def exportAll():
creativityContainer = rank.getRank("creativity")
complexityContainer = rank.getRank("complexity")
efficiencyContainer = rank.getRank("efficiency")
executionContainer = rank.getRank("execution")
appearanceContainer = rank.getRank("appearance")
compositeContainer = rank.getRank("composite")
print("")
print("creativity rankings:")
display(creativityContainer)
print("")
print("complexity rankings:")
display(complexityContainer)
print("")
print("efficiency rankings:")
display(efficiencyContainer)
print("")
print("execution rankings:")
display(executionContainer)
print("")
print("appearance rankings:")
display(appearanceContainer)
print("")
print("composite rankings:")
display(compositeContainer)
f = open(root + "rankings.csv", "a")
f.write(
"group,creativity,complexity,efficiency,execution,appearance,composite\n"
)
groups = getGroups()
for i in range(len(groups)):
f.write(str(groups[i]) + ",")
scoreContainer = []
scoreContainer.append(rank.getScore(groups[i], "creativity"))
scoreContainer.append(rank.getScore(groups[i], "complexity"))
scoreContainer.append(rank.getScore(groups[i], "efficiency"))
scoreContainer.append(rank.getScore(groups[i], "execution"))
scoreContainer.append(rank.getScore(groups[i], "appearance"))
scoreContainer.append(rank.getScore(groups[i], "composite"))
for j in range(len(scoreContainer)):
f.write(str(scoreContainer[j]))
if j != len(scoreContainer) - 1:
f.write(",")
f.write("\n")
@printRunningTime
def rse(steps, rankList):
eachSize = len(steps) / SAMPLE_TIME / SAMPLE_COUNT
outputs = []
for k in range(TOP):
f = open('sample-%d.txt' % (k + 1), 'w')
outputs.append(f)
for i in range(1, SAMPLE_TIME + 1):
size = eachSize * i
print 'counting:', size
for j in range(TOP):
freq = count(steps[j * size : (j + 1) * size])
ranks = getRank(freq, rankList)
for k, r in enumerate(ranks):
outputs[k].write(str(r))
if j != TOP - 1:
outputs[k].write(',')
for output in outputs:
output.write('\n')
for output in outputs:
output.close()
if __name__ == '__main__':
steps = rw.readSteps()
rank = rank.getRank()
rse(steps, rank[:TOP])
import rank
import rw
from collections import Counter
fout = open("rank-1.txt", "w")
steps = rw.readSteps()
size = len(steps) / 10000
tid = str(rank.getRank(1)[0])
for i in range(10000):
print "size", size * i
counter = Counter([str(s) for s in steps[i * size : (i + 1) * size]])
rank = 0
count = 0
for r, item in enumerate(counter.most_common()):
if item[0] == tid:
rank = r + 1
count = item[1]
print "find"
break
fout.write("%d\t%d\n" % (rank, count))
fout.close()
def h3():
dataMap = getRank()
data = json.dumps(dataMap)
rsp = make_response(data)
rsp.headers['Access-Control-Allow-Origin'] = '*'
return rsp
import rank
import rw
from collections import Counter
fout = open('rank-1.txt', 'w')
steps = rw.readSteps()
size = len(steps) / 10000
tid = str(rank.getRank(1)[0])
for i in range(10000):
print 'size', size * i
counter = Counter([str(s) for s in steps[i * size:(i + 1) * size]])
rank = 0
count = 0
for r, item in enumerate(counter.most_common()):
if item[0] == tid:
rank = r + 1
count = item[1]
print 'find'
break
fout.write('%d\t%d\n' % (rank, count))
fout.close()
@printRunningTime
def rse(steps, rankList):
eachSize = len(steps) / SAMPLE_TIME / SAMPLE_COUNT
outputs = []
for k in range(TOP):
f = open('sample-%d.txt' % (k + 1), 'w')
outputs.append(f)
for i in range(1, SAMPLE_TIME + 1):
size = eachSize * i
print 'counting:', size
for j in range(TOP):
freq = count(steps[j * size:(j + 1) * size])
ranks = getRank(freq, rankList)
for k, r in enumerate(ranks):
outputs[k].write(str(r))
if j != TOP - 1:
outputs[k].write(',')
for output in outputs:
output.write('\n')
for output in outputs:
output.close()
if __name__ == '__main__':
steps = rw.readSteps()
rank = rank.getRank()
rse(steps, rank[:TOP])
