Mots clés : pythonsyntaxparameter-passingvariadic-functionsargument-unpackingpython
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def foo(*args): for a in args: print(a) foo(1) # 1 foo(1,2,3) # 1 # 2 # 3
def bar(**kwargs): for a in kwargs: print(a, kwargs[a]) bar(name='one', age=27) # name one # age 27
def foo(kind, *args, **kwargs): pass
def foo(a, b, c): print(a, b, c) obj = {'b':10, 'c':'lee'} foo(100,**obj) # 100 10 lee
def foo(bar, lee): print(bar, lee) l = [1,2] foo(*l) # 1 2
first, *rest = [1,2,3,4] first, *l, last = [1,2,3,4]
def func(arg1, arg2, arg3, *, kwarg1, kwarg2): pass
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def foo(x,y,z): print("x=" + str(x)) print("y=" + str(y)) print("z=" + str(z))
>>> mylist = [1,2,3] >>> foo(*mylist) x=1 y=2 z=3 >>> mydict = {'x':1,'y':2,'z':3} >>> foo(**mydict) x=1 y=2 z=3 >>> mytuple = (1, 2, 3) >>> foo(*mytuple) x=1 y=2 z=3
>>> mydict = {'x':1,'y':2,'z':3,'badnews':9} >>> foo(**mydict) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: foo() got an unexpected keyword argument 'badnews'
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def foo(param1, *param2): print(param1) print(param2) def bar(param1, **param2): print(param1) print(param2) foo(1,2,3,4,5) bar(1,a=2,b=3)
1 (2, 3, 4, 5) 1 {'a': 2, 'b': 3}
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>>> x = xrange(3) # create our *args - an iterable of 3 integers >>> xrange(*x) # expand here xrange(0, 2, 2)
>>> foo = 'FOO' >>> bar = 'BAR' >>> 'this is foo, {foo} and bar, {bar}'.format(**locals()) 'this is foo, FOO and bar, BAR'
def foo(arg, kwarg=None, *args, kwarg2=None, **kwargs): return arg, kwarg, args, kwarg2, kwargs
>>> foo(1,2,3,4,5,kwarg2='kwarg2', bar='bar', baz='baz') (1, 2, (3, 4, 5), 'kwarg2', {'bar': 'bar', 'baz': 'baz'})
def foo(arg, kwarg=None, *, kwarg2=None, **kwargs): return arg, kwarg, kwarg2, kwargs
>>> foo(1,2,kwarg2='kwarg2', foo='foo', bar='bar') (1, 2, 'kwarg2', {'foo': 'foo', 'bar': 'bar'})
>>> foo(1,2,3,4,5, kwarg2='kwarg2', foo='foo', bar='bar') Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: foo() takes from 1 to 2 positional arguments but 5 positional arguments (and 1 keyword-only argument) were given
def bar(*, kwarg=None): return kwarg
>>> bar('kwarg') Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: bar() takes 0 positional arguments but 1 was given
>>> bar(kwarg='kwarg') 'kwarg'
def foo(a, b=10, *args, **kwargs): ''' this function takes required argument a, not required keyword argument b and any number of unknown positional arguments and keyword arguments after ''' print('a is a required argument, and its value is {0}'.format(a)) print('b not required, its default value is 10, actual value: {0}'.format(b)) # we can inspect the unknown arguments we were passed: # - args: print('args is of type {0} and length {1}'.format(type(args), len(args))) for arg in args: print('unknown arg: {0}'.format(arg)) # - kwargs: print('kwargs is of type {0} and length {1}'.format(type(kwargs), len(kwargs))) for kw, arg in kwargs.items(): print('unknown kwarg - kw: {0}, arg: {1}'.format(kw, arg)) # But we don't have to know anything about them # to pass them to other functions. print('Args or kwargs can be passed without knowing what they are.') # max can take two or more positional args: max(a, b, c...) print('e.g. max(a, b, *args) \n{0}'.format( max(a, b, *args))) kweg = 'dict({0})'.format( # named args same as unknown kwargs ', '.join('{k}={v}'.format(k=k, v=v) for k, v in sorted(kwargs.items()))) print('e.g. dict(**kwargs) (same as {kweg}) returns: \n{0}'.format( dict(**kwargs), kweg=kweg))
foo(a, b=10, *args, **kwargs)
a is a required argument, and its value is 1 b not required, its default value is 10, actual value: 2 args is of type <type 'tuple'> and length 2 unknown arg: 3 unknown arg: 4 kwargs is of type <type 'dict'> and length 3 unknown kwarg - kw: e, arg: 5 unknown kwarg - kw: g, arg: 7 unknown kwarg - kw: f, arg: 6 Args or kwargs can be passed without knowing what they are. e.g. max(a, b, *args) 4 e.g. dict(**kwargs) (same as dict(e=5, f=6, g=7)) returns: {'e': 5, 'g': 7, 'f': 6}
def bar(a): b, c, d, e, f = 2, 3, 4, 5, 6 # dumping every local variable into foo as a keyword argument # by expanding the locals dict: foo(**locals())
a is a required argument, and its value is 100 b not required, its default value is 10, actual value: 2 args is of type <type 'tuple'> and length 0 kwargs is of type <type 'dict'> and length 4 unknown kwarg - kw: c, arg: 3 unknown kwarg - kw: e, arg: 5 unknown kwarg - kw: d, arg: 4 unknown kwarg - kw: f, arg: 6 Args or kwargs can be passed without knowing what they are. e.g. max(a, b, *args) 100 e.g. dict(**kwargs) (same as dict(c=3, d=4, e=5, f=6)) returns: {'c': 3, 'e': 5, 'd': 4, 'f': 6}
def foo(a, b, c, d=0, e=100): # imagine this is much more code than a simple function call preprocess() differentiating_process_foo(a,b,c,d,e) # imagine this is much more code than a simple function call postprocess() def bar(a, b, c=None, d=0, e=100, f=None): preprocess() differentiating_process_bar(a,b,c,d,e,f) postprocess() def baz(a, b, c, d, e, f): ... and so on
def decorator(function): '''function to wrap other functions with a pre- and postprocess''' @functools.wraps(function) # applies module, name, and docstring to wrapper def wrapper(*args, **kwargs): # again, imagine this is complicated, but we only write it once! preprocess() function(*args, **kwargs) postprocess() return wrapper
@decorator def foo(a, b, c, d=0, e=100): differentiating_process_foo(a,b,c,d,e) @decorator def bar(a, b, c=None, d=0, e=100, f=None): differentiating_process_bar(a,b,c,d,e,f) @decorator def baz(a, b, c=None, d=0, e=100, f=None, g=None): differentiating_process_baz(a,b,c,d,e,f, g) @decorator def quux(a, b, c=None, d=0, e=100, f=None, g=None, h=None): differentiating_process_quux(a,b,c,d,e,f,g,h)
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def test(a,b,c): print(a) print(b) print(c) test(1,2,3) #output: 1 2 3
def test(a,b,c): print(a) print(b) print(c) test(a=1,b=2,c=3) #output: 1 2 3
def test(a=0,b=0,c=0): print(a) print(b) print(c) print('-------------------------') test(a=1,b=2,c=3) #output : 1 2 3 -------------------------
def test(a=0,b=0,c=0): print(a) print(b) print(c) print('-------------------------') test(1,2,3) # output : 1 2 3 ---------------------------------
def sum(a,b): #receive args from function calls as sum(1,2) or sum(a=1,b=2) print(a+b) my_tuple = (1,2) my_list = [1,2] my_dict = {'a':1,'b':2} # Let us unpack data structure of list or tuple or dict into arguments with help of '*' operator sum(*my_tuple) # becomes same as sum(1,2) after unpacking my_tuple with '*' sum(*my_list) # becomes same as sum(1,2) after unpacking my_list with '*' sum(**my_dict) # becomes same as sum(a=1,b=2) after unpacking by '**' # output is 3 in all three calls to sum function.
def sum(*args): #pack the received positional args into data structure of tuple. after applying '*' - def sum((1,2,3,4)) sum = 0 for a in args: sum+=a print(sum) sum(1,2,3,4) #positional args sent to function sum #output: 10
def sum(**args): #pack keyword args into datastructure of dict after applying '**' - def sum({a:1,b:2,c:3,d:4}) sum=0 for k,v in args.items(): sum+=v print(sum) sum(a=1,b=2,c=3,d=4) #positional args sent to function sum