mirror of
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801 lines
25 KiB
Python
801 lines
25 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2016-2019 Claudiu Popa <pcmanticore@gmail.com>
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# Copyright (c) 2016 Derek Gustafson <degustaf@gmail.com>
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# Copyright (c) 2017-2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
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# Copyright (c) 2017 Ceridwen <ceridwenv@gmail.com>
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# Copyright (c) 2017 Calen Pennington <cale@edx.org>
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# Copyright (c) 2018 Ville Skyttä <ville.skytta@iki.fi>
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# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
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# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
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# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
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"""
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Data object model, as per https://docs.python.org/3/reference/datamodel.html.
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This module describes, at least partially, a data object model for some
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of astroid's nodes. The model contains special attributes that nodes such
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as functions, classes, modules etc have, such as __doc__, __class__,
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__module__ etc, being used when doing attribute lookups over nodes.
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For instance, inferring `obj.__class__` will first trigger an inference
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of the `obj` variable. If it was successfully inferred, then an attribute
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`__class__ will be looked for in the inferred object. This is the part
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where the data model occurs. The model is attached to those nodes
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and the lookup mechanism will try to see if attributes such as
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`__class__` are defined by the model or not. If they are defined,
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the model will be requested to return the corresponding value of that
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attribute. Thus the model can be viewed as a special part of the lookup
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mechanism.
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"""
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import itertools
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import pprint
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import os
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import types
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from functools import lru_cache
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import astroid
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from astroid import context as contextmod
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from astroid import exceptions
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from astroid import node_classes
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IMPL_PREFIX = "attr_"
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def _dunder_dict(instance, attributes):
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obj = node_classes.Dict(parent=instance)
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# Convert the keys to node strings
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keys = [
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node_classes.Const(value=value, parent=obj) for value in list(attributes.keys())
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]
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# The original attribute has a list of elements for each key,
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# but that is not useful for retrieving the special attribute's value.
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# In this case, we're picking the last value from each list.
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values = [elem[-1] for elem in attributes.values()]
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obj.postinit(list(zip(keys, values)))
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return obj
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class ObjectModel:
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def __init__(self):
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self._instance = None
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def __repr__(self):
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result = []
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cname = type(self).__name__
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string = "%(cname)s(%(fields)s)"
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alignment = len(cname) + 1
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for field in sorted(self.attributes()):
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width = 80 - len(field) - alignment
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lines = pprint.pformat(field, indent=2, width=width).splitlines(True)
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inner = [lines[0]]
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for line in lines[1:]:
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inner.append(" " * alignment + line)
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result.append(field)
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return string % {
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"cname": cname,
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"fields": (",\n" + " " * alignment).join(result),
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}
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def __call__(self, instance):
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self._instance = instance
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return self
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def __get__(self, instance, cls=None):
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# ObjectModel needs to be a descriptor so that just doing
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# `special_attributes = SomeObjectModel` should be enough in the body of a node.
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# But at the same time, node.special_attributes should return an object
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# which can be used for manipulating the special attributes. That's the reason
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# we pass the instance through which it got accessed to ObjectModel.__call__,
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# returning itself afterwards, so we can still have access to the
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# underlying data model and to the instance for which it got accessed.
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return self(instance)
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def __contains__(self, name):
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return name in self.attributes()
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@lru_cache(maxsize=None)
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def attributes(self):
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"""Get the attributes which are exported by this object model."""
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return [
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obj[len(IMPL_PREFIX) :] for obj in dir(self) if obj.startswith(IMPL_PREFIX)
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]
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def lookup(self, name):
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"""Look up the given *name* in the current model
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It should return an AST or an interpreter object,
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but if the name is not found, then an AttributeInferenceError will be raised.
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"""
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if name in self.attributes():
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return getattr(self, IMPL_PREFIX + name)
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raise exceptions.AttributeInferenceError(target=self._instance, attribute=name)
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class ModuleModel(ObjectModel):
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def _builtins(self):
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builtins_ast_module = astroid.MANAGER.builtins_module
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return builtins_ast_module.special_attributes.lookup("__dict__")
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@property
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def attr_builtins(self):
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return self._builtins()
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@property
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def attr___path__(self):
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if not self._instance.package:
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raise exceptions.AttributeInferenceError(
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target=self._instance, attribute="__path__"
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)
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path_objs = [
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node_classes.Const(
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value=path
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if not path.endswith("__init__.py")
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else os.path.dirname(path),
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parent=self._instance,
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)
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for path in self._instance.path
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]
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container = node_classes.List(parent=self._instance)
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container.postinit(path_objs)
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return container
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@property
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def attr___name__(self):
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return node_classes.Const(value=self._instance.name, parent=self._instance)
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@property
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def attr___doc__(self):
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return node_classes.Const(value=self._instance.doc, parent=self._instance)
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@property
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def attr___file__(self):
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return node_classes.Const(value=self._instance.file, parent=self._instance)
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@property
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def attr___dict__(self):
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return _dunder_dict(self._instance, self._instance.globals)
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@property
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def attr___package__(self):
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if not self._instance.package:
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value = ""
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else:
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value = self._instance.name
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return node_classes.Const(value=value, parent=self._instance)
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# These are related to the Python 3 implementation of the
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# import system,
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# https://docs.python.org/3/reference/import.html#import-related-module-attributes
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@property
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def attr___spec__(self):
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# No handling for now.
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return node_classes.Unknown()
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@property
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def attr___loader__(self):
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# No handling for now.
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return node_classes.Unknown()
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@property
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def attr___cached__(self):
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# No handling for now.
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return node_classes.Unknown()
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class FunctionModel(ObjectModel):
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@property
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def attr___name__(self):
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return node_classes.Const(value=self._instance.name, parent=self._instance)
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@property
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def attr___doc__(self):
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return node_classes.Const(value=self._instance.doc, parent=self._instance)
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@property
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def attr___qualname__(self):
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return node_classes.Const(value=self._instance.qname(), parent=self._instance)
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@property
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def attr___defaults__(self):
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func = self._instance
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if not func.args.defaults:
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return node_classes.Const(value=None, parent=func)
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defaults_obj = node_classes.Tuple(parent=func)
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defaults_obj.postinit(func.args.defaults)
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return defaults_obj
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@property
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def attr___annotations__(self):
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obj = node_classes.Dict(parent=self._instance)
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if not self._instance.returns:
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returns = None
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else:
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returns = self._instance.returns
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args = self._instance.args
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pair_annotations = itertools.chain(
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zip(args.args or [], args.annotations),
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zip(args.kwonlyargs, args.kwonlyargs_annotations),
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zip(args.posonlyargs or [], args.posonlyargs_annotations),
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)
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annotations = {
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arg.name: annotation for (arg, annotation) in pair_annotations if annotation
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}
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if args.varargannotation:
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annotations[args.vararg] = args.varargannotation
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if args.kwargannotation:
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annotations[args.kwarg] = args.kwargannotation
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if returns:
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annotations["return"] = returns
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items = [
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(node_classes.Const(key, parent=obj), value)
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for (key, value) in annotations.items()
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]
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obj.postinit(items)
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return obj
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@property
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def attr___dict__(self):
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return node_classes.Dict(parent=self._instance)
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attr___globals__ = attr___dict__
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@property
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def attr___kwdefaults__(self):
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def _default_args(args, parent):
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for arg in args.kwonlyargs:
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try:
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default = args.default_value(arg.name)
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except exceptions.NoDefault:
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continue
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name = node_classes.Const(arg.name, parent=parent)
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yield name, default
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args = self._instance.args
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obj = node_classes.Dict(parent=self._instance)
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defaults = dict(_default_args(args, obj))
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obj.postinit(list(defaults.items()))
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return obj
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@property
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def attr___module__(self):
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return node_classes.Const(self._instance.root().qname())
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@property
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def attr___get__(self):
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# pylint: disable=import-outside-toplevel; circular import
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from astroid import bases
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func = self._instance
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class DescriptorBoundMethod(bases.BoundMethod):
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"""Bound method which knows how to understand calling descriptor binding."""
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def implicit_parameters(self):
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# Different than BoundMethod since the signature
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# is different.
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return 0
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def infer_call_result(self, caller, context=None):
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if len(caller.args) > 2 or len(caller.args) < 1:
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raise exceptions.InferenceError(
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"Invalid arguments for descriptor binding",
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target=self,
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context=context,
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)
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context = contextmod.copy_context(context)
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cls = next(caller.args[0].infer(context=context))
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if cls is astroid.Uninferable:
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raise exceptions.InferenceError(
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"Invalid class inferred", target=self, context=context
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)
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# For some reason func is a Node that the below
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# code is not expecting
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if isinstance(func, bases.BoundMethod):
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yield func
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return
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# Rebuild the original value, but with the parent set as the
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# class where it will be bound.
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new_func = func.__class__(
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name=func.name,
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doc=func.doc,
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lineno=func.lineno,
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col_offset=func.col_offset,
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)
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# pylint: disable=no-member
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new_func.postinit(func.args, func.body, func.decorators, func.returns)
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# Build a proper bound method that points to our newly built function.
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proxy = bases.UnboundMethod(new_func)
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yield bases.BoundMethod(proxy=proxy, bound=cls)
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@property
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def args(self):
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"""Overwrite the underlying args to match those of the underlying func
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Usually the underlying *func* is a function/method, as in:
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def test(self):
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pass
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This has only the *self* parameter but when we access test.__get__
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we get a new object which has two parameters, *self* and *type*.
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"""
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nonlocal func
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positional_or_keyword_params = func.args.args.copy()
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positional_or_keyword_params.append(astroid.AssignName(name="type"))
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positional_only_params = func.args.posonlyargs.copy()
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arguments = astroid.Arguments(parent=func.args.parent)
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arguments.postinit(
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args=positional_or_keyword_params,
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posonlyargs=positional_only_params,
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defaults=[],
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kwonlyargs=[],
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kw_defaults=[],
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annotations=[],
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)
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return arguments
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return DescriptorBoundMethod(proxy=self._instance, bound=self._instance)
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# These are here just for completion.
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@property
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def attr___ne__(self):
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return node_classes.Unknown()
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attr___subclasshook__ = attr___ne__
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attr___str__ = attr___ne__
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attr___sizeof__ = attr___ne__
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attr___setattr___ = attr___ne__
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attr___repr__ = attr___ne__
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attr___reduce__ = attr___ne__
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attr___reduce_ex__ = attr___ne__
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attr___new__ = attr___ne__
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attr___lt__ = attr___ne__
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attr___eq__ = attr___ne__
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attr___gt__ = attr___ne__
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attr___format__ = attr___ne__
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attr___delattr___ = attr___ne__
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attr___getattribute__ = attr___ne__
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attr___hash__ = attr___ne__
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attr___init__ = attr___ne__
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attr___dir__ = attr___ne__
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attr___call__ = attr___ne__
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attr___class__ = attr___ne__
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attr___closure__ = attr___ne__
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attr___code__ = attr___ne__
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class ClassModel(ObjectModel):
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@property
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def attr___module__(self):
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return node_classes.Const(self._instance.root().qname())
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@property
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def attr___name__(self):
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return node_classes.Const(self._instance.name)
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@property
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def attr___qualname__(self):
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return node_classes.Const(self._instance.qname())
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@property
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def attr___doc__(self):
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return node_classes.Const(self._instance.doc)
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@property
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def attr___mro__(self):
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if not self._instance.newstyle:
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raise exceptions.AttributeInferenceError(
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target=self._instance, attribute="__mro__"
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)
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mro = self._instance.mro()
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obj = node_classes.Tuple(parent=self._instance)
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obj.postinit(mro)
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return obj
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@property
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def attr_mro(self):
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if not self._instance.newstyle:
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raise exceptions.AttributeInferenceError(
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target=self._instance, attribute="mro"
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)
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# pylint: disable=import-outside-toplevel; circular import
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from astroid import bases
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other_self = self
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# Cls.mro is a method and we need to return one in order to have a proper inference.
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# The method we're returning is capable of inferring the underlying MRO though.
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class MroBoundMethod(bases.BoundMethod):
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def infer_call_result(self, caller, context=None):
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yield other_self.attr___mro__
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implicit_metaclass = self._instance.implicit_metaclass()
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mro_method = implicit_metaclass.locals["mro"][0]
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return MroBoundMethod(proxy=mro_method, bound=implicit_metaclass)
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@property
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def attr___bases__(self):
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obj = node_classes.Tuple()
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context = contextmod.InferenceContext()
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elts = list(self._instance._inferred_bases(context))
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obj.postinit(elts=elts)
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return obj
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@property
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def attr___class__(self):
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# pylint: disable=import-outside-toplevel; circular import
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from astroid import helpers
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return helpers.object_type(self._instance)
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@property
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def attr___subclasses__(self):
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"""Get the subclasses of the underlying class
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This looks only in the current module for retrieving the subclasses,
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thus it might miss a couple of them.
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"""
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# pylint: disable=import-outside-toplevel; circular import
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from astroid import bases
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from astroid import scoped_nodes
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if not self._instance.newstyle:
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raise exceptions.AttributeInferenceError(
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target=self._instance, attribute="__subclasses__"
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)
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qname = self._instance.qname()
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root = self._instance.root()
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classes = [
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cls
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for cls in root.nodes_of_class(scoped_nodes.ClassDef)
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if cls != self._instance and cls.is_subtype_of(qname)
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]
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obj = node_classes.List(parent=self._instance)
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obj.postinit(classes)
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class SubclassesBoundMethod(bases.BoundMethod):
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def infer_call_result(self, caller, context=None):
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yield obj
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implicit_metaclass = self._instance.implicit_metaclass()
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subclasses_method = implicit_metaclass.locals["__subclasses__"][0]
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return SubclassesBoundMethod(proxy=subclasses_method, bound=implicit_metaclass)
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@property
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def attr___dict__(self):
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return node_classes.Dict(parent=self._instance)
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class SuperModel(ObjectModel):
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@property
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def attr___thisclass__(self):
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return self._instance.mro_pointer
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@property
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def attr___self_class__(self):
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return self._instance._self_class
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@property
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def attr___self__(self):
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return self._instance.type
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@property
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def attr___class__(self):
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return self._instance._proxied
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class UnboundMethodModel(ObjectModel):
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@property
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def attr___class__(self):
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# pylint: disable=import-outside-toplevel; circular import
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from astroid import helpers
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return helpers.object_type(self._instance)
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@property
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def attr___func__(self):
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return self._instance._proxied
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@property
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def attr___self__(self):
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return node_classes.Const(value=None, parent=self._instance)
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attr_im_func = attr___func__
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attr_im_class = attr___class__
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attr_im_self = attr___self__
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class BoundMethodModel(FunctionModel):
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@property
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def attr___func__(self):
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return self._instance._proxied._proxied
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@property
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def attr___self__(self):
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return self._instance.bound
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class GeneratorModel(FunctionModel):
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def __new__(cls, *args, **kwargs):
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# Append the values from the GeneratorType unto this object.
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ret = super(GeneratorModel, cls).__new__(cls, *args, **kwargs)
|
|
generator = astroid.MANAGER.builtins_module["generator"]
|
|
for name, values in generator.locals.items():
|
|
method = values[0]
|
|
patched = lambda cls, meth=method: meth
|
|
|
|
setattr(type(ret), IMPL_PREFIX + name, property(patched))
|
|
|
|
return ret
|
|
|
|
@property
|
|
def attr___name__(self):
|
|
return node_classes.Const(
|
|
value=self._instance.parent.name, parent=self._instance
|
|
)
|
|
|
|
@property
|
|
def attr___doc__(self):
|
|
return node_classes.Const(
|
|
value=self._instance.parent.doc, parent=self._instance
|
|
)
|
|
|
|
|
|
class AsyncGeneratorModel(GeneratorModel):
|
|
def __new__(cls, *args, **kwargs):
|
|
# Append the values from the AGeneratorType unto this object.
|
|
ret = super().__new__(cls, *args, **kwargs)
|
|
astroid_builtins = astroid.MANAGER.builtins_module
|
|
generator = astroid_builtins.get("async_generator")
|
|
if generator is None:
|
|
# Make it backward compatible.
|
|
generator = astroid_builtins.get("generator")
|
|
|
|
for name, values in generator.locals.items():
|
|
method = values[0]
|
|
patched = lambda cls, meth=method: meth
|
|
|
|
setattr(type(ret), IMPL_PREFIX + name, property(patched))
|
|
|
|
return ret
|
|
|
|
|
|
class InstanceModel(ObjectModel):
|
|
@property
|
|
def attr___class__(self):
|
|
return self._instance._proxied
|
|
|
|
@property
|
|
def attr___module__(self):
|
|
return node_classes.Const(self._instance.root().qname())
|
|
|
|
@property
|
|
def attr___doc__(self):
|
|
return node_classes.Const(self._instance.doc)
|
|
|
|
@property
|
|
def attr___dict__(self):
|
|
return _dunder_dict(self._instance, self._instance.instance_attrs)
|
|
|
|
|
|
# Exception instances
|
|
|
|
|
|
class ExceptionInstanceModel(InstanceModel):
|
|
@property
|
|
def attr_args(self):
|
|
message = node_classes.Const("")
|
|
args = node_classes.Tuple(parent=self._instance)
|
|
args.postinit((message,))
|
|
return args
|
|
|
|
@property
|
|
def attr___traceback__(self):
|
|
builtins_ast_module = astroid.MANAGER.builtins_module
|
|
traceback_type = builtins_ast_module[types.TracebackType.__name__]
|
|
return traceback_type.instantiate_class()
|
|
|
|
|
|
class SyntaxErrorInstanceModel(ExceptionInstanceModel):
|
|
@property
|
|
def attr_text(self):
|
|
return node_classes.Const("")
|
|
|
|
|
|
class OSErrorInstanceModel(ExceptionInstanceModel):
|
|
@property
|
|
def attr_filename(self):
|
|
return node_classes.Const("")
|
|
|
|
@property
|
|
def attr_errno(self):
|
|
return node_classes.Const(0)
|
|
|
|
@property
|
|
def attr_strerror(self):
|
|
return node_classes.Const("")
|
|
|
|
attr_filename2 = attr_filename
|
|
|
|
|
|
class ImportErrorInstanceModel(ExceptionInstanceModel):
|
|
@property
|
|
def attr_name(self):
|
|
return node_classes.Const("")
|
|
|
|
@property
|
|
def attr_path(self):
|
|
return node_classes.Const("")
|
|
|
|
|
|
BUILTIN_EXCEPTIONS = {
|
|
"builtins.SyntaxError": SyntaxErrorInstanceModel,
|
|
"builtins.ImportError": ImportErrorInstanceModel,
|
|
# These are all similar to OSError in terms of attributes
|
|
"builtins.OSError": OSErrorInstanceModel,
|
|
"builtins.BlockingIOError": OSErrorInstanceModel,
|
|
"builtins.BrokenPipeError": OSErrorInstanceModel,
|
|
"builtins.ChildProcessError": OSErrorInstanceModel,
|
|
"builtins.ConnectionAbortedError": OSErrorInstanceModel,
|
|
"builtins.ConnectionError": OSErrorInstanceModel,
|
|
"builtins.ConnectionRefusedError": OSErrorInstanceModel,
|
|
"builtins.ConnectionResetError": OSErrorInstanceModel,
|
|
"builtins.FileExistsError": OSErrorInstanceModel,
|
|
"builtins.FileNotFoundError": OSErrorInstanceModel,
|
|
"builtins.InterruptedError": OSErrorInstanceModel,
|
|
"builtins.IsADirectoryError": OSErrorInstanceModel,
|
|
"builtins.NotADirectoryError": OSErrorInstanceModel,
|
|
"builtins.PermissionError": OSErrorInstanceModel,
|
|
"builtins.ProcessLookupError": OSErrorInstanceModel,
|
|
"builtins.TimeoutError": OSErrorInstanceModel,
|
|
}
|
|
|
|
|
|
class DictModel(ObjectModel):
|
|
@property
|
|
def attr___class__(self):
|
|
return self._instance._proxied
|
|
|
|
def _generic_dict_attribute(self, obj, name):
|
|
"""Generate a bound method that can infer the given *obj*."""
|
|
|
|
class DictMethodBoundMethod(astroid.BoundMethod):
|
|
def infer_call_result(self, caller, context=None):
|
|
yield obj
|
|
|
|
meth = next(self._instance._proxied.igetattr(name))
|
|
return DictMethodBoundMethod(proxy=meth, bound=self._instance)
|
|
|
|
@property
|
|
def attr_items(self):
|
|
elems = []
|
|
obj = node_classes.List(parent=self._instance)
|
|
for key, value in self._instance.items:
|
|
elem = node_classes.Tuple(parent=obj)
|
|
elem.postinit((key, value))
|
|
elems.append(elem)
|
|
obj.postinit(elts=elems)
|
|
|
|
# pylint: disable=import-outside-toplevel; circular import
|
|
from astroid import objects
|
|
|
|
obj = objects.DictItems(obj)
|
|
return self._generic_dict_attribute(obj, "items")
|
|
|
|
@property
|
|
def attr_keys(self):
|
|
keys = [key for (key, _) in self._instance.items]
|
|
obj = node_classes.List(parent=self._instance)
|
|
obj.postinit(elts=keys)
|
|
|
|
# pylint: disable=import-outside-toplevel; circular import
|
|
from astroid import objects
|
|
|
|
obj = objects.DictKeys(obj)
|
|
return self._generic_dict_attribute(obj, "keys")
|
|
|
|
@property
|
|
def attr_values(self):
|
|
|
|
values = [value for (_, value) in self._instance.items]
|
|
obj = node_classes.List(parent=self._instance)
|
|
obj.postinit(values)
|
|
|
|
# pylint: disable=import-outside-toplevel; circular import
|
|
from astroid import objects
|
|
|
|
obj = objects.DictValues(obj)
|
|
return self._generic_dict_attribute(obj, "values")
|
|
|
|
|
|
class PropertyModel(ObjectModel):
|
|
"""Model for a builtin property"""
|
|
|
|
# pylint: disable=import-outside-toplevel
|
|
def _init_function(self, name):
|
|
from astroid.node_classes import Arguments
|
|
from astroid.scoped_nodes import FunctionDef
|
|
|
|
args = Arguments()
|
|
args.postinit(
|
|
args=[],
|
|
defaults=[],
|
|
kwonlyargs=[],
|
|
kw_defaults=[],
|
|
annotations=[],
|
|
posonlyargs=[],
|
|
posonlyargs_annotations=[],
|
|
kwonlyargs_annotations=[],
|
|
)
|
|
|
|
function = FunctionDef(name=name, parent=self._instance)
|
|
|
|
function.postinit(args=args, body=[])
|
|
return function
|
|
|
|
@property
|
|
def attr_fget(self):
|
|
from astroid.scoped_nodes import FunctionDef
|
|
|
|
func = self._instance
|
|
|
|
class PropertyFuncAccessor(FunctionDef):
|
|
def infer_call_result(self, caller=None, context=None):
|
|
nonlocal func
|
|
if caller and len(caller.args) != 1:
|
|
raise exceptions.InferenceError(
|
|
"fget() needs a single argument", target=self, context=context
|
|
)
|
|
|
|
yield from func.function.infer_call_result(
|
|
caller=caller, context=context
|
|
)
|
|
|
|
property_accessor = PropertyFuncAccessor(name="fget", parent=self._instance)
|
|
property_accessor.postinit(args=func.args, body=func.body)
|
|
return property_accessor
|
|
|
|
@property
|
|
def attr_setter(self):
|
|
return self._init_function("setter")
|
|
|
|
@property
|
|
def attr_deleter(self):
|
|
return self._init_function("deleter")
|
|
|
|
@property
|
|
def attr_getter(self):
|
|
return self._init_function("getter")
|
|
|
|
# pylint: enable=import-outside-toplevel
|