forked from VimPlug/jedi
Add a generator cache for py__mro__
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@@ -4,7 +4,10 @@
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- ``CachedMetaClass`` uses ``_memoize_default`` to do the same with classes.
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"""
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from jedi import debug
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_NO_DEFAULT = object()
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_RECURSION_SENTINEL = object()
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def _memoize_default(default=_NO_DEFAULT, evaluator_is_first_arg=False, second_arg_is_evaluator=False):
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@@ -28,8 +31,7 @@ def _memoize_default(default=_NO_DEFAULT, evaluator_is_first_arg=False, second_a
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try:
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memo = cache[function]
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except KeyError:
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memo = {}
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cache[function] = memo
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cache[function] = memo = {}
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key = (obj, args, frozenset(kwargs.items()))
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if key in memo:
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@@ -75,3 +77,47 @@ class CachedMetaClass(type):
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@evaluator_as_method_param_cache()
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def __call__(self, *args, **kwargs):
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return super(CachedMetaClass, self).__call__(*args, **kwargs)
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def evaluator_method_generator_cache():
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"""
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This is a special memoizer. It memoizes generators and also checks for
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recursion errors and returns no further iterator elemends in that case.
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"""
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def func(function):
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def wrapper(obj, *args, **kwargs):
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cache = obj.evaluator.memoize_cache
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try:
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memo = cache[function]
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except KeyError:
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cache[function] = memo = {}
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key = (obj, args, frozenset(kwargs.items()))
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if key in memo:
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actual_generator, cached_lst = memo[key]
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else:
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actual_generator = function(obj, *args, **kwargs)
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cached_lst = []
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memo[key] = actual_generator, cached_lst
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i = 0
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while True:
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try:
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next_element = cached_lst[i]
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if next_element is _RECURSION_SENTINEL:
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debug.warning('Found a generator recursion for %s' % obj)
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# This means we have hit a recursion.
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return
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except IndexError:
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cached_lst.append(_RECURSION_SENTINEL)
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next_element = next(actual_generator, None)
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if next_element is None:
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cached_lst.pop()
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return
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cached_lst[-1] = next_element
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yield next_element
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i += 1
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return wrapper
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return func
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@@ -40,7 +40,8 @@ py__doc__(include_call_signature: Returns the docstring for a context.
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from jedi import debug
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from jedi._compatibility import use_metaclass
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from jedi.parser_utils import get_parent_scope
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from jedi.evaluate.cache import evaluator_method_cache, CachedMetaClass
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from jedi.evaluate.cache import evaluator_method_cache, CachedMetaClass, \
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evaluator_method_generator_cache
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from jedi.evaluate import compiled
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from jedi.evaluate.lazy_context import LazyKnownContexts
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from jedi.evaluate.filters import ParserTreeFilter, TreeNameDefinition, \
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@@ -141,26 +142,13 @@ class ClassMixin(object):
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return list(context_.get_param_names())[1:]
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return []
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@evaluator_method_cache(default=())
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def py__mro__(context):
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try:
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# TODO is this really needed?
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method = context.py__mro__
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except AttributeError:
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pass
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else:
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if not isinstance(context, ClassMixin):
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# Currently only used for compiled objects.
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return method()
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def add(cls):
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if cls not in mro:
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mro.append(cls)
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mro = [context]
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@evaluator_method_generator_cache()
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def py__mro__(self):
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mro = [self]
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yield self
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# TODO Do a proper mro resolution. Currently we are just listing
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# classes. However, it's a complicated algorithm.
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for lazy_cls in context.py__bases__():
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for lazy_cls in self.py__bases__():
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# TODO there's multiple different mro paths possible if this yields
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# multiple possibilities. Could be changed to be more correct.
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for cls in lazy_cls.infer():
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@@ -180,12 +168,14 @@ class ClassMixin(object):
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File "<stdin>", line 1, in <module>
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TypeError: int() takes at most 2 arguments (3 given)
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"""
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debug.warning('Super class of %s is not a class: %s', context, cls)
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debug.warning('Super class of %s is not a class: %s', self, cls)
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else:
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add(cls)
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for cls_new in cls.py__mro__():
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add(cls_new)
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return tuple(mro)
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if cls not in mro:
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mro.append(cls)
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yield cls
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for cls_new in cls.py__mro__():
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mro.append(cls_new)
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yield cls_new
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def _create_class_filter(self, cls, origin_scope, is_instance):
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return ClassFilter(
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