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Edit File : validate_call_decorator.py \| Size : 2.08 KB
"""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 Back

Edit File : validate_call_decorator.py | Size : 2.08 KB

"""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

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