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"""Unit tests for collections.py."""
import unittest
from test import test_support
from collections import namedtuple
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
from collections import ByteString
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.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
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._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
# Verify that _fields is read-only
try:
p._fields = ('F1' ,'F2')
except AttributeError:
pass
else:
self.fail('The _fields attribute needs to be read-only')
# 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(), ())
Dot = namedtuple('Dot', 'd')
self.assertEqual(Dot(1), (1,))
class TestOneTrickPonyABCs(unittest.TestCase):
def test_Hashable(self):
# Check some non-hashables
non_samples = [bytearray(), 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, bytes()
]
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().__hash__()
self.assertEqual(hash(H()), 0)
self.failIf(issubclass(int, H))
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 = [bytes(), 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().__iter__()
self.assertEqual(list(I()), [])
self.failIf(issubclass(str, I))
def test_Iterator(self):
non_samples = [None, 42, 3.14, 1j, b"", "", (), [], {}, set()]
for x in non_samples:
self.failIf(isinstance(x, Iterator), repr(x))
self.failIf(issubclass(type(x), Iterator), repr(type(x)))
samples = [iter(bytes()), 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)))
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 = [bytes(), 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)))
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 = [bytes(), 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)))
def test_Callable(self):
non_samples = [None, 42, 3.14, 1j,
"", b"", (), [], {}, 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)))
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:
__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 TestCollectionABCs(unittest.TestCase):
# 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))
def test_MutableSet(self):
self.failUnless(isinstance(set(), MutableSet))
self.failUnless(issubclass(set, MutableSet))
self.failIf(isinstance(frozenset(), MutableSet))
self.failIf(issubclass(frozenset, MutableSet))
def test_Mapping(self):
for sample in [dict]:
self.failUnless(isinstance(sample(), Mapping))
self.failUnless(issubclass(sample, Mapping))
def test_MutableMapping(self):
for sample in [dict]:
self.failUnless(isinstance(sample(), MutableMapping))
self.failUnless(issubclass(sample, MutableMapping))
def test_Sequence(self):
for sample in [tuple, list, bytes, str]:
self.failUnless(isinstance(sample(), Sequence))
self.failUnless(issubclass(sample, Sequence))
self.failUnless(issubclass(str, Sequence))
def test_ByteString(self):
for sample in [bytes, bytearray]:
self.failUnless(isinstance(sample(), ByteString))
self.failUnless(issubclass(sample, ByteString))
for sample in [str, list, tuple]:
self.failIf(isinstance(sample(), ByteString))
self.failIf(issubclass(sample, ByteString))
self.failIf(isinstance(memoryview(b""), ByteString))
self.failIf(issubclass(memoryview, ByteString))
def test_MutableSequence(self):
for sample in [tuple, str, bytes]:
self.failIf(isinstance(sample(), MutableSequence))
self.failIf(issubclass(sample, MutableSequence))
for sample in [list, bytearray]:
self.failUnless(isinstance(sample(), MutableSequence))
self.failUnless(issubclass(sample, MutableSequence))
self.failIf(issubclass(str, MutableSequence))
def test_main(verbose=None):
import collections as CollectionsModule
test_classes = [TestNamedTuple, TestOneTrickPonyABCs, TestCollectionABCs]
test_support.run_unittest(*test_classes)
test_support.run_doctest(CollectionsModule, verbose)
if __name__ == "__main__":
test_main(verbose=True)
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