hash((tuple(configuration.keys()),
tuple([(len(k) if isinstance(k, (dict, tuple, list)) else k)
for k in configuration.values()]))))
if debug_memory: start_tracemalloc() # DEBUG
# --- Also plotting the history of means
if interactive:
evaluation.plotHistoryOfMeans(envId) # XXX To plot without saving
# Evaluate just that env
evaluation.startOneEnv(envId, env)
# Display the final regrets and rankings for that env
evaluation.printLastRegrets(envId)
evaluation.printFinalRanking(envId)
evaluation.printRunningTimes(envId)
evaluation.printMemoryConsumption(envId)
evaluation.printNumberOfCPDetections(envId)
if debug_memory: display_top_tracemalloc() # DEBUG
# Sub folder with a useful name
subfolder = "SP__K{}_T{}_N{}__{}_algos".format(
env.nbArms, configuration['horizon'], configuration['repetitions'],
len(configuration['policies']))
plot_dir = os.path.join(PLOT_DIR, subfolder)
# Get the name of the output file
imagename = "main____env{}-{}_{}".format(envId + 1, N, hashvalue)
mainfig = os.path.join(plot_dir, imagename)
savefig = mainfig
picklename = mainfig + '.pickle'
hash((tuple(configuration.keys()),
tuple([(len(k) if isinstance(k, (dict, tuple, list)) else k)
for k in configuration.values()]))))
if debug_memory: start_tracemalloc() # DEBUG
# --- Also plotting the history of means
if interactive:
evaluation.plotHistoryOfMeans(envId) # XXX To plot without saving
# Evaluate just that env
evaluation.startOneEnv(envId, env)
# Display the final regrets and rankings for that env
evaluation.printLastRegrets(envId)
evaluation.printFinalRanking(envId, moreAccurate=True)
evaluation.printRunningTimes(envId)
evaluation.printMemoryConsumption(envId)
evaluation.printNumberOfCPDetections(envId)
if debug_memory: display_top_tracemalloc() # DEBUG
# Sub folder with a useful name
subfolder = "SP__K{}_T{}_N{}__{}_algos".format(
env.nbArms, configuration['horizon'], configuration['repetitions'],
len(configuration['policies']))
plot_dir = os.path.join(PLOT_DIR, subfolder)
# Get the name of the output file
imagename = "main____env{}-{}_{}".format(envId + 1, N, hashvalue)
mainfig = os.path.join(plot_dir, imagename)
savefig = mainfig
picklename = mainfig + '.pickle'