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")
