28251c5bf7452fa1185fa6f93b9c34d1196ea16d,pynets/core/thresholding.py,,local_thresholding_prop,#Any#Any#,593

Before Change

    conn_matrix_bin = thresholding.binarize(nx.to_numpy_array(min_t, nodelist=sorted(min_t.nodes()), dtype=np.float64))

    // Enforce original dimensionality by padding with zeros.
    if conn_matrix_bin.shape != conn_matrix.shape:
        if conn_matrix.shape[0] > conn_matrix_bin.shape[0]:
            result = np.zeros(conn_matrix.shape)
            result[:conn_matrix_bin.shape[0], :conn_matrix_bin.shape[1]] = conn_matrix_bin
            conn_matrix_thr = np.multiply(conn_matrix, result)
        else:
            result = np.zeros(conn_matrix_bin.shape)
            result[:conn_matrix.shape[0], :conn_matrix.shape[1]] = conn_matrix
            conn_matrix_thr = np.multiply(conn_matrix_bin, result)
    else:
        conn_matrix_thr = np.multiply(conn_matrix, conn_matrix_bin)

    return conn_matrix_thr


def perform_thresholding(conn_matrix, thr, min_span_tree, dens_thresh, disp_filt):

After Change

    try:
        conn_matrix_thr = np.multiply(conn_matrix, conn_matrix_bin)
    except ValueError:
        print("Dimensionality inconsistent after MST thresholding. Check raw graph output manually for debugging.")

    return conn_matrix_thr

Instances