# 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 . """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 copy_context, \ 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 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: context = copy_context(context) 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 context = copy_context(context) context.callcontext = None for infered in callcontext.infer_argument(self.parent, node.name, context): yield infered return for infered in _arguments_infer_argname(self, node.name, context): yield infered 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)