cadquery-freecad-module/CadQuery/Libs/jedi/evaluate/cache.py

55 lines
1.9 KiB
Python

"""
- the popular ``memoize_default`` works like a typical memoize and returns the
default otherwise.
- ``CachedMetaClass`` uses ``memoize_default`` to do the same with classes.
"""
NO_DEFAULT = object()
def memoize_default(default=None, evaluator_is_first_arg=False, second_arg_is_evaluator=False):
""" This is a typical memoization decorator, BUT there is one difference:
To prevent recursion it sets defaults.
Preventing recursion is in this case the much bigger use than speed. I
don't think, that there is a big speed difference, but there are many cases
where recursion could happen (think about a = b; b = a).
"""
def func(function):
def wrapper(obj, *args, **kwargs):
if evaluator_is_first_arg:
cache = obj.memoize_cache
elif second_arg_is_evaluator: # needed for meta classes
cache = args[0].memoize_cache
else:
cache = obj._evaluator.memoize_cache
try:
memo = cache[function]
except KeyError:
memo = {}
cache[function] = memo
key = (obj, args, frozenset(kwargs.items()))
if key in memo:
return memo[key]
else:
if default is not NO_DEFAULT:
memo[key] = default
rv = function(obj, *args, **kwargs)
memo[key] = rv
return rv
return wrapper
return func
class CachedMetaClass(type):
"""
This is basically almost the same than the decorator above, it just caches
class initializations. I haven't found any other way, so I'm doing it with
meta classes.
"""
@memoize_default(None, second_arg_is_evaluator=True)
def __call__(self, *args, **kwargs):
return super(CachedMetaClass, self).__call__(*args, **kwargs)