cadquery-freecad-module/Libs/tinydb/utils.py
2018-12-29 06:10:03 -05:00

139 lines
3.7 KiB
Python

"""
Utility functions.
"""
import warnings
from collections import OrderedDict
from contextlib import contextmanager
# Python 2/3 independant dict iteration
iteritems = getattr(dict, 'iteritems', dict.items)
itervalues = getattr(dict, 'itervalues', dict.values)
class LRUCache:
# @param capacity, an integer
def __init__(self, capacity=None):
self.capacity = capacity
self.__cache = OrderedDict()
@property
def lru(self):
return list(self.__cache.keys())
@property
def length(self):
return len(self.__cache)
def clear(self):
self.__cache.clear()
def __len__(self):
return self.length
def __contains__(self, item):
return item in self.__cache
def __setitem__(self, key, value):
self.set(key, value)
def __delitem__(self, key):
del self.__cache[key]
def __getitem__(self, key):
return self.get(key)
def get(self, key, default=None):
value = self.__cache.get(key)
if value:
del self.__cache[key]
self.__cache[key] = value
return value
return default
def set(self, key, value):
if self.__cache.get(key):
del self.__cache[key]
self.__cache[key] = value
else:
self.__cache[key] = value
# Check, if the cache is full and we have to remove old items
# If the queue is of unlimited size, self.capacity is NaN and
# x > NaN is always False in Python and the cache won't be cleared.
if self.capacity is not None and self.length > self.capacity:
self.__cache.popitem(last=False)
# Source: https://github.com/PythonCharmers/python-future/blob/466bfb2dfa36d865285dc31fe2b0c0a53ff0f181/future/utils/__init__.py#L102-L134
def with_metaclass(meta, *bases):
"""
Function from jinja2/_compat.py. License: BSD.
Use it like this::
class BaseForm(object):
pass
class FormType(type):
pass
class Form(with_metaclass(FormType, BaseForm)):
pass
This requires a bit of explanation: the basic idea is to make a
dummy metaclass for one level of class instantiation that replaces
itself with the actual metaclass. Because of internal type checks
we also need to make sure that we downgrade the custom metaclass
for one level to something closer to type (that's why __call__ and
__init__ comes back from type etc.).
This has the advantage over six.with_metaclass of not introducing
dummy classes into the final MRO.
"""
class Metaclass(meta):
__call__ = type.__call__
__init__ = type.__init__
def __new__(cls, name, this_bases, d):
if this_bases is None:
return type.__new__(cls, name, (), d)
return meta(name, bases, d)
return Metaclass('temporary_class', None, {})
@contextmanager
def catch_warning(warning_cls):
with warnings.catch_warnings():
warnings.filterwarnings('error', category=warning_cls)
yield
class FrozenDict(dict):
def __hash__(self):
return hash(tuple(sorted(self.items())))
def _immutable(self, *args, **kws):
raise TypeError('object is immutable')
__setitem__ = _immutable
__delitem__ = _immutable
clear = _immutable
update = _immutable
setdefault = _immutable
pop = _immutable
popitem = _immutable
def freeze(obj):
if isinstance(obj, dict):
return FrozenDict((k, freeze(v)) for k, v in obj.items())
elif isinstance(obj, list):
return tuple(freeze(el) for el in obj)
elif isinstance(obj, set):
return frozenset(obj)
else:
return obj