Overload python 2 functions with decorator.
Project description
Overload python functions to behave diffrently depending on number and types of arguments.
Install
pip install p2-overload
Usage
from overload import *
# types and number or agrs:
@overload(int)
def quantify(n):
return 'quantify' * n
@overload(str)
def quantify(s):
return s * 2
@overload(str, int)
def quantify(s, n):
return s * n
assert quantify(2) == 'quantifyquantify'
assert quantify('bye') == 'byebye'
assert quantify('xy', 3) == 'xyxyxy'
# predicates on args
@overload(int, int)
def step(start, step):
return start + step
@overload(int, callable)
def step(start, succ):
return succ(start)
# use tuple of types
@overload((list, tuple))
def twice(coll):
return coll + coll
# use custom predicates
from whatever import _
@overload(_ < 2) # same as lambda x: x < 2
def fib(n):
return n
@overload(int)
def fib(n):
return fib(n-1) + fib(n-2)
TODO
support named and optional arguments
ellipsis
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