def compareLists(query, relevant_positional_index, possible_document_matches, db):
global positional_index
positional_index = relevant_positional_index
# songs that contain the sample from the query passed by the user
sampled_songs = dict()
# Searching through all of the documents with every word in the query to see if the words come one after another
for document in possible_document_matches:
# word: 1{20, 40, 67} == gives you [20, 40, 67]
max_substring_length = 1
for index, word in enumerate(query):
if max_substring_length >= len(query[index:]):
break
for position in positional_index[word]['document_dict'][document]:
# calling a recursive method to see if the song actually contains the query
substring_length_from_n = detectSample(position, query[index+1:], document, 1)
if substring_length_from_n > max_substring_length:
max_substring_length = substring_length_from_n
if max_substring_length == len(query):
print dBDelegate.getSongTitle(db, document)
# if the song does contain the query, add the document name to a list
if max_substring_length > len(query)*.25:
max_substring_length = max_substring_length * .5
if max_substring_length in sampled_songs:
sampled_songs[max_substring_length].append(document)
else:
sampled_songs[max_substring_length] = [document]
return sampled_songs
def sortTfidfValues(tfidf_values): print "****************************************************************" print "Top 20 TFIDF scores" sorted_tfidf = sorted(tfidf_values.items(), key=lambda x: (-x[1], x[0])) top_10_values = itertools.islice(sorted_tfidf, 0, 20) for song, tfidf in top_10_values: print dBDelegate.getSongTitle(db, song), tfidf
