def randIndexes(clustering_results):
'''
Calculate Rand index and adjusted Rand index over pairwise
clustering comparisons.
Use cythonised function to calculate indices
'''
# reassign module and gene labels with integer ids, integer comparison is
# much faster than string comparison
cluster_labels = clustering_results.values
map_dict = get_label_map(cluster_labels)
gene_map = {}
for r, gene in enumerate(clustering_results.index):
gene_map[gene] = r
E.info("mapping gene ids")
integer_matrix = make_mapped_matrix(map_dict, clustering_results)
# take a small slice of the matrix for testing 5 genes, 3 clusterings
E.info("counting clustering consensus")
# use cythonized function to return rand index matrix
cy_rand = Timeseries.consensus_metrics(integer_matrix)
E.info("Rand Index calculated for all clusterings")
return cy_rand
