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# Copyright (c) 2015-2016 LOGILAB S.A. (Paris, FRANCE)
# http://www.logilab.fr/ -- mailto:contact@logilab.fr
# 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
"""
Inference objects are a way to represent composite AST nodes,
which are used only as inference results, so they can't be found in the
original AST tree. For instance, inferring the following frozenset use,
leads to an inferred FrozenSet:
Call(func=Name('frozenset'), args=Tuple(...))
"""
import six
from astroid import bases
from astroid import decorators
from astroid import exceptions
from astroid import MANAGER
from astroid import node_classes
from astroid import scoped_nodes
from astroid import util
BUILTINS = six.moves.builtins.__name__
objectmodel = util.lazy_import('interpreter.objectmodel')
class FrozenSet(node_classes._BaseContainer):
"""class representing a FrozenSet composite node"""
def pytype(self):
return '%s.frozenset' % BUILTINS
def _infer(self, context=None):
yield self
@decorators.cachedproperty
def _proxied(self): # pylint: disable=method-hidden
builtins = MANAGER.astroid_cache[BUILTINS]
return builtins.getattr('frozenset')[0]
class Super(node_classes.NodeNG):
"""Proxy class over a super call.
This class offers almost the same behaviour as Python's super,
which is MRO lookups for retrieving attributes from the parents.
The *mro_pointer* is the place in the MRO from where we should
start looking, not counting it. *mro_type* is the object which
provides the MRO, it can be both a type or an instance.
*self_class* is the class where the super call is, while
*scope* is the function where the super call is.
"""
special_attributes = util.lazy_descriptor(lambda: objectmodel.SuperModel())
# pylint: disable=super-init-not-called
def __init__(self, mro_pointer, mro_type, self_class, scope):
self.type = mro_type
self.mro_pointer = mro_pointer
self._class_based = False
self._self_class = self_class
self._scope = scope
def _infer(self, context=None):
yield self
def super_mro(self):
"""Get the MRO which will be used to lookup attributes in this super."""
if not isinstance(self.mro_pointer, scoped_nodes.ClassDef):
raise exceptions.SuperError(
"The first argument to super must be a subtype of "
"type, not {mro_pointer}.", super_=self)
if isinstance(self.type, scoped_nodes.ClassDef):
# `super(type, type)`, most likely in a class method.
self._class_based = True
mro_type = self.type
else:
mro_type = getattr(self.type, '_proxied', None)
if not isinstance(mro_type, (bases.Instance, scoped_nodes.ClassDef)):
raise exceptions.SuperError(
"The second argument to super must be an "
"instance or subtype of type, not {type}.",
super_=self)
if not mro_type.newstyle:
raise exceptions.SuperError("Unable to call super on old-style classes.", super_=self)
mro = mro_type.mro()
if self.mro_pointer not in mro:
raise exceptions.SuperError(
"The second argument to super must be an "
"instance or subtype of type, not {type}.",
super_=self)
index = mro.index(self.mro_pointer)
return mro[index + 1:]
@decorators.cachedproperty
def _proxied(self):
builtins = MANAGER.astroid_cache[BUILTINS]
return builtins.getattr('super')[0]
def pytype(self):
return '%s.super' % BUILTINS
def display_type(self):
return 'Super of'
@property
def name(self):
"""Get the name of the MRO pointer."""
return self.mro_pointer.name
def igetattr(self, name, context=None):
"""Retrieve the inferred values of the given attribute name."""
if name in self.special_attributes:
yield self.special_attributes.lookup(name)
return
try:
mro = self.super_mro()
# Don't let invalid MROs or invalid super calls
# leak out as is from this function.
except exceptions.SuperError as exc:
util.reraise(exceptions.AttributeInferenceError(
('Lookup for {name} on {target!r} because super call {super!r} '
'is invalid.'),
target=self, attribute=name, context=context, super_=exc.super_))
except exceptions.MroError as exc:
util.reraise(exceptions.AttributeInferenceError(
('Lookup for {name} on {target!r} failed because {cls!r} has an '
'invalid MRO.'),
target=self, attribute=name, context=context, mros=exc.mros,
cls=exc.cls))
found = False
for cls in mro:
if name not in cls.locals:
continue
found = True
for inferred in bases._infer_stmts([cls[name]], context, frame=self):
if not isinstance(inferred, scoped_nodes.FunctionDef):
yield inferred
continue
# We can obtain different descriptors from a super depending
# on what we are accessing and where the super call is.
if inferred.type == 'classmethod':
yield bases.BoundMethod(inferred, cls)
elif self._scope.type == 'classmethod' and inferred.type == 'method':
yield inferred
elif self._class_based or inferred.type == 'staticmethod':
yield inferred
elif bases._is_property(inferred):
# TODO: support other descriptors as well.
for value in inferred.infer_call_result(self, context):
yield value
else:
yield bases.BoundMethod(inferred, cls)
if not found:
raise exceptions.AttributeInferenceError(target=self,
attribute=name,
context=context)
def getattr(self, name, context=None):
return list(self.igetattr(name, context=context))
class ExceptionInstance(bases.Instance):
"""Class for instances of exceptions
It has special treatment for some of the exceptions's attributes,
which are transformed at runtime into certain concrete objects, such as
the case of .args.
"""
special_attributes = util.lazy_descriptor(lambda: objectmodel.ExceptionInstanceModel())
class DictInstance(bases.Instance):
"""Special kind of instances for dictionaries
This instance knows the underlying object model of the dictionaries, which means
that methods such as .values or .items can be properly inferred.
"""
special_attributes = util.lazy_descriptor(lambda: objectmodel.DictModel())
# Custom objects tailored for dictionaries, which are used to
# disambiguate between the types of Python 2 dict's method returns
# and Python 3 (where they return set like objects).
class DictItems(bases.Proxy):
__str__ = node_classes.NodeNG.__str__
__repr__ = node_classes.NodeNG.__repr__
class DictKeys(bases.Proxy):
__str__ = node_classes.NodeNG.__str__
__repr__ = node_classes.NodeNG.__repr__
class DictValues(bases.Proxy):
__str__ = node_classes.NodeNG.__str__
__repr__ = node_classes.NodeNG.__repr__
# TODO: Hack to solve the circular import problem between node_classes and objects
# This is not needed in 2.0, which has a cleaner design overall
node_classes.Dict.__bases__ = (node_classes.NodeNG, DictInstance)
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