(is_varnode)
| 110 | |
| 111 | @pytest.mark.parametrize("is_varnode", [True, False]) |
| 112 | def test_condtake(is_varnode): |
| 113 | if is_varnode: |
| 114 | network = Network() |
| 115 | else: |
| 116 | network = None |
| 117 | |
| 118 | x = np.array([[1, 2, 3], [4, 5, 6]]).astype("float32") |
| 119 | y = np.array([[True, False, True], [False, True, True]]) |
| 120 | xx = make_tensor(x, network) |
| 121 | yy = make_tensor(y, network) |
| 122 | val, idx = F.cond_take(yy, xx) |
| 123 | if is_varnode: |
| 124 | np.testing.assert_equal(get_var_value(val), x[y]) |
| 125 | np.testing.assert_equal(get_var_value(idx), np.where(y.reshape(-1))[0]) |
| 126 | else: |
| 127 | np.testing.assert_equal(val.numpy(), x[y]) |
| 128 | np.testing.assert_equal(idx.numpy(), np.where(y.reshape(-1))[0]) |
| 129 | |
| 130 | |
| 131 | @pytest.mark.parametrize("as_tuple", [True, False]) |
nothing calls this directly
no test coverage detected