If you have learned C++
, you must be familiar with function object
or functor
, means any object that can be called as if it is a function
.
In C++, an ordinary function
is a function object, and so is a function pointer; more generally, so is an object of a class that defines operator()
. In C++11 and greater, the lambda expression
is the functor
too.
Similarity, in Python, those functors
are all callable
. An ordinary function
can be callable, a lambda expression
can be callable, a functional.partial
can be callable, the instances of class with a __call__() method
can be callable.
Ok, go back to question : I have a variable, x, and I want to know whether it is pointing to a function or not.
If you want to judge weather the object acts like a function, then the
callable
method suggested by@John Feminella
is ok.If you want to
judge whether a object is just an ordinary function or not
( not a callable class instance, or a lambda expression), then thextypes.XXX
suggested by@Ryan
is a better choice.
#!/usr/bin/python3
# 2017.12.10 14:25:01 CST
# 2017.12.10 15:54:19 CST
import functools
import types
import pprint
Define a class and an ordinary function.
class A():
def __call__(self, a,b):
print(a,b)
def func1(self, a, b):
print("[classfunction]:", a, b)
@classmethod
def func2(cls, a,b):
print("[classmethod]:", a, b)
@staticmethod
def func3(a,b):
print("[staticmethod]:", a, b)
def func(a,b):
print("[function]", a,b)
Define the functors:
#(1.1) built-in function
builtins_func = open
#(1.2) ordinary function
ordinary_func = func
#(1.3) lambda expression
lambda_func = lambda a : func(a,4)
#(1.4) functools.partial
partial_func = functools.partial(func, b=4)
#(2.1) callable class instance
class_callable_instance = A()
#(2.2) ordinary class function
class_ordinary_func = A.func1
#(2.3) bound class method
class_bound_method = A.func2
#(2.4) static class method
class_static_func = A.func3
Define the functors' list and the types' list:
## list of functors
xfuncs = [builtins_func, ordinary_func, lambda_func, partial_func, class_callable_instance, class_ordinary_func, class_bound_method, class_static_func]
## list of type
xtypes = [types.BuiltinFunctionType, types.FunctionType, types.MethodType, types.LambdaType, functools.partial]
Judge wether the functor is callable. As you can see, they all are callable.
res = [callable(xfunc) for xfunc in xfuncs]
print("functors callable:")
print(res)
"""
functors callable:
[True, True, True, True, True, True, True, True]
"""
Judge the functor's type( types.XXX). Then the types of functors are not all the same.
res = [[isinstance(xfunc, xtype) for xtype in xtypes] for xfunc in xfuncs]
## output the result
print("functors' types")
for (row, xfunc) in zip(res, xfuncs):
print(row, xfunc)
"""
functors' types
[True, False, False, False, False] <built-in function open>
[False, True, False, True, False] <function func at 0x7f1b5203e048>
[False, True, False, True, False] <function <lambda> at 0x7f1b5081fd08>
[False, False, False, False, True] functools.partial(<function func at 0x7f1b5203e048>, b=4)
[False, False, False, False, False] <__main__.A object at 0x7f1b50870cc0>
[False, True, False, True, False] <function A.func1 at 0x7f1b5081fb70>
[False, False, True, False, False] <bound method A.func2 of <class '__main__.A'>>
[False, True, False, True, False] <function A.func3 at 0x7f1b5081fc80>
"""
Then you can choose the functors' types that suitable.
such as:
def func(a,b):
print("[function]", a,b)
>>> callable(func)
True
>>> isinstance(func, types.FunctionType)
True
>>> isinstance(func, (types.BuiltinFunctionType, types.FunctionType, functools.partial))
True
>>>
>>> isinstance(func, (types.MethodType, functools.partial))
False