Exemplo n.º 1
0
    def test_Stack(self):
        with filetexts(self.data) as filenames:
            descriptors = [CSV(fn, schema='2 * int32')
                            for fn in sorted(filenames)]
            dd = Stack(descriptors)
            self.assertEqual(dd.dshape, 3 * descriptors[0].dshape)

            expected = (((1, 1), (2, 2)),
                        ((3, 3), (4, 4)),
                        ((5, 5), (6, 6)))

            self.assertEqual(tuplify(tuple(dd.as_py())), expected)

            result = dd.as_dynd()
            expected2 = nd.array(expected, dtype='int32')
            self.assertEqual(nd.as_py(result),
                             nd.as_py(expected2))

            self.assertEqual(tuplify(tuple(dd)), expected)
            self.assertEqual(tuplify(tuple(dd)), expected)  # Not one use only

            chunks = dd.chunks()
            assert all(isinstance(chunk, nd.array) for chunk in chunks)

            self.assertEqual(tuple(dd[[0, 2], 0, 0]), (1, 5))
            self.assertEqual(tuplify(tuple(dd[0])), ((1, 1), (2, 2)))
            self.assertEqual(tuplify(tuple(dd[0, :, [1]])), ((1,), (2,)))
            self.assertEqual(tuplify(tuple(dd[0])), expected[0])

            assert isinstance(dd[:, 0], Iterator)
            assert isinstance(dd[:], Iterator)
Exemplo n.º 2
0
def test_stack(stack_data):
    descriptors = [CSV(fn, schema='2 * int32') for fn in sorted(stack_data)]
    dd = Stack(descriptors)
    assert dd.dshape == 3 * descriptors[0].dshape

    expected = (((1, 1), (2, 2)),
                ((3, 3), (4, 4)),
                ((5, 5), (6, 6)))

    assert tuplify(tuple(dd.as_py())) == expected

    result = dd.as_dynd()
    expected2 = nd.array(expected, dtype='int32')
    assert nd.as_py(result) == nd.as_py(expected2)

    assert tuplify(tuple(dd)) == expected
    assert tuplify(tuple(dd)) == expected  # Not one use only

    chunks = dd.chunks()
    assert all(isinstance(chunk, nd.array) for chunk in chunks)

    assert tuple(dd[[0, 2], 0, 0]) == (1, 5)
    assert tuplify(tuple(dd[0])) == ((1, 1), (2, 2))
    res = dd[0, :, [1]]
    x = tuple(res)
    assert tuplify(x) == ((1,), (2,))
    assert tuplify(tuple(dd[0])) == expected[0]

    assert isinstance(dd[:, 0], Iterator)
    assert isinstance(dd[:], Iterator)
Exemplo n.º 3
0
def test_stack(stack_data):
    descriptors = [CSV(fn, schema='2 * int32') for fn in sorted(stack_data)]
    dd = Stack(descriptors)
    assert dd.dshape == 3 * descriptors[0].dshape

    expected = (((1, 1), (2, 2)), ((3, 3), (4, 4)), ((5, 5), (6, 6)))

    assert tuplify(tuple(dd.as_py())) == expected

    result = dd.as_dynd()
    expected2 = nd.array(expected, dtype='int32')
    assert nd.as_py(result) == nd.as_py(expected2)

    assert tuplify(tuple(dd)) == expected
    assert tuplify(tuple(dd)) == expected  # Not one use only

    chunks = dd.chunks()
    assert all(isinstance(chunk, nd.array) for chunk in chunks)

    assert tuple(dd[[0, 2], 0, 0]) == (1, 5)
    assert tuplify(tuple(dd[0])) == ((1, 1), (2, 2))
    res = dd[0, :, [1]]
    x = tuple(res)
    assert tuplify(x) == ((1, ), (2, ))
    assert tuplify(tuple(dd[0])) == expected[0]

    assert isinstance(dd[:, 0], Iterator)
    assert isinstance(dd[:], Iterator)