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82 lines
2.4 KiB
Python
82 lines
2.4 KiB
Python
# copyright 2003-2015 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
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# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
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#
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# This file is part of astroid.
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#
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# astroid is free software: you can redistribute it and/or modify it
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# under the terms of the GNU Lesser General Public License as published by the
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# Free Software Foundation, either version 2.1 of the License, or (at your
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# option) any later version.
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#
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# astroid is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
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# for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License along
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# with astroid. If not, see <http://www.gnu.org/licenses/>.
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"""Various context related utilities, including inference and call contexts."""
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import contextlib
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class InferenceContext(object):
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__slots__ = ('path', 'lookupname', 'callcontext', 'boundnode', 'inferred')
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def __init__(self, path=None, inferred=None):
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self.path = path or set()
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self.lookupname = None
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self.callcontext = None
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self.boundnode = None
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self.inferred = inferred or {}
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def push(self, node):
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name = self.lookupname
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if (node, name) in self.path:
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raise StopIteration()
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self.path.add((node, name))
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def clone(self):
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# XXX copy lookupname/callcontext ?
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clone = InferenceContext(self.path, inferred=self.inferred)
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clone.callcontext = self.callcontext
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clone.boundnode = self.boundnode
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return clone
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def cache_generator(self, key, generator):
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results = []
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for result in generator:
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results.append(result)
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yield result
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self.inferred[key] = tuple(results)
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return
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@contextlib.contextmanager
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def restore_path(self):
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path = set(self.path)
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yield
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self.path = path
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class CallContext(object):
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"""Holds information for a call site."""
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__slots__ = ('args', 'keywords')
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def __init__(self, args, keywords=None):
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self.args = args
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if keywords:
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keywords = [(arg.arg, arg.value) for arg in keywords]
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else:
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keywords = []
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self.keywords = keywords
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def copy_context(context):
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if context is not None:
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return context.clone()
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else:
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return InferenceContext()
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