def test(): np.seterr(all="ignore") samples, otus, tree, data, table = ctwc__distance_matrix.get_data(True) output = ctwc_recursive_select(data, tree, samples, otus, table) #output = ctwc_select(data, tree, samples, otus, table) INFO("Full data size: {0} X {1}".format(data.shape[0], data.shape[1])) for elem in output: INFO("{0}: {1} X {2}".format(elem, output[elem][0], output[elem][1]))
def test(): np.seterr(all="ignore") samples, otus, tree, data, table = ctwc__distance_matrix.get_data(True) test_otu_distance_matrix(samples, otus, tree, data, table) test_sample_distance_matrix(samples, otus, tree, data, table)