How Can I Make A Deepcopy Of A Function In Python?

I would like to make a deepcopy of a function in Python. The copy module is not helpful, according to the documentation, which says: This module does not copy types like module,

Solution 1:

The FunctionType constructor is used to make a deep copy of a function.

import types
defcopy_func(f, name=None):
    return types.FunctionType(f.func_code, f.func_globals, name or f.func_name,
        f.func_defaults, f.func_closure)

defA():
    """A"""pass
B = copy_func(A, "B")
B.__doc__ = """B"""

Solution 2:

My goal is to have two functions with the same implementation but with different docstrings.

Most users will do this, say the original function is in old_module.py:

defimplementation(arg1, arg2): 
    """this is a killer function"""

and in new_module.py

from old_module import implementation as _implementation

defimplementation(arg1, arg2):
    """a different docstring"""return _implementation(arg1, arg2)

This is the most straightforward way to reuse functionality. It is easy to read and understand the intent.

Nevertheless, perhaps you have a good reason for your main question:

How can I make a deepcopy of a function in Python?

To keep this compatible with Python 2 and 3, I recommend using the function's special __dunder__ attributes. For example:

import types

defcopy_func(f, name=None):
    '''
    return a function with same code, globals, defaults, closure, and 
    name (or provide a new name)
    '''
    fn = types.FunctionType(f.__code__, f.__globals__, name or f.__name__,
        f.__defaults__, f.__closure__)
    # in case f was given attrs (note this dict is a shallow copy):
    fn.__dict__.update(f.__dict__) 
    return fn

And here's an example usage:

defmain():
    from logging import getLogger as _getLogger # pyflakes:ignore, must copy
    getLogger = copy_func(_getLogger)
    getLogger.__doc__ += '\n    This function is from the Std Lib logging module.\n    'assert getLogger.__doc__ isnot _getLogger.__doc__
    assert getLogger.__doc__ != _getLogger.__doc__

A commenter says:

This can’t work for built‑in functions

Well I wouldn't do this for a built-in function. I have very little reason to do this for functions written in pure Python, and my suspicion is that if you are doing this, you're probably doing something very wrong (though I could be wrong here).

If you want a function that does what a builtin function does, and reuses the implementation, like a copy would, then you should wrap the function with another function, e.g.:

_sum = sumdefsum(iterable, start=0):
    """sum function that works like the regular sum function, but noisy"""print('calling the sum function')
    return _sum(iterable, start)
    

Solution 3:

from functools import partial

defa():
    """Returns 1"""return1

b = partial(a)
b.__doc__ = """Returns 1, OR DOES IT!"""printhelp(a)
printhelp(b)

Wrap it as a partial?

Solution 4:

defA():
    """A"""passdefB():
    """B"""return A()

Solution 5:

The others answers do not allow for serialization with pickle. Here a code that I am using to clone a function and allow for serialization for python3:

import pickle
import dill
import types

deffoo():
    print ('a')


oldCode=foo.__code__

name='IAmFooCopied'

newCode= types.CodeType(
        oldCode.co_argcount,             #   integer
        oldCode.co_kwonlyargcount,       #   integer
        oldCode.co_nlocals,              #   integer
        oldCode.co_stacksize,            #   integer
        oldCode.co_flags,                #   integer
        oldCode.co_code,                 #   bytes
        oldCode.co_consts,               #   tuple
        oldCode.co_names,                #   tuple
        oldCode.co_varnames,             #   tuple
        oldCode.co_filename,             #   string
        name,                  #   string
        oldCode.co_firstlineno,          #   integer
        oldCode.co_lnotab,               #   bytes
        oldCode.co_freevars,             #   tuple
        oldCode.co_cellvars              #   tuple
        )

IAmFooCopied=types.FunctionType(newCode, foo.__globals__, name,foo.__defaults__ , foo.__closure__)
IAmFooCopied.__qualname__= name
print ( 'printing foo and the copy', IAmFooCopied, foo )
print ( 'dill output: ', dill.dumps(IAmFooCopied ))
print ( 'pickle Output: ', pickle.dumps (IAmFooCopied) )

Output:

printing foo and the copy<function IAmFooCopied at0x7f8a6a8159d8><function foo at0x7f8a6b5f5268>
dill output:  b'\x80\x03cdill._dill\n_create_function\nq\x00(cdill._dill\n_load_type\nq\x01X\x08\x00\x00\x00CodeTypeq\x02\x85q\x03Rq\x04(K\x00K\x00K\x00K\x02KCC\x0ct\x00d\x01\x83\x01\x01\x00d\x00S\x00q\x05NX\x01\x00\x00\x00aq\x06\x86q\x07X\x05\x00\x00\x00printq\x08\x85q\t)X\x10\x00\x00\x00testCloneFunc.pyq\nX\x0c\x00\x00\x00IAmFooCopiedq\x0bK\x05C\x02\x00\x01q\x0c))tq\rRq\x0ec__builtin__\n__main__\nh\x0bNN}q\x0ftq\x10Rq\x11.'
pickle Output:  b'\x80\x03c__main__\nIAmFooCopied\nq\x00.'

You may encounter problem with the qualname attribute if you try this snippet with class methods (I think pickle should fail to find your function). I never tried it, however it should be easily fixable. Just check the doc about qualname