def run_all_trials():
# runs all the trials and writes out all data into a json string saved to results.json
trials = db.get_all_trials()
trialsData = {}
# bits and pieces to let us print out something interesting
trialNum = 0
totalTrialNum = len(trials)
times = []
smallTrials = {};
# the main loop that analyzes each trial also check time to run and whether the trial is shorter than expected
for trial in trials:
if len(trial['moves']) < 40:
smallTrials[trial["_id"]] = len(trial['moves']);
startTime = time.time()
print "Runnning trial", trialNum, "of", totalTrialNum
trial = compare_trial(trial["_id"], move_probability)
# clean the trial so that it is serializable
trial['_id'] = str(trial['_id'])
trial['image_set'] = str(trial['image_set'].id)
trial.pop('init_state')
endTime = time.time()
totalTime = endTime - startTime
print "Completed trial", trialNum, "in", totalTime, "seconds"
print ""
times.append(totalTime)
trialNum += 1
# print out some information about the calculation
print "Done!"
print "Average time per trial: ", sum(times)/totalTrialNum, "seconds"
print "The following trials were smaller than expected: "
for key, value in smallTrials.iteritems():
print "\tTrial", key, "with", value, "moves"
# find a results file that does not yet exist
base = "./results"
name = base
number = 0
while os.path.exists(name + ".json"):
name = base + str(number)
number += 1
print "Saving results in", name, ".json"
f = open(name + ".json", 'w')
json.dump(trials, f)
f.close()
def run_all_trials_for_params():
# runs all the trials and writes out all data into a json string saved to results.json
trials = db.get_all_trials()
trialsData = {}
for trial in trials:
trial = compare_trial(trial['_id'], find_params_for_move)
# find a results file that does not yet exist
base = "./results"
name = base
number = 0
while os.path.exists(name + ".json"):
name = base + str(number)
number += 1
f = open(name + ".json", 'w')
json.dump(trials, f)
f.close()
