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Fix formatting and typo (closes #967)

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Ines Montani 2017-04-16 23:56:12 +02:00 committed by GitHub
parent 734b0a4e4a
commit e7ae3b7cc2
1 changed files with 6 additions and 5 deletions
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11
examples/pos_tag.py
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@ -1,7 +1,8 @@
'''Print part-of-speech tagged, true-cased, (very roughly) sentence-separated """
Print part-of-speech tagged, true-cased, (very roughly) sentence-separated
text, with each "sentence" on a newline, and spaces between tokens. Supports text, with each "sentence" on a newline, and spaces between tokens. Supports
multi-processing. multi-processing.
''' """
from __future__ import print_function, unicode_literals, division from __future__ import print_function, unicode_literals, division
import io import io
import bz2 import bz2
@ -22,14 +23,14 @@ def parallelize(func, iterator, n_jobs, extra):
def iter_texts_from_json_bz2(loc): def iter_texts_from_json_bz2(loc):
''' """
Iterator of unicode strings, one per document (here, a comment). Iterator of unicode strings, one per document (here, a comment).
Expects a a path to a BZ2 file, which should be new-line delimited JSON. The Expects a a path to a BZ2 file, which should be new-line delimited JSON. The
document text should be in a string field titled 'body'. document text should be in a string field titled 'body'.
This is the data format of the Reddit comments corpus. This is the data format of the Reddit comments corpus.
''' """
with bz2.BZ2File(loc) as file_: with bz2.BZ2File(loc) as file_:
for i, line in enumerate(file_): for i, line in enumerate(file_):
yield ujson.loads(line)['body'] yield ujson.loads(line)['body']
@ -80,7 +81,7 @@ def is_sent_begin(word):
def main(in_loc, out_dir, n_workers=4, batch_size=100000): def main(in_loc, out_dir, n_workers=4, batch_size=100000):
if not path.exists(out_dir): if not path.exists(out_dir):
path.join(out_dir) path.join(out_dir)
texts = partition(batch_size, iter_texts(in_loc)) texts = partition(batch_size, iter_texts_from_json_bz2(in_loc))
parallelize(transform_texts, enumerate(texts), n_workers, [out_dir]) parallelize(transform_texts, enumerate(texts), n_workers, [out_dir])