from test_support import verify, verbose, TestFailed from UserList import UserList import string def f(*a, **k): print a, k def g(x, *y, **z): print x, y, z def h(j=1, a=2, h=3): print j, a, h f() f(1) f(1, 2) f(1, 2, 3) f(1, 2, 3, *(4, 5)) f(1, 2, 3, *[4, 5]) f(1, 2, 3, *UserList([4, 5])) f(1, 2, 3, **{'a':4, 'b':5}) f(1, 2, 3, *(4, 5), **{'a':6, 'b':7}) f(1, 2, 3, x=4, y=5, *(6, 7), **{'a':8, 'b':9}) try: g() except TypeError, err: print "TypeError:", err else: print "should raise TypeError: not enough arguments; expected 1, got 0" try: g(*()) except TypeError, err: print "TypeError:", err else: print "should raise TypeError: not enough arguments; expected 1, got 0" try: g(*(), **{}) except TypeError, err: print "TypeError:", err else: print "should raise TypeError: not enough arguments; expected 1, got 0" g(1) g(1, 2) g(1, 2, 3) g(1, 2, 3, *(4, 5)) class Nothing: pass try: g(*Nothing()) except AttributeError, attr: pass else: print "should raise AttributeError: __len__" class Nothing: def __len__(self): return 5 try: g(*Nothing()) except AttributeError, attr: pass else: print "should raise AttributeError: __getitem__" class Nothing: def __len__(self): return 5 def __getitem__(self, i): if i < 3: return i else: raise IndexError, i g(*Nothing()) # make sure the function call doesn't stomp on the dictionary? d = {'a': 1, 'b': 2, 'c': 3} d2 = d.copy() verify(d == d2) g(1, d=4, **d) print d print d2 verify(d == d2, "function call modified dictionary") # what about willful misconduct? def saboteur(**kw): kw['x'] = locals() # yields a cyclic kw return kw d = {} kw = saboteur(a=1, **d) verify(d == {}) # break the cycle del kw['x'] try: g(1, 2, 3, **{'x':4, 'y':5}) except TypeError, err: print err else: print "should raise TypeError: keyword parameter redefined" try: g(1, 2, 3, a=4, b=5, *(6, 7), **{'a':8, 'b':9}) except TypeError, err: print err else: print "should raise TypeError: keyword parameter redefined" try: f(**{1:2}) except TypeError, err: print err else: print "should raise TypeError: keywords must be strings" try: h(**{'e': 2}) except TypeError, err: print err else: print "should raise TypeError: unexpected keyword argument: e" try: h(*h) except TypeError, err: print err else: print "should raise TypeError: * argument must be a tuple" try: h(**h) except TypeError, err: print err else: print "should raise TypeError: ** argument must be a dictionary" def f2(*a, **b): return a, b d = {} for i in range(512): key = 'k%d' % i d[key] = i a, b = f2(1, *(2, 3), **d) print len(a), len(b), b == d class Foo: def method(self, arg1, arg2): return arg1 + arg2 x = Foo() print Foo.method(*(x, 1, 2)) print Foo.method(x, *(1, 2)) try: print Foo.method(*(1, 2, 3)) except TypeError, err: print err try: print Foo.method(1, *(2, 3)) except TypeError, err: print err # A PyCFunction that takes only positional parameters should allow an # empty keyword dictionary to pass without a complaint, but raise a # TypeError if the dictionary is non-empty. id(1, **{}) try: id(1, **{"foo": 1}) except TypeError: pass else: raise TestFailed, 'expected TypeError; no exception raised' a, b, d, e, v, k = 'A', 'B', 'D', 'E', 'V', 'K' funcs = [] maxargs = {} for args in ['', 'a', 'ab']: for defargs in ['', 'd', 'de']: for vararg in ['', 'v']: for kwarg in ['', 'k']: name = 'z' + args + defargs + vararg + kwarg arglist = list(args) + map( lambda x: '%s="%s"' % (x, x), defargs) if vararg: arglist.append('*' + vararg) if kwarg: arglist.append('**' + kwarg) decl = 'def %s(%s): print "ok %s", a, b, d, e, v, k' % ( name, string.join(arglist, ', '), name) exec(decl) func = eval(name) funcs.append(func) maxargs[func] = len(args + defargs) for name in ['za', 'zade', 'zabk', 'zabdv', 'zabdevk']: func = eval(name) for args in [(), (1, 2), (1, 2, 3, 4, 5)]: for kwargs in ['', 'a', 'd', 'ad', 'abde']: kwdict = {} for k in kwargs: kwdict[k] = k + k print func.func_name, args, kwdict, '->', try: apply(func, args, kwdict) except TypeError, err: print err