ind, gain = argMax_XleftOvers(left, s, wd, wr, query)
if gain < eps: # if the best gain is very small
break
s.append(left[ind]) # add to final rank
s_id.append([left[ind]["id"],
gain]) # add to final rank (take only id)
urls.append(left[ind]["url_b"])
del left[ind] # remove from X\S
if len(s) > num_Docs: # if we chose more than num_Docs
break
print ind, str(datetime.now())
querysRanks[query] = s_id # dict the ranks per query
print query, str(datetime.now())
if 1: #write an html per query with ordered urls
tot_suc = htmlwrite(query, s_id, urls)
if 1: # submission format
# get topics dict
topic_path = "../../devset_topics.xml"
topDict = dict_topics(topic_path)
res_path = pathRankings + "csluRanking.txt"
fout = open(res_path, "w")
run_id = "cslu"
itern = "0"
for query in testQueries: # for test set
q_ranks = querysRanks[query]
q_id = topDict[query]
for i, (docno, score) in enumerate(q_ranks):
fout.write("{0} {1} {2} {3} {4:" ">.2f} {5}".format(
q_id.ljust(7),
ind, gain = argMax_XleftOvers(left, s, wd, wr, query)
if gain < eps: # if the best gain is very small
break
s.append(left[ind]) # add to final rank
s_id.append([left[ind]["id"], gain]) # add to final rank (take only id)
urls.append(left[ind]["url_b"])
del left[ind] # remove from X\S
if len(s) > num_Docs: # if we chose more than num_Docs
break
print ind, str(datetime.now())
querysRanks[query] = s_id # dict the ranks per query
print query, str(datetime.now())
if 1: #write an html per query with ordered urls
tot_suc = htmlwrite(query, s_id, urls)
if 1: # submission format
# get topics dict
topic_path = "../../devset_topics.xml"
topDict = dict_topics(topic_path)
res_path = pathRankings+"csluRanking.txt"
fout = open(res_path, "w")
run_id = "cslu"
itern = "0"
for query in testQueries: # for test set
q_ranks = querysRanks[query]
q_id = topDict[query]
for i, (docno, score) in enumerate(q_ranks):
ind, gain = argMax_XleftOvers(left, s, wd, wr, query)
#if gain < eps: # if the best gain is very small
# break
s.append(left[ind]) # add to final rank
s_id.append([left[ind]["id"], gain]) # add to final rank (take only id)
urls.append(left[ind]["url_b"])
del left[ind] # remove from X\S
if len(s) > num_Docs: # if we chose more than num_Docs
break
print ind, str(datetime.now())
querysRanks[query] = s_id # dict the ranks per query
print query, str(datetime.now())
if 1: #write an html per query with ordered urls
ir_q, cov_q = htmlwrite(query, s_id, urls)
irl.append(ir_q)
cov.append(cov_q)
print "total irrelevance rate: ", sum(irl)/len(irl)
print "total coverage rate: ", sum(cov)/len(cov)
if 1: # submission format
# get topics dict
topic_path = "../../devset_topics.xml"
topDict = dict_topics(topic_path)
res_path = pathRankings+"csluRanking.txt"
fout = open(res_path, "w")
run_id = "cslu"
itern = "0"
ind, gain = argMax_XleftOvers(left, s, wd, wr, query)
#if gain < eps: # if the best gain is very small
# break
s.append(left[ind]) # add to final rank
s_id.append([left[ind]["id"],
gain]) # add to final rank (take only id)
urls.append(left[ind]["url_b"])
del left[ind] # remove from X\S
if len(s) > num_Docs: # if we chose more than num_Docs
break
print ind, str(datetime.now())
querysRanks[query] = s_id # dict the ranks per query
print query, str(datetime.now())
if 1: #write an html per query with ordered urls
ir_q, cov_q = htmlwrite(query, s_id, urls)
irl.append(ir_q)
cov.append(cov_q)
print "total irrelevance rate: ", sum(irl) / len(irl)
print "total coverage rate: ", sum(cov) / len(cov)
if 1: # submission format
# get topics dict
topic_path = "../../devset_topics.xml"
topDict = dict_topics(topic_path)
res_path = pathRankings + "csluRanking.txt"
fout = open(res_path, "w")
run_id = "cslu"
itern = "0"
for query in testQueries: # for test set
q_ranks = querysRanks[query]
