# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.
common --noincompatible_remove_legacy_whole_archive
common --features=-force_no_whole_archive
common --host_features=-force_no_whole_archive

    @classmethod
    def __get_pydantic_json_schema__(
        cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler
    ) -> dict[str, Any]:
        return {"type": "string", "format": "binary"}

    @classmethod
    def __get_pydantic_core_schema__(
        cls, source: type[Any], handler: Callable[[Any], Mapping[str, Any]]
    ) -> Mapping[str, Any]:
        from ._compat.v2 import with_info_plain_validator_function

        def __get_pydantic_json_schema__(
            cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler
        ) -> dict[str, Any]:
            return {"type": "string", "format": "email"}

        @classmethod
        def __get_pydantic_core_schema__(
            cls, source: type[Any], handler: Callable[[Any], Mapping[str, Any]]
        ) -> Mapping[str, Any]:
            return with_info_plain_validator_function(cls._validate)

import sys
import types
import typing
import warnings
from collections import deque
from collections.abc import Mapping, Sequence
from dataclasses import is_dataclass
from typing import (
    Annotated,
    Any,
    Union,
)

from fastapi.types import UnionType
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
from starlette.datastructures import UploadFile

    )

RequiredParam = PydanticUndefined
Undefined = PydanticUndefined
UndefinedType = PydanticUndefinedType
evaluate_forwardref = eval_type_lenient
Validator = Any

# TODO: remove when dropping support for Pydantic < v2.12.3
_Attrs = {
    "default": ...,
    "default_factory": None,
    "alias": None,
    "alias_priority": None,
    "validation_alias": None,
    "serialization_alias": None,

                                        ],
                                        "discriminator": {
                                            "propertyName": "value",
                                            "mapping": {
                                                "first": "#/components/schemas/FirstItem",
                                                "other": "#/components/schemas/OtherItem",
                                            },

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    >>> decimal_encoder(Decimal("1.0"))
    1.0

    >>> decimal_encoder(Decimal("1"))
    1

    >>> decimal_encoder(Decimal("NaN"))

import dataclasses
import inspect
import sys
from collections.abc import Coroutine, Mapping, Sequence
from contextlib import AsyncExitStack, contextmanager
from copy import copy, deepcopy
from dataclasses import dataclass
from typing import (
    Annotated,
    Any,
    Callable,
    ForwardRef,
    Optional,
    Union,
    cast,
)

import anyio
from fastapi import params
from fastapi._compat import (
    ModelField,

import email.message
import functools
import inspect
import json
from collections.abc import (
    AsyncIterator,
    Awaitable,
    Collection,
    Coroutine,
    Mapping,
    Sequence,
)
from contextlib import AsyncExitStack, asynccontextmanager
from enum import Enum, IntEnum
from typing import (
    Annotated,
    Any,
    Callable,
    Optional,
    Union,
)

from annotated_doc import Doc