mirror of
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780 lines
27 KiB
Python
780 lines
27 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2009-2011, 2013-2014 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
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# Copyright (c) 2014-2020 Claudiu Popa <pcmanticore@gmail.com>
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# Copyright (c) 2014 Google, Inc.
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# Copyright (c) 2014 Eevee (Alex Munroe) <amunroe@yelp.com>
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# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
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# Copyright (c) 2015 Dmitry Pribysh <dmand@yandex.ru>
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# Copyright (c) 2016 Derek Gustafson <degustaf@gmail.com>
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# Copyright (c) 2017-2018 Ashley Whetter <ashley@awhetter.co.uk>
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# Copyright (c) 2017 Łukasz Rogalski <rogalski.91@gmail.com>
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# Copyright (c) 2017 rr- <rr-@sakuya.pl>
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# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
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# Copyright (c) 2018 Ville Skyttä <ville.skytta@iki.fi>
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# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
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# Copyright (c) 2018 HoverHell <hoverhell@gmail.com>
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# Copyright (c) 2019 Hugo van Kemenade <hugovk@users.noreply.github.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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"""this module contains a set of functions to handle python protocols for nodes
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where it makes sense.
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"""
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import collections
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import operator as operator_mod
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import itertools
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from astroid import Store
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from astroid import arguments
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from astroid import bases
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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 decorators
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from astroid import node_classes
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from astroid import helpers
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from astroid import nodes
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from astroid import util
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raw_building = util.lazy_import("raw_building")
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objects = util.lazy_import("objects")
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def _reflected_name(name):
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return "__r" + name[2:]
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def _augmented_name(name):
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return "__i" + name[2:]
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_CONTEXTLIB_MGR = "contextlib.contextmanager"
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BIN_OP_METHOD = {
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"+": "__add__",
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"-": "__sub__",
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"/": "__truediv__",
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"//": "__floordiv__",
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"*": "__mul__",
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"**": "__pow__",
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"%": "__mod__",
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"&": "__and__",
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"|": "__or__",
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"^": "__xor__",
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"<<": "__lshift__",
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">>": "__rshift__",
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"@": "__matmul__",
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}
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REFLECTED_BIN_OP_METHOD = {
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key: _reflected_name(value) for (key, value) in BIN_OP_METHOD.items()
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}
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AUGMENTED_OP_METHOD = {
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key + "=": _augmented_name(value) for (key, value) in BIN_OP_METHOD.items()
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}
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UNARY_OP_METHOD = {
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"+": "__pos__",
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"-": "__neg__",
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"~": "__invert__",
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"not": None, # XXX not '__nonzero__'
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}
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_UNARY_OPERATORS = {
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"+": operator_mod.pos,
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"-": operator_mod.neg,
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"~": operator_mod.invert,
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"not": operator_mod.not_,
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}
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def _infer_unary_op(obj, op):
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func = _UNARY_OPERATORS[op]
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value = func(obj)
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return nodes.const_factory(value)
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nodes.Tuple.infer_unary_op = lambda self, op: _infer_unary_op(tuple(self.elts), op)
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nodes.List.infer_unary_op = lambda self, op: _infer_unary_op(self.elts, op)
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nodes.Set.infer_unary_op = lambda self, op: _infer_unary_op(set(self.elts), op)
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nodes.Const.infer_unary_op = lambda self, op: _infer_unary_op(self.value, op)
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nodes.Dict.infer_unary_op = lambda self, op: _infer_unary_op(dict(self.items), op)
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# Binary operations
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BIN_OP_IMPL = {
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"+": lambda a, b: a + b,
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"-": lambda a, b: a - b,
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"/": lambda a, b: a / b,
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"//": lambda a, b: a // b,
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"*": lambda a, b: a * b,
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"**": lambda a, b: a ** b,
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"%": lambda a, b: a % b,
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"&": lambda a, b: a & b,
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"|": lambda a, b: a | b,
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"^": lambda a, b: a ^ b,
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"<<": lambda a, b: a << b,
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">>": lambda a, b: a >> b,
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"@": operator_mod.matmul,
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}
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for _KEY, _IMPL in list(BIN_OP_IMPL.items()):
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BIN_OP_IMPL[_KEY + "="] = _IMPL
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@decorators.yes_if_nothing_inferred
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def const_infer_binary_op(self, opnode, operator, other, context, _):
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not_implemented = nodes.Const(NotImplemented)
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if isinstance(other, nodes.Const):
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try:
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impl = BIN_OP_IMPL[operator]
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try:
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yield nodes.const_factory(impl(self.value, other.value))
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except TypeError:
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# ArithmeticError is not enough: float >> float is a TypeError
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yield not_implemented
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except Exception: # pylint: disable=broad-except
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yield util.Uninferable
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except TypeError:
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yield not_implemented
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elif isinstance(self.value, str) and operator == "%":
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# TODO(cpopa): implement string interpolation later on.
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yield util.Uninferable
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else:
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yield not_implemented
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nodes.Const.infer_binary_op = const_infer_binary_op
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def _multiply_seq_by_int(self, opnode, other, context):
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node = self.__class__(parent=opnode)
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filtered_elts = (
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helpers.safe_infer(elt, context) or util.Uninferable
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for elt in self.elts
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if elt is not util.Uninferable
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)
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node.elts = list(filtered_elts) * other.value
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return node
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def _filter_uninferable_nodes(elts, context):
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for elt in elts:
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if elt is util.Uninferable:
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yield nodes.Unknown()
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else:
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for inferred in elt.infer(context):
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if inferred is not util.Uninferable:
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yield inferred
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else:
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yield nodes.Unknown()
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@decorators.yes_if_nothing_inferred
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def tl_infer_binary_op(self, opnode, operator, other, context, method):
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not_implemented = nodes.Const(NotImplemented)
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if isinstance(other, self.__class__) and operator == "+":
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node = self.__class__(parent=opnode)
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node.elts = list(
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itertools.chain(
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_filter_uninferable_nodes(self.elts, context),
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_filter_uninferable_nodes(other.elts, context),
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)
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)
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yield node
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elif isinstance(other, nodes.Const) and operator == "*":
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if not isinstance(other.value, int):
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yield not_implemented
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return
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yield _multiply_seq_by_int(self, opnode, other, context)
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elif isinstance(other, bases.Instance) and operator == "*":
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# Verify if the instance supports __index__.
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as_index = helpers.class_instance_as_index(other)
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if not as_index:
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yield util.Uninferable
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else:
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yield _multiply_seq_by_int(self, opnode, as_index, context)
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else:
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yield not_implemented
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nodes.Tuple.infer_binary_op = tl_infer_binary_op
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nodes.List.infer_binary_op = tl_infer_binary_op
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@decorators.yes_if_nothing_inferred
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def instance_class_infer_binary_op(self, opnode, operator, other, context, method):
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return method.infer_call_result(self, context)
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bases.Instance.infer_binary_op = instance_class_infer_binary_op
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nodes.ClassDef.infer_binary_op = instance_class_infer_binary_op
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# assignment ##################################################################
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"""the assigned_stmts method is responsible to return the assigned statement
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(e.g. not inferred) according to the assignment type.
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The `assign_path` argument is used to record the lhs path of the original node.
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For instance if we want assigned statements for 'c' in 'a, (b,c)', assign_path
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will be [1, 1] once arrived to the Assign node.
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The `context` argument is the current inference context which should be given
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to any intermediary inference necessary.
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"""
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def _resolve_looppart(parts, assign_path, context):
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"""recursive function to resolve multiple assignments on loops"""
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assign_path = assign_path[:]
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index = assign_path.pop(0)
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for part in parts:
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if part is util.Uninferable:
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continue
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if not hasattr(part, "itered"):
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continue
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try:
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itered = part.itered()
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except TypeError:
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continue
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for stmt in itered:
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index_node = nodes.Const(index)
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try:
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assigned = stmt.getitem(index_node, context)
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except (
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AttributeError,
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exceptions.AstroidTypeError,
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exceptions.AstroidIndexError,
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):
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continue
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if not assign_path:
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# we achieved to resolved the assignment path,
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# don't infer the last part
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yield assigned
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elif assigned is util.Uninferable:
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break
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else:
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# we are not yet on the last part of the path
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# search on each possibly inferred value
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try:
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yield from _resolve_looppart(
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assigned.infer(context), assign_path, context
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)
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except exceptions.InferenceError:
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break
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@decorators.raise_if_nothing_inferred
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def for_assigned_stmts(self, node=None, context=None, assign_path=None):
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if isinstance(self, nodes.AsyncFor) or getattr(self, "is_async", False):
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# Skip inferring of async code for now
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return dict(node=self, unknown=node, assign_path=assign_path, context=context)
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if assign_path is None:
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for lst in self.iter.infer(context):
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if isinstance(lst, (nodes.Tuple, nodes.List)):
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yield from lst.elts
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else:
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yield from _resolve_looppart(self.iter.infer(context), assign_path, context)
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return dict(node=self, unknown=node, assign_path=assign_path, context=context)
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nodes.For.assigned_stmts = for_assigned_stmts
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nodes.Comprehension.assigned_stmts = for_assigned_stmts
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def sequence_assigned_stmts(self, node=None, context=None, assign_path=None):
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if assign_path is None:
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assign_path = []
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try:
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index = self.elts.index(node)
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except ValueError as exc:
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raise exceptions.InferenceError(
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"Tried to retrieve a node {node!r} which does not exist",
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node=self,
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assign_path=assign_path,
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context=context,
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) from exc
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assign_path.insert(0, index)
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return self.parent.assigned_stmts(
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node=self, context=context, assign_path=assign_path
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)
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nodes.Tuple.assigned_stmts = sequence_assigned_stmts
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nodes.List.assigned_stmts = sequence_assigned_stmts
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def assend_assigned_stmts(self, node=None, context=None, assign_path=None):
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return self.parent.assigned_stmts(node=self, context=context)
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nodes.AssignName.assigned_stmts = assend_assigned_stmts
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nodes.AssignAttr.assigned_stmts = assend_assigned_stmts
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def _arguments_infer_argname(self, name, context):
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# arguments information may be missing, in which case we can't do anything
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# more
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if not (self.arguments or self.vararg or self.kwarg):
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yield util.Uninferable
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return
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functype = self.parent.type
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# first argument of instance/class method
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if (
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self.arguments
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and getattr(self.arguments[0], "name", None) == name
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and functype != "staticmethod"
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):
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cls = self.parent.parent.scope()
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is_metaclass = isinstance(cls, nodes.ClassDef) and cls.type == "metaclass"
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# If this is a metaclass, then the first argument will always
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# be the class, not an instance.
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if context.boundnode and isinstance(context.boundnode, bases.Instance):
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cls = context.boundnode._proxied
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if is_metaclass or functype == "classmethod":
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yield cls
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return
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if functype == "method":
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yield cls.instantiate_class()
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return
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if context and context.callcontext:
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call_site = arguments.CallSite(context.callcontext, context.extra_context)
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yield from call_site.infer_argument(self.parent, name, context)
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return
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if name == self.vararg:
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vararg = nodes.const_factory(())
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vararg.parent = self
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if not self.arguments and self.parent.name == "__init__":
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cls = self.parent.parent.scope()
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vararg.elts = [cls.instantiate_class()]
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yield vararg
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return
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if name == self.kwarg:
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kwarg = nodes.const_factory({})
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kwarg.parent = self
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yield kwarg
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return
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# if there is a default value, yield it. And then yield Uninferable to reflect
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# we can't guess given argument value
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try:
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context = contextmod.copy_context(context)
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yield from self.default_value(name).infer(context)
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yield util.Uninferable
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except exceptions.NoDefault:
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yield util.Uninferable
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def arguments_assigned_stmts(self, node=None, context=None, assign_path=None):
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if context.callcontext:
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# reset call context/name
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callcontext = context.callcontext
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context = contextmod.copy_context(context)
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context.callcontext = None
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args = arguments.CallSite(callcontext, context=context)
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return args.infer_argument(self.parent, node.name, context)
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return _arguments_infer_argname(self, node.name, context)
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nodes.Arguments.assigned_stmts = arguments_assigned_stmts
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@decorators.raise_if_nothing_inferred
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def assign_assigned_stmts(self, node=None, context=None, assign_path=None):
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if not assign_path:
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yield self.value
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return None
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yield from _resolve_assignment_parts(
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self.value.infer(context), assign_path, context
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)
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return dict(node=self, unknown=node, assign_path=assign_path, context=context)
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def assign_annassigned_stmts(self, node=None, context=None, assign_path=None):
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for inferred in assign_assigned_stmts(self, node, context, assign_path):
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if inferred is None:
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yield util.Uninferable
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else:
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yield inferred
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nodes.Assign.assigned_stmts = assign_assigned_stmts
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nodes.AnnAssign.assigned_stmts = assign_annassigned_stmts
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nodes.AugAssign.assigned_stmts = assign_assigned_stmts
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def _resolve_assignment_parts(parts, assign_path, context):
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"""recursive function to resolve multiple assignments"""
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assign_path = assign_path[:]
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index = assign_path.pop(0)
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for part in parts:
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assigned = None
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if isinstance(part, nodes.Dict):
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# A dictionary in an iterating context
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try:
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assigned, _ = part.items[index]
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except IndexError:
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return
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elif hasattr(part, "getitem"):
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index_node = nodes.Const(index)
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try:
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assigned = part.getitem(index_node, context)
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except (exceptions.AstroidTypeError, exceptions.AstroidIndexError):
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return
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if not assigned:
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return
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if not assign_path:
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# we achieved to resolved the assignment path, don't infer the
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# last part
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yield assigned
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elif assigned is util.Uninferable:
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return
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else:
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# we are not yet on the last part of the path search on each
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# possibly inferred value
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try:
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yield from _resolve_assignment_parts(
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assigned.infer(context), assign_path, context
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)
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except exceptions.InferenceError:
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return
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@decorators.raise_if_nothing_inferred
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def excepthandler_assigned_stmts(self, node=None, context=None, assign_path=None):
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for assigned in node_classes.unpack_infer(self.type):
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if isinstance(assigned, nodes.ClassDef):
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assigned = objects.ExceptionInstance(assigned)
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yield assigned
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return dict(node=self, unknown=node, assign_path=assign_path, context=context)
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nodes.ExceptHandler.assigned_stmts = excepthandler_assigned_stmts
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def _infer_context_manager(self, mgr, context):
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inferred = next(mgr.infer(context=context))
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if isinstance(inferred, bases.Generator):
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# Check if it is decorated with contextlib.contextmanager.
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func = inferred.parent
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if not func.decorators:
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raise exceptions.InferenceError(
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"No decorators found on inferred generator %s", node=func
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)
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for decorator_node in func.decorators.nodes:
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decorator = next(decorator_node.infer(context=context))
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if isinstance(decorator, nodes.FunctionDef):
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if decorator.qname() == _CONTEXTLIB_MGR:
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break
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else:
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# It doesn't interest us.
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raise exceptions.InferenceError(node=func)
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# Get the first yield point. If it has multiple yields,
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# then a RuntimeError will be raised.
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possible_yield_points = func.nodes_of_class(nodes.Yield)
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# Ignore yields in nested functions
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yield_point = next(
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(node for node in possible_yield_points if node.scope() == func), None
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)
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if yield_point:
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if not yield_point.value:
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const = nodes.Const(None)
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const.parent = yield_point
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const.lineno = yield_point.lineno
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yield const
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else:
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yield from yield_point.value.infer(context=context)
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elif isinstance(inferred, bases.Instance):
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try:
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|
enter = next(inferred.igetattr("__enter__", context=context))
|
|
except (exceptions.InferenceError, exceptions.AttributeInferenceError):
|
|
raise exceptions.InferenceError(node=inferred)
|
|
if not isinstance(enter, bases.BoundMethod):
|
|
raise exceptions.InferenceError(node=enter)
|
|
yield from enter.infer_call_result(self, context)
|
|
else:
|
|
raise exceptions.InferenceError(node=mgr)
|
|
|
|
|
|
@decorators.raise_if_nothing_inferred
|
|
def with_assigned_stmts(self, node=None, context=None, assign_path=None):
|
|
"""Infer names and other nodes from a *with* statement.
|
|
|
|
This enables only inference for name binding in a *with* statement.
|
|
For instance, in the following code, inferring `func` will return
|
|
the `ContextManager` class, not whatever ``__enter__`` returns.
|
|
We are doing this intentionally, because we consider that the context
|
|
manager result is whatever __enter__ returns and what it is binded
|
|
using the ``as`` keyword.
|
|
|
|
class ContextManager(object):
|
|
def __enter__(self):
|
|
return 42
|
|
with ContextManager() as f:
|
|
pass
|
|
|
|
# ContextManager().infer() will return ContextManager
|
|
# f.infer() will return 42.
|
|
|
|
Arguments:
|
|
self: nodes.With
|
|
node: The target of the assignment, `as (a, b)` in `with foo as (a, b)`.
|
|
context: Inference context used for caching already inferred objects
|
|
assign_path:
|
|
A list of indices, where each index specifies what item to fetch from
|
|
the inference results.
|
|
"""
|
|
try:
|
|
mgr = next(mgr for (mgr, vars) in self.items if vars == node)
|
|
except StopIteration:
|
|
return None
|
|
if assign_path is None:
|
|
yield from _infer_context_manager(self, mgr, context)
|
|
else:
|
|
for result in _infer_context_manager(self, mgr, context):
|
|
# Walk the assign_path and get the item at the final index.
|
|
obj = result
|
|
for index in assign_path:
|
|
if not hasattr(obj, "elts"):
|
|
raise exceptions.InferenceError(
|
|
"Wrong type ({targets!r}) for {node!r} assignment",
|
|
node=self,
|
|
targets=node,
|
|
assign_path=assign_path,
|
|
context=context,
|
|
)
|
|
try:
|
|
obj = obj.elts[index]
|
|
except IndexError as exc:
|
|
raise exceptions.InferenceError(
|
|
"Tried to infer a nonexistent target with index {index} "
|
|
"in {node!r}.",
|
|
node=self,
|
|
targets=node,
|
|
assign_path=assign_path,
|
|
context=context,
|
|
) from exc
|
|
except TypeError as exc:
|
|
raise exceptions.InferenceError(
|
|
"Tried to unpack a non-iterable value " "in {node!r}.",
|
|
node=self,
|
|
targets=node,
|
|
assign_path=assign_path,
|
|
context=context,
|
|
) from exc
|
|
yield obj
|
|
return dict(node=self, unknown=node, assign_path=assign_path, context=context)
|
|
|
|
|
|
nodes.With.assigned_stmts = with_assigned_stmts
|
|
|
|
|
|
@decorators.raise_if_nothing_inferred
|
|
def named_expr_assigned_stmts(self, node, context=None, assign_path=None):
|
|
"""Infer names and other nodes from an assignment expression"""
|
|
if self.target == node:
|
|
yield from self.value.infer(context=context)
|
|
else:
|
|
raise exceptions.InferenceError(
|
|
"Cannot infer NamedExpr node {node!r}",
|
|
node=self,
|
|
assign_path=assign_path,
|
|
context=context,
|
|
)
|
|
|
|
|
|
nodes.NamedExpr.assigned_stmts = named_expr_assigned_stmts
|
|
|
|
|
|
@decorators.yes_if_nothing_inferred
|
|
def starred_assigned_stmts(self, node=None, context=None, assign_path=None):
|
|
"""
|
|
Arguments:
|
|
self: nodes.Starred
|
|
node: a node related to the current underlying Node.
|
|
context: Inference context used for caching already inferred objects
|
|
assign_path:
|
|
A list of indices, where each index specifies what item to fetch from
|
|
the inference results.
|
|
"""
|
|
# pylint: disable=too-many-locals,too-many-branches,too-many-statements
|
|
def _determine_starred_iteration_lookups(starred, target, lookups):
|
|
# Determine the lookups for the rhs of the iteration
|
|
itered = target.itered()
|
|
for index, element in enumerate(itered):
|
|
if (
|
|
isinstance(element, nodes.Starred)
|
|
and element.value.name == starred.value.name
|
|
):
|
|
lookups.append((index, len(itered)))
|
|
break
|
|
if isinstance(element, nodes.Tuple):
|
|
lookups.append((index, len(element.itered())))
|
|
_determine_starred_iteration_lookups(starred, element, lookups)
|
|
|
|
stmt = self.statement()
|
|
if not isinstance(stmt, (nodes.Assign, nodes.For)):
|
|
raise exceptions.InferenceError(
|
|
"Statement {stmt!r} enclosing {node!r} " "must be an Assign or For node.",
|
|
node=self,
|
|
stmt=stmt,
|
|
unknown=node,
|
|
context=context,
|
|
)
|
|
|
|
if context is None:
|
|
context = contextmod.InferenceContext()
|
|
|
|
if isinstance(stmt, nodes.Assign):
|
|
value = stmt.value
|
|
lhs = stmt.targets[0]
|
|
|
|
if sum(1 for _ in lhs.nodes_of_class(nodes.Starred)) > 1:
|
|
raise exceptions.InferenceError(
|
|
"Too many starred arguments in the " " assignment targets {lhs!r}.",
|
|
node=self,
|
|
targets=lhs,
|
|
unknown=node,
|
|
context=context,
|
|
)
|
|
|
|
try:
|
|
rhs = next(value.infer(context))
|
|
except exceptions.InferenceError:
|
|
yield util.Uninferable
|
|
return
|
|
if rhs is util.Uninferable or not hasattr(rhs, "itered"):
|
|
yield util.Uninferable
|
|
return
|
|
|
|
try:
|
|
elts = collections.deque(rhs.itered())
|
|
except TypeError:
|
|
yield util.Uninferable
|
|
return
|
|
|
|
# Unpack iteratively the values from the rhs of the assignment,
|
|
# until the find the starred node. What will remain will
|
|
# be the list of values which the Starred node will represent
|
|
# This is done in two steps, from left to right to remove
|
|
# anything before the starred node and from right to left
|
|
# to remove anything after the starred node.
|
|
|
|
for index, left_node in enumerate(lhs.elts):
|
|
if not isinstance(left_node, nodes.Starred):
|
|
if not elts:
|
|
break
|
|
elts.popleft()
|
|
continue
|
|
lhs_elts = collections.deque(reversed(lhs.elts[index:]))
|
|
for right_node in lhs_elts:
|
|
if not isinstance(right_node, nodes.Starred):
|
|
if not elts:
|
|
break
|
|
elts.pop()
|
|
continue
|
|
|
|
# We're done unpacking.
|
|
elts = list(elts)
|
|
packed = nodes.List(
|
|
ctx=Store, parent=self, lineno=lhs.lineno, col_offset=lhs.col_offset
|
|
)
|
|
packed.postinit(elts=elts)
|
|
yield packed
|
|
break
|
|
|
|
if isinstance(stmt, nodes.For):
|
|
try:
|
|
inferred_iterable = next(stmt.iter.infer(context=context))
|
|
except exceptions.InferenceError:
|
|
yield util.Uninferable
|
|
return
|
|
if inferred_iterable is util.Uninferable or not hasattr(
|
|
inferred_iterable, "itered"
|
|
):
|
|
yield util.Uninferable
|
|
return
|
|
try:
|
|
itered = inferred_iterable.itered()
|
|
except TypeError:
|
|
yield util.Uninferable
|
|
return
|
|
|
|
target = stmt.target
|
|
|
|
if not isinstance(target, nodes.Tuple):
|
|
raise exceptions.InferenceError(
|
|
"Could not make sense of this, the target must be a tuple",
|
|
context=context,
|
|
)
|
|
|
|
lookups = []
|
|
_determine_starred_iteration_lookups(self, target, lookups)
|
|
if not lookups:
|
|
raise exceptions.InferenceError(
|
|
"Could not make sense of this, needs at least a lookup", context=context
|
|
)
|
|
|
|
# Make the last lookup a slice, since that what we want for a Starred node
|
|
last_element_index, last_element_length = lookups[-1]
|
|
is_starred_last = last_element_index == (last_element_length - 1)
|
|
|
|
lookup_slice = slice(
|
|
last_element_index,
|
|
None if is_starred_last else (last_element_length - last_element_index),
|
|
)
|
|
lookups[-1] = lookup_slice
|
|
|
|
for element in itered:
|
|
|
|
# We probably want to infer the potential values *for each* element in an
|
|
# iterable, but we can't infer a list of all values, when only a list of
|
|
# step values are expected:
|
|
#
|
|
# for a, *b in [...]:
|
|
# b
|
|
#
|
|
# *b* should now point to just the elements at that particular iteration step,
|
|
# which astroid can't know about.
|
|
|
|
found_element = None
|
|
for lookup in lookups:
|
|
if not hasattr(element, "itered"):
|
|
break
|
|
if not isinstance(lookup, slice):
|
|
# Grab just the index, not the whole length
|
|
lookup = lookup[0]
|
|
try:
|
|
itered_inner_element = element.itered()
|
|
element = itered_inner_element[lookup]
|
|
except IndexError:
|
|
break
|
|
except TypeError:
|
|
# Most likely the itered() call failed, cannot make sense of this
|
|
yield util.Uninferable
|
|
return
|
|
else:
|
|
found_element = element
|
|
|
|
unpacked = nodes.List(
|
|
ctx=Store, parent=self, lineno=self.lineno, col_offset=self.col_offset
|
|
)
|
|
unpacked.postinit(elts=found_element or [])
|
|
yield unpacked
|
|
return
|
|
|
|
yield util.Uninferable
|
|
|
|
|
|
nodes.Starred.assigned_stmts = starred_assigned_stmts
|