def run(f1_n,f2_n): t1 = codeParser(f1_n) t2 = codeParser(f2_n) vars1 = t1.get_varTypes() vars2 = t2.get_varTypes() t = aligner(vars1,vars2) return t.align()
def process_files(in_dir):
global WORDS, TRAIN
WORDS = in_dir+'words'
TRAIN = in_dir+'train.dat'
CORRECT_LIST = []
matches = []
#CORRECT_LIST = (open(in_dir+'train_corr','r')).readlines()
for line in (open(in_dir+'train_corr','r')).readlines():
if line.replace('\n','') != '':
CORRECT_LIST.append(line.replace('\n',''))
matches.append(line.replace('\n',''))
#print CORRECT_LIST
for line in open(in_dir+'train_wrong','r').readlines():
if line.replace('\n','') != '':
matches.append(line.replace('\n',''))
#print matches
#matches = (open(in_dir+'train_corr','r')).readlines() + (open(in_dir+'train_wrong','r')).readlines()
words_per_file = dict()
words = set()
length = str(len(matches))
count = 0
user_counter = 0
# first iteration through matches to get all words
for match in matches:
count +=1
print str(count) + " of " + length + " training example preprocessing done"
t = codeParser(match)
#if 'tweet' in get_all_words(match) :
# user_counter += 1
# print user_counter
words_per_file[match] = t.get_compressed()
words = words.union(words_per_file[match])
print "preliminary processing done"
train_f = open(TRAIN, 'w')
# second iteration through matches to get all word counts
count = 0
calc_freq = tfidf(words, words_per_file)
print "Done calculating idfs"
#print "PARAM " + str(calc_freq.getIDF('@param'))
for match in matches:
count +=1
print str(count) + " of " + length + " training examples done"
if match in CORRECT_LIST:
#print calc_freq.term_freq('tweet',words_per_file[match])
train_f.write('+1')
#print len(words_per_file[match])
else:
train_f.write('-1')
train_f.write(str(get_word_counts(words_per_file[match], words, calc_freq)))
train_f.write('\n')
train_f.close()
print "Results printed to file: " + str(TRAIN)
def run_varObj(f1_n): t = codeParser(f1_n) print "Testing " + f1_n + ' \n' counter = 1 for var in t.get_listOf_variableObj(): print '\n' print "Variable " + str(counter) + ':' print 'Type: ' + var.get_type() print 'Name: ' + var.get_name() print 'Declaration: ' + var.get_declaration() print 'Usage: ' + str(var.get_usage()) counter += 1
def __init__(self,input_f1, input_f2):
self.vars_1 = (codeParser(input_f1)).get_varTypes()
self.vars_2 = (codeParser(input_f2)).get_varTypes()
self.vars_list_1 = (codeParser(input_f1)).get_listOf_variableObj()
self.vars_list_2 = (codeParser(input_f2)).get_listOf_variableObj()
self.method_list_1 = (codeParser(input_f1)).get_listOf_methodObj()
self.method_list_2 = (codeParser(input_f2)).get_listOf_methodObj()
self.lines_1 = open(input_f1,'r').readlines()
self.lines_2 = open(input_f2,'r').readlines()
#! /usr/local/bin/python from codeParser import codeParser f1_n = '../../code_corpus/search_code/cat_sm' #f1_n = '../raw_code/test_1' #f1_n = '../../code_corpus/regular_code/XmlResponsesSaxParser.java_30_code_mod' t = codeParser(f1_n) print t.get_compressed()
#! /usr/local/bin/python from codeParser import codeParser from aligner import aligner f1_n = '../raw_code/test_1' f2_n = '../raw_code/test_2' #f1_n = '../../code_corpus/regular_code/XmlResponsesSaxParser.java_30_code_mod' t1 = codeParser(f1_n) t2 = codeParser(f2_n) vars1 = t1.get_varTypes() vars2 = t2.get_varTypes() t = aligner(vars1,vars2) print t.align()
def process_files(in_dir):
words_per_file = dict()
t_words_per_file = dict()
'''for root, dirnames, filenames in os.walk(DIR_NAME):
for filename in fnmatch.filter(filenames, MATCH):
matches.append(os.path.join(root, filename))
'''
global WORDS, TRAIN
WORDS = in_dir+'words'
TEST = in_dir+'test.dat'
## SHOULD TFIDF be calc adding in test_data?
TRAIN_SET = []
for line in (open(in_dir+'train_corr','r')).readlines():
if line.replace('\n','') != '':
TRAIN_SET.append(line.replace('\n',''))
for line in (open(in_dir+'train_wrong','r')).readlines():
if line.replace('\n','') != '':
TRAIN_SET.append(line.replace('\n',''))
for t_match in TRAIN_SET:
t = codeParser(t_match)
t_words_per_file[t_match] = t.get_compressed()
CORRECT_LIST = []
matches = []
for line in (open(in_dir+'test_corr','r')).readlines():
if line.replace('\n','') != '':
CORRECT_LIST.append(line.replace('\n',''))
matches.append(line.replace('\n',''))
for line in open(in_dir+'test_wrong','r').readlines():
if line.replace('\n','') != '':
matches.append(line.replace('\n',''))
words = get_all_words_file()
length = str(len(matches))
count = 0
# first iteration through matches to get all words
for match in matches:
count +=1
t = codeParser(t_match)
print str(count) + " of " + length + " test example preprocessing done"
words_per_file[match] = t.get_compressed()
print "preliminary processing done"
train_f = open(TEST, 'w')
# second iteration through matches to get all word counts
count = 0
# TODO: should this be t_words_per_file, words_per_file or the combination???
calc_freq = tfidf(words, t_words_per_file)
print "Done calculating idfs"
#print "PARAM " + str(calc_freq.getIDF('@param'))
for match in matches:
count +=1
print str(count) + " of " + length + " testing examples done"
if match in CORRECT_LIST:
train_f.write('+1')
else:
train_f.write('-1')
train_f.write(str(get_word_counts(words_per_file[match], words, calc_freq)))
train_f.write('\n')
train_f.close()
print "Results printed to file: " + str(TEST)