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曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
# Copyright (c) 2015-2018 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
import warnings
from itertools import islice
import importlib
import lazy_object_proxy
def lazy_descriptor(obj):
class DescriptorProxy(lazy_object_proxy.Proxy):
def __get__(self, instance, owner=None):
return self.__class__.__get__(self, instance)
return DescriptorProxy(obj)
def lazy_import(module_name):
return lazy_object_proxy.Proxy(
lambda: importlib.import_module("." + module_name, "astroid")
)
@object.__new__
class Uninferable:
"""Special inference object, which is returned when inference fails."""
def __repr__(self):
return "Uninferable"
__str__ = __repr__
def __getattribute__(self, name):
if name == "next":
raise AttributeError("next method should not be called")
if name.startswith("__") and name.endswith("__"):
return object.__getattribute__(self, name)
if name == "accept":
return object.__getattribute__(self, name)
return self
def __call__(self, *args, **kwargs):
return self
def __bool__(self):
return False
__nonzero__ = __bool__
def accept(self, visitor):
func = getattr(visitor, "visit_uninferable")
return func(self)
class BadOperationMessage:
"""Object which describes a TypeError occurred somewhere in the inference chain
This is not an exception, but a container object which holds the types and
the error which occurred.
"""
class BadUnaryOperationMessage(BadOperationMessage):
"""Object which describes operational failures on UnaryOps."""
def __init__(self, operand, op, error):
self.operand = operand
self.op = op
self.error = error
@property
def _object_type_helper(self):
helpers = lazy_import("helpers")
return helpers.object_type
def _object_type(self, obj):
# pylint: disable=not-callable; can't infer lazy_import
objtype = self._object_type_helper(obj)
if objtype is Uninferable:
return None
return objtype
def __str__(self):
if hasattr(self.operand, "name"):
operand_type = self.operand.name
else:
object_type = self._object_type(self.operand)
if hasattr(object_type, "name"):
operand_type = object_type.name
else:
# Just fallback to as_string
operand_type = object_type.as_string()
msg = "bad operand type for unary {}: {}"
return msg.format(self.op, operand_type)
class BadBinaryOperationMessage(BadOperationMessage):
"""Object which describes type errors for BinOps."""
def __init__(self, left_type, op, right_type):
self.left_type = left_type
self.right_type = right_type
self.op = op
def __str__(self):
msg = "unsupported operand type(s) for {}: {!r} and {!r}"
return msg.format(self.op, self.left_type.name, self.right_type.name)
def _instancecheck(cls, other):
wrapped = cls.__wrapped__
other_cls = other.__class__
is_instance_of = wrapped is other_cls or issubclass(other_cls, wrapped)
warnings.warn(
"%r is deprecated and slated for removal in astroid "
"2.0, use %r instead" % (cls.__class__.__name__, wrapped.__name__),
PendingDeprecationWarning,
stacklevel=2,
)
return is_instance_of
def proxy_alias(alias_name, node_type):
"""Get a Proxy from the given name to the given node type."""
proxy = type(
alias_name,
(lazy_object_proxy.Proxy,),
{
"__class__": object.__dict__["__class__"],
"__instancecheck__": _instancecheck,
},
)
return proxy(lambda: node_type)
def limit_inference(iterator, size):
"""Limit inference amount.
Limit inference amount to help with performance issues with
exponentially exploding possible results.
:param iterator: Inference generator to limit
:type iterator: Iterator(NodeNG)
:param size: Maximum mount of nodes yielded plus an
Uninferable at the end if limit reached
:type size: int
:yields: A possibly modified generator
:rtype param: Iterable
"""
yield from islice(iterator, size)
has_more = next(iterator, False)
if has_more is not False:
yield Uninferable
return