Fixes https://github.com/pydantic/pydantic/issues/7611

Long term I think a plan to allow pydantic-core to minimize the validation runtime cost of using referenced schemas (https://github.com/pydantic/pydantic-core/pull/989) makes the most sense, but this will do for now. We may even be able to add back some of the caching, but will have to be smarter about it.

This degrades the performance of [this schema building benchmark](https://github.com/pydantic/pydantic/blob/main/tests/benchmarks/test_fastapi_startup_generics.py) from `2.5s` to `3s` on my laptop.

Selected Reviewer: @dmontagu
Remove schema building caches. Fixes https://github.com/pydantic/pydantic/issues/7611

Long term I think a plan to allow pydantic-core to minimize the validation runtime cost of using referenced schemas (https://github.com/pydantic/pydantic-core/pull/989) makes the most sense, but this will do for now. We may even be able to add back some of the caching, but will have to be smarter about it.

This degrades the performance of [this schema building benchmark](https://github.com/pydantic/pydantic/blob/main/tests/benchmarks/test_fastapi_startup_generics.py) from `2.5s` to `3s` on my laptop.

Selected Reviewer: @dmontagu
"""Decorator for validating function calls."""
from __future__ import annotations as _annotations

from typing import TYPE_CHECKING, Any, Callable, TypeVar, overload

from ._internal import _validate_call

__all__ = ('validate_call',)

if TYPE_CHECKING:
    from .config import ConfigDict

    AnyCallableT = TypeVar('AnyCallableT', bound=Callable[..., Any])


@overload
def validate_call(
    *, config: ConfigDict | None = None, validate_return: bool = False
) -> Callable[[AnyCallableT], AnyCallableT]:
    ...


@overload
def validate_call(__func: AnyCallableT) -> AnyCallableT:
    ...


def validate_call(
    __func: AnyCallableT | None = None,
    *,
    config: ConfigDict | None = None,
    validate_return: bool = False,
) -> AnyCallableT | Callable[[AnyCallableT], AnyCallableT]:
    """Usage docs: https://docs.pydantic.dev/2.4/concepts/validation_decorator/

    Returns a decorated wrapper around the function that validates the arguments and, optionally, the return value.

    Usage may be either as a plain decorator `@validate_call` or with arguments `@validate_call(...)`.

    Args:
        __func: The function to be decorated.
        config: The configuration dictionary.
        validate_return: Whether to validate the return value.

    Returns:
        The decorated function.
    """

    def validate(function: AnyCallableT) -> AnyCallableT:
        if isinstance(function, (classmethod, staticmethod)):
            name = type(function).__name__
            raise TypeError(f'The `@{name}` decorator should be applied after `@validate_call` (put `@{name}` on top)')
        return _validate_call.ValidateCallWrapper(function, config, validate_return)  # type: ignore

    if __func:
        return validate(__func)
    else:
        return validate

"""Decorator for validating function calls."""
from __future__ import annotations as _annotations

from typing import TYPE_CHECKING, Any, Callable, TypeVar, overload

from ._internal import _validate_call

__all__ = ('validate_call',)

if TYPE_CHECKING:
    from .config import ConfigDict

    AnyCallableT = TypeVar('AnyCallableT', bound=Callable[..., Any])


@overload
def validate_call(
    *, config: ConfigDict | None = None, validate_return: bool = False
) -> Callable[[AnyCallableT], AnyCallableT]:
    ...


@overload
def validate_call(__func: AnyCallableT) -> AnyCallableT:
    ...


def validate_call(
    __func: AnyCallableT | None = None,
    *,
    config: ConfigDict | None = None,
    validate_return: bool = False,
) -> AnyCallableT | Callable[[AnyCallableT], AnyCallableT]:
    """Usage docs: https://docs.pydantic.dev/2.4/concepts/validation_decorator/

    Returns a decorated wrapper around the function that validates the arguments and, optionally, the return value.

    Usage may be either as a plain decorator `@validate_call` or with arguments `@validate_call(...)`.

    Args:
        __func: The function to be decorated.
        config: The configuration dictionary.
        validate_return: Whether to validate the return value.

    Returns:
        The decorated function.
    """

    def validate(function: AnyCallableT) -> AnyCallableT:
        if isinstance(function, (classmethod, staticmethod)):
            name = type(function).__name__
            raise TypeError(f'The `@{name}` decorator should be applied after `@validate_call` (put `@{name}` on top)')
        return _validate_call.ValidateCallWrapper(function, config, validate_return)  # type: ignore

    if __func:
        return validate(__func)
    else:
        return validate
