def combine_lists(languages):
lines = []
for language in languages:
sources = source_names(language)
input_files = [
wordlist_filename(source, language, 'counts.txt')
for source in sources
]
output_file = wordlist_filename('combined', language)
add_dep(lines, 'merge', input_files, output_file,
extra='wordfreq_builder/word_counts.py',
params={'cutoff': 2, 'lang': language})
output_cBpack = wordlist_filename(
'combined-dist', language, 'msgpack.gz'
)
output_cBpack_big = wordlist_filename(
'combined-dist-large', language, 'msgpack.gz'
)
add_dep(lines, 'freqs2cB', output_file, output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={'lang': language, 'buckets': 600})
add_dep(lines, 'freqs2cB', output_file, output_cBpack_big,
extra='wordfreq_builder/word_counts.py',
params={'lang': language, 'buckets': 800})
lines.append('default {}'.format(output_cBpack))
if language in CONFIG['big-lists']:
lines.append('default {}'.format(output_cBpack_big))
# 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')
add_dep(lines, 'freqs2cB', input_file, output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={'lang': language, 'buckets': 600})
lines.append('default {}'.format(output_cBpack))
# Write a Jieba-compatible frequency file for Chinese tokenization
chinese_combined = wordlist_filename('combined', 'zh')
jieba_output = wordlist_filename('jieba-dist', 'zh')
add_dep(lines, 'counts_to_jieba', chinese_combined, jieba_output,
extra=['wordfreq_builder/word_counts.py', 'wordfreq_builder/cli/counts_to_jieba.py'])
lines.append('default {}'.format(jieba_output))
return lines
def combine_lists(languages):
lines = []
for language in languages:
sources = source_names(language)
input_files = [
wordlist_filename(source, language, 'counts.txt')
for source in sources
]
output_file = wordlist_filename('combined', language)
add_dep(lines,
'merge',
input_files,
output_file,
extra='wordfreq_builder/word_counts.py')
output_cBpack = wordlist_filename('combined-dist', language,
'msgpack.gz')
add_dep(lines,
'freqs2cB',
output_file,
output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={'lang': language})
lines.append('default {}'.format(output_cBpack))
# 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')
add_dep(lines,
'freqs2cB',
input_file,
output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={'lang': language})
lines.append('default {}'.format(output_cBpack))
return lines
def combine_lists(languages):
lines = []
for language in languages:
sources = source_names(language)
input_files = [wordlist_filename(source, language, "counts.txt") for source in sources]
output_file = wordlist_filename("combined", language)
add_dep(lines, "merge", input_files, output_file, extra="wordfreq_builder/word_counts.py")
output_cBpack = wordlist_filename("combined-dist", language, "msgpack.gz")
add_dep(
lines,
"freqs2cB",
output_file,
output_cBpack,
extra="wordfreq_builder/word_counts.py",
params={"lang": language},
)
lines.append("default {}".format(output_cBpack))
# 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")
add_dep(
lines,
"freqs2cB",
input_file,
output_cBpack,
extra="wordfreq_builder/word_counts.py",
params={"lang": language},
)
lines.append("default {}".format(output_cBpack))
return lines
def combine_lists(languages):
lines = []
for language in languages:
sources = source_names(language)
input_files = [
wordlist_filename(source, language, 'counts.txt')
for source in sources
]
output_file = wordlist_filename('combined', language)
add_dep(lines,
'merge',
input_files,
output_file,
extra='wordfreq_builder/word_counts.py',
params={
'cutoff': 2,
'lang': language
})
output_cBpack = wordlist_filename('combined-dist', language,
'msgpack.gz')
output_cBpack_big = wordlist_filename('combined-dist-large', language,
'msgpack.gz')
add_dep(lines,
'freqs2cB',
output_file,
output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={
'lang': language,
'buckets': 600
})
add_dep(lines,
'freqs2cB',
output_file,
output_cBpack_big,
extra='wordfreq_builder/word_counts.py',
params={
'lang': language,
'buckets': 800
})
lines.append('default {}'.format(output_cBpack))
if language in CONFIG['big-lists']:
lines.append('default {}'.format(output_cBpack_big))
# 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')
add_dep(lines,
'freqs2cB',
input_file,
output_cBpack,
extra='wordfreq_builder/word_counts.py',
params={
'lang': language,
'buckets': 600
})
lines.append('default {}'.format(output_cBpack))
# Write a Jieba-compatible frequency file for Chinese tokenization
chinese_combined = wordlist_filename('combined', 'zh')
jieba_output = wordlist_filename('jieba-dist', 'zh')
add_dep(lines,
'counts_to_jieba',
chinese_combined,
jieba_output,
extra=[
'wordfreq_builder/word_counts.py',
'wordfreq_builder/cli/counts_to_jieba.py'
])
lines.append('default {}'.format(jieba_output))
return lines