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ðŸ“ ..
ðŸ“„ __init__.py(0 B)
ðŸ“ __pycache__
ðŸ“„ class_validators.py(9.62 KB)
ðŸ“„ config.py(2.55 KB)
ðŸ“„ copy_internals.py(7.42 KB)
ðŸ“„ decorator.py(10.65 KB)
ðŸ“„ json.py(4.36 KB)
ðŸ“„ parse.py(2.42 KB)
ðŸ“„ tools.py(3.2 KB)

Editing: tools.py

from __future__ import annotations

import json
import warnings
from typing import TYPE_CHECKING, Any, Callable, Type, TypeVar, Union

from typing_extensions import deprecated

from ..json_schema import DEFAULT_REF_TEMPLATE, GenerateJsonSchema
from ..type_adapter import TypeAdapter
from ..warnings import PydanticDeprecatedSince20

if not TYPE_CHECKING:
    # See PyCharm issues https://youtrack.jetbrains.com/issue/PY-21915
    # and https://youtrack.jetbrains.com/issue/PY-51428
    DeprecationWarning = PydanticDeprecatedSince20

__all__ = 'parse_obj_as', 'schema_of', 'schema_json_of'

NameFactory = Union[str, Callable[[Type[Any]], str]]

T = TypeVar('T')

@deprecated(
    'parse_obj_as is deprecated. Use pydantic.TypeAdapter.validate_python instead.', category=PydanticDeprecatedSince20
)
def parse_obj_as(type_: type[T], obj: Any, type_name: NameFactory | None = None) -> T:
    warnings.warn(
        'parse_obj_as is deprecated. Use pydantic.TypeAdapter.validate_python instead.',
        DeprecationWarning,
        stacklevel=2,
    )
    if type_name is not None:  # pragma: no cover
        warnings.warn(
            'The type_name parameter is deprecated. parse_obj_as no longer creates temporary models',
            DeprecationWarning,
            stacklevel=2,
        )
    return TypeAdapter(type_).validate_python(obj)

@deprecated(
    'schema_of is deprecated. Use pydantic.TypeAdapter.json_schema instead.', category=PydanticDeprecatedSince20
)
def schema_of(
    type_: Any,
    *,
    title: NameFactory | None = None,
    by_alias: bool = True,
    ref_template: str = DEFAULT_REF_TEMPLATE,
    schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
) -> dict[str, Any]:
    """Generate a JSON schema (as dict) for the passed model or dynamically generated one."""
    warnings.warn(
        'schema_of is deprecated. Use pydantic.TypeAdapter.json_schema instead.', DeprecationWarning, stacklevel=2
    )
    res = TypeAdapter(type_).json_schema(
        by_alias=by_alias,
        schema_generator=schema_generator,
        ref_template=ref_template,
    )
    if title is not None:
        if isinstance(title, str):
            res['title'] = title
        else:
            warnings.warn(
                'Passing a callable for the `title` parameter is deprecated and no longer supported',
                DeprecationWarning,
                stacklevel=2,
            )
            res['title'] = title(type_)
    return res

@deprecated(
    'schema_json_of is deprecated. Use pydantic.TypeAdapter.json_schema instead.', category=PydanticDeprecatedSince20
)
def schema_json_of(
    type_: Any,
    *,
    title: NameFactory | None = None,
    by_alias: bool = True,
    ref_template: str = DEFAULT_REF_TEMPLATE,
    schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
    **dumps_kwargs: Any,
) -> str:
    """Generate a JSON schema (as JSON) for the passed model or dynamically generated one."""
    warnings.warn(
        'schema_json_of is deprecated. Use pydantic.TypeAdapter.json_schema instead.', DeprecationWarning, stacklevel=2
    )
    return json.dumps(
        schema_of(type_, title=title, by_alias=by_alias, ref_template=ref_template, schema_generator=schema_generator),
        **dumps_kwargs,
    )

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