import os import exp_module.build as bld import exp_module.statistics as stats import exp_module.io as io files = ["../datasets/mod_instance5_0.75-1050"] for i in range(len(files)): io.init_exp() try: for filename in os.listdir(files[i]): file_path = files[i] + "/" + filename if (file_path[-3:] == "cnf"): (G, n, m, c, Q, s) = bld.make_graph_from_levy_file(file_path) data = stats.check_graph(G, file_path, n, m, c, Q, s) io.write_output(data) io.print_stats(data) except KeyboardInterrupt: import sys io.close_exp() sys.exit() io.close_exp()
import os import exp_module.build as bld import exp_module.statistics as stats import exp_module.io as io files = ["easy_synth"] for i in range(len(files)): io.init_exp() try: for filename in os.listdir(files[i]): file_path = files[i] + "/" + filename (G, n, m) = bld.make_graph_from_file(file_path) data = stats.check_graph(G, file_path, n, m, None, None, None) io.write_output(data) io.print_stats(data) except KeyboardInterrupt: import sys io.close_exp() sys.exit() io.close_exp()
import os import exp_module.build as bld import exp_module.statistics as stats import exp_module.io as io files = ["easy_synth"] for i in range(len(files)): io.init_exp() try: for filename in os.listdir(files[i]): file_path = files[i] + "/" + filename (G, n, m) = bld.make_graph_from_file(file_path) data = stats.check_graph(G, filename, n, m, None, None) io.write_output(data) io.print_stats(data) except KeyboardInterrupt: import sys io.close_exp() sys.exit() io.close_exp()
#desired approximate Q-value APPROX_Q = 0.95 #----------------------------------------------------------------------------# # # # Main Functions # # # #----------------------------------------------------------------------------# io.init_exp() try: for vrs in range(*VARS_DATA): clas = int(vrs * CTV_RATIO) for i in range(NUM_PER_ITER): (G, CNF) = bld.make_graph(vrs, clas, 1, 0) rand = stats.check_graph(G, CNF, vrs, clas, 1, 0) io.write_output(rand) io.print_stats(rand) except KeyboardInterrupt: import sys io.close_exp() sys.exit() io.close_exp() for grp in range(*GRP_DATA): io.init_exp() try: for vrs1 in range(*VARS_DATA): vrs = vrs1 * grp clas = int(vrs * CTV_RATIO) for i in range(NUM_PER_ITER):