(self)
| 938 | assert_equal(actual, desired) |
| 939 | |
| 940 | def test_shuffle(self): |
| 941 | # Test lists, arrays (of various dtypes), and multidimensional versions |
| 942 | # of both, c-contiguous or not: |
| 943 | for conv in [lambda x: np.array([]), |
| 944 | lambda x: x, |
| 945 | lambda x: np.asarray(x).astype(np.int8), |
| 946 | lambda x: np.asarray(x).astype(np.float32), |
| 947 | lambda x: np.asarray(x).astype(np.complex64), |
| 948 | lambda x: np.asarray(x).astype(object), |
| 949 | lambda x: [(i, i) for i in x], |
| 950 | lambda x: np.asarray([[i, i] for i in x]), |
| 951 | lambda x: np.vstack([x, x]).T, |
| 952 | # gh-11442 |
| 953 | lambda x: (np.asarray([(i, i) for i in x], |
| 954 | [("a", int), ("b", int)]) |
| 955 | .view(np.recarray)), |
| 956 | # gh-4270 |
| 957 | lambda x: np.asarray([(i, i) for i in x], |
| 958 | [("a", object, (1,)), |
| 959 | ("b", np.int32, (1,))])]: |
| 960 | random = Generator(MT19937(self.seed)) |
| 961 | alist = conv([1, 2, 3, 4, 5, 6, 7, 8, 9, 0]) |
| 962 | random.shuffle(alist) |
| 963 | actual = alist |
| 964 | desired = conv([4, 1, 9, 8, 0, 5, 3, 6, 2, 7]) |
| 965 | assert_array_equal(actual, desired) |
| 966 | |
| 967 | def test_shuffle_custom_axis(self): |
| 968 | random = Generator(MT19937(self.seed)) |
nothing calls this directly
no test coverage detected