def runner__check_runner(self, identifier): # # VARIABLES # from environment import Environment from measurement import Measurement from runner import Runner # # CODE # # we need the environment environment_directory = 'environments/' environment = Environment(identifier) environment.read_environment_file("./" + environment_directory + identifier + ".xml") environment.initialize() # and we need to create an exogenous network environment.network.create_exogenous_network( environment.parameter.network_density) # and also a measurement measurement = Measurement() runner = Runner(identifier, environment, measurement) print runner print runner.do_run() print runner
def test_fire_sales(self, args): # TODO not consistent with other test names import logging import networkx as nx from environment import Environment from runner import Runner from measurement import Measurement # # INITIALIZATION # environment_directory = str(args[1]) identifier = str(args[2]) log_directory = str(args[3]) measurement_directory = str(args[4]) # Configure logging parameters so we get output while the program runs logging.basicConfig(format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %H:%M:%S', filename=log_directory + identifier + ".log", level=logging.INFO) logging.info('START logging for run: %s', environment_directory + identifier + ".xml") environment = Environment() environment.initialize(environment_directory, identifier) runner = Runner() measurement = Measurement() # # UPDATE STEP # for i in range(environment.parameters.numSimulations): environment.initialize(environment_directory, identifier) runner.initialize(environment) measurement.initialize() # clear the previous measurement # do the run runner.do_run(measurement, "info") # do the histograms, i.e. add the current measurement to the histogram measurement.do_histograms() logging.info('') # # MEASUREMENT AND LOGGING # measurement.write_histograms(measurement_directory, environment) logging.info('FINISHED logging for run: %s \n', environment_directory + identifier + ".xml")
def test_fire_sales(self, args): import logging import networkx as nx from environment import Environment from runner import Runner from measurement import Measurement # # INITIALIZATION # environment_directory = str(args[1]) identifier = str(args[2]) log_directory = str(args[3]) measurement_directory = str(args[4]) # Configure logging parameters so we get output while the program runs logging.basicConfig( format="%(asctime)s %(message)s", datefmt="%m/%d/%Y %H:%M:%S", filename=log_directory + identifier + ".log", level=logging.INFO, ) logging.info("START logging for run: %s", environment_directory + identifier + ".xml") environment = Environment() environment.initialize(environment_directory, identifier) runner = Runner() measurement = Measurement() # # UPDATE STEP # for i in range(environment.parameters.numSimulations): environment.initialize(environment_directory, identifier) runner.initialize(environment) measurement.initialize() # clear the previous measurement # do the run runner.do_run(measurement, "info") # do the histograms, i.e. add the current measurement to the histogram measurement.do_histograms() logging.info("") # # MEASUREMENT AND LOGGING # measurement.write_histograms(measurement_directory, environment) logging.info("FINISHED logging for run: %s \n", environment_directory + identifier + ".xml")
def measurement__write_measurement(self, identifier): # # VARIABLES # from environment import Environment from measurement import Measurement from runner import Runner # # CODE # # we need the environment environment_directory = 'environments/' measurement_directory = 'measurements/' environment = Environment(identifier) environment.read_environment_file("./" + environment_directory + identifier + ".xml") environment.initialize() # and we need to create an exogenous network environment.network.create_exogenous_network( environment.parameter.network_density) # and also a measurement measurement = Measurement() for agent in environment.network.network.nodes(): F0s = 1.0 F1s = 1.0 # we need the previous decisions of neighbors neighbors_previous_decision = [] for neighbor in environment.network.network.neighbors(agent): neighbors_previous_decision.append(neighbor.previous_x) agent.compute_decision(neighbors_previous_decision, environment.parameter.num_agents, F0s, F1s) runner = Runner(identifier, environment, measurement) print runner runner.do_run() print runner measurement.write_measurement(measurement_directory + identifier)
# UPDATE STEP # runner = Runner(identifier, environment, measurement) if environment.parameter.compute_goodness == "True": # compute_goodness = False if we have a normal run #print "NOW RUNNING: " + environment.identifier #start_time = datetime.now() #print "START: " + str(start_time) runner.compute_goodness() #end_time = datetime.now() #print "END: " + str(end_time) #print "TIME: " + str(end_time - start_time) + "\n" #measurement.write_measurement(measurement_directory + identifier) #logging.info('FINISHED logging for run: %s \n', environment_directory + identifier + ".xml") else: # we do *not* want to compute goodness print "NOW RUNNING: " + environment.identifier start_time = datetime.now() print "START: " + str(start_time) runner.do_run() end_time = datetime.now() print "END: " + str(end_time) print "TIME: " + str(end_time - start_time) + "\n" measurement.write_measurement(measurement_directory + identifier) logging.info('FINISHED logging for run: %s \n', environment_directory + identifier + ".xml")
environment_directory + identifier + ".xml") environment = Environment() environment.initialize(environment_directory, identifier) runner = Runner() measurement = Measurement() # # UPDATE STEP # for i in range(environment.parameters.numSimulations): logging.info(' STARTED with run %s', str(i)) environment.initialize(environment_directory, identifier) # check that environment file has been read correctly #environment.write_environment_file(identifier) runner.initialize(environment) measurement.initialize() # clear the previous measurement # do the run runner.do_run(measurement, "info") # do the histograms, i.e. add the current measurement to the histogram measurement.do_histograms() logging.info(' DONE') # # MEASUREMENT AND LOGGING # measurement.write_histograms(measurement_directory, environment) logging.info('FINISHED logging for run: %s \n', environment_directory + identifier + ".xml")
# Configure logging parameters so we get output while the program runs logging.basicConfig(format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %H:%M:%S', filename = log_directory + identifier + ".log", level=logging.INFO) logging.info('START logging for run: %s', environment_directory + identifier + ".xml") environment = Environment() environment.initialize(environment_directory, identifier) runner = Runner() measurement = Measurement() # # UPDATE STEP # for i in range(environment.parameters.numSimulations): logging.info(' STARTED with run %s', str(i)) environment.initialize(environment_directory, identifier) runner.initialize(environment) measurement.initialize() # clear the previous measurement # do the run runner.do_run(measurement, "info") # do the histograms, i.e. add the current measurement to the histogram measurement.do_histograms() logging.info(' DONE') # # MEASUREMENT AND LOGGING # measurement.write_histograms(measurement_directory, environment) logging.info('FINISHED logging for run: %s \n', environment_directory + identifier + ".xml")