def test_multicore_simulation_output(self):
'''Verify the multi-core run produces an output file'''
output_file = os.path.join(tempfile.gettempdir(), 'multi_core.csv')
sensornetwork.run_simulation(num_simulations=2, num_cycles=self.mean_time_to_failure*3,
part_configurations=self.part_configs, start_time=0, fname=output_file)
self.assertTrue(os.path.getsize(output_file) > 0)
os.remove(output_file)
def main():
'''Main entry point of the program'''
parser = argparse.ArgumentParser(description='Monte Carlo ALT simulation')
parser.add_argument('-n', action="store", type=int, default=1000,
dest="num_sims", help="Specify number of simulations to run (default 1000)")
parser.add_argument('-m', action="store_true", default=False,
dest='multicore', help='Use multiprocess mode (defaults to single process)')
parser.add_argument('-o', action="store", type=str, default="results.csv",
dest='output_file', help="Store output in specified file")
parser.add_argument('-c', action="store_true", default=False,
dest='check_results', help='Analyze the results and report if the network appears valid')
parser.add_argument('-t', action='store', type=float, default=0.1,
dest='collision_threshold', help='Specifies tolerance for calling a collision (defaults to 0.1)')
args = parser.parse_args()
part_configurations = build_part_configs()
number_of_cycles = 3*part_configurations[0].get('mttf')
if not args.multicore:
print("Running single process: {0} simulations, output saved to '{1}'\n".format(
args.num_sims, args.output_file))
sensornetwork.run_simulation(num_simulations=args.num_sims, num_cycles=number_of_cycles,
part_configurations=part_configurations, start_time=0, fname=args.output_file)
else:
print("Running multiple processes: {0} simulations, output saved to '{1}'\n".format(
args.num_sims, args.output_file))
sensornetwork.multirun_simulation(num_simulations=args.num_sims, num_cycles=number_of_cycles,
part_configurations=part_configurations, start_time=0, fname=args.output_file)
if args.check_results:
print("Analyzing results")
analyzer = analysis.Analysis(args.output_file, threshold=args.collision_threshold)
obvious_collisions = analyzer.check_obvious_collisions()
num_collisions = len(obvious_collisions)
if num_collisions == 0:
print("No obvious collisions found.")
else:
print("{0} obvious collisions found.".format(num_collisions))
