Deprecated Params

Inspired after python's warning.deprecated wrapper, deprecated_params is made to serve the single purpose of deprecating parameter names to warn users about incoming changes as well as retaining typehinting.

How to Deprecate Parameters

Parameters should be keyword arguments, not positional, Reason for this implementation is that in theory you should've already planned an alternative approach to an argument you wish to deprecate. Most of the times these arguments will most likely be one of 3 cases.

• misspellings
• better functionality that replaces old arguments with better ones.
• removed parameters but you want to warn developers to move without being aggressive about it.

from deprecated_params import deprecated_params

@deprecated_params(['x'])
def func(y, *, x:int = 0):
    pass

# DeprecationWarning: Parameter "x" is deprecated
func(None, x=20)

# NOTE: **kw is accepted but also you could put down more than one 
# parameter if needed...
@deprecated_params(['foo'], {"foo":"foo was removed in ... don't use it"}, display_kw=False)
class MyClass:
    def __init__(self, spam:object, **kw):
        self.spam = spam
        self.foo = kw.get("foo", None)

# DeprecationWarning: foo was removed in ... don't use it
mc = MyClass("spam", foo="X")

Why I wrote Deprecated Params

I got tired of throwing random warnings in my code and wanted something cleaner that didn't interfere with a function's actual code and didn't blind anybody trying to go through it. Contributors and Reviewers should be able to utilize a library that saves them from these problems while improving the readability of a function. After figuring out that the functionality I was looking for didn't exist I took the opportunity to implement it.

Goals With this library

• Keep up to date and maintained until sometime around 2040 or when something new obsoletes the need for it
  • Example: If the standard python library were to introduce it's own adaptation of deprecated-params
• Remain tiny or as a single module with no additional dependencies unless needed for backwards compatible versions of python example: typing-extensions.
• This Library will Never Be Vibe Coded. It is simplistic enough for anybody with a decent understanding of python to understand the underlying mechanics behind how the classes and functions work. Under this philosophy, AI will never be relied on and will continue to remain human-made & maintained for the rest of time.