diff options
Diffstat (limited to 'babel/messages/catalog.py')
| -rw-r--r-- | babel/messages/catalog.py | 43 |
1 files changed, 36 insertions, 7 deletions
diff --git a/babel/messages/catalog.py b/babel/messages/catalog.py index dead4aa..a500e77 100644 --- a/babel/messages/catalog.py +++ b/babel/messages/catalog.py @@ -14,8 +14,9 @@ import re from collections import OrderedDict from collections.abc import Iterable, Iterator from copy import copy -from difflib import get_close_matches +from difflib import SequenceMatcher from email import message_from_string +from heapq import nlargest from typing import TYPE_CHECKING from babel import __version__ as VERSION @@ -31,6 +32,31 @@ if TYPE_CHECKING: __all__ = ['Message', 'Catalog', 'TranslationError'] +def get_close_matches(word, possibilities, n=3, cutoff=0.6): + """A modified version of ``difflib.get_close_matches``. + + It just passes ``autojunk=False`` to the ``SequenceMatcher``, to work + around https://github.com/python/cpython/issues/90825. + """ + if not n > 0: + raise ValueError("n must be > 0: %r" % (n,)) + if not 0.0 <= cutoff <= 1.0: + raise ValueError("cutoff must be in [0.0, 1.0]: %r" % (cutoff,)) + result = [] + s = SequenceMatcher(autojunk=False) # only line changed from difflib.py + s.set_seq2(word) + for x in possibilities: + s.set_seq1(x) + if s.real_quick_ratio() >= cutoff and \ + s.quick_ratio() >= cutoff and \ + s.ratio() >= cutoff: + result.append((s.ratio(), x)) + + # Move the best scorers to head of list + result = nlargest(n, result) + # Strip scores for the best n matches + return [x for score, x in result] + PYTHON_FORMAT = re.compile(r''' \% @@ -803,10 +829,13 @@ class Catalog: # Prepare for fuzzy matching fuzzy_candidates = [] if not no_fuzzy_matching: - fuzzy_candidates = { - self._key_for(msgid): messages[msgid].context - for msgid in messages if msgid and messages[msgid].string - } + fuzzy_candidates = {} + for msgid in messages: + if msgid and messages[msgid].string: + key = self._key_for(msgid) + ctxt = messages[msgid].context + modified_key = key.lower().strip() + fuzzy_candidates[modified_key] = (key, ctxt) fuzzy_matches = set() def _merge(message: Message, oldkey: tuple[str, str] | str, newkey: tuple[str, str] | str) -> None: @@ -861,8 +890,8 @@ class Catalog: matches = get_close_matches(matchkey.lower().strip(), fuzzy_candidates.keys(), 1) if matches: - newkey = matches[0] - newctxt = fuzzy_candidates[newkey] + modified_key = matches[0] + newkey, newctxt = fuzzy_candidates[modified_key] if newctxt is not None: newkey = newkey, newctxt _merge(message, newkey, key) |