Method test_shuffle

numpy/random/tests/test_random.py:480–504

(self)

        assert_equal(actual, desired)

    def test_shuffle(self):
        # Test lists, arrays (of various dtypes), and multidimensional versions
        # of both, c-contiguous or not:
        for conv in [lambda x: np.array([]),
                     lambda x: x,
                     lambda x: np.asarray(x).astype(np.int8),
                     lambda x: np.asarray(x).astype(np.float32),
                     lambda x: np.asarray(x).astype(np.complex64),
                     lambda x: np.asarray(x).astype(object),
                     lambda x: [(i, i) for i in x],
                     lambda x: np.asarray([[i, i] for i in x]),
                     lambda x: np.vstack([x, x]).T,
                     # gh-11442
                     lambda x: (np.asarray([(i, i) for i in x],
                                           [("a", int), ("b", int)])
                                .view(np.recarray)),
                     # gh-4270
                     lambda x: np.asarray([(i, i) for i in x],
                                          [("a", object), ("b", np.int32)])]:
            np.random.seed(self.seed)
            alist = conv([1, 2, 3, 4, 5, 6, 7, 8, 9, 0])
            np.random.shuffle(alist)
            actual = alist
            desired = conv([0, 1, 9, 6, 2, 4, 5, 8, 7, 3])
            assert_array_equal(actual, desired)

    def test_shuffle_masked(self):
        # gh-3263