kittycad.models.output_format

Classes

fbx(**data)	Autodesk Filmbox (FBX) format.
gltf(**data)	glTF 2.0.
obj(**data)	Wavefront OBJ format.
ply(**data)	The PLY Polygon File Format.
step(**data)	ISO 10303-21 (STEP) format.
stl(**data)	*ST**ereo**L**ithography format.

class kittycad.models.output_format.fbx(**data)

Autodesk Filmbox (FBX) 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.

__abstractmethods__ = frozenset({})

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

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.output_format.fbx'>, 'config': {'title': 'fbx'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.fbx'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.fbx'>>]}, 'ref': 'kittycad.models.output_format.fbx:93909450937376', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'storage': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FbxStorage'>, 'members': [FbxStorage.ASCII, FbxStorage.BINARY], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.fbx_storage.FbxStorage:93909451290752', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'fbx', 'schema': {'expected': ['fbx'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'fbx', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

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

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ff76d420,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cdcb7b840,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "fbx",                                             },                                             expected_py: None,                                             name: "literal['fbx']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "storage": SerField {                         key_py: Py(                             0x00007f0ce004adf0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ff7c3880,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 2,             },         ),         has_extra: false,         root_model: false,         name: "fbx",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="fbx", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "storage",                         lookup_key: Simple {                             key: "storage",                             py_key: Py(                                 0x00007f0cdc884e70,                             ),                             path: LookupPath(                                 [                                     S(                                         "storage",                                         Py(                                             0x00007f0cdc884ed0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ce004adf0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ff7c3880,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "ascii": 0,                                             "binary": 1,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7dedb0,                                         ),                                         Py(                                             0x00007f0cdc7dee70,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'ascii' or 'binary'",                                 strict: false,                                 class_repr: "FbxStorage",                                 name: "str-enum[FbxStorage]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f0cdc884f00,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdc884f30,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cdcb7b840,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "fbx": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f0cdcb7b840,                                                 ),                                             ],                                         },                                         expected_repr: "'fbx'",                                         name: "literal['fbx']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['fbx']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "fbx",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ff76d420,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "fbx",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, storage: kittycad.models.fbx_storage.FbxStorage, type: Literal['fbx'] = 'fbx') -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'storage': FieldInfo(annotation=FbxStorage, required=True), 'type': FieldInfo(annotation=Literal['fbx'], required=False, default='fbx')}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

storage: FbxStorage

type: Literal['fbx']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.output_format.gltf(**data)

glTF 2.0. We refer to this as glTF since that is how our customers refer to it, although by default it will be in binary format and thus technically (glb). If you prefer ASCII output, you can set that option for the export.

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

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

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

__abstractmethods__ = frozenset({})

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

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.output_format.gltf'>, 'config': {'title': 'gltf'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.gltf'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.gltf'>>]}, 'ref': 'kittycad.models.output_format.gltf:93909455545728', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'presentation': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'GltfPresentation'>, 'members': [GltfPresentation.COMPACT, GltfPresentation.PRETTY], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.gltf_presentation.GltfPresentation:93909455523984', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'storage': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'GltfStorage'>, 'members': [GltfStorage.BINARY, GltfStorage.STANDARD, GltfStorage.EMBEDDED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.gltf_storage.GltfStorage:93909455526000', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'gltf', 'schema': {'expected': ['gltf'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'gltf', 'type': 'model-fields'}, 'type': 'model'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

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

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ffbd2580,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "storage": SerField {                         key_py: Py(                             0x00007f0ce004adf0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ffbcd870,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cdcb7ba20,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "gltf",                                             },                                             expected_py: None,                                             name: "literal['gltf']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "presentation": SerField {                         key_py: Py(                             0x00007f0cdc79a970,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ffbcd090,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 3,             },         ),         has_extra: false,         root_model: false,         name: "gltf",     }, ), definitions=[])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="gltf", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "presentation",                         lookup_key: Simple {                             key: "presentation",                             py_key: Py(                                 0x00007f0cdcdfee30,                             ),                             path: LookupPath(                                 [                                     S(                                         "presentation",                                         Py(                                             0x00007f0cdc924bf0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cdc79a970,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ffbcd090,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "compact": 0,                                             "pretty": 1,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7def30,                                         ),                                         Py(                                             0x00007f0cdc7deff0,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'compact' or 'pretty'",                                 strict: false,                                 class_repr: "GltfPresentation",                                 name: "str-enum[GltfPresentation]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "storage",                         lookup_key: Simple {                             key: "storage",                             py_key: Py(                                 0x00007f0cdcb77990,                             ),                             path: LookupPath(                                 [                                     S(                                         "storage",                                         Py(                                             0x00007f0cdcb77960,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ce004adf0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ffbcd870,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "binary": 0,                                             "standard": 1,                                             "embedded": 2,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7df0b0,                                         ),                                         Py(                                             0x00007f0cdc7df170,                                         ),                                         Py(                                             0x00007f0cdc7df230,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'binary', 'standard' or 'embedded'",                                 strict: false,                                 class_repr: "GltfStorage",                                 name: "str-enum[GltfStorage]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f0cdcb77ba0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdcb77ae0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cdcb7ba20,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "gltf": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f0cdcb7ba20,                                                 ),                                             ],                                         },                                         expected_repr: "'gltf'",                                         name: "literal['gltf']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['gltf']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "gltf",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ffbd2580,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "gltf",     }, ), definitions=[], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, presentation: kittycad.models.gltf_presentation.GltfPresentation, storage: kittycad.models.gltf_storage.GltfStorage, type: Literal['gltf'] = 'gltf') -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'presentation': FieldInfo(annotation=GltfPresentation, required=True), 'storage': FieldInfo(annotation=GltfStorage, required=True), 'type': FieldInfo(annotation=Literal['gltf'], required=False, default='gltf')}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

presentation: GltfPresentation

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

storage: GltfStorage

type: Literal['gltf']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.output_format.obj(**data)

Wavefront OBJ 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.

__abstractmethods__ = frozenset({})

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

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:93909453122720', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:93909454273072', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:93909453122720', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:93909454273072', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.output_format.obj'>, 'config': {'title': 'obj'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.obj'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.obj'>>]}, 'ref': 'kittycad.models.output_format.obj:93909455554032', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:93909454286064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'obj', 'schema': {'expected': ['obj'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:93909454325296', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'obj', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

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

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ffbd45f0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "units": SerField {                         key_py: Py(                             0x00007f0cee2198f0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ffaa8630,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "coords": SerField {                         key_py: Py(                             0x00007f0ceda713e0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ffa9ecf0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "forward": SerField {                                                     key_py: Py(                                                         0x00007f0cdef36eb0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "up": SerField {                                                     key_py: Py(                                                         0x00007f0cee0630f0,                                                     ),                                                     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(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cef43ad28,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "obj",                                             },                                             expected_py: None,                                             name: "literal['obj']",                                         },                                     ),                                 },                             ),                         ),                         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: "obj",     }, ), definitions=[Model(ModelSerializer { class: Py(0x5568ffa9c430), serializer: Fields(GeneralFieldsSerializer { fields: {"direction": SerField { key_py: Py(0x7f0cee0b2af0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "axis": SerField { key_py: Py(0x7f0ceda74c60), 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" }), Enum(EnumSerializer { class: Py(0x5568ff982ca0), serializer: Some(Str(StrSerializer)) }), Enum(EnumSerializer { class: Py(0x5568ffa9ba30), serializer: Some(Str(StrSerializer)) })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="obj", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "coords",                         lookup_key: Simple {                             key: "coords",                             py_key: Py(                                 0x00007f0cdc885830,                             ),                             path: LookupPath(                                 [                                     S(                                         "coords",                                         Py(                                             0x00007f0cdc885860,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ceda713e0,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "forward",                                                 lookup_key: Simple {                                                     key: "forward",                                                     py_key: Py(                                                         0x00007f0cdc885770,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "forward",                                                                 Py(                                                                     0x00007f0cdc8857a0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cdef36eb0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "up",                                                 lookup_key: Simple {                                                     key: "up",                                                     py_key: Py(                                                         0x00007f0cdc8857d0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "up",                                                                 Py(                                                                     0x00007f0cdc885800,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cee0630f0,                                                 ),                                                 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(                                     0x00005568ffa9ecf0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "System",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f0cdc885950,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdc885920,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cef43ad28,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "obj": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f0cef43ad28,                                                 ),                                             ],                                         },                                         expected_repr: "'obj'",                                         name: "literal['obj']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['obj']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "units",                         lookup_key: Simple {                             key: "units",                             py_key: Py(                                 0x00007f0cdc8858f0,                             ),                             path: LookupPath(                                 [                                     S(                                         "units",                                         Py(                                             0x00007f0cdc885b00,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cee2198f0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ffaa8630,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "yd": 5,                                             "m": 3,                                             "in": 2,                                             "cm": 0,                                             "ft": 1,                                             "mm": 4,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7ddc70,                                         ),                                         Py(                                             0x00007f0cdc7de210,                                         ),                                         Py(                                             0x00007f0cdc7de1b0,                                         ),                                         Py(                                             0x00007f0cdc7de2d0,                                         ),                                         Py(                                             0x00007f0cdc7de330,                                         ),                                         Py(                                             0x00007f0cdc7de3f0,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'",                                 strict: false,                                 class_repr: "UnitLength",                                 name: "str-enum[UnitLength]",                             },                         ),                         frozen: false,                     },                 ],                 model_name: "obj",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ffbd45f0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "obj",     }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ffa9ba30), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"positive": 0, "negative": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7de030), Py(0x7f0cdc7de090)] }, 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(0x7f0cdc8841b0), path: LookupPath([S("axis", Py(0x7f0cdc885710))]) }, name_py: Py(0x7f0ceda74c60), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7f0cdc926270), path: LookupPath([S("direction", Py(0x7f0cdc9262b0))]) }, name_py: Py(0x7f0cee0b2af0), 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(0x5568ffa9c430), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "AxisDirectionPair" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ff982ca0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"z": 1, "y": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7ddeb0), Py(0x7f0cdc7ddf10)] }, missing: None, expected_repr: "'y' or 'z'", strict: false, class_repr: "Axis", name: "str-enum[Axis]" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, coords: kittycad.models.system.System, type: Literal['obj'] = 'obj', units: kittycad.models.unit_length.UnitLength) -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

coords: System

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'coords': FieldInfo(annotation=System, required=True), 'type': FieldInfo(annotation=Literal['obj'], required=False, default='obj'), 'units': FieldInfo(annotation=UnitLength, required=True)}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

type: Literal['obj']

units: UnitLength

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.output_format.ply(**data)

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.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'storage': <enum 'PlyStorage'>, 'type': typing.Literal['ply'], 'units': <enum 'UnitLength'>}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:93909453122720', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:93909454273072', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:93909453122720', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:93909454273072', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.output_format.ply'>, 'config': {'title': 'ply'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.ply'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.ply'>>]}, 'ref': 'kittycad.models.output_format.ply:93909455572352', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:93909454286064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'selection': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693216251680]", 'root_model': True, 'schema': {'choices': {'default_scene': {'cls': <class 'kittycad.models.selection.default_scene'>, 'config': {'title': 'default_scene'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.default_scene'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.default_scene'>>]}, 'ref': 'kittycad.models.selection.default_scene:93909455528560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_scene', 'schema': {'expected': ['default_scene'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_scene', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_index': {'cls': <class 'kittycad.models.selection.mesh_by_index'>, 'config': {'title': 'mesh_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_index'>>]}, 'ref': 'kittycad.models.selection.mesh_by_index:93909453065600', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mesh_by_index', 'schema': {'expected': ['mesh_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_index', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_name': {'cls': <class 'kittycad.models.selection.mesh_by_name'>, 'config': {'title': 'mesh_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_name'>>]}, 'ref': 'kittycad.models.selection.mesh_by_name:93909453076000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mesh_by_name', 'schema': {'expected': ['mesh_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_name', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_index': {'cls': <class 'kittycad.models.selection.scene_by_index'>, 'config': {'title': 'scene_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_index'>>]}, 'ref': 'kittycad.models.selection.scene_by_index:93909455533280', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'scene_by_index', 'schema': {'expected': ['scene_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_index', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_name': {'cls': <class 'kittycad.models.selection.scene_by_name'>, 'config': {'title': 'scene_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_name'>>]}, 'ref': 'kittycad.models.selection.scene_by_name:93909453058704', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'scene_by_name', 'schema': {'expected': ['scene_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_name', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'model-field'}, 'storage': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'PlyStorage'>, 'members': [PlyStorage.ASCII, PlyStorage.BINARY_LITTLE_ENDIAN, PlyStorage.BINARY_BIG_ENDIAN], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ply_storage.PlyStorage:93909453050848', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'ply', 'schema': {'expected': ['ply'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:93909454325296', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'ply', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

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

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ffbd8d80,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "storage": SerField {                         key_py: Py(                             0x00007f0ce004adf0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ff9713e0,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "selection": SerField {                         key_py: Py(                             0x00007f0cdca04230,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ff979a40,                                     ),                                     serializer: Union(                                         UnionSerializer {                                             choices: [                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ffbce270,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc79d1f0,                                                                                         ),                                                                                     ),                                                                                     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: "default_scene",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ffbcf4e0,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "index": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Int(                                                                                 IntSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc79ffb0,                                                                                         ),                                                                                     ),                                                                                     serializer: Literal(                                                                                         LiteralSerializer {                                                                                             expected_int: {},                                                                                             expected_str: {                                                                                                 "scene_by_index",                                                                                             },                                                                                             expected_py: None,                                                                                             name: "literal['scene_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: "scene_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff973290,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc799170,                                                                                         ),                                                                                     ),                                                                                     serializer: Literal(                                                                                         LiteralSerializer {                                                                                             expected_int: {},                                                                                             expected_str: {                                                                                                 "scene_by_name",                                                                                             },                                                                                             expected_py: None,                                                                                             name: "literal['scene_by_name']",                                                                                         },                                                                                     ),                                                                                 },                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "name": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Str(                                                                                 StrSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                 },                                                                 computed_fields: Some(                                                                     ComputedFields(                                                                         [],                                                                     ),                                                                 ),                                                                 mode: SimpleDict,                                                                 extra_serializer: None,                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 required_fields: 2,                                                             },                                                         ),                                                         has_extra: false,                                                         root_model: false,                                                         name: "scene_by_name",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff974d80,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "index": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Int(                                                                                 IntSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc799070,                                                                                         ),                                                                                     ),                                                                                     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: "mesh_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff977620,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc798370,                                                                                         ),                                                                                     ),                                                                                     serializer: Literal(                                                                                         LiteralSerializer {                                                                                             expected_int: {},                                                                                             expected_str: {                                                                                                 "mesh_by_name",                                                                                             },                                                                                             expected_py: None,                                                                                             name: "literal['mesh_by_name']",                                                                                         },                                                                                     ),                                                                                 },                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "name": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Str(                                                                                 StrSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                 },                                                                 computed_fields: Some(                                                                     ComputedFields(                                                                         [],                                                                     ),                                                                 ),                                                                 mode: SimpleDict,                                                                 extra_serializer: None,                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 required_fields: 2,                                                             },                                                         ),                                                         has_extra: false,                                                         root_model: false,                                                         name: "mesh_by_name",                                                     },                                                 ),                                             ],                                             name: "Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name]",                                         },                                     ),                                     has_extra: false,                                     root_model: true,                                     name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]",                                 },                             ),                         ),                         required: true,                     },                     "type": SerField {                         key_py: Py(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cdcb7bbd0,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "ply",                                             },                                             expected_py: None,                                             name: "literal['ply']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "units": SerField {                         key_py: Py(                             0x00007f0cee2198f0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ffaa8630,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "coords": SerField {                         key_py: Py(                             0x00007f0ceda713e0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ffa9ecf0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "forward": SerField {                                                     key_py: Py(                                                         0x00007f0cdef36eb0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "up": SerField {                                                     key_py: Py(                                                         0x00007f0cee0630f0,                                                     ),                                                     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,                     },                 },                 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: "ply",     }, ), definitions=[Enum(EnumSerializer { class: Py(0x5568ffa9ba30), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x5568ffa9c430), serializer: Fields(GeneralFieldsSerializer { fields: {"axis": SerField { key_py: Py(0x7f0ceda74c60), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "direction": SerField { key_py: Py(0x7f0cee0b2af0), 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" }), Enum(EnumSerializer { class: Py(0x5568ff982ca0), serializer: Some(Str(StrSerializer)) })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="ply", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "coords",                         lookup_key: Simple {                             key: "coords",                             py_key: Py(                                 0x00007f0cdc882460,                             ),                             path: LookupPath(                                 [                                     S(                                         "coords",                                         Py(                                             0x00007f0cdc882760,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ceda713e0,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "forward",                                                 lookup_key: Simple {                                                     key: "forward",                                                     py_key: Py(                                                         0x00007f0cdcbf1b90,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "forward",                                                                 Py(                                                                     0x00007f0cdc883ea0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cdef36eb0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "up",                                                 lookup_key: Simple {                                                     key: "up",                                                     py_key: Py(                                                         0x00007f0cdc883ed0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "up",                                                                 Py(                                                                     0x00007f0cdc8825b0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cee0630f0,                                                 ),                                                 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(                                     0x00005568ffa9ecf0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "System",                             },                         ),                         frozen: false,                     },                     Field {                         name: "selection",                         lookup_key: Simple {                             key: "selection",                             py_key: Py(                                 0x00007f0cdc926bf0,                             ),                             path: LookupPath(                                 [                                     S(                                         "selection",                                         Py(                                             0x00007f0cdc9257f0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cdca04230,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: TaggedUnion(                                     TaggedUnionValidator {                                         discriminator: LookupKey(                                             Simple {                                                 key: "type",                                                 py_key: Py(                                                     0x00007f0cef43cbf8,                                                 ),                                                 path: LookupPath(                                                     [                                                         S(                                                             "type",                                                             Py(                                                                 0x00007f0cef43cbf8,                                                             ),                                                         ),                                                     ],                                                 ),                                             },                                         ),                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "scene_by_index": 1,                                                     "mesh_by_name": 4,                                                     "default_scene": 0,                                                     "scene_by_name": 2,                                                     "mesh_by_index": 3,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc882610,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc882670,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc79d1f0,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc79d1f0,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'default_scene'",                                                                                         name: "literal['default_scene']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['default_scene']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "default_scene",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ffbce270,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "default_scene",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "index",                                                                         lookup_key: Simple {                                                                             key: "index",                                                                             py_key: Py(                                                                                 0x00007f0cdc882c40,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "index",                                                                                         Py(                                                                                             0x00007f0cdc882730,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         validator: Int(                                                                             IntValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc882520,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc887900,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc79ffb0,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc79ffb0,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'scene_by_index'",                                                                                         name: "literal['scene_by_index']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['scene_by_index']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "scene_by_index",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ffbcf4e0,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "scene_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "name",                                                                         lookup_key: Simple {                                                                             key: "name",                                                                             py_key: Py(                                                                                 0x00007f0cdc887ab0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "name",                                                                                         Py(                                                                                             0x00007f0cdc8878a0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         validator: Str(                                                                             StrValidator {                                                                                 strict: false,                                                                                 coerce_numbers_to_str: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc887750,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc8876c0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc799170,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc799170,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'scene_by_name'",                                                                                         name: "literal['scene_by_name']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['scene_by_name']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "scene_by_name",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff973290,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "scene_by_name",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "index",                                                                         lookup_key: Simple {                                                                             key: "index",                                                                             py_key: Py(                                                                                 0x00007f0cdc887a50,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "index",                                                                                         Py(                                                                                             0x00007f0cdc887540,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         validator: Int(                                                                             IntValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc8875a0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc887570,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc799070,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc799070,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'mesh_by_index'",                                                                                         name: "literal['mesh_by_index']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['mesh_by_index']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "mesh_by_index",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff974d80,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "mesh_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "name",                                                                         lookup_key: Simple {                                                                             key: "name",                                                                             py_key: Py(                                                                                 0x00007f0cdc8876f0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "name",                                                                                         Py(                                                                                             0x00007f0cdc887690,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         validator: Str(                                                                             StrValidator {                                                                                 strict: false,                                                                                 coerce_numbers_to_str: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc887630,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc887600,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc798370,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc798370,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'mesh_by_name'",                                                                                         name: "literal['mesh_by_name']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['mesh_by_name']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "mesh_by_name",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff977620,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "mesh_by_name",                                                     },                                                 ),                                             ],                                         },                                         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[default_scene,scene_by_index,scene_by_name,mesh_by_index,mesh_by_name]",                                     },                                 ),                                 class: Py(                                     0x00005568ff979a40,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: true,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "storage",                         lookup_key: Simple {                             key: "storage",                             py_key: Py(                                 0x00007f0cdc887660,                             ),                             path: LookupPath(                                 [                                     S(                                         "storage",                                         Py(                                             0x00007f0cdc884180,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ce004adf0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ff9713e0,                                 ),                                 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,                                     values: [                                         Py(                                             0x00007f0cdc7df290,                                         ),                                         Py(                                             0x00007f0cdc7df2f0,                                         ),                                         Py(                                             0x00007f0cdc7df350,                                         ),                                     ],                                 },                                 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(                                 0x00007f0cdc885680,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdc8843c0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cdcb7bbd0,                                     ),                                 ),                                 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,                                             values: [                                                 Py(                                                     0x00007f0cdcb7bbd0,                                                 ),                                             ],                                         },                                         expected_repr: "'ply'",                                         name: "literal['ply']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['ply']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "units",                         lookup_key: Simple {                             key: "units",                             py_key: Py(                                 0x00007f0cdc884300,                             ),                             path: LookupPath(                                 [                                     S(                                         "units",                                         Py(                                             0x00007f0cdc884c60,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cee2198f0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ffaa8630,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "ft": 1,                                             "yd": 5,                                             "m": 3,                                             "cm": 0,                                             "in": 2,                                             "mm": 4,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7ddc70,                                         ),                                         Py(                                             0x00007f0cdc7de210,                                         ),                                         Py(                                             0x00007f0cdc7de1b0,                                         ),                                         Py(                                             0x00007f0cdc7de2d0,                                         ),                                         Py(                                             0x00007f0cdc7de330,                                         ),                                         Py(                                             0x00007f0cdc7de3f0,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'",                                 strict: false,                                 class_repr: "UnitLength",                                 name: "str-enum[UnitLength]",                             },                         ),                         frozen: false,                     },                 ],                 model_name: "ply",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ffbd8d80,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "ply",     }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ffa9ba30), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"negative": 1, "positive": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7de030), Py(0x7f0cdc7de090)] }, missing: None, expected_repr: "'positive' or 'negative'", strict: false, class_repr: "Direction", name: "str-enum[Direction]" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ff982ca0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"y": 0, "z": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7ddeb0), Py(0x7f0cdc7ddf10)] }, missing: None, expected_repr: "'y' or 'z'", strict: false, class_repr: "Axis", name: "str-enum[Axis]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7f0cdcb778d0), path: LookupPath([S("axis", Py(0x7f0cdcb77870))]) }, name_py: Py(0x7f0ceda74c60), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7f0cdc7c7370), path: LookupPath([S("direction", Py(0x7f0cdc925470))]) }, name_py: Py(0x7f0cee0b2af0), 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(0x5568ffa9c430), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "AxisDirectionPair" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, coords: kittycad.models.system.System, selection: pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], storage: kittycad.models.ply_storage.PlyStorage, type: Literal['ply'] = 'ply', units: kittycad.models.unit_length.UnitLength) -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

coords: System

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'coords': FieldInfo(annotation=System, required=True), 'selection': FieldInfo(annotation=RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], 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)}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

selection: RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]

storage: PlyStorage

type: Literal['ply']

units: UnitLength

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.output_format.step(**data)

ISO 10303-21 (STEP) 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.

__abstractmethods__ = frozenset({})

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

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:93909453122720', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:93909454273072', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:93909453122720', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:93909454273072', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.output_format.step'>, 'config': {'title': 'step'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.step'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.step'>>]}, 'ref': 'kittycad.models.output_format.step:93909457020704', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:93909454286064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'step', 'schema': {'expected': ['step'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'step', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

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

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ffd3a720,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "type": SerField {                         key_py: Py(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cef43c468,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "step",                                             },                                             expected_py: None,                                             name: "literal['step']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "coords": SerField {                         key_py: Py(                             0x00007f0ceda713e0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ffa9ecf0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "forward": SerField {                                                     key_py: Py(                                                         0x00007f0cdef36eb0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "up": SerField {                                                     key_py: Py(                                                         0x00007f0cee0630f0,                                                     ),                                                     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,                     },                 },                 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: "step",     }, ), definitions=[Enum(EnumSerializer { class: Py(0x5568ff982ca0), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x5568ffa9c430), serializer: Fields(GeneralFieldsSerializer { fields: {"axis": SerField { key_py: Py(0x7f0ceda74c60), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "direction": SerField { key_py: Py(0x7f0cee0b2af0), 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" }), Enum(EnumSerializer { class: Py(0x5568ffa9ba30), serializer: Some(Str(StrSerializer)) })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="step", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "coords",                         lookup_key: Simple {                             key: "coords",                             py_key: Py(                                 0x00007f0cdc889c50,                             ),                             path: LookupPath(                                 [                                     S(                                         "coords",                                         Py(                                             0x00007f0cdc889c80,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ceda713e0,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "forward",                                                 lookup_key: Simple {                                                     key: "forward",                                                     py_key: Py(                                                         0x00007f0cdc889b60,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "forward",                                                                 Py(                                                                     0x00007f0cdc889bc0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cdef36eb0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "up",                                                 lookup_key: Simple {                                                     key: "up",                                                     py_key: Py(                                                         0x00007f0cdc8898c0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "up",                                                                 Py(                                                                     0x00007f0cdc889bf0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cee0630f0,                                                 ),                                                 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(                                     0x00005568ffa9ecf0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "System",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f0cdc889ce0,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdc889d10,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cef43c468,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "step": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f0cef43c468,                                                 ),                                             ],                                         },                                         expected_repr: "'step'",                                         name: "literal['step']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['step']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                 ],                 model_name: "step",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ffd3a720,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "step",     }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ff982ca0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"y": 0, "z": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7ddeb0), Py(0x7f0cdc7ddf10)] }, 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(0x5568ffa9ba30), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"positive": 0, "negative": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7de030), Py(0x7f0cdc7de090)] }, 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(0x7f0cdc889b00), path: LookupPath([S("axis", Py(0x7f0cdc889b30))]) }, name_py: Py(0x7f0ceda74c60), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7f0cdc8e4470), path: LookupPath([S("direction", Py(0x7f0cdc8e53b0))]) }, name_py: Py(0x7f0cee0b2af0), 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(0x5568ffa9c430), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "AxisDirectionPair" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, coords: kittycad.models.system.System, type: Literal['step'] = 'step') -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

coords: System

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'coords': FieldInfo(annotation=System, required=True), 'type': FieldInfo(annotation=Literal['step'], required=False, default='step')}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

type: Literal['step']

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self

class kittycad.models.output_format.stl(**data)

*ST**ereo**L**ithography 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.

__abstractmethods__ = frozenset({})

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'storage': <enum 'StlStorage'>, 'type': typing.Literal['stl'], 'units': <enum 'UnitLength'>}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

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

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

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

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

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

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

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

__module__ = 'kittycad.models.output_format'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

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

__pydantic_complete__: ClassVar[bool] = True

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:93909453122720', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:93909454273072', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:93909453122720', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:93909454273072', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.output_format.stl'>, 'config': {'title': 'stl'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.output_format.stl'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.stl'>>]}, 'ref': 'kittycad.models.output_format.stl:93909457036288', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:93909454286064', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93909454275632', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}, 'selection': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693216251680]", 'root_model': True, 'schema': {'choices': {'default_scene': {'cls': <class 'kittycad.models.selection.default_scene'>, 'config': {'title': 'default_scene'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.default_scene'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.default_scene'>>]}, 'ref': 'kittycad.models.selection.default_scene:93909455528560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_scene', 'schema': {'expected': ['default_scene'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_scene', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_index': {'cls': <class 'kittycad.models.selection.mesh_by_index'>, 'config': {'title': 'mesh_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_index'>>]}, 'ref': 'kittycad.models.selection.mesh_by_index:93909453065600', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mesh_by_index', 'schema': {'expected': ['mesh_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_index', 'type': 'model-fields'}, 'type': 'model'}, 'mesh_by_name': {'cls': <class 'kittycad.models.selection.mesh_by_name'>, 'config': {'title': 'mesh_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_name'>>]}, 'ref': 'kittycad.models.selection.mesh_by_name:93909453076000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mesh_by_name', 'schema': {'expected': ['mesh_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_name', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_index': {'cls': <class 'kittycad.models.selection.scene_by_index'>, 'config': {'title': 'scene_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_index'>>]}, 'ref': 'kittycad.models.selection.scene_by_index:93909455533280', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'scene_by_index', 'schema': {'expected': ['scene_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_index', 'type': 'model-fields'}, 'type': 'model'}, 'scene_by_name': {'cls': <class 'kittycad.models.selection.scene_by_name'>, 'config': {'title': 'scene_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_name'>>]}, 'ref': 'kittycad.models.selection.scene_by_name:93909453058704', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'scene_by_name', 'schema': {'expected': ['scene_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_name', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'model-field'}, 'storage': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'StlStorage'>, 'members': [StlStorage.ASCII, StlStorage.BINARY], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.stl_storage.StlStorage:93909453112432', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'stl', 'schema': {'expected': ['stl'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:93909454325296', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}}, 'model_name': 'stl', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

__pydantic_custom_init__: ClassVar[bool] = False

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

__pydantic_extra__: dict[str, Any] | None

__pydantic_fields_set__: set[str]

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

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

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

Return type:

None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FbxStorage': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GltfPresentation': <pydantic._internal._model_construction._PydanticWeakRef object>, 'GltfStorage': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PlyStorage': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Selection': <pydantic._internal._model_construction._PydanticWeakRef object>, 'StlStorage': <pydantic._internal._model_construction._PydanticWeakRef object>, 'System': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitLength': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved.  Copyright (c) 2000 BeOpen.com. All Rights Reserved.  Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved.  Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits':     Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands     for supporting Python development.  See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/output_format.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/output_format.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.output_format', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'fbx': <pydantic._internal._model_construction._PydanticWeakRef object>, 'gltf': <pydantic._internal._model_construction._PydanticWeakRef object>, 'obj': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ply': <pydantic._internal._model_construction._PydanticWeakRef object>, 'step': <pydantic._internal._model_construction._PydanticWeakRef object>}

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

__pydantic_private__: dict[str, Any] | None

__pydantic_root_model__: ClassVar[bool] = False

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x00005568ffd3e400,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "coords": SerField {                         key_py: Py(                             0x00007f0ceda713e0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ffa9ecf0,                                     ),                                     serializer: Fields(                                         GeneralFieldsSerializer {                                             fields: {                                                 "forward": SerField {                                                     key_py: Py(                                                         0x00007f0cdef36eb0,                                                     ),                                                     alias: None,                                                     alias_py: None,                                                     serializer: Some(                                                         Recursive(                                                             DefinitionRefSerializer {                                                                 definition: "...",                                                                 retry_with_lax_check: true,                                                             },                                                         ),                                                     ),                                                     required: true,                                                 },                                                 "up": SerField {                                                     key_py: Py(                                                         0x00007f0cee0630f0,                                                     ),                                                     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(                             0x00007f0cef43cbf8,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007f0cdcb7bd80,                                         ),                                     ),                                     serializer: Literal(                                         LiteralSerializer {                                             expected_int: {},                                             expected_str: {                                                 "stl",                                             },                                             expected_py: None,                                             name: "literal['stl']",                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "selection": SerField {                         key_py: Py(                             0x00007f0cdca04230,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Model(                                 ModelSerializer {                                     class: Py(                                         0x00005568ff979a40,                                     ),                                     serializer: Union(                                         UnionSerializer {                                             choices: [                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ffbce270,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc79d1f0,                                                                                         ),                                                                                     ),                                                                                     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: "default_scene",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ffbcf4e0,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc79ffb0,                                                                                         ),                                                                                     ),                                                                                     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(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         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: "scene_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff973290,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "name": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Str(                                                                                 StrSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc799170,                                                                                         ),                                                                                     ),                                                                                     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: "scene_by_name",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff974d80,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc799070,                                                                                         ),                                                                                     ),                                                                                     serializer: Literal(                                                                                         LiteralSerializer {                                                                                             expected_int: {},                                                                                             expected_str: {                                                                                                 "mesh_by_index",                                                                                             },                                                                                             expected_py: None,                                                                                             name: "literal['mesh_by_index']",                                                                                         },                                                                                     ),                                                                                 },                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "index": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         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: "mesh_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelSerializer {                                                         class: Py(                                                             0x00005568ff977620,                                                         ),                                                         serializer: Fields(                                                             GeneralFieldsSerializer {                                                                 fields: {                                                                     "type": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             WithDefault(                                                                                 WithDefaultSerializer {                                                                                     default: Default(                                                                                         Py(                                                                                             0x00007f0cdc798370,                                                                                         ),                                                                                     ),                                                                                     serializer: Literal(                                                                                         LiteralSerializer {                                                                                             expected_int: {},                                                                                             expected_str: {                                                                                                 "mesh_by_name",                                                                                             },                                                                                             expected_py: None,                                                                                             name: "literal['mesh_by_name']",                                                                                         },                                                                                     ),                                                                                 },                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                     "name": SerField {                                                                         key_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         alias: None,                                                                         alias_py: None,                                                                         serializer: Some(                                                                             Str(                                                                                 StrSerializer,                                                                             ),                                                                         ),                                                                         required: true,                                                                     },                                                                 },                                                                 computed_fields: Some(                                                                     ComputedFields(                                                                         [],                                                                     ),                                                                 ),                                                                 mode: SimpleDict,                                                                 extra_serializer: None,                                                                 filter: SchemaFilter {                                                                     include: None,                                                                     exclude: None,                                                                 },                                                                 required_fields: 2,                                                             },                                                         ),                                                         has_extra: false,                                                         root_model: false,                                                         name: "mesh_by_name",                                                     },                                                 ),                                             ],                                             name: "Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name]",                                         },                                     ),                                     has_extra: false,                                     root_model: true,                                     name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]",                                 },                             ),                         ),                         required: true,                     },                     "storage": SerField {                         key_py: Py(                             0x00007f0ce004adf0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ff980470,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "units": SerField {                         key_py: Py(                             0x00007f0cee2198f0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x00005568ffaa8630,                                     ),                                     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: "stl",     }, ), definitions=[Enum(EnumSerializer { class: Py(0x5568ffa9ba30), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x5568ffa9c430), serializer: Fields(GeneralFieldsSerializer { fields: {"direction": SerField { key_py: Py(0x7f0cee0b2af0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "axis": SerField { key_py: Py(0x7f0ceda74c60), 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" }), Enum(EnumSerializer { class: Py(0x5568ff982ca0), serializer: Some(Str(StrSerializer)) })])

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="stl", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "coords",                         lookup_key: Simple {                             key: "coords",                             py_key: Py(                                 0x00007f0cdc88b5d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "coords",                                         Py(                                             0x00007f0cdc88b600,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ceda713e0,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: ModelFields(                                     ModelFieldsValidator {                                         fields: [                                             Field {                                                 name: "forward",                                                 lookup_key: Simple {                                                     key: "forward",                                                     py_key: Py(                                                         0x00007f0cdc88b720,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "forward",                                                                 Py(                                                                     0x00007f0cdc88b810,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cdef36eb0,                                                 ),                                                 validator: DefinitionRef(                                                     DefinitionRefValidator {                                                         definition: "...",                                                     },                                                 ),                                                 frozen: false,                                             },                                             Field {                                                 name: "up",                                                 lookup_key: Simple {                                                     key: "up",                                                     py_key: Py(                                                         0x00007f0cdc88b5a0,                                                     ),                                                     path: LookupPath(                                                         [                                                             S(                                                                 "up",                                                                 Py(                                                                     0x00007f0cdc88a6a0,                                                                 ),                                                             ),                                                         ],                                                     ),                                                 },                                                 name_py: Py(                                                     0x00007f0cee0630f0,                                                 ),                                                 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(                                     0x00005568ffa9ecf0,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: false,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "System",                             },                         ),                         frozen: false,                     },                     Field {                         name: "selection",                         lookup_key: Simple {                             key: "selection",                             py_key: Py(                                 0x00007f0cdc809030,                             ),                             path: LookupPath(                                 [                                     S(                                         "selection",                                         Py(                                             0x00007f0cdc808ef0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cdca04230,                         ),                         validator: Model(                             ModelValidator {                                 revalidate: Never,                                 validator: TaggedUnion(                                     TaggedUnionValidator {                                         discriminator: LookupKey(                                             Simple {                                                 key: "type",                                                 py_key: Py(                                                     0x00007f0cef43cbf8,                                                 ),                                                 path: LookupPath(                                                     [                                                         S(                                                             "type",                                                             Py(                                                                 0x00007f0cef43cbf8,                                                             ),                                                         ),                                                     ],                                                 ),                                             },                                         ),                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "mesh_by_name": 4,                                                     "scene_by_index": 1,                                                     "mesh_by_index": 3,                                                     "scene_by_name": 2,                                                     "default_scene": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc88b7e0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc88b750,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc79d1f0,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc79d1f0,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'default_scene'",                                                                                         name: "literal['default_scene']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['default_scene']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "default_scene",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ffbce270,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "default_scene",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "index",                                                                         lookup_key: Simple {                                                                             key: "index",                                                                             py_key: Py(                                                                                 0x00007f0cdc88b690,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "index",                                                                                         Py(                                                                                             0x00007f0cdc88b8a0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         validator: Int(                                                                             IntValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc88b7b0,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc88b930,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc79ffb0,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc79ffb0,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'scene_by_index'",                                                                                         name: "literal['scene_by_index']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['scene_by_index']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "scene_by_index",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ffbcf4e0,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "scene_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "name",                                                                         lookup_key: Simple {                                                                             key: "name",                                                                             py_key: Py(                                                                                 0x00007f0cdc88b660,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "name",                                                                                         Py(                                                                                             0x00007f0cdc88b6c0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         validator: Str(                                                                             StrValidator {                                                                                 strict: false,                                                                                 coerce_numbers_to_str: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc88b630,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc888060,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc799170,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc799170,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'scene_by_name'",                                                                                         name: "literal['scene_by_name']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['scene_by_name']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "scene_by_name",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff973290,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "scene_by_name",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "index",                                                                         lookup_key: Simple {                                                                             key: "index",                                                                             py_key: Py(                                                                                 0x00007f0cdc888090,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "index",                                                                                         Py(                                                                                             0x00007f0cdc8880c0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef3fae20,                                                                         ),                                                                         validator: Int(                                                                             IntValidator {                                                                                 strict: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc888030,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc8880f0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc799070,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc799070,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'mesh_by_index'",                                                                                         name: "literal['mesh_by_index']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['mesh_by_index']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "mesh_by_index",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff974d80,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "mesh_by_index",                                                     },                                                 ),                                                 Model(                                                     ModelValidator {                                                         revalidate: Never,                                                         validator: ModelFields(                                                             ModelFieldsValidator {                                                                 fields: [                                                                     Field {                                                                         name: "name",                                                                         lookup_key: Simple {                                                                             key: "name",                                                                             py_key: Py(                                                                                 0x00007f0cdc888120,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "name",                                                                                         Py(                                                                                             0x00007f0cdc888150,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43a950,                                                                         ),                                                                         validator: Str(                                                                             StrValidator {                                                                                 strict: false,                                                                                 coerce_numbers_to_str: false,                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                     Field {                                                                         name: "type",                                                                         lookup_key: Simple {                                                                             key: "type",                                                                             py_key: Py(                                                                                 0x00007f0cdc888180,                                                                             ),                                                                             path: LookupPath(                                                                                 [                                                                                     S(                                                                                         "type",                                                                                         Py(                                                                                             0x00007f0cdc8881b0,                                                                                         ),                                                                                     ),                                                                                 ],                                                                             ),                                                                         },                                                                         name_py: Py(                                                                             0x00007f0cef43cbf8,                                                                         ),                                                                         validator: WithDefault(                                                                             WithDefaultValidator {                                                                                 default: Default(                                                                                     Py(                                                                                         0x00007f0cdc798370,                                                                                     ),                                                                                 ),                                                                                 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,                                                                                             values: [                                                                                                 Py(                                                                                                     0x00007f0cdc798370,                                                                                                 ),                                                                                             ],                                                                                         },                                                                                         expected_repr: "'mesh_by_name'",                                                                                         name: "literal['mesh_by_name']",                                                                                     },                                                                                 ),                                                                                 validate_default: false,                                                                                 copy_default: false,                                                                                 name: "default[literal['mesh_by_name']]",                                                                                 undefined: Py(                                                                                     0x00007f0cde289e70,                                                                                 ),                                                                             },                                                                         ),                                                                         frozen: false,                                                                     },                                                                 ],                                                                 model_name: "mesh_by_name",                                                                 extra_behavior: Ignore,                                                                 extras_validator: None,                                                                 strict: false,                                                                 from_attributes: false,                                                                 loc_by_alias: true,                                                             },                                                         ),                                                         class: Py(                                                             0x00005568ff977620,                                                         ),                                                         post_init: None,                                                         frozen: false,                                                         custom_init: false,                                                         root_model: false,                                                         undefined: Py(                                                             0x00007f0cde289e70,                                                         ),                                                         name: "mesh_by_name",                                                     },                                                 ),                                             ],                                         },                                         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[default_scene,scene_by_index,scene_by_name,mesh_by_index,mesh_by_name]",                                     },                                 ),                                 class: Py(                                     0x00005568ff979a40,                                 ),                                 post_init: None,                                 frozen: false,                                 custom_init: false,                                 root_model: true,                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                                 name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "storage",                         lookup_key: Simple {                             key: "storage",                             py_key: Py(                                 0x00007f0cdc8881e0,                             ),                             path: LookupPath(                                 [                                     S(                                         "storage",                                         Py(                                             0x00007f0cdc888210,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0ce004adf0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ff980470,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "binary": 1,                                             "ascii": 0,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7dfa70,                                         ),                                         Py(                                             0x00007f0cdc7dfad0,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'ascii' or 'binary'",                                 strict: false,                                 class_repr: "StlStorage",                                 name: "str-enum[StlStorage]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "type",                         lookup_key: Simple {                             key: "type",                             py_key: Py(                                 0x00007f0cdc888240,                             ),                             path: LookupPath(                                 [                                     S(                                         "type",                                         Py(                                             0x00007f0cdc888270,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cef43cbf8,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007f0cdcb7bd80,                                     ),                                 ),                                 on_error: Raise,                                 validator: Literal(                                     LiteralValidator {                                         lookup: LiteralLookup {                                             expected_bool: None,                                             expected_int: None,                                             expected_str: Some(                                                 {                                                     "stl": 0,                                                 },                                             ),                                             expected_py_dict: None,                                             expected_py_values: None,                                             values: [                                                 Py(                                                     0x00007f0cdcb7bd80,                                                 ),                                             ],                                         },                                         expected_repr: "'stl'",                                         name: "literal['stl']",                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[literal['stl']]",                                 undefined: Py(                                     0x00007f0cde289e70,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "units",                         lookup_key: Simple {                             key: "units",                             py_key: Py(                                 0x00007f0cdc8882a0,                             ),                             path: LookupPath(                                 [                                     S(                                         "units",                                         Py(                                             0x00007f0cdc8882d0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007f0cee2198f0,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x00005568ffaa8630,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "in": 2,                                             "ft": 1,                                             "m": 3,                                             "yd": 5,                                             "mm": 4,                                             "cm": 0,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007f0cdc7ddc70,                                         ),                                         Py(                                             0x00007f0cdc7de210,                                         ),                                         Py(                                             0x00007f0cdc7de1b0,                                         ),                                         Py(                                             0x00007f0cdc7de2d0,                                         ),                                         Py(                                             0x00007f0cdc7de330,                                         ),                                         Py(                                             0x00007f0cdc7de3f0,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'",                                 strict: false,                                 class_repr: "UnitLength",                                 name: "str-enum[UnitLength]",                             },                         ),                         frozen: false,                     },                 ],                 model_name: "stl",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x00005568ffd3e400,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007f0cde289e70,         ),         name: "stl",     }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7f0cdc88b4b0), path: LookupPath([S("axis", Py(0x7f0cdc88b870))]) }, name_py: Py(0x7f0ceda74c60), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7f0cdc808f30), path: LookupPath([S("direction", Py(0x7f0cdc808f70))]) }, name_py: Py(0x7f0cee0b2af0), 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(0x5568ffa9c430), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "AxisDirectionPair" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ff982ca0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"y": 0, "z": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7ddeb0), Py(0x7f0cdc7ddf10)] }, 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(0x5568ffa9ba30), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"positive": 0, "negative": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc7de030), Py(0x7f0cdc7de090)] }, missing: None, expected_repr: "'positive' or 'negative'", strict: false, class_repr: "Direction", name: "str-enum[Direction]" })], cache_strings=True)

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

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

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

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

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, coords: kittycad.models.system.System, selection: pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], storage: kittycad.models.stl_storage.StlStorage, type: Literal['stl'] = 'stl', units: kittycad.models.unit_length.UnitLength) -> None>

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

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

classmethod construct(_fields_set=None, **values)

Return type:

Self

coords: System

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

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

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

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

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

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

Returns:

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

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

Return type:

Dict[str, Any]

classmethod from_orm(obj)

Return type:

Self

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

Return type:

str

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

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

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

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

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

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

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

Returns a copy of the model.

Parameters:

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

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

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

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

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

Parameters:

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

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

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

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

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

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

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

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

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

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

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

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'coords': FieldInfo(annotation=System, required=True), 'selection': FieldInfo(annotation=RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'storage': FieldInfo(annotation=StlStorage, required=True), 'type': FieldInfo(annotation=Literal['stl'], required=False, default='stl'), 'units': FieldInfo(annotation=UnitLength, required=True)}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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

Returns:

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

i.e. that were not filled from defaults.

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

Generates a JSON schema for a model class.

Parameters:

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

• ref_template (str) – The reference template.

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

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

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

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

Return type:

str

Returns:

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

Raises:

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

model_post_init(_BaseModel__context)

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

Return type:

None

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

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

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

Parameters:

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

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

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

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

Return type:

Optional[bool]

Returns:

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

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

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

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

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

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

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

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

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

Validate the given JSON data against the Pydantic model.

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

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

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

Parameters:

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

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

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

Return type:

Self

Returns:

The validated Pydantic model.

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

selection: RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]

storage: StlStorage

type: Literal['stl']

units: UnitLength

classmethod update_forward_refs(**localns)

Return type:

None

classmethod validate(value)

Return type:

Self