/usr/lib/python3/dist-packages/astroid/protocols.py is in python3-astroid 1.6.0-1.
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# Copyright (c) 2014-2016 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2014 Google, Inc.
# Copyright (c) 2015-2016 Cara Vinson <ceridwenv@gmail.com>
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
"""this module contains a set of functions to handle python protocols for nodes
where it makes sense.
"""
import collections
import operator as operator_mod
import sys
import six
from astroid import arguments
from astroid import bases
from astroid import context as contextmod
from astroid import exceptions
from astroid import decorators
from astroid import node_classes
from astroid import helpers
from astroid import nodes
from astroid import util
raw_building = util.lazy_import('raw_building')
objects = util.lazy_import('objects')
def _reflected_name(name):
return "__r" + name[2:]
def _augmented_name(name):
return "__i" + name[2:]
_CONTEXTLIB_MGR = 'contextlib.contextmanager'
BIN_OP_METHOD = {'+': '__add__',
'-': '__sub__',
'/': '__div__' if six.PY2 else '__truediv__',
'//': '__floordiv__',
'*': '__mul__',
'**': '__pow__',
'%': '__mod__',
'&': '__and__',
'|': '__or__',
'^': '__xor__',
'<<': '__lshift__',
'>>': '__rshift__',
'@': '__matmul__'
}
REFLECTED_BIN_OP_METHOD = {
key: _reflected_name(value)
for (key, value) in BIN_OP_METHOD.items()
}
AUGMENTED_OP_METHOD = {
key + "=": _augmented_name(value)
for (key, value) in BIN_OP_METHOD.items()
}
UNARY_OP_METHOD = {'+': '__pos__',
'-': '__neg__',
'~': '__invert__',
'not': None, # XXX not '__nonzero__'
}
_UNARY_OPERATORS = {
'+': operator_mod.pos,
'-': operator_mod.neg,
'~': operator_mod.invert,
'not': operator_mod.not_,
}
def _infer_unary_op(obj, op):
func = _UNARY_OPERATORS[op]
value = func(obj)
return nodes.const_factory(value)
nodes.Tuple.infer_unary_op = lambda self, op: _infer_unary_op(tuple(self.elts), op)
nodes.List.infer_unary_op = lambda self, op: _infer_unary_op(self.elts, op)
nodes.Set.infer_unary_op = lambda self, op: _infer_unary_op(set(self.elts), op)
nodes.Const.infer_unary_op = lambda self, op: _infer_unary_op(self.value, op)
nodes.Dict.infer_unary_op = lambda self, op: _infer_unary_op(dict(self.items), op)
# Binary operations
BIN_OP_IMPL = {'+': lambda a, b: a + b,
'-': lambda a, b: a - b,
'/': lambda a, b: a / b,
'//': lambda a, b: a // b,
'*': lambda a, b: a * b,
'**': lambda a, b: a ** b,
'%': lambda a, b: a % b,
'&': lambda a, b: a & b,
'|': lambda a, b: a | b,
'^': lambda a, b: a ^ b,
'<<': lambda a, b: a << b,
'>>': lambda a, b: a >> b,
}
if sys.version_info >= (3, 5):
# MatMult is available since Python 3.5+.
BIN_OP_IMPL['@'] = operator_mod.matmul
for _KEY, _IMPL in list(BIN_OP_IMPL.items()):
BIN_OP_IMPL[_KEY + '='] = _IMPL
@decorators.yes_if_nothing_inferred
def const_infer_binary_op(self, opnode, operator, other, context, _):
not_implemented = nodes.Const(NotImplemented)
if isinstance(other, nodes.Const):
try:
impl = BIN_OP_IMPL[operator]
try:
yield nodes.const_factory(impl(self.value, other.value))
except TypeError:
# ArithmeticError is not enough: float >> float is a TypeError
yield not_implemented
except Exception: # pylint: disable=broad-except
yield util.Uninferable
except TypeError:
yield not_implemented
elif isinstance(self.value, six.string_types) and operator == '%':
# TODO(cpopa): implement string interpolation later on.
yield util.Uninferable
else:
yield not_implemented
nodes.Const.infer_binary_op = const_infer_binary_op
def _multiply_seq_by_int(self, opnode, other, context):
node = self.__class__(parent=opnode)
elts = []
filtered_elts = (elt for elt in self.elts if elt is not util.Uninferable)
for elt in filtered_elts:
infered = helpers.safe_infer(elt, context)
if infered is None:
infered = util.Uninferable
elts.append(infered)
node.elts = elts * other.value
return node
def _filter_uninferable_nodes(elts, context):
for elt in elts:
if elt is util.Uninferable:
yield nodes.Unknown()
else:
for inferred in elt.infer(context):
if inferred is not util.Uninferable:
yield inferred
else:
yield nodes.Unknown()
@decorators.yes_if_nothing_inferred
def tl_infer_binary_op(self, opnode, operator, other, context, method):
not_implemented = nodes.Const(NotImplemented)
if isinstance(other, self.__class__) and operator == '+':
node = self.__class__(parent=opnode)
elts = list(_filter_uninferable_nodes(self.elts, context))
elts += list(_filter_uninferable_nodes(other.elts, context))
node.elts = elts
yield node
elif isinstance(other, nodes.Const) and operator == '*':
if not isinstance(other.value, int):
yield not_implemented
return
yield _multiply_seq_by_int(self, opnode, other, context)
elif isinstance(other, bases.Instance) and operator == '*':
# Verify if the instance supports __index__.
as_index = helpers.class_instance_as_index(other)
if not as_index:
yield util.Uninferable
else:
yield _multiply_seq_by_int(self, opnode, as_index, context)
else:
yield not_implemented
nodes.Tuple.infer_binary_op = tl_infer_binary_op
nodes.List.infer_binary_op = tl_infer_binary_op
@decorators.yes_if_nothing_inferred
def instance_class_infer_binary_op(self, opnode, operator, other, context, method):
return method.infer_call_result(self, context)
bases.Instance.infer_binary_op = instance_class_infer_binary_op
nodes.ClassDef.infer_binary_op = instance_class_infer_binary_op
# assignment ##################################################################
"""the assigned_stmts method is responsible to return the assigned statement
(e.g. not inferred) according to the assignment type.
The `asspath` argument is used to record the lhs path of the original node.
For instance if we want assigned statements for 'c' in 'a, (b,c)', asspath
will be [1, 1] once arrived to the Assign node.
The `context` argument is the current inference context which should be given
to any intermediary inference necessary.
"""
def _resolve_looppart(parts, asspath, context):
"""recursive function to resolve multiple assignments on loops"""
asspath = asspath[:]
index = asspath.pop(0)
for part in parts:
if part is util.Uninferable:
continue
# XXX handle __iter__ and log potentially detected errors
if not hasattr(part, 'itered'):
continue
try:
itered = part.itered()
except TypeError:
continue # XXX log error
for stmt in itered:
index_node = nodes.Const(index)
try:
assigned = stmt.getitem(index_node, context)
except (AttributeError,
exceptions.AstroidTypeError,
exceptions.AstroidIndexError):
continue
if not asspath:
# we achieved to resolved the assignment path,
# don't infer the last part
yield assigned
elif assigned is util.Uninferable:
break
else:
# we are not yet on the last part of the path
# search on each possibly inferred value
try:
for inferred in _resolve_looppart(assigned.infer(context),
asspath, context):
yield inferred
except exceptions.InferenceError:
break
@decorators.raise_if_nothing_inferred
def for_assigned_stmts(self, node=None, context=None, asspath=None):
if isinstance(self, nodes.AsyncFor) or getattr(self, 'is_async', False):
# Skip inferring of async code for now
raise StopIteration(dict(node=self, unknown=node,
assign_path=asspath, context=context))
if asspath is None:
for lst in self.iter.infer(context):
if isinstance(lst, (nodes.Tuple, nodes.List)):
for item in lst.elts:
yield item
else:
for inferred in _resolve_looppart(self.iter.infer(context),
asspath, context):
yield inferred
# Explicit StopIteration to return error information, see comment
# in raise_if_nothing_inferred.
raise StopIteration(dict(node=self, unknown=node,
assign_path=asspath, context=context))
nodes.For.assigned_stmts = for_assigned_stmts
nodes.Comprehension.assigned_stmts = for_assigned_stmts
def sequence_assigned_stmts(self, node=None, context=None, asspath=None):
if asspath is None:
asspath = []
try:
index = self.elts.index(node)
except ValueError:
util.reraise(exceptions.InferenceError(
'Tried to retrieve a node {node!r} which does not exist',
node=self, assign_path=asspath, context=context))
asspath.insert(0, index)
return self.parent.assigned_stmts(node=self, context=context, asspath=asspath)
nodes.Tuple.assigned_stmts = sequence_assigned_stmts
nodes.List.assigned_stmts = sequence_assigned_stmts
def assend_assigned_stmts(self, node=None, context=None, asspath=None):
return self.parent.assigned_stmts(node=self, context=context)
nodes.AssignName.assigned_stmts = assend_assigned_stmts
nodes.AssignAttr.assigned_stmts = assend_assigned_stmts
def _arguments_infer_argname(self, name, context):
# arguments information may be missing, in which case we can't do anything
# more
if not (self.args or self.vararg or self.kwarg):
yield util.Uninferable
return
# first argument of instance/class method
if self.args and getattr(self.args[0], 'name', None) == name:
functype = self.parent.type
cls = self.parent.parent.scope()
is_metaclass = isinstance(cls, nodes.ClassDef) and cls.type == 'metaclass'
# If this is a metaclass, then the first argument will always
# be the class, not an instance.
if is_metaclass or functype == 'classmethod':
yield cls
return
if functype == 'method':
yield bases.Instance(self.parent.parent.frame())
return
if context and context.callcontext:
call_site = arguments.CallSite(context.callcontext)
for value in call_site.infer_argument(self.parent, name, context):
yield value
return
# TODO: just provide the type here, no need to have an empty Dict.
if name == self.vararg:
vararg = nodes.const_factory(())
vararg.parent = self
yield vararg
return
if name == self.kwarg:
kwarg = nodes.const_factory({})
kwarg.parent = self
yield kwarg
return
# if there is a default value, yield it. And then yield Uninferable to reflect
# we can't guess given argument value
try:
context = contextmod.copy_context(context)
for inferred in self.default_value(name).infer(context):
yield inferred
yield util.Uninferable
except exceptions.NoDefault:
yield util.Uninferable
def arguments_assigned_stmts(self, node=None, context=None, asspath=None):
if context.callcontext:
# reset call context/name
callcontext = context.callcontext
context = contextmod.copy_context(context)
context.callcontext = None
args = arguments.CallSite(callcontext)
return args.infer_argument(self.parent, node.name, context)
return _arguments_infer_argname(self, node.name, context)
nodes.Arguments.assigned_stmts = arguments_assigned_stmts
@decorators.raise_if_nothing_inferred
def assign_assigned_stmts(self, node=None, context=None, asspath=None):
if not asspath:
yield self.value
return
for inferred in _resolve_asspart(self.value.infer(context), asspath, context):
yield inferred
# Explicit StopIteration to return error information, see comment
# in raise_if_nothing_inferred.
raise StopIteration(dict(node=self, unknown=node,
assign_path=asspath, context=context))
def assign_annassigned_stmts(self, node=None, context=None, asspath=None):
for inferred in assign_assigned_stmts(self, node, context, asspath):
if inferred is None:
yield util.Uninferable
else:
yield inferred
nodes.Assign.assigned_stmts = assign_assigned_stmts
nodes.AnnAssign.assigned_stmts = assign_annassigned_stmts
nodes.AugAssign.assigned_stmts = assign_assigned_stmts
def _resolve_asspart(parts, asspath, context):
"""recursive function to resolve multiple assignments"""
asspath = asspath[:]
index = asspath.pop(0)
for part in parts:
if hasattr(part, 'getitem'):
index_node = nodes.Const(index)
try:
assigned = part.getitem(index_node, context)
# XXX raise a specific exception to avoid potential hiding of
# unexpected exception ?
except (exceptions.AstroidTypeError, exceptions.AstroidIndexError):
return
if not asspath:
# we achieved to resolved the assignment path, don't infer the
# last part
yield assigned
elif assigned is util.Uninferable:
return
else:
# we are not yet on the last part of the path search on each
# possibly inferred value
try:
for inferred in _resolve_asspart(assigned.infer(context),
asspath, context):
yield inferred
except exceptions.InferenceError:
return
@decorators.raise_if_nothing_inferred
def excepthandler_assigned_stmts(self, node=None, context=None, asspath=None):
for assigned in node_classes.unpack_infer(self.type):
if isinstance(assigned, nodes.ClassDef):
assigned = objects.ExceptionInstance(assigned)
yield assigned
# Explicit StopIteration to return error information, see comment
# in raise_if_nothing_inferred.
raise StopIteration(dict(node=self, unknown=node,
assign_path=asspath, context=context))
nodes.ExceptHandler.assigned_stmts = excepthandler_assigned_stmts
def _infer_context_manager(self, mgr, context):
try:
inferred = next(mgr.infer(context=context))
except exceptions.InferenceError:
return
if isinstance(inferred, bases.Generator):
# Check if it is decorated with contextlib.contextmanager.
func = inferred.parent
if not func.decorators:
return
for decorator_node in func.decorators.nodes:
decorator = next(decorator_node.infer(context))
if isinstance(decorator, nodes.FunctionDef):
if decorator.qname() == _CONTEXTLIB_MGR:
break
else:
# It doesn't interest us.
return
# Get the first yield point. If it has multiple yields,
# then a RuntimeError will be raised.
# TODO(cpopa): Handle flows.
yield_point = next(func.nodes_of_class(nodes.Yield), None)
if yield_point:
if not yield_point.value:
# TODO(cpopa): an empty yield. Should be wrapped to Const.
const = nodes.Const(None)
const.parent = yield_point
const.lineno = yield_point.lineno
yield const
else:
for inferred in yield_point.value.infer(context=context):
yield inferred
elif isinstance(inferred, bases.Instance):
try:
enter = next(inferred.igetattr('__enter__', context=context))
except (exceptions.InferenceError, exceptions.AttributeInferenceError):
return
if not isinstance(enter, bases.BoundMethod):
return
if not context.callcontext:
context.callcontext = contextmod.CallContext(args=[inferred])
for result in enter.infer_call_result(self, context):
yield result
@decorators.raise_if_nothing_inferred
def with_assigned_stmts(self, node=None, context=None, asspath=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: TODO
asspath: TODO
"""
mgr = next(mgr for (mgr, vars) in self.items if vars == node)
if asspath is None:
for result in _infer_context_manager(self, mgr, context):
yield result
else:
for result in _infer_context_manager(self, mgr, context):
# Walk the asspath and get the item at the final index.
obj = result
for index in asspath:
if not hasattr(obj, 'elts'):
raise exceptions.InferenceError(
'Wrong type ({targets!r}) for {node!r} assignment',
node=self, targets=node, assign_path=asspath,
context=context)
try:
obj = obj.elts[index]
except IndexError:
util.reraise(exceptions.InferenceError(
'Tried to infer a nonexistent target with index {index} '
'in {node!r}.', node=self, targets=node,
assign_path=asspath, context=context))
except TypeError:
util.reraise(exceptions.InferenceError(
'Tried to unpack an non-iterable value '
'in {node!r}.', node=self, targets=node,
assign_path=asspath, context=context))
yield obj
# Explicit StopIteration to return error information, see comment
# in raise_if_nothing_inferred.
raise StopIteration(dict(node=self, unknown=node,
assign_path=asspath, context=context))
nodes.With.assigned_stmts = with_assigned_stmts
@decorators.yes_if_nothing_inferred
def starred_assigned_stmts(self, node=None, context=None, asspath=None):
"""
Arguments:
self: nodes.Starred
node: TODO
context: TODO
asspath: TODO
"""
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 isinstance(stmt, nodes.Assign):
value = stmt.value
lhs = stmt.targets[0]
if sum(1 for node 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)
if context is None:
context = contextmod.InferenceContext()
try:
rhs = next(value.infer(context))
except exceptions.InferenceError:
yield util.Uninferable
return
if rhs is util.Uninferable or not hasattr(rhs, 'elts'):
# Not interested in inferred values without elts.
yield util.Uninferable
return
elts = collections.deque(rhs.elts[:])
if len(lhs.elts) > len(rhs.elts):
raise exceptions.InferenceError('More targets, {targets!r}, than '
'values to unpack, {values!r}.',
node=self, targets=lhs,
values=rhs, unknown=node,
context=context)
# 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):
elts.popleft()
continue
lhs_elts = collections.deque(reversed(lhs.elts[index:]))
for right_node in lhs_elts:
if not isinstance(right_node, nodes.Starred):
elts.pop()
continue
# We're done
packed = nodes.List()
packed.elts = elts
packed.parent = self
yield packed
break
nodes.Starred.assigned_stmts = starred_assigned_stmts
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