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import unittest, doctest
from test import test_support
from collections import namedtuple
import pickle, cPickle, copy
from collections import Hashable, Iterable, Iterator
from collections import Sized, Container, Callable
from collections import Set, MutableSet
from collections import Mapping, MutableMapping
from collections import Sequence, MutableSequence
TestNT = namedtuple('TestNT', 'x y z') # type used for pickle tests
class TestNamedTuple(unittest.TestCase):
def test_factory(self):
Point = namedtuple('Point', 'x y')
self.assertEqual(Point.__name__, 'Point')
self.assertEqual(Point.__doc__, 'Point(x, y)')
self.assertEqual(Point.__slots__, ())
self.assertEqual(Point.__module__, __name__)
self.assertEqual(Point.__getitem__, tuple.__getitem__)
self.assertEqual(Point._fields, ('x', 'y'))
self.assertRaises(ValueError, namedtuple, 'abc%', 'efg ghi') # type has non-alpha char
self.assertRaises(ValueError, namedtuple, 'class', 'efg ghi') # type has keyword
self.assertRaises(ValueError, namedtuple, '9abc', 'efg ghi') # type starts with digit
self.assertRaises(ValueError, namedtuple, 'abc', 'efg g%hi') # field with non-alpha char
self.assertRaises(ValueError, namedtuple, 'abc', 'abc class') # field has keyword
self.assertRaises(ValueError, namedtuple, 'abc', '8efg 9ghi') # field starts with digit
self.assertRaises(ValueError, namedtuple, 'abc', '_efg ghi') # field with leading underscore
self.assertRaises(ValueError, namedtuple, 'abc', 'efg efg ghi') # duplicate field
namedtuple('Point0', 'x1 y2') # Verify that numbers are allowed in names
namedtuple('_', 'a b c') # Test leading underscores in a typename
nt = namedtuple('nt', u'the quick brown fox') # check unicode input
self.assert_("u'" not in repr(nt._fields))
nt = namedtuple('nt', (u'the', u'quick')) # check unicode input
self.assert_("u'" not in repr(nt._fields))
self.assertRaises(TypeError, Point._make, [11]) # catch too few args
self.assertRaises(TypeError, Point._make, [11, 22, 33]) # catch too many args
def test_instance(self):
Point = namedtuple('Point', 'x y')
p = Point(11, 22)
self.assertEqual(p, Point(x=11, y=22))
self.assertEqual(p, Point(11, y=22))
self.assertEqual(p, Point(y=22, x=11))
self.assertEqual(p, Point(*(11, 22)))
self.assertEqual(p, Point(**dict(x=11, y=22)))
self.assertRaises(TypeError, Point, 1) # too few args
self.assertRaises(TypeError, Point, 1, 2, 3) # too many args
self.assertRaises(TypeError, eval, 'Point(XXX=1, y=2)', locals()) # wrong keyword argument
self.assertRaises(TypeError, eval, 'Point(x=1)', locals()) # missing keyword argument
self.assertEqual(repr(p), 'Point(x=11, y=22)')
self.assert_('__dict__' not in dir(p)) # verify instance has no dict
self.assert_('__weakref__' not in dir(p))
self.assertEqual(p, Point._make([11, 22])) # test _make classmethod
self.assertEqual(p._fields, ('x', 'y')) # test _fields attribute
self.assertEqual(p._replace(x=1), (1, 22)) # test _replace method
self.assertEqual(p._asdict(), dict(x=11, y=22)) # test _asdict method
try:
p._replace(x=1, error=2)
except ValueError:
pass
else:
self._fail('Did not detect an incorrect fieldname')
# verify that field string can have commas
Point = namedtuple('Point', 'x, y')
p = Point(x=11, y=22)
self.assertEqual(repr(p), 'Point(x=11, y=22)')
# verify that fieldspec can be a non-string sequence
Point = namedtuple('Point', ('x', 'y'))
p = Point(x=11, y=22)
self.assertEqual(repr(p), 'Point(x=11, y=22)')
def test_tupleness(self):
Point = namedtuple('Point', 'x y')
p = Point(11, 22)
self.assert_(isinstance(p, tuple))
self.assertEqual(p, (11, 22)) # matches a real tuple
self.assertEqual(tuple(p), (11, 22)) # coercable to a real tuple
self.assertEqual(list(p), [11, 22]) # coercable to a list
self.assertEqual(max(p), 22) # iterable
self.assertEqual(max(*p), 22) # star-able
x, y = p
self.assertEqual(p, (x, y)) # unpacks like a tuple
self.assertEqual((p[0], p[1]), (11, 22)) # indexable like a tuple
self.assertRaises(IndexError, p.__getitem__, 3)
self.assertEqual(p.x, x)
self.assertEqual(p.y, y)
self.assertRaises(AttributeError, eval, 'p.z', locals())
def test_odd_sizes(self):
Zero = namedtuple('Zero', '')
self.assertEqual(Zero(), ())
self.assertEqual(Zero._make([]), ())
self.assertEqual(repr(Zero()), 'Zero()')
self.assertEqual(Zero()._asdict(), {})
self.assertEqual(Zero()._fields, ())
Dot = namedtuple('Dot', 'd')
self.assertEqual(Dot(1), (1,))
self.assertEqual(Dot._make([1]), (1,))
self.assertEqual(Dot(1).d, 1)
self.assertEqual(repr(Dot(1)), 'Dot(d=1)')
self.assertEqual(Dot(1)._asdict(), {'d':1})
self.assertEqual(Dot(1)._replace(d=999), (999,))
self.assertEqual(Dot(1)._fields, ('d',))
n = 5000
import string, random
names = list(set(''.join([random.choice(string.ascii_letters)
for j in range(10)]) for i in range(n)))
n = len(names)
Big = namedtuple('Big', names)
b = Big(*range(n))
self.assertEqual(b, tuple(range(n)))
self.assertEqual(Big._make(range(n)), tuple(range(n)))
for pos, name in enumerate(names):
self.assertEqual(getattr(b, name), pos)
repr(b) # make sure repr() doesn't blow-up
d = b._asdict()
d_expected = dict(zip(names, range(n)))
self.assertEqual(d, d_expected)
b2 = b._replace(**dict([(names[1], 999),(names[-5], 42)]))
b2_expected = range(n)
b2_expected[1] = 999
b2_expected[-5] = 42
self.assertEqual(b2, tuple(b2_expected))
self.assertEqual(b._fields, tuple(names))
def test_pickle(self):
p = TestNT(x=10, y=20, z=30)
for module in pickle, cPickle:
loads = getattr(module, 'loads')
dumps = getattr(module, 'dumps')
for protocol in -1, 0, 1, 2:
q = loads(dumps(p, protocol))
self.assertEqual(p, q)
self.assertEqual(p._fields, q._fields)
def test_copy(self):
p = TestNT(x=10, y=20, z=30)
for copier in copy.copy, copy.deepcopy:
q = copier(p)
self.assertEqual(p, q)
self.assertEqual(p._fields, q._fields)
class ABCTestCase(unittest.TestCase):
def validate_abstract_methods(self, abc, *names):
methodstubs = dict.fromkeys(names, lambda s, *args: 0)
# everything should work will all required methods are present
C = type('C', (abc,), methodstubs)
C()
# instantiation should fail if a required method is missing
for name in names:
stubs = methodstubs.copy()
del stubs[name]
C = type('C', (abc,), stubs)
self.assertRaises(TypeError, C, name)
class TestOneTrickPonyABCs(ABCTestCase):
def test_Hashable(self):
# Check some non-hashables
non_samples = [list(), set(), dict()]
for x in non_samples:
self.failIf(isinstance(x, Hashable), repr(x))
self.failIf(issubclass(type(x), Hashable), repr(type(x)))
# Check some hashables
samples = [None,
int(), float(), complex(),
str(),
tuple(), frozenset(),
int, list, object, type,
]
for x in samples:
self.failUnless(isinstance(x, Hashable), repr(x))
self.failUnless(issubclass(type(x), Hashable), repr(type(x)))
self.assertRaises(TypeError, Hashable)
# Check direct subclassing
class H(Hashable):
def __hash__(self):
return super(H, self).__hash__()
__eq__ = Hashable.__eq__ # Silence Py3k warning
self.assertEqual(hash(H()), 0)
self.failIf(issubclass(int, H))
self.validate_abstract_methods(Hashable, '__hash__')
def test_Iterable(self):
# Check some non-iterables
non_samples = [None, 42, 3.14, 1j]
for x in non_samples:
self.failIf(isinstance(x, Iterable), repr(x))
self.failIf(issubclass(type(x), Iterable), repr(type(x)))
# Check some iterables
samples = [str(),
tuple(), list(), set(), frozenset(), dict(),
dict().keys(), dict().items(), dict().values(),
(lambda: (yield))(),
(x for x in []),
]
for x in samples:
self.failUnless(isinstance(x, Iterable), repr(x))
self.failUnless(issubclass(type(x), Iterable), repr(type(x)))
# Check direct subclassing
class I(Iterable):
def __iter__(self):
return super(I, self).__iter__()
self.assertEqual(list(I()), [])
self.failIf(issubclass(str, I))
self.validate_abstract_methods(Iterable, '__iter__')
def test_Iterator(self):
non_samples = [None, 42, 3.14, 1j, "".encode('ascii'), "", (), [],
{}, set()]
for x in non_samples:
self.failIf(isinstance(x, Iterator), repr(x))
self.failIf(issubclass(type(x), Iterator), repr(type(x)))
samples = [iter(str()),
iter(tuple()), iter(list()), iter(dict()),
iter(set()), iter(frozenset()),
iter(dict().keys()), iter(dict().items()),
iter(dict().values()),
(lambda: (yield))(),
(x for x in []),
]
for x in samples:
self.failUnless(isinstance(x, Iterator), repr(x))
self.failUnless(issubclass(type(x), Iterator), repr(type(x)))
self.validate_abstract_methods(Iterator, 'next')
def test_Sized(self):
non_samples = [None, 42, 3.14, 1j,
(lambda: (yield))(),
(x for x in []),
]
for x in non_samples:
self.failIf(isinstance(x, Sized), repr(x))
self.failIf(issubclass(type(x), Sized), repr(type(x)))
samples = [str(),
tuple(), list(), set(), frozenset(), dict(),
dict().keys(), dict().items(), dict().values(),
]
for x in samples:
self.failUnless(isinstance(x, Sized), repr(x))
self.failUnless(issubclass(type(x), Sized), repr(type(x)))
self.validate_abstract_methods(Sized, '__len__')
def test_Container(self):
non_samples = [None, 42, 3.14, 1j,
(lambda: (yield))(),
(x for x in []),
]
for x in non_samples:
self.failIf(isinstance(x, Container), repr(x))
self.failIf(issubclass(type(x), Container), repr(type(x)))
samples = [str(),
tuple(), list(), set(), frozenset(), dict(),
dict().keys(), dict().items(),
]
for x in samples:
self.failUnless(isinstance(x, Container), repr(x))
self.failUnless(issubclass(type(x), Container), repr(type(x)))
self.validate_abstract_methods(Container, '__contains__')
def test_Callable(self):
non_samples = [None, 42, 3.14, 1j,
"", "".encode('ascii'), (), [], {}, set(),
(lambda: (yield))(),
(x for x in []),
]
for x in non_samples:
self.failIf(isinstance(x, Callable), repr(x))
self.failIf(issubclass(type(x), Callable), repr(type(x)))
samples = [lambda: None,
type, int, object,
len,
list.append, [].append,
]
for x in samples:
self.failUnless(isinstance(x, Callable), repr(x))
self.failUnless(issubclass(type(x), Callable), repr(type(x)))
self.validate_abstract_methods(Callable, '__call__')
def test_direct_subclassing(self):
for B in Hashable, Iterable, Iterator, Sized, Container, Callable:
class C(B):
pass
self.failUnless(issubclass(C, B))
self.failIf(issubclass(int, C))
def test_registration(self):
for B in Hashable, Iterable, Iterator, Sized, Container, Callable:
class C:
__metaclass__ = type
__hash__ = None # Make sure it isn't hashable by default
self.failIf(issubclass(C, B), B.__name__)
B.register(C)
self.failUnless(issubclass(C, B))
class WithSet(MutableSet):
def __init__(self, it=()):
self.data = set(it)
def __len__(self):
return len(self.data)
def __iter__(self):
return iter(self.data)
def __contains__(self, item):
return item in self.data
def add(self, item):
self.data.add(item)
def discard(self, item):
self.data.discard(item)
class TestCollectionABCs(ABCTestCase):
# XXX For now, we only test some virtual inheritance properties.
# We should also test the proper behavior of the collection ABCs
# as real base classes or mix-in classes.
def test_Set(self):
for sample in [set, frozenset]:
self.failUnless(isinstance(sample(), Set))
self.failUnless(issubclass(sample, Set))
self.validate_abstract_methods(Set, '__contains__', '__iter__', '__len__')
def test_hash_Set(self):
class OneTwoThreeSet(Set):
def __init__(self):
self.contents = [1, 2, 3]
def __contains__(self, x):
return x in self.contents
def __len__(self):
return len(self.contents)
def __iter__(self):
return iter(self.contents)
def __hash__(self):
return self._hash()
a, b = OneTwoThreeSet(), OneTwoThreeSet()
self.failUnless(hash(a) == hash(b))
def test_MutableSet(self):
self.failUnless(isinstance(set(), MutableSet))
self.failUnless(issubclass(set, MutableSet))
self.failIf(isinstance(frozenset(), MutableSet))
self.failIf(issubclass(frozenset, MutableSet))
self.validate_abstract_methods(MutableSet, '__contains__', '__iter__', '__len__',
'add', 'discard')
def test_issue_5647(self):
# MutableSet.__iand__ mutated the set during iteration
s = WithSet('abcd')
s &= WithSet('cdef') # This used to fail
self.assertEqual(set(s), set('cd'))
def test_issue_4920(self):
# MutableSet.pop() method did not work
class MySet(collections.MutableSet):
__slots__=['__s']
def __init__(self,items=None):
if items is None:
items=[]
self.__s=set(items)
def __contains__(self,v):
return v in self.__s
def __iter__(self):
return iter(self.__s)
def __len__(self):
return len(self.__s)
def add(self,v):
result=v not in self.__s
self.__s.add(v)
return result
def discard(self,v):
result=v in self.__s
self.__s.discard(v)
return result
def __repr__(self):
return "MySet(%s)" % repr(list(self))
s = MySet([5,43,2,1])
self.assertEqual(s.pop(), 1)
def test_Mapping(self):
for sample in [dict]:
self.failUnless(isinstance(sample(), Mapping))
self.failUnless(issubclass(sample, Mapping))
self.validate_abstract_methods(Mapping, '__contains__', '__iter__', '__len__',
'__getitem__')
def test_MutableMapping(self):
for sample in [dict]:
self.failUnless(isinstance(sample(), MutableMapping))
self.failUnless(issubclass(sample, MutableMapping))
self.validate_abstract_methods(MutableMapping, '__contains__', '__iter__', '__len__',
'__getitem__', '__setitem__', '__delitem__')
def test_Sequence(self):
for sample in [tuple, list, str]:
self.failUnless(isinstance(sample(), Sequence))
self.failUnless(issubclass(sample, Sequence))
self.failUnless(issubclass(basestring, Sequence))
self.failUnless(isinstance(range(10), Sequence))
self.failUnless(issubclass(xrange, Sequence))
self.failUnless(issubclass(str, Sequence))
self.validate_abstract_methods(Sequence, '__contains__', '__iter__', '__len__',
'__getitem__')
def test_MutableSequence(self):
for sample in [tuple, str]:
self.failIf(isinstance(sample(), MutableSequence))
self.failIf(issubclass(sample, MutableSequence))
for sample in [list]:
self.failUnless(isinstance(sample(), MutableSequence))
self.failUnless(issubclass(sample, MutableSequence))
self.failIf(issubclass(basestring, MutableSequence))
self.validate_abstract_methods(MutableSequence, '__contains__', '__iter__',
'__len__', '__getitem__', '__setitem__', '__delitem__', 'insert')
import doctest, collections
def test_main(verbose=None):
NamedTupleDocs = doctest.DocTestSuite(module=collections)
test_classes = [TestNamedTuple, NamedTupleDocs, TestOneTrickPonyABCs, TestCollectionABCs]
test_support.run_unittest(*test_classes)
test_support.run_doctest(collections, verbose)
if __name__ == "__main__":
test_main(verbose=True)
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