptionPly:94613487204304', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:94613489213312', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94613489202720', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94613489202720', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'selection': {'metadata': {}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'generic_origin': <class 'pydantic.root_model.RootModel'>, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94613489228048[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140435634374800]", 'root_model': True, 'schema': {'choices': {'default_scene': {'cls': <class 'kittycad.models.selection.OptionDefaultScene'>, 'config': {'title': 'OptionDefaultScene'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionDefaultScene'>>]}, 'ref': 'kittycad.models.selection.OptionDefaultScene:94613487700944', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'default_scene', 'schema': {'expected': ['default_scene'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionDefaultScene', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_index': {'cls': <class 'kittycad.models.selection.OptionMeshByIndex'>, 'config': {'title': 'OptionMeshByIndex'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionMeshByIndex'>>]}, 'ref': 'kittycad.models.selection.OptionMeshByIndex:94613487377392', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'mesh_by_index', 'schema': {'expected': ['mesh_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionMeshByIndex', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_name': {'cls': <class 'kittycad.models.selection.OptionMeshByName'>, 'config': {'title': 'OptionMeshByName'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionMeshByName'>>]}, 'ref': 'kittycad.models.selection.OptionMeshByName:94613487383744', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'mesh_by_name', 'schema': {'expected': ['mesh_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionMeshByName', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_index': {'cls': <class 'kittycad.models.selection.OptionSceneByIndex'>, 'config': {'title': 'OptionSceneByIndex'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionSceneByIndex'>>]}, 'ref': 'kittycad.models.selection.OptionSceneByIndex:94613487445712', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'scene_by_index', 'schema': {'expected': ['scene_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionSceneByIndex', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_name': {'cls': <class 'kittycad.models.selection.OptionSceneByName'>, 'config': {'title': 'OptionSceneByName'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionSceneByName'>>]}, 'ref': 'kittycad.models.selection.OptionSceneByName:94613487434496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'scene_by_name', 'schema': {'expected': ['scene_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionSceneByName', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'model-field'}, 'storage': {'metadata': {}, 'schema': {'cls': <enum 'PlyStorage'>, 'members': [PlyStorage.ASCII, PlyStorage.BINARY_LITTLE_ENDIAN, PlyStorage.BINARY_BIG_ENDIAN], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ply_storage.PlyStorage:94613487698384', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'ply', 'schema': {'expected': ['ply'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:94613489230064', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'OptionPly', '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__: ClassVar[Dict[str, FieldInfo]] = {'coords': FieldInfo(annotation=System, required=True), 'selection': FieldInfo(annotation=RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'storage': FieldInfo(annotation=PlyStorage, required=True), 'type': FieldInfo(annotation=Literal['ply'], required=False, default='ply'), 'units': FieldInfo(annotation=UnitLength, required=True)}[source]: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects. This replaces Model.__fields__ from Pydantic V1.

__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( 0x0000560ceb4bb7d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "selection": SerField { key_py: Py( 0x00007fb9b81abdb0, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000560ceb4fa5e0, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fb9bbe3c5a0, ), path: LookupPath( [ S( "type", Py( 0x00007fb9bbe3c5a0, ), ), ], ), }, ), lookup: { "mesh_by_index": 3, "mesh_by_name": 4, "scene_by_index": 1, "default_scene": 0, "scene_by_name": 2, }, choices: [ Model( ModelSerializer { class: Py( 0x0000560ceb534bd0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b8050630, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "default_scene", }, expected_py: None, name: "literal['default_scene']", }, ), }, ), ), 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: "OptionDefaultScene", }, ), Model( ModelSerializer { class: Py( 0x0000560ceb4f66d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b81a4130, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "scene_by_index", }, expected_py: None, name: "literal['scene_by_index']", }, ), }, ), ), required: true, }, "index": SerField { key_py: Py( 0x00007fb9bbdfaac0, ), 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: 2, }, ), has_extra: false, root_model: false, name: "OptionSceneByIndex", }, ), Model( ModelSerializer { class: Py( 0x0000560ceb4f3b00, ), serializer: Fields( GeneralFieldsSerializer { fields: { "name": SerField { key_py: Py( 0x00007fb9bbe3a388, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b81a4fb0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "scene_by_name", }, expected_py: None, name: "literal['scene_by_name']", }, ), }, ), ), 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: "OptionSceneByName", }, ), Model( ModelSerializer { class: Py( 0x0000560ceb4e5bf0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "index": SerField { key_py: Py( 0x00007fb9bbdfaac0, ), alias: None, alias_py: None, serializer: Some( Int( IntSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b807a6b0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "mesh_by_index", }, expected_py: None, name: "literal['mesh_by_index']", }, ), }, ), ), 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: "OptionMeshByIndex", }, ), Model( ModelSerializer { class: Py( 0x0000560ceb4e74c0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "name": SerField { key_py: Py( 0x00007fb9bbe3a388, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b8079930, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "mesh_by_name", }, expected_py: None, name: "literal['mesh_by_name']", }, ), }, ), ), 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: "OptionMeshByName", }, ), ], name: "TaggedUnion[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007fb9b819e130, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000560ceb6a5f80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "forward": SerField { key_py: Py( 0x00007fb9b872cde0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "up": SerField { key_py: Py( 0x00007fb9ba345170, ), 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: "System", }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fb9bbe3c5a0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fb9b819d860, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fb9baadac40, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000560ceb6aa0f0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007fb9b9c68cc0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000560ceb5341d0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), 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: "OptionPly", }, ), definitions=[Enum(EnumSerializer { class: Py(0x560ceb6a2220), serializer: Some(Str(StrSerializer)) }), Enum(EnumSerializer { class: Py(0x560ceb6a2c20), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x560ceb6a3620), serializer: Fields(GeneralFieldsSerializer { fields: {"direction": SerField { key_py: Py(0x7fb9ba555430), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "axis": SerField { key_py: Py(0x7fb9b8779440), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), 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: "AxisDirectionPair" })])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionPly", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fb9b872e9d0, ), path: LookupPath( [ S( "coords", Py( 0x00007fb9b819bfc0, ), ), ], ), }, name_py: Py( 0x00007fb9b819e130, ), validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "forward", lookup_key: Simple { key: "forward", py_key: Py( 0x00007fb9b819f210, ), path: LookupPath( [ S( "forward", Py( 0x00007fb9b819ecd0, ), ), ], ), }, name_py: Py( 0x00007fb9b872cde0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "up", lookup_key: Simple { key: "up", py_key: Py( 0x00007fb9b819ebe0, ), path: LookupPath( [ S( "up", Py( 0x00007fb9b8feb7e0, ), ), ], ), }, name_py: Py( 0x00007fb9ba345170, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "System", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb6a5f80, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "System", }, ), frozen: false, }, Field { name: "selection", lookup_key: Simple { key: "selection", py_key: Py( 0x00007fb9b77cdb30, ), path: LookupPath( [ S( "selection", Py( 0x00007fb9b77cdb70, ), ), ], ), }, name_py: Py( 0x00007fb9b81abdb0, ), validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fb9bbe3c5a0, ), path: LookupPath( [ S( "type", Py( 0x00007fb9bbe3c5a0, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "scene_by_name": 2, "default_scene": 0, "scene_by_index": 1, "mesh_by_index": 3, "mesh_by_name": 4, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cdb00, ), ), values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b8199d10, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b82ea6d0, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b8050630, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "default_scene": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cd9c0, ), ), values: [ Py( 0x00007fb9b8050630, ), ], }, expected_repr: "'default_scene'", name: "literal['default_scene']", }, ), validate_default: false, copy_default: false, name: "default[literal['default_scene']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, ], model_name: "OptionDefaultScene", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb534bd0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionDefaultScene", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "index", lookup_key: Simple { key: "index", py_key: Py( 0x00007fb9b80a4480, ), path: LookupPath( [ S( "index", Py( 0x00007fb9b80a50e0, ), ), ], ), }, name_py: Py( 0x00007fb9bbdfaac0, ), validator: Int( IntValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b80a5260, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b80a5230, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b81a4130, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "scene_by_index": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cda00, ), ), values: [ Py( 0x00007fb9b81a4130, ), ], }, expected_repr: "'scene_by_index'", name: "literal['scene_by_index']", }, ), validate_default: false, copy_default: false, name: "default[literal['scene_by_index']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, ], model_name: "OptionSceneByIndex", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb4f66d0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionSceneByIndex", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007fb9b80a52c0, ), path: LookupPath( [ S( "name", Py( 0x00007fb9b80a52f0, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3a388, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b80a5200, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b80a5380, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b81a4fb0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "scene_by_name": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cda40, ), ), values: [ Py( 0x00007fb9b81a4fb0, ), ], }, expected_repr: "'scene_by_name'", name: "literal['scene_by_name']", }, ), validate_default: false, copy_default: false, name: "default[literal['scene_by_name']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, ], model_name: "OptionSceneByName", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb4f3b00, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionSceneByName", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "index", lookup_key: Simple { key: "index", py_key: Py( 0x00007fb9b80a53b0, ), path: LookupPath( [ S( "index", Py( 0x00007fb9b80a5110, ), ), ], ), }, name_py: Py( 0x00007fb9bbdfaac0, ), validator: Int( IntValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b80a5a10, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b80a5b00, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b807a6b0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "mesh_by_index": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cdac0, ), ), values: [ Py( 0x00007fb9b807a6b0, ), ], }, expected_repr: "'mesh_by_index'", name: "literal['mesh_by_index']", }, ), validate_default: false, copy_default: false, name: "default[literal['mesh_by_index']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, ], model_name: "OptionMeshByIndex", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb4e5bf0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionMeshByIndex", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007fb9b80a5320, ), path: LookupPath( [ S( "name", Py( 0x00007fb9b80a5aa0, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3a388, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b80a4cc0, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b80a4420, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b8079930, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "mesh_by_name": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cda80, ), ), values: [ Py( 0x00007fb9b8079930, ), ], }, expected_repr: "'mesh_by_name'", name: "literal['mesh_by_name']", }, ), validate_default: false, copy_default: false, name: "default[literal['mesh_by_name']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, ], model_name: "OptionMeshByName", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb4e74c0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionMeshByName", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'default_scene', 'scene_by_index', 'scene_by_name', 'mesh_by_index', 'mesh_by_name'", discriminator_repr: "'type'", name: "tagged-union[OptionDefaultScene,OptionSceneByIndex,OptionSceneByName,OptionMeshByIndex,OptionMeshByName]", }, ), class: Py( 0x0000560ceb4fa5e0, ), generic_origin: Some( Py( 0x0000560ceb6a9910, ), ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007fb9b9d9a350, ), name: "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007fb9b80a5830, ), path: LookupPath( [ S( "storage", Py( 0x00007fb9b80a5140, ), ), ], ), }, name_py: Py( 0x00007fb9b9c68cc0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000560ceb5341d0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "binary_little_endian": 1, "binary_big_endian": 2, "ascii": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cd980, ), ), values: [ Py( 0x00007fb9b7827710, ), Py( 0x00007fb9b7827770, ), Py( 0x00007fb9b78277d0, ), ], }, missing: None, expected_repr: "'ascii', 'binary_little_endian' or 'binary_big_endian'", strict: false, class_repr: "PlyStorage", name: "str-enum[PlyStorage]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fb9b80a57d0, ), path: LookupPath( [ S( "type", Py( 0x00007fb9b80a51a0, ), ), ], ), }, name_py: Py( 0x00007fb9bbe3c5a0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fb9b819d860, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cdbc0, ), ), values: [ Py( 0x00007fb9b819d860, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", undefined: Py( 0x00007fb9b9d9a350, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fb9b80a5950, ), path: LookupPath( [ S( "units", Py( 0x00007fb9b80a5080, ), ), ], ), }, name_py: Py( 0x00007fb9baadac40, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000560ceb6aa0f0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ft": 1, "in": 2, "cm": 0, "m": 3, "mm": 4, "yd": 5, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fb9b77cdc00, ), ), values: [ Py( 0x00007fb9b7825d90, ), Py( 0x00007fb9b7826330, ), Py( 0x00007fb9b78263f0, ), Py( 0x00007fb9b7826450, ), Py( 0x00007fb9b78264b0, ), Py( 0x00007fb9b7826510, ), ], }, missing: None, expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'", strict: false, class_repr: "UnitLength", name: "str-enum[UnitLength]", }, ), frozen: false, }, ], model_name: "OptionPly", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000560ceb4bb7d0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fb9b9d9a350, ), name: "OptionPly", }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x560ceb6a2220), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"z": 1, "y": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fb9b77cd940)), values: [Py(0x7fb9b7825fd0), Py(0x7fb9b7826030)] }, missing: None, expected_repr: "'y' or 'z'", strict: false, class_repr: "Axis", name: "str-enum[Axis]" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x560ceb6a2c20), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"negative": 1, "positive": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fb9b77cd900)), values: [Py(0x7fb9b7826150), Py(0x7fb9b78261b0)] }, missing: None, expected_repr: "'positive' or 'negative'", strict: false, class_repr: "Direction", name: "str-enum[Direction]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7fb9b819ed30), path: LookupPath([S("axis", Py(0x7fb9b819eb20))]) }, name_py: Py(0x7fb9b8779440), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7fb9b77cd8b0), path: LookupPath([S("direction", Py(0x7fb9b77cd870))]) }, name_py: Py(0x7fb9ba555430), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }], model_name: "AxisDirectionPair", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x560ceb6a3620), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fb9b9d9a350), name: "AxisDirectionPair" })], cache_strings=True)[source]: The pydantic-core SchemaValidator used to validate instances of the model.

__replace__(**changes)[source]

Creates a new instance of the model, replacing fields with values from changes. Relevant for v3.13+.

Return type:: Self

__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_recursion__(object)[source]

Returns the string representation of a recursive object.

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 (*, coords: kittycad.models.system.System, selection: pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], storage: kittycad.models.ply_storage.PlyStorage, type: Literal['ply'] = 'ply', units: kittycad.models.unit_length.UnitLength) -> 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

coords: System[source]

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:

`python {test="skip" lint="skip"} 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]

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/2.10/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

update (Optional[Mapping[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)[source]

Usage docs: https://docs.pydantic.dev/2.10/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, bool]], Mapping[str, Union[IncEx, bool]], bool]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, bool]], Mapping[str, Union[IncEx, bool]], bool]], 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, bool]], Mapping[str, Union[IncEx, bool]], bool]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, bool]], Mapping[str, Union[IncEx, bool]], bool]], 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/2.10/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, bool]], Mapping[str, Union[IncEx, bool]], bool]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, bool]], Mapping[str, Union[IncEx, bool]], bool]], 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, bool]], Mapping[str, Union[IncEx, bool]], bool]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, bool]], Mapping[str, Union[IncEx, bool]], bool]], 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]] = {'coords': FieldInfo(annotation=System, required=True), 'selection': FieldInfo(annotation=RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'storage': FieldInfo(annotation=PlyStorage, required=True), 'type': FieldInfo(annotation=Literal['ply'], required=False, default='ply'), 'units': FieldInfo(annotation=UnitLength, required=True)}[source]

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 (Optional[Mapping[str, Any]]) – 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/2.10/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

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

selection: RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]

storage: PlyStorage[source]

type: Literal['ply'][source]

units: UnitLength[source]

classmethod update_forward_refs(**localns)[source]

Return type:: None

classmethod validate(value)[source]

Return type:: Self