kittycad.models.modeling_cmd.OptionEntityLinearPatternTransform

class kittycad.models.modeling_cmd.OptionEntityLinearPatternTransform(**data)

Bases: BaseModel

Create a pattern using this entity by specifying the transform for each desired repetition. Transformations are performed in the following order (first applied to last applied): scale, rotate, translate.

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)

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.
entity_id
transform
transforms
type

__abstractmethods__ = frozenset({})

__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]', 'entity_id': <class 'str'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'transform': typing.List[kittycad.models.transform.Transform], 'transforms': typing.List[typing.List[kittycad.models.transform.Transform]], 'type': typing.Literal['entity_linear_pattern_transform']}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

The names of the class variables defined on the model.

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

Union[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, /)

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)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.modeling_cmd'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

Metadata about the private attributes of the model.

__pydantic_complete__: ClassVar[bool] = True

Whether model building is completed, or if there are still undefined fields.

__pydantic_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94248671164256', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.transform.Transform'>, 'config': {'title': 'Transform'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.transform.Transform'>>]}, 'ref': 'kittycad.models.transform.Transform:94248688676064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'replicate': {'metadata': {}, 'schema': {'default': True, 'schema': {'type': 'bool'}, 'type': 'default'}, 'type': 'model-field'}, 'rotation': {'metadata': {}, 'schema': {'default': {'angle': {'unit': 'degrees', 'value': 0.0}, 'axis': {'x': 0.0, 'y': 0.0, 'z': 1.0}, 'origin': {'type': 'local'}}, 'schema': {'schema_ref': 'kittycad.models.rotation.Rotation:94248688640320', 'type': 'definition-ref'}, 'type': 'default'}, 'type': 'model-field'}, 'scale': {'metadata': {}, 'schema': {'default': {'x': 1.0, 'y': 1.0, 'z': 1.0}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94248671164256', 'type': 'definition-ref'}, 'type': 'default'}, 'type': 'model-field'}, 'translate': {'metadata': {}, 'schema': {'default': {'x': 0.0, 'y': 0.0, 'z': 0.0}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94248671164256', 'type': 'definition-ref'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Transform', '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:94248685478608', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.angle.Angle'>, 'config': {'title': 'Angle'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.angle.Angle'>>]}, 'ref': 'kittycad.models.angle.Angle:94248682754544', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'unit': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_angle.UnitAngle:94248685478608', 'type': 'definition-ref'}, 'type': 'model-field'}, 'value': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Angle', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.origin_type.OptionLocal'>, 'config': {'title': 'OptionLocal'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.origin_type.OptionLocal'>>]}, 'ref': 'kittycad.models.origin_type.OptionLocal:94248688587520', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'local', 'schema': {'expected': ['local'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionLocal', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.origin_type.OptionGlobal'>, 'config': {'title': 'OptionGlobal'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.origin_type.OptionGlobal'>>]}, 'ref': 'kittycad.models.origin_type.OptionGlobal:94248688593472', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'global', 'schema': {'expected': ['global'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionGlobal', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.origin_type.OptionCustom'>, 'config': {'title': 'OptionCustom'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.origin_type.OptionCustom'>>]}, 'ref': 'kittycad.models.origin_type.OptionCustom:94248688595248', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'origin': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94248671164256', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'custom', 'schema': {'expected': ['custom'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionCustom', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], 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[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94248680743344[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139915858217152]", 'root_model': True, 'schema': {'choices': {'custom': {'schema_ref': 'kittycad.models.origin_type.OptionCustom:94248688595248', 'type': 'definition-ref'}, 'global': {'schema_ref': 'kittycad.models.origin_type.OptionGlobal:94248688593472', 'type': 'definition-ref'}, 'local': {'schema_ref': 'kittycad.models.origin_type.OptionLocal:94248688587520', 'type': 'definition-ref'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, {'cls': <class 'kittycad.models.rotation.Rotation'>, 'config': {'title': 'Rotation'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.rotation.Rotation'>>]}, 'ref': 'kittycad.models.rotation.Rotation:94248688640320', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'angle': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.angle.Angle:94248682754544', 'type': 'definition-ref'}, 'type': 'model-field'}, 'axis': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.point3d.Point3d:94248671164256', 'type': 'definition-ref'}, 'type': 'model-field'}, 'origin': {'metadata': {}, 'schema': {'schema_ref': "pydantic.root_model.RootModel:94248680743344[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139915858217152]", 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'Rotation', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.modeling_cmd.OptionEntityLinearPatternTransform'>, 'config': {'title': 'OptionEntityLinearPatternTransform'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.modeling_cmd.OptionEntityLinearPatternTransform'>>]}, 'ref': 'kittycad.models.modeling_cmd.OptionEntityLinearPatternTransform:94248689292800', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'entity_id': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'transform': {'metadata': {}, 'schema': {'default': [], 'schema': {'items_schema': {'schema_ref': 'kittycad.models.transform.Transform:94248688676064', 'type': 'definition-ref'}, 'type': 'list'}, 'type': 'default'}, 'type': 'model-field'}, 'transforms': {'metadata': {}, 'schema': {'default': [], 'schema': {'items_schema': {'items_schema': {'schema_ref': 'kittycad.models.transform.Transform:94248688676064', 'type': 'definition-ref'}, 'type': 'list'}, 'type': 'list'}, 'type': 'default'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'entity_linear_pattern_transform', 'schema': {'expected': ['entity_linear_pattern_transform'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionEntityLinearPatternTransform', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

The core schema of the model.

__pydantic_custom_init__: ClassVar[bool] = False

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={})

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

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.

__pydantic_fields__: ClassVar[Dict[str, FieldInfo]] = {'entity_id': FieldInfo(annotation=str, required=True), 'transform': FieldInfo(annotation=List[Transform], required=False, default=[]), 'transforms': FieldInfo(annotation=List[List[Transform]], required=False, default=[]), 'type': FieldInfo(annotation=Literal['entity_linear_pattern_transform'], required=False, default='entity_linear_pattern_transform')}

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]

The names of fields explicitly set during instantiation.

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

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)

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

Parent namespace of the model, used for automatic rebuilding of models.

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

The name of the post-init method for the model, if defined.

__pydantic_private__: dict[str, Any] | None

Values of private attributes set on the model instance.

__pydantic_root_model__: ClassVar[bool] = False

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x000055b7fba55600,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "entity_id": SerField {                         key_py: Py(                             0x00007f40b3245eb0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Str(                                 StrSerializer,                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f40b7c22880,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f40b3ef4210,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "entity_linear_pattern_transform",                                             },                                             expected_py: None,                                             name: "literal['entity_linear_pattern_transform']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "transform": SerField {                         key_py: Py(                             0x00007f40b681b8f0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f40b3121c80,                                         ),                                     ),                                     serializer: List(                                         ListSerializer {                                             item_serializer: Recursive(                                                 DefinitionRefSerializer {                                                     definition: "...",                                                     retry_with_lax_check: true,                                                 },                                             ),                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             name: "list[definition-ref]",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "transforms": SerField {                         key_py: Py(                             0x00007f40b6a99230,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f40b3120e80,                                         ),                                     ),                                     serializer: List(                                         ListSerializer {                                             item_serializer: List(                                                 ListSerializer {                                                     item_serializer: Recursive(                                                         DefinitionRefSerializer {                                                             definition: "...",                                                             retry_with_lax_check: true,                                                         },                                                     ),                                                     filter: SchemaFilter {                                                         include: None,                                                         exclude: None,                                                     },                                                     name: "list[definition-ref]",                                                 },                                             ),                                             filter: SchemaFilter {                                                 include: None,                                                 exclude: None,                                             },                                             name: "list[list[definition-ref]]",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 4,             },         ),         has_extra: false,         root_model: false,         name: "OptionEntityLinearPatternTransform",     }, ), definitions=[Model(ModelSerializer { class: Py(0x55b7fb9ab130), serializer: Fields(GeneralFieldsSerializer { fields: {"origin": SerField { key_py: Py(0x7f40b7c20d78), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), required: true }, "type": SerField { key_py: Py(0x7f40b7c22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b3072730)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"custom"}, expected_py: None, name: "literal['custom']" }) })), 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: "OptionCustom" }), Model(ModelSerializer { class: Py(0x55b7fa90b760), serializer: Fields(GeneralFieldsSerializer { fields: {"x": SerField { key_py: Py(0x7f40b7c24420), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "y": SerField { key_py: Py(0x7f40b7c24450), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "z": SerField { key_py: Py(0x7f40b7c24480), 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" }), Enum(EnumSerializer { class: Py(0x55b7fb6b22d0), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x55b7fb9b6140), serializer: Fields(GeneralFieldsSerializer { fields: {"origin": SerField { key_py: Py(0x7f40b7c20d78), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), required: true }, "angle": SerField { key_py: Py(0x7f40b62495c0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), required: true }, "axis": SerField { key_py: Py(0x7f40b42b8ab0), 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: "Rotation" }), Model(ModelSerializer { class: Py(0x55b7fb9aaa40), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f40b7c22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b7189410)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"global"}, expected_py: None, name: "literal['global']" }) })), 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: "OptionGlobal" }), Model(ModelSerializer { class: Py(0x55b7fb9b0300), serializer: TaggedUnion(TaggedUnionSerializer { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7f40b7c22880), path: LookupPath([S("type", Py(0x7f40b7c22880))]) }), lookup: {"custom": 2, "local": 0, "global": 1}, choices: [Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })], name: "TaggedUnion[definition-ref, definition-ref, definition-ref]" }), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), Model(ModelSerializer { class: Py(0x55b7fb9bece0), serializer: Fields(GeneralFieldsSerializer { fields: {"translate": SerField { key_py: Py(0x7f40b7c22780), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b3095400)), serializer: Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }) })), required: true }, "scale": SerField { key_py: Py(0x7f40b63b11d0), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b3083c80)), serializer: Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }) })), required: true }, "replicate": SerField { key_py: Py(0x7f40b5b60ab0), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b7b16d00)), serializer: Bool(BoolSerializer) })), required: true }, "rotation": SerField { key_py: Py(0x7f40b59855f0), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b3081500)), serializer: Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }) })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 4 }), has_extra: false, root_model: false, name: "Transform" }), Model(ModelSerializer { class: Py(0x55b7fb9a9300), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f40b7c22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f40b6c46f70)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"local"}, expected_py: None, name: "literal['local']" }) })), 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: "OptionLocal" }), Model(ModelSerializer { class: Py(0x55b7fb4191f0), serializer: Fields(GeneralFieldsSerializer { fields: {"value": SerField { key_py: Py(0x7f40b7c22a48), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }, "unit": SerField { key_py: Py(0x7f40b648d8c0), 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: "Angle" })])

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionEntityLinearPatternTransform", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "entity_id",                         lookup_key: Simple {                             key: "entity_id",                             py_key: Py(                                 0x00007f40b2f324b0,                             ),                             path: LookupPath(                                 [                                     S(                                         "entity_id",                                         Py(                                             0x00007f40b2f324f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f40b3245eb0,                         ),                         validator: Str(                             StrValidator {                                 strict: false,                                 coerce_numbers_to_str: false,                             },                         ),                         frozen: false,                     },                     Field {                         name: "transform",                         lookup_key: Simple {                             key: "transform",                             py_key: Py(                                 0x00007f40b2f32530,                             ),                             path: LookupPath(                                 [                                     S(                                         "transform",                                         Py(                                             0x00007f40b2f32570,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f40b681b8f0,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f40b3121c80,                                     ),                                 ),                                 on_error: Raise,                                 validator: List(                                     ListValidator {                                         strict: false,                                         item_validator: Some(                                             DefinitionRef(                                                 DefinitionRefValidator {                                                     definition: "Transform",                                                 },                                             ),                                         ),                                         min_length: None,                                         max_length: None,                                         name: OnceLock(                                             "list[Transform]",                                         ),                                         fail_fast: false,                                     },                                 ),                                 validate_default: false,                                 copy_default: true,                                 name: "default[list[Transform]]",                                 undefined: Py(                                     0x00007f40b5be63d0,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "transforms",                         lookup_key: Simple {                             key: "transforms",                             py_key: Py(                                 0x00007f40b2f325b0,                             ),                             path: LookupPath(                                 [                                     S(                                         "transforms",                                         Py(                                             0x00007f40b2f325f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f40b6a99230,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f40b3120e80,                                     ),                                 ),                                 on_error: Raise,                                 validator: List(                                     ListValidator {                                         strict: false,                                         item_validator: Some(                                             List(                                                 ListValidator {                                                     strict: false,                                                     item_validator: Some(                                                         DefinitionRef(                                                             DefinitionRefValidator {                                                                 definition: "Transform",                                                             },                                                         ),                                                     ),                                                     min_length: None,                                                     max_length: None,                                                     name: OnceLock(                                                         "list[Transform]",                                                     ),                                                     fail_fast: false,                                                 },                                             ),                                         ),                                         min_length: None,                                         max_length: None,                                         name: OnceLock(                                             "list[list[Transform]]",                                         ),                                         fail_fast: false,                                     },                                 ),                                 validate_default: false,                                 copy_default: true,                                 name: "default[list[list[Transform]]]",                                 undefined: Py(                                     0x00007f40b5be63d0,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f40b3086910,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f40b3086a30,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f40b7c22880,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f40b3ef4210,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "entity_linear_pattern_transform": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             expected_py_primitives: Some(                                                 Py(                                                     0x00007f40b2f32440,                                                 ),                                             ),                                             values: [                                                 Py(                                                     0x00007f40b3ef4210,                                                 ),                                             ],                                         },                                         expected_repr: "'entity_linear_pattern_transform'",                                         name: "literal['entity_linear_pattern_transform']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['entity_linear_pattern_transform']]",                                 undefined: Py(                                     0x00007f40b5be63d0,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "OptionEntityLinearPatternTransform",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x000055b7fba55600,         ),         generic_origin: None,         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f40b5be63d0,         ),         name: "OptionEntityLinearPatternTransform",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "origin", lookup_key: Simple { key: "origin", py_key: Py(0x7f40b3086d30), path: LookupPath([S("origin", Py(0x7f40b3086dc0))]) }, name_py: Py(0x7f40b7c20d78), validator: DefinitionRef(DefinitionRefValidator { definition: "Point3d" }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f40b3086d90), path: LookupPath([S("type", Py(0x7f40b3086bb0))]) }, name_py: Py(0x7f40b7c22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b3072730)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"custom": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7f40b2f32400)), values: [Py(0x7f40b3072730)] }, expected_repr: "'custom'", name: "literal['custom']" }), validate_default: false, copy_default: false, name: "default[literal['custom']]", undefined: Py(0x7f40b5be63d0) }), frozen: false }], model_name: "OptionCustom", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55b7fb9ab130), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "OptionCustom" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x55b7fb6b22d0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"degrees": 0, "radians": 1}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7f40b2f32340)), values: [Py(0x7f40b345f4d0), Py(0x7f40b345f530)] }, 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: "unit", lookup_key: Simple { key: "unit", py_key: Py(0x7f40b3086f40), path: LookupPath([S("unit", Py(0x7f40b3086eb0))]) }, name_py: Py(0x7f40b648d8c0), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "value", lookup_key: Simple { key: "value", py_key: Py(0x7f40b3086f10), path: LookupPath([S("value", Py(0x7f40b3086df0))]) }, name_py: Py(0x7f40b7c22a48), 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(0x55b7fb4191f0), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "Angle" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f40b3086e80), path: LookupPath([S("type", Py(0x7f40b3086e50))]) }, name_py: Py(0x7f40b7c22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b7189410)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"global": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7f40b2f323c0)), values: [Py(0x7f40b7189410)] }, expected_repr: "'global'", name: "literal['global']" }), validate_default: false, copy_default: false, name: "default[literal['global']]", undefined: Py(0x7f40b5be63d0) }), frozen: false }], model_name: "OptionGlobal", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55b7fb9aaa40), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "OptionGlobal" }), Model(ModelValidator { revalidate: Never, validator: TaggedUnion(TaggedUnionValidator { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7f40b7c22880), path: LookupPath([S("type", Py(0x7f40b7c22880))]) }), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"local": 0, "custom": 2, "global": 1}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7f40b2f32480)), values: [DefinitionRef(DefinitionRefValidator { definition: "OptionLocal" }), DefinitionRef(DefinitionRefValidator { definition: "OptionGlobal" }), DefinitionRef(DefinitionRefValidator { definition: "OptionCustom" })] }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'local', 'global', 'custom'", discriminator_repr: "'type'", name: "tagged-union[OptionLocal,OptionGlobal,OptionCustom]" }), class: Py(0x55b7fb9b0300), generic_origin: Some(Py(0x55b7fb22e1b0)), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py(0x7f40b5be63d0), name: "RootModel[Annotated[Union[OptionLocal, OptionGlobal, OptionCustom], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "replicate", lookup_key: Simple { key: "replicate", py_key: Py(0x7f40b32bd9b0), path: LookupPath([S("replicate", Py(0x7f40b2f321f0))]) }, name_py: Py(0x7f40b5b60ab0), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b7b16d00)), on_error: Raise, validator: Bool(BoolValidator { strict: false }), validate_default: false, copy_default: false, name: "default[bool]", undefined: Py(0x7f40b5be63d0) }), frozen: false }, Field { name: "rotation", lookup_key: Simple { key: "rotation", py_key: Py(0x7f40b2f32270), path: LookupPath([S("rotation", Py(0x7f40b2f32230))]) }, name_py: Py(0x7f40b59855f0), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b3081500)), on_error: Raise, validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), validate_default: false, copy_default: true, name: "default[...]", undefined: Py(0x7f40b5be63d0) }), frozen: false }, Field { name: "scale", lookup_key: Simple { key: "scale", py_key: Py(0x7f40b3086f70), path: LookupPath([S("scale", Py(0x7f40b3086ee0))]) }, name_py: Py(0x7f40b63b11d0), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b3083c80)), on_error: Raise, validator: DefinitionRef(DefinitionRefValidator { definition: "Point3d" }), validate_default: false, copy_default: true, name: "default[Point3d]", undefined: Py(0x7f40b5be63d0) }), frozen: false }, Field { name: "translate", lookup_key: Simple { key: "translate", py_key: Py(0x7f40b2f322b0), path: LookupPath([S("translate", Py(0x7f40b2f322f0))]) }, name_py: Py(0x7f40b7c22780), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b3095400)), on_error: Raise, validator: DefinitionRef(DefinitionRefValidator { definition: "Point3d" }), validate_default: false, copy_default: true, name: "default[Point3d]", undefined: Py(0x7f40b5be63d0) }), frozen: false }], model_name: "Transform", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55b7fb9bece0), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "Transform" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "x", lookup_key: Simple { key: "x", py_key: Py(0x7f40b7c24420), path: LookupPath([S("x", Py(0x7f40b7c24420))]) }, name_py: Py(0x7f40b7c24420), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py(0x7f40b7c24450), path: LookupPath([S("y", Py(0x7f40b7c24450))]) }, name_py: Py(0x7f40b7c24450), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py(0x7f40b7c24480), path: LookupPath([S("z", Py(0x7f40b7c24480))]) }, name_py: Py(0x7f40b7c24480), 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(0x55b7fa90b760), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "Point3d" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f40b3086d00), path: LookupPath([S("type", Py(0x7f40b3086e20))]) }, name_py: Py(0x7f40b7c22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f40b6c46f70)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"local": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7f40b2f32380)), values: [Py(0x7f40b6c46f70)] }, expected_repr: "'local'", name: "literal['local']" }), validate_default: false, copy_default: false, name: "default[literal['local']]", undefined: Py(0x7f40b5be63d0) }), frozen: false }], model_name: "OptionLocal", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55b7fb9a9300), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "OptionLocal" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "angle", lookup_key: Simple { key: "angle", py_key: Py(0x7f40b3086af0), path: LookupPath([S("angle", Py(0x7f40b3086b80))]) }, name_py: Py(0x7f40b62495c0), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7f40b3086b50), path: LookupPath([S("axis", Py(0x7f40b3086ac0))]) }, name_py: Py(0x7f40b42b8ab0), validator: DefinitionRef(DefinitionRefValidator { definition: "Point3d" }), frozen: false }, Field { name: "origin", lookup_key: Simple { key: "origin", py_key: Py(0x7f40b3086b20), path: LookupPath([S("origin", Py(0x7f40b3086a00))]) }, name_py: Py(0x7f40b7c20d78), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }], model_name: "Rotation", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55b7fb9b6140), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f40b5be63d0), name: "Rotation" })], cache_strings=True)

The pydantic-core SchemaValidator used to validate instances of the model.

__replace__(**changes)

Return type:

Self

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[str | None, Any]]

__repr_name__()

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

Return type:

str

__repr_recursion__(object)

Returns the string representation of a recursive object.

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, entity_id: str, transform: List[kittycad.models.transform.Transform] = [], transforms: List[List[kittycad.models.transform.Transform]] = [], type: Literal['entity_linear_pattern_transform'] = 'entity_linear_pattern_transform') -> None>

The synthesized __init__ [Signature][inspect.Signature] of the model.

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`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)

Return type:

Dict[str, Any]

entity_id: str

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

• _fields_set (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)

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)

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)

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

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]] = {'entity_id': FieldInfo(annotation=str, required=True), 'transform': FieldInfo(annotation=List[Transform], required=False, default=[]), 'transforms': FieldInfo(annotation=List[List[Transform]], required=False, default=[]), 'type': FieldInfo(annotation=Literal['entity_linear_pattern_transform'], required=False, default='entity_linear_pattern_transform')}

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

• _types_namespace (Optional[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)

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)

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)

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)

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

transform: List[Transform]

transforms: List[List[Transform]]

type: Literal['entity_linear_pattern_transform']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self