Lib/test/test_collections.py

"""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


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 double underscores
        self.assertRaises(ValueError, namedtuple, 'abc', 'efg efg ghi')    # duplicate field

        namedtuple('Point0', 'x1 y2')   # Verify that numbers are allowed in names

    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 __dict__ 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 = [buffer(), 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_MutableSequence(self):
        for sample in [tuple, str]:
            self.failIf(isinstance(sample(), MutableSequence))
            self.failIf(issubclass(sample, MutableSequence))
        for sample in [list, bytes]:
            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)