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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