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Update vendored guessit to 3.1.1

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Updates python-dateutil to 2.8.2
Updates rebulk to 2.0.1
This commit is contained in:
Labrys of Knossos 2022-11-28 19:44:46 -05:00
commit 2226a74ef8
66 changed files with 2995 additions and 1306 deletions
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35
libs/common/dateutil/tz/_factories.py
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@ -1,4 +1,8 @@
from datetime import timedelta
import weakref
from collections import OrderedDict
from six.moves import _thread
class _TzSingleton(type):
@ -11,6 +15,7 @@ class _TzSingleton(type):
cls.__instance = super(_TzSingleton, cls).__call__()
return cls.__instance
class _TzFactory(type):
def instance(cls, *args, **kwargs):
"""Alternate constructor that returns a fresh instance"""
@ -19,7 +24,11 @@ class _TzFactory(type):
class _TzOffsetFactory(_TzFactory):
def __init__(cls, *args, **kwargs):
cls.__instances = {}
cls.__instances = weakref.WeakValueDictionary()
cls.__strong_cache = OrderedDict()
cls.__strong_cache_size = 8
cls._cache_lock = _thread.allocate_lock()
def __call__(cls, name, offset):
if isinstance(offset, timedelta):
@ -31,12 +40,25 @@ class _TzOffsetFactory(_TzFactory):
if instance is None:
instance = cls.__instances.setdefault(key,
cls.instance(name, offset))
# This lock may not be necessary in Python 3. See GH issue #901
with cls._cache_lock:
cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance)
# Remove an item if the strong cache is overpopulated
if len(cls.__strong_cache) > cls.__strong_cache_size:
cls.__strong_cache.popitem(last=False)
return instance
class _TzStrFactory(_TzFactory):
def __init__(cls, *args, **kwargs):
cls.__instances = {}
cls.__instances = weakref.WeakValueDictionary()
cls.__strong_cache = OrderedDict()
cls.__strong_cache_size = 8
cls.__cache_lock = _thread.allocate_lock()
def __call__(cls, s, posix_offset=False):
key = (s, posix_offset)
@ -45,5 +67,14 @@ class _TzStrFactory(_TzFactory):
if instance is None:
instance = cls.__instances.setdefault(key,
cls.instance(s, posix_offset))
# This lock may not be necessary in Python 3. See GH issue #901
with cls.__cache_lock:
cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance)
# Remove an item if the strong cache is overpopulated
if len(cls.__strong_cache) > cls.__strong_cache_size:
cls.__strong_cache.popitem(last=False)
return instance