#!//usr/bin/env python
max_digit=12
max_big=30
def get_add_operation():
import random
a=random.randint(1,max_big)
b=random.randint(1,a)
if random.random()<0.5:
return ('%d+%d?'%(a-b,b),a)
else:
return ('%d+%d?'%(b,a-b),a)
def get_mult_operation():
import random
a=random.randint(1,max_digit)
b=random.randint(1,max_digit)
return ('%dx%d?'%(a,b),a*b)
def get_minus_operation():
import random
a=random.randint(1,max_big)
b=random.randint(1,a)
return ('%d-%d?'%(a,b),a-b)
def get_div_operation():
import random
a=random.randint(1,max_digit)
b=random.randint(1,max_digit)
return ('%d/%d?'%(a*b,b),a)
op_funcs = [ get_add_operation, get_mult_operation, get_minus_operation, get_div_operation ]
def get_random_operation():
return random.choice(op_funcs)()
if __name__ == '__main__':
import time
import random
import cPickle
import sys
if len(sys.argv) < 2: raise "Usage : compute.py login"
ops_per_serie=15
try:
f=open("compute_stats_%s.pck" % sys.argv[1],"rb") #read stats on disk
operations=cPickle.load(f)
f.close()
op_list = operations.items()
op_list.sort(key=lambda i:sum(i[1][0])/len(i[1][0])) #sort by accuracy score
bad_ops = [a[0] for a in op_list if sum(a[1][0])/len(a[1][0]) < 0.9] #ops the user doesn't master
op_list.sort(key=lambda e:sum(e[1][1])/len(e[1][1]),reverse=True) #sort by answer time
bad_ops.extend([a[0] for a in op_list[:10]]) #ops the user is slow to answer
bad_ops=list(set(bad_ops)) #remove duplicates
except Exception, e:
operations={} #operations["5*2"] = [a,b,c,d,e] with a=1. if good, a=0. if wrong storing the 5 last results
before = time.time()
errors = 0
for i in range(ops_per_serie):
op_string,expected=get_random_operation()
if random.random() < len(bad_ops)/(1.5*ops_per_serie):#train user specifically on stuff he doesn't master
#print "training on bad op"
op_string,expected = random.choice(bad_ops)
#print len(bad_ops)/(1.5*ops_per_serie) #badop training probability
scores,answer_times=operations.get((op_string,expected),([],[]))
print op_string
before_op=time.time()
try:
answer = int(raw_input())
except:
answer = expected-1 # this should be always wrong
answer_time=time.time()-before_op
if len(scores) > 5 : scores.pop(0) # keep only 5 scores
if len(answer_times) > 5 : answer_times.pop(0) # keep only 5 timings
answer_times.append(answer_time)
if answer != expected:
errors += 1
scores.append(0.)
operations[(op_string,expected)] = (scores,answer_times)
print "WRONG!"
else:
scores.append(1.)
operations[(op_string,expected)] = (scores,answer_times)
print "good."
total_time = time.time() - before
print "Time: %.2fs, Errors : %d, Total points : %d" % (total_time,errors,100*ops_per_serie*(5.-errors)/total_time)
cPickle.dump(operations,open("compute_stats_%s.pck"%sys.argv[1],"wb"))