def submit_predictions(self, curs, schema_instance, prediction_pair2instance, cluster_id2properties):
sys.stderr.write("Submitting predictions...\n")
MpiPredictionFilter_instance = MpiPredictionFilter()
MpiPredictionFilter_instance.createGeneTable(curs, schema_instance.p_gene_table)
no_of_total_genes = get_no_of_total_genes(curs)
go_no2gene_no_set = get_go_no2gene_no_set(curs)
counter = 0
for prediction_pair, p_attr_instance in prediction_pair2instance.iteritems():
#1st fill those empty items
properties = cluster_id2properties[p_attr_instance.mcl_id]
vertex_set = properties[2]
p_attr_instance.p_value_cut_off = cal_hg_p_value(p_attr_instance.gene_no, p_attr_instance.go_no,\
vertex_set, no_of_total_genes, go_no2gene_no_set, r)
p_attr_instance.avg_p_value = p_attr_instance.p_value_cut_off
p_attr_instance.connectivity_cut_off = properties[0]
p_attr_instance.cluster_size_cut_off = len(vertex_set)
p_attr_instance.unknown_cut_off = properties[1]
MpiPredictionFilter_instance.submit_to_p_gene_table(curs, schema_instance.p_gene_table, p_attr_instance)
counter += 1
if self.report and counter%2000==0:
sys.stderr.write("%s%s"%('\x08'*20, counter))
if self.report:
sys.stderr.write("%s%s"%('\x08'*20, counter))
sys.stderr.write("Done.\n")
