cpython/Lib/test/test_extcall.py
Tim Peters 6912d4ddf0 Generalize tuple() to work nicely with iterators.
NEEDS DOC CHANGES.
This one surprised me!  While I expected tuple() to be a no-brainer, turns
out it's actually dripping with consequences:
1. It will *allow* the popular PySequence_Fast() to work with any iterable
   object (code for that not yet checked in, but should be trivial).
2. It caused two std tests to fail.  This because some places used
   PyTuple_Sequence() (the C spelling of tuple()) as an indirect way to test
   whether something *is* a sequence.  But tuple() code only looked for the
   existence of sq->item to determine that, and e.g. an instance passed
   that test whether or not it supported the other operations tuple()
   needed (e.g., __len__).  So some things the tests *expected* to fail
   with an AttributeError now fail with a TypeError instead.  This looks
   like an improvement to me; e.g., test_coercion used to produce 559
   TypeErrors and 2 AttributeErrors, and now they're all TypeErrors.  The
   error details are more informative too, because the places calling this
   were *looking* for TypeErrors in order to replace the generic tuple()
   "not a sequence" msg with their own more specific text, and
   AttributeErrors snuck by that.
2001-05-05 03:56:37 +00:00

246 lines
5.3 KiB
Python

from test_support import verify, verbose, TestFailed
from UserList import UserList
def sortdict(d):
keys = d.keys()
keys.sort()
lst = []
for k in keys:
lst.append("%r: %r" % (k, d[k]))
return "{%s}" % ", ".join(lst)
def f(*a, **k):
print a, sortdict(k)
def g(x, *y, **z):
print x, y, sortdict(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 TypeError, attr:
pass
else:
print "should raise TypeError"
class Nothing:
def __len__(self):
return 5
try:
g(*Nothing())
except TypeError, attr:
pass
else:
print "should raise TypeError"
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 sortdict(d)
print sortdict(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:
dir(*h)
except TypeError, err:
print err
else:
print "should raise TypeError: * argument must be a tuple"
try:
None(*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"
try:
dir(**h)
except TypeError, err:
print err
else:
print "should raise TypeError: ** argument must be a dictionary"
try:
None(**h)
except TypeError, err:
print err
else:
print "should raise TypeError: ** argument must be a dictionary"
try:
dir(b=1,**{'b':1})
except TypeError, err:
print err
else:
print "should raise TypeError: dir() got multiple values for keyword argument 'b'"
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, ', '.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, sortdict(kwdict), '->',
try: apply(func, args, kwdict)
except TypeError, err: print err