Preserving Function Signatures with Decorators
Decorators are a powerful tool in Python, but they can also introduce problems with decorated function signatures. To preserve the original function's signature, consider the following approaches:
Approach 1: decorator module
Install the decorator module (pip install decorator) and adapt your decorator to use its @decorator.decorator syntax:
<code class="python">import decorator
@decorator.decorator
def args_as_ints(f, *args, **kwargs):
args = [int(x) for x in args]
kwargs = dict((k, int(v)) for k, v in kwargs.items())
return f(*args, **kwargs)</code>Approach 2: functools.wraps() (Python 3.4+)
Python 3.4 introduced functools.wraps(), which preserves function signatures:
<code class="python">import functools
def args_as_ints(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
args = [int(x) for x in args]
kwargs = dict((k, int(v)) for k, v in kwargs.items())
return func(*args, **kwargs)
return wrapper</code>Both approaches effectively preserve the function signature after decoration. Additionally, functools.wraps() can be used for compatibility with older Python versions.
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