a1a0caf27341fd560101ae643bb7df1dc4dfcf46,statsmodels/stats/tests/test_corrpsd.py,Test_Factor,test_corr_nearest_factor_sparse,#Test_Factor#Any#,309

Before Change

        // Generate a test matrix of factors
        X = np.zeros((d, dm), dtype=np.float64)
        x = np.linspace(0, 2 * np.pi, d)
        np.random.seed(10)
        for j in range(dm):
            X[:, j] = np.sin(x * (j + 1)) + 1e-10 * np.random.randn(d)

        // Get the correlation matrix

After Change

                pytest.xfail("Known to randomly fail on Win32")
            // Some debugging information for CI runs that randomly fail
            locs = np.where(~np.isclose(mat_dense, mat_sparse, rtol=.25, atol=1e-3))
            print(mat_sparse[locs])
            print(mat_dense[locs])
            raise err

    // Test on a quadratic function.

Instances