iskm/wordfreq
1
0
Fork 0
mirror of https://github.com/rspeer/wordfreq.git synced 2024-12-23 17:31:41 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

ninja.py is now pep8 compliant

Browse Source 
Former-commit-id: accb7e398c
This commit is contained in:
Joshua Chin 2015-07-20 11:06:58 -04:00
parent 3b6b8d3ab1
commit 98cbef4ecf
1 changed files with 29 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

43
wordfreq_builder/wordfreq_builder/ninja.py
View File

@ -92,11 +92,15 @@ def wikipedia_deps(dirname_in, languages):
add_dep(lines, 'wiki2text', input_file, plain_text_file)
if language == 'ja':
mecab_token_file = wordlist_filename('wikipedia', language, 'mecab-tokens.txt')
add_dep(lines, 'tokenize_japanese', plain_text_file, mecab_token_file)
add_dep(lines, 'count', mecab_token_file, count_file, params={'lang': language})
mecab_token_file = wordlist_filename(
'wikipedia', language, 'mecab-tokens.txt')
add_dep(
lines, 'tokenize_japanese', plain_text_file, mecab_token_file)
add_dep(lines, 'count', mecab_token_file,
count_file, params={'lang': language})
else:
add_dep(lines, 'count', plain_text_file, count_file, params={'lang': language})
add_dep(lines, 'count', plain_text_file,
count_file, params={'lang': language})
return lines
@ -117,15 +121,18 @@ def google_books_deps(dirname_in):
return lines
def twitter_deps(input_filename, slice_prefix, combined_prefix, slices, languages):
def twitter_deps(input_filename, slice_prefix, combined_prefix, slices,
languages):
lines = []
slice_files = ['{prefix}.part{num:0>2d}'.format(prefix=slice_prefix, num=num)
slice_files = ['{prefix}.part{num:0>2d}'.format(prefix=slice_prefix,
num=num)
for num in range(slices)]
# split the input into slices
add_dep(lines, 'split', input_filename, slice_files,
params={'prefix': '{}.part'.format(slice_prefix), 'slices': slices})
params={'prefix': '{}.part'.format(slice_prefix),
'slices': slices})
for slicenum in range(slices):
slice_file = slice_files[slicenum]
@ -140,7 +147,9 @@ def twitter_deps(input_filename, slice_prefix, combined_prefix, slices, language
combined_output = wordlist_filename('twitter', language, 'tokens.txt')
language_inputs = [
'{prefix}.{lang}.txt'.format(prefix=slice_files[slicenum], lang=language)
'{prefix}.{lang}.txt'.format(
prefix=slice_files[slicenum], lang=language
)
for slicenum in range(slices)
]
@ -149,11 +158,14 @@ def twitter_deps(input_filename, slice_prefix, combined_prefix, slices, language
count_file = wordlist_filename('twitter', language, 'counts.txt')
if language == 'ja':
mecab_token_file = wordlist_filename('twitter', language, 'mecab-tokens.txt')
add_dep(lines, 'tokenize_japanese', combined_output, mecab_token_file)
mecab_token_file = wordlist_filename(
'twitter', language, 'mecab-tokens.txt')
add_dep(
lines, 'tokenize_japanese', combined_output, mecab_token_file)
combined_output = mecab_token_file
add_dep(lines, 'count', combined_output, count_file, extra='wordfreq_builder/tokenizers.py',
add_dep(lines, 'count', combined_output, count_file,
extra='wordfreq_builder/tokenizers.py',
params={'lang': language})
return lines
@ -177,7 +189,8 @@ def opensubtitles_deps(dirname_in, languages):
input_file = '{prefix}/{lang}.txt'.format(
prefix=dirname_in, lang=language
)
reformatted_file = wordlist_filename('opensubtitles', language, 'counts.txt')
reformatted_file = wordlist_filename(
'opensubtitles', language, 'counts.txt')
add_dep(lines, 'convert_opensubtitles', input_file, reformatted_file)
return lines
@ -195,7 +208,8 @@ def combine_lists(languages):
add_dep(lines, 'merge', input_files, output_file,
extra='wordfreq_builder/word_counts.py')
output_cBpack = wordlist_filename('combined-dist', language, 'msgpack.gz')
output_cBpack = wordlist_filename(
'combined-dist', language, 'msgpack.gz')
add_dep(lines, 'freqs2cB', output_file, output_cBpack,
extra='wordfreq_builder/word_counts.py')
@ -204,7 +218,8 @@ def combine_lists(languages):
# Write standalone lists for Twitter frequency
if language in CONFIG['sources']['twitter']:
input_file = wordlist_filename('twitter', language, 'counts.txt')
output_cBpack = wordlist_filename('twitter-dist', language, 'msgpack.gz')
output_cBpack = wordlist_filename(
'twitter-dist', language, 'msgpack.gz')
add_dep(lines, 'freqs2cB', input_file, output_cBpack,
extra='wordfreq_builder/word_counts.py')