def handle_data(self):
'''
Note:
The word item site from the line number to doc file offset
'''
with open(self.doc_id_output, 'w+') as doc_file, \
open(self.corpus, 'r') as corpus:
doclen = 0
for line in corpus:
offset_inline = 0
match = match_docheader(line)
if match:
self.doc_id += 1
self.doc_offset = 0
if self.doc_id > 1 and doclen > 0:
doc_file.write(str(doclen) + '\n')
doclen = 0
doc_file.write(match.groups()[0] + ' ' + str(self.doc_id) +
' ')
line_words = split_words(line)
doclen += len(line_words)
lastword = ''
for word in line_words:
offset_inline = line.find(word,
offset_inline + len(lastword))
lastword = word
# Stem reduction
word = stem(word).lower()
if word not in self.stop_word and len(word) != 0:
self.__add_word_index(word,
self.doc_offset + offset_inline)
self.doc_offset = self.doc_offset + len(line)
doc_file.write(str(doclen))
def handle_data(self): ''' Note: The word item site from the line number to doc file offset ''' with open(self.doc_id_output, 'w+') as doc_file, \ open(self.corpus, 'r') as corpus: doclen = 0 for line in corpus: offset_inline = 0 match = match_docheader(line) if match: self.doc_id += 1 self.doc_offset = 0 if self.doc_id > 1 and doclen > 0: doc_file.write(str(doclen)+'\n') doclen = 0 doc_file.write(match.groups()[0]+' '+str(self.doc_id)+ ' ') line_words = split_words(line) doclen += len(line_words) lastword = '' for word in line_words: offset_inline = line.find(word, offset_inline + len(lastword)) lastword = word # Stem reduction word = stem(word).lower() if word not in self.stop_word and len(word) != 0: self.__add_word_index(word, self.doc_offset + offset_inline) self.doc_offset = self.doc_offset + len(line) doc_file.write(str(doclen))
def stem_query(query_string):
return filter(lambda word: stem(word).lower(), query_string)
def stem_query(query_string):
return filter(lambda word: stem(word).lower(), query_string)
