e121356668a9823650457e41c8e5ce2b6c1ee95d,tests/test_decompose.py,,test_nn_filter_mean_rec_sparse,#,167

Before Change

    X = np.random.randn(10, 100)

    // Build a recurrence matrix, just for testing purposes
    rec = librosa.segment.recurrence_matrix(X, sparse=True).astype(np.float)

    X_filtered = librosa.decompose.nn_filter(X, rec=rec)

    // Normalize the recurrence matrix
    rec = librosa.util.normalize(rec.toarray(), axis=1, norm=1)
    assert np.allclose(X_filtered, (X.dot(rec.T)))

After Change

    X = np.random.randn(10, 100)

    // Build a recurrence matrix, just for testing purposes
    rec = librosa.segment.recurrence_matrix(X, sparse=True)

    X_filtered = librosa.decompose.nn_filter(X, rec=rec)

    // Normalize the recurrence matrix
    rec = librosa.util.normalize(rec.toarray().astype(np.float), axis=1, norm=1)
    assert np.allclose(X_filtered, (X.dot(rec.T)))

Instances