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"""Decorator for validating function calls."""
from __future__ import annotations as _annotations
import functools
from typing import TYPE_CHECKING, Any, Callable, TypeVar, overload
from ._internal import _typing_extra, _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/2.8/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.
"""
local_ns = _typing_extra.parent_frame_namespace()
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)')
validate_call_wrapper = _validate_call.ValidateCallWrapper(function, config, validate_return, local_ns)
@functools.wraps(function)
def wrapper_function(*args, **kwargs):
return validate_call_wrapper(*args, **kwargs)
wrapper_function.raw_function = function # type: ignore
return wrapper_function # type: ignore
if func:
return validate(func)
else:
return validate