26230823_第15章 江芷雅的鞋交

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from __future__ import annotations

import json
import pickle
import warnings
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING, Any, Callable

from typing_extensions import deprecated

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


class Protocol(str, Enum):
    json = 'json'
    pickle = 'pickle'


@deprecated('`load_str_bytes` is deprecated.', category=None)
def load_str_bytes(
    b: str | bytes,
    *,
    content_type: str | None = None,
    encoding: str = 'utf8',
    proto: Protocol | None = None,
    allow_pickle: bool = False,
    json_loads: Callable[[str], Any] = json.loads,
) -> Any:
    warnings.warn('`load_str_bytes` is deprecated.', category=PydanticDeprecatedSince20, stacklevel=2)
    if proto is None and content_type:
        if content_type.endswith(('json', 'javascript')):
            pass
        elif allow_pickle and content_type.endswith('pickle'):
            proto = Protocol.pickle
        else:
            raise TypeError(f'Unknown content-type: {content_type}')

    proto = proto or Protocol.json

    if proto == Protocol.json:
        if isinstance(b, bytes):
            b = b.decode(encoding)
        return json_loads(b)  # type: ignore
    elif proto == Protocol.pickle:
        if not allow_pickle:
            raise RuntimeError('Trying to decode with pickle with allow_pickle=False')
        bb = b if isinstance(b, bytes) else b.encode()  # type: ignore
        return pickle.loads(bb)
    else:
        raise TypeError(f'Unknown protocol: {proto}')


@deprecated('`load_file` is deprecated.', category=None)
def load_file(
    path: str | Path,
    *,
    content_type: str | None = None,
    encoding: str = 'utf8',
    proto: Protocol | None = None,
    allow_pickle: bool = False,
    json_loads: Callable[[str], Any] = json.loads,
) -> Any:
    warnings.warn('`load_file` is deprecated.', category=PydanticDeprecatedSince20, stacklevel=2)
    path = Path(path)
    b = path.read_bytes()
    if content_type is None:
        if path.suffix in ('.js', '.json'):
            proto = Protocol.json
        elif path.suffix == '.pkl':
            proto = Protocol.pickle

    return load_str_bytes(
        b, proto=proto, content_type=content_type, encoding=encoding, allow_pickle=allow_pickle, json_loads=json_loads
    )
司的安全保卫和设施管理。虽然有些时候可能会加班，但整体来说还算轻松。如果你愿意尝试，我相信你能很好地适应这份工作的。"
    听到他的回答，我心里踏实了不少。我点点头，表示愿意接受这份工作。王经理又和我说了一些工作细节，然后让我明天就来报到上班。
    走出"荣威科技"的大门时，我心里有种说不出的感觉。虽然这份工作薪水不高，但总算解决了我的燃眉之急。更重要的是，通过这次求职经历，我对自己更有信心了。我知道，只要我持续努力，一定能找到更好、更适合自己的工作。
    就在这时，我的手机突然响了。看了看来电显示，原来是妹妹打来的。
    "喂，哥，你现在有时间吗？"妹妹的声音听起来有些焦急，"你能来学校一趟吗？"
    我顿了顿，问："发生什么事了？你在学校遇到了什么麻烦吗？"
    "你先别问了，"妹妹的语气带着几分无奈，"总之你来一趟吧，有些事情需要你亲自处理。"
    我点点头："好，我现在就出发。你在教室里等我，别乱跑。"
    挂断电话后，我简单收拾了一下，便匆匆赶去。虽然不知道妹妹那边究竟出了什么事，但直觉告诉我，肯定不是什么小事。作为哥哥，我有责任保护好自己的家人，更何况现在家里经济困难，更不能有任何闪失。
    半小时后，我来到了妹妹就读的高中。因为是白from __future__ import annotations

import json
import warnings
from typing import TYPE_CHECKING, Any, Callable, 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=None,
)
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.',
        category=PydanticDeprecatedSince20,
        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=None,
)
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.',
        category=PydanticDeprecatedSince20,
        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=None,
)
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.',
        category=PydanticDeprecatedSince20,
        stacklevel=2,
    )
    return json.dumps(
        schema_of(type_, title=title, by_alias=by_alias, ref_template=ref_template, schema_generator=schema_generator),
        **dumps_kwargs,
    )