Viewing file:  wordlists.py (1.51 KB) -rw-r--r--
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"""Wordlists loaded from package data.
We can treat them as part of the code for the imperative mood check, and
therefore we load them at import time, rather than on-demand.
"""
import pkgutil
import re
from typing import Dict, Iterator, Set
import snowballstemmer
#: Regular expression for stripping comments from the wordlists
COMMENT_RE = re.compile(r'\s*#.*')
#: Stemmer function for stemming words in English
stem = snowballstemmer.stemmer('english').stemWord
def load_wordlist(name: str) -> Iterator[str]:
"""Iterate over lines of a wordlist data file.
`name` should be the name of a package data file within the data/
directory.
Whitespace and #-prefixed comments are stripped from each line.
"""
data = pkgutil.get_data('pydocstyle', 'data/' + name)
if data is not None:
text = data.decode('utf8')
for line in text.splitlines():
line = COMMENT_RE.sub('', line).strip()
if line:
yield line
def make_imperative_verbs_dict(wordlist: Iterator[str]) -> Dict[str, Set[str]]:
"""Create a dictionary mapping stemmed verbs to the imperative form."""
imperative_verbs = {} # type: Dict[str, Set[str]]
for word in wordlist:
imperative_verbs.setdefault(stem(word), set()).add(word)
return imperative_verbs
IMPERATIVE_VERBS = make_imperative_verbs_dict(load_wordlist('imperatives.txt'))
#: Words that are forbidden to appear as the first word in a docstring
IMPERATIVE_BLACKLIST = set(load_wordlist('imperatives_blacklist.txt'))
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