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Unified Diff: third_party/logilab/logilab/astroid/protocols.py

Issue 1920403002: [content/test/gpu] Run pylint check of gpu tests in unittest instead of PRESUBMIT (Closed) Base URL: https://chromium.googlesource.com/chromium/src.git@master
Patch Set: Update path to LICENSE.txt of logilab/README.chromium Created 4 years, 7 months ago
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Index: third_party/logilab/logilab/astroid/protocols.py
diff --git a/third_party/logilab/logilab/astroid/protocols.py b/third_party/logilab/logilab/astroid/protocols.py
new file mode 100644
index 0000000000000000000000000000000000000000..4dd515fd00f6a58438ed2c0ca133c2575dac5c9c
--- /dev/null
+++ b/third_party/logilab/logilab/astroid/protocols.py
@@ -0,0 +1,361 @@
+# copyright 2003-2013 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
+# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
+#
+# This file is part of astroid.
+#
+# astroid is free software: you can redistribute it and/or modify it
+# under the terms of the GNU Lesser General Public License as published by the
+# Free Software Foundation, either version 2.1 of the License, or (at your
+# option) any later version.
+#
+# astroid is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
+# for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License along
+# with astroid. If not, see <http://www.gnu.org/licenses/>.
+"""this module contains a set of functions to handle python protocols for nodes
+where it makes sense.
+"""
+
+__doctype__ = "restructuredtext en"
+
+from astroid.exceptions import InferenceError, NoDefault, NotFoundError
+from astroid.node_classes import unpack_infer
+from astroid.bases import InferenceContext, \
+ raise_if_nothing_infered, yes_if_nothing_infered, Instance, YES
+from astroid.nodes import const_factory
+from astroid import nodes
+
+BIN_OP_METHOD = {'+': '__add__',
+ '-': '__sub__',
+ '/': '__div__',
+ '//': '__floordiv__',
+ '*': '__mul__',
+ '**': '__power__',
+ '%': '__mod__',
+ '&': '__and__',
+ '|': '__or__',
+ '^': '__xor__',
+ '<<': '__lshift__',
+ '>>': '__rshift__',
+ }
+
+UNARY_OP_METHOD = {'+': '__pos__',
+ '-': '__neg__',
+ '~': '__invert__',
+ 'not': None, # XXX not '__nonzero__'
+ }
+
+# unary operations ############################################################
+
+def tl_infer_unary_op(self, operator):
+ if operator == 'not':
+ return const_factory(not bool(self.elts))
+ raise TypeError() # XXX log unsupported operation
+nodes.Tuple.infer_unary_op = tl_infer_unary_op
+nodes.List.infer_unary_op = tl_infer_unary_op
+
+
+def dict_infer_unary_op(self, operator):
+ if operator == 'not':
+ return const_factory(not bool(self.items))
+ raise TypeError() # XXX log unsupported operation
+nodes.Dict.infer_unary_op = dict_infer_unary_op
+
+
+def const_infer_unary_op(self, operator):
+ if operator == 'not':
+ return const_factory(not self.value)
+ # XXX log potentially raised TypeError
+ elif operator == '+':
+ return const_factory(+self.value)
+ else: # operator == '-':
+ return const_factory(-self.value)
+nodes.Const.infer_unary_op = const_infer_unary_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,
+ }
+for key, impl in list(BIN_OP_IMPL.items()):
+ BIN_OP_IMPL[key+'='] = impl
+
+def const_infer_binary_op(self, operator, other, context):
+ for other in other.infer(context):
+ if isinstance(other, nodes.Const):
+ try:
+ impl = BIN_OP_IMPL[operator]
+
+ try:
+ yield const_factory(impl(self.value, other.value))
+ except Exception:
+ # ArithmeticError is not enough: float >> float is a TypeError
+ # TODO : let pylint know about the problem
+ pass
+ except TypeError:
+ # XXX log TypeError
+ continue
+ elif other is YES:
+ yield other
+ else:
+ try:
+ for val in other.infer_binary_op(operator, self, context):
+ yield val
+ except AttributeError:
+ yield YES
+nodes.Const.infer_binary_op = yes_if_nothing_infered(const_infer_binary_op)
+
+
+def tl_infer_binary_op(self, operator, other, context):
+ for other in other.infer(context):
+ if isinstance(other, self.__class__) and operator == '+':
+ node = self.__class__()
+ elts = [n for elt in self.elts for n in elt.infer(context)
+ if not n is YES]
+ elts += [n for elt in other.elts for n in elt.infer(context)
+ if not n is YES]
+ node.elts = elts
+ yield node
+ elif isinstance(other, nodes.Const) and operator == '*':
+ if not isinstance(other.value, int):
+ yield YES
+ continue
+ node = self.__class__()
+ elts = [n for elt in self.elts for n in elt.infer(context)
+ if not n is YES] * other.value
+ node.elts = elts
+ yield node
+ elif isinstance(other, Instance) and not isinstance(other, nodes.Const):
+ yield YES
+ # XXX else log TypeError
+nodes.Tuple.infer_binary_op = yes_if_nothing_infered(tl_infer_binary_op)
+nodes.List.infer_binary_op = yes_if_nothing_infered(tl_infer_binary_op)
+
+
+def dict_infer_binary_op(self, operator, other, context):
+ for other in other.infer(context):
+ if isinstance(other, Instance) and isinstance(other._proxied, nodes.Class):
+ yield YES
+ # XXX else log TypeError
+nodes.Dict.infer_binary_op = yes_if_nothing_infered(dict_infer_binary_op)
+
+def instance_infer_binary_op(self, operator, other, context):
+ try:
+ methods = self.getattr(BIN_OP_METHOD[operator])
+ except (NotFoundError, KeyError):
+ # Unknown operator
+ yield YES
+ else:
+ for method in methods:
+ if not isinstance(method, nodes.Function):
+ continue
+ for result in method.infer_call_result(self, context):
+ if result is not YES:
+ yield result
+ # We are interested only in the first infered method,
+ # don't go looking in the rest of the methods of the ancestors.
+ break
+
+Instance.infer_binary_op = yes_if_nothing_infered(instance_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 YES:
+ 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:
+ try:
+ assigned = stmt.getitem(index, context)
+ except (AttributeError, IndexError):
+ continue
+ except TypeError: # stmt is unsubscriptable Const
+ continue
+ if not asspath:
+ # we achieved to resolved the assignment path,
+ # don't infer the last part
+ yield assigned
+ elif assigned is YES:
+ break
+ else:
+ # we are not yet on the last part of the path
+ # search on each possibly inferred value
+ try:
+ for infered in _resolve_looppart(assigned.infer(context),
+ asspath, context):
+ yield infered
+ except InferenceError:
+ break
+
+
+def for_assigned_stmts(self, node, context=None, asspath=None):
+ 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 infered in _resolve_looppart(self.iter.infer(context),
+ asspath, context):
+ yield infered
+
+nodes.For.assigned_stmts = raise_if_nothing_infered(for_assigned_stmts)
+nodes.Comprehension.assigned_stmts = raise_if_nothing_infered(for_assigned_stmts)
+
+
+def mulass_assigned_stmts(self, node, context=None, asspath=None):
+ if asspath is None:
+ asspath = []
+ asspath.insert(0, self.elts.index(node))
+ return self.parent.assigned_stmts(self, context, asspath)
+nodes.Tuple.assigned_stmts = mulass_assigned_stmts
+nodes.List.assigned_stmts = mulass_assigned_stmts
+
+
+def assend_assigned_stmts(self, context=None):
+ return self.parent.assigned_stmts(self, context=context)
+nodes.AssName.assigned_stmts = assend_assigned_stmts
+nodes.AssAttr.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 YES
+ return
+ # first argument of instance/class method
+ if self.args and getattr(self.args[0], 'name', None) == name:
+ functype = self.parent.type
+ if functype == 'method':
+ yield Instance(self.parent.parent.frame())
+ return
+ if functype == 'classmethod':
+ yield self.parent.parent.frame()
+ return
+ if name == self.vararg:
+ vararg = const_factory(())
+ vararg.parent = self
+ yield vararg
+ return
+ if name == self.kwarg:
+ kwarg = const_factory({})
+ kwarg.parent = self
+ yield kwarg
+ return
+ # if there is a default value, yield it. And then yield YES to reflect
+ # we can't guess given argument value
+ try:
+ if context is None:
+ context = InferenceContext()
+ for infered in self.default_value(name).infer(context):
+ yield infered
+ yield YES
+ except NoDefault:
+ yield YES
+
+
+def arguments_assigned_stmts(self, node, context, asspath=None):
+ if context.callcontext:
+ # reset call context/name
+ callcontext = context.callcontext
+ return callcontext.infer_argument(self.parent, node.name, context)
+ return _arguments_infer_argname(self, node.name, context)
+nodes.Arguments.assigned_stmts = arguments_assigned_stmts
+
+
+def assign_assigned_stmts(self, node, context=None, asspath=None):
+ if not asspath:
+ yield self.value
+ return
+ for infered in _resolve_asspart(self.value.infer(context), asspath, context):
+ yield infered
+nodes.Assign.assigned_stmts = raise_if_nothing_infered(assign_assigned_stmts)
+nodes.AugAssign.assigned_stmts = raise_if_nothing_infered(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'):
+ try:
+ assigned = part.getitem(index, context)
+ # XXX raise a specific exception to avoid potential hiding of
+ # unexpected exception ?
+ except (TypeError, IndexError):
+ return
+ if not asspath:
+ # we achieved to resolved the assignment path, don't infer the
+ # last part
+ yield assigned
+ elif assigned is YES:
+ return
+ else:
+ # we are not yet on the last part of the path search on each
+ # possibly inferred value
+ try:
+ for infered in _resolve_asspart(assigned.infer(context),
+ asspath, context):
+ yield infered
+ except InferenceError:
+ return
+
+
+def excepthandler_assigned_stmts(self, node, context=None, asspath=None):
+ for assigned in unpack_infer(self.type):
+ if isinstance(assigned, nodes.Class):
+ assigned = Instance(assigned)
+ yield assigned
+nodes.ExceptHandler.assigned_stmts = raise_if_nothing_infered(excepthandler_assigned_stmts)
+
+
+def with_assigned_stmts(self, node, context=None, asspath=None):
+ if asspath is None:
+ for _, vars in self.items:
+ if vars is None:
+ continue
+ for lst in vars.infer(context):
+ if isinstance(lst, (nodes.Tuple, nodes.List)):
+ for item in lst.nodes:
+ yield item
+nodes.With.assigned_stmts = raise_if_nothing_infered(with_assigned_stmts)
+
+
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