def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args: 'functions.FunctionArgInput', option: 'vevaluator.VEvalContext' = None, line=-1): funcArgs = self.args.merge_inputs(inst, args) if inst.in_container: raise Exception('Invalid operation') key_hashes = inst.get_value().internal_keys.keys() attributes = inst.get_value().internal_values vargs = [] vargs_ref = [] for hash in key_hashes: varg = attributes.get_attribute(hash) if varg.has_obj(): vargs.append(utils.try_get_obj(varg, 'dict_values', utils.LineProperty()).get_value()) vargs_ref.append(utils.try_get_obj(varg, 'dict_values', utils.LineProperty())) else: assert(False) node = nodes.NodeGenerate('List', vargs , line) graph.add_node(node) value = values.ListValue(vargs_ref) value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return value
def veval_ast_call(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph') -> 'Attribute': assert (isinstance(astc.nast, gast.gast.Call)) lineprop = utils.LineProperty(astc.lineno, astc.filename) func = veval_ast(astc.c(astc.nast.func), local_field, graph) if func == None or not func.has_obj(): utils.print_warning( 'Unknown function "{}" is called'.format( get_ast_name_forcibly(astc.nast.func)), lineprop) return None func_obj = try_get_ref(func, 'call', lineprop) func_value = try_get_value(func, 'call', lineprop) finput = functions.FunctionArgInput() for arg in astc.nast.args: arg_ = veval_ast(astc.c(arg), local_field, graph) finput.inputs.append(try_get_ref(arg_, 'call', lineprop)) for keyword in astc.nast.keywords: arg_ = veval_ast(astc.c(keyword.value), local_field, graph) finput.keywords[keyword.arg] = try_get_ref(arg_, 'call', lineprop) lineprop = utils.LineProperty(astc.lineno, astc.filename) # check arguments for o in finput.inputs: if o is None: utils.print_warning( 'Invalid arguments exists in "{}"'.format( get_ast_name_forcibly(astc.nast.func)), lineprop) return None ret = None if isinstance(func_value, values.FuncValue): ret = func_value.func.vcall(func_value.module, graph, func_value.obj, finput, lineprop) return ret elif isinstance(func_value, values.Instance): # __call__ call_func_ref = func_obj.try_get_and_store_obj('__call__', graph.root_graph) if call_func_ref is not None: func_value = call_func_ref.get_value() ret = func_value.func.vcall(func_value.module, graph, func_obj, finput, lineprop) return ret if config.show_warnings: print('Unknown function is called in L.{}'.format(astc.lineno)) return None
def veval_ast_aug_assign(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.AugAssign)) lineprop = utils.LineProperty(astc.lineno, astc.filename) target = veval_ast(astc.c(astc.nast.target), local_field, graph) value = veval_ast(astc.c(astc.nast.value), local_field, graph) target_value = try_get_value(target, 'aug_assign', lineprop) value_value = try_get_value(value, 'aug_assign', lineprop) binop = nodes.BinOpType.Unknown if isinstance(astc.nast.op, gast.Add): binop = nodes.BinOpType.Add if isinstance(astc.nast.op, gast.Sub): binop = nodes.BinOpType.Sub node_aug_assign = nodes.NodeAugAssign(target_value, value_value, binop, astc.lineno) graph.add_node(node_aug_assign) # TODO : estimate type new_value = functions.generate_value_with_same_type(target_value) node_aug_assign.set_outputs([new_value]) target.get_ref().revise(new_value)
def veval_ast_bool_op(astc: 'AstContext', local_field: 'values.Field', graph: 'graphs.Graph'): """ eval bool operations. Ex. x and y """ assert (isinstance(astc.nast, gast.gast.BoolOp)) lineprop = utils.LineProperty(astc.lineno, astc.filename) multiaryop = nodes.MultiaryOpType.Unknown if isinstance(astc.nast.op, gast.And): multiaryop = nodes.MultiaryOpType.And if isinstance(astc.nast.op, gast.Or): multiaryop = nodes.MultiaryOpType.Or values_list = [ veval_ast(astc.c(value_), local_field, graph) for value_ in astc.nast.values ] values_list_value = [ try_get_value(value_, 'multiary', lineprop) for value_ in values_list ] node = nodes.NodeMultiaryOp(values_list_value, multiaryop) ret_value = veval_multiary.veval(multiaryop, values_list_value) node.set_outputs([ret_value]) graph.add_node(node) return values.ValueRef(ret_value)
def __init__(self, classinfo): super().__init__() members = inspect.getmembers(classinfo) init_func = [m[1] for m in members if m[0] == '__init__'] assert(len(init_func) == 1) func = init_func[0] self.inst = func self.name = func.__name__ self.filename = inspect.getfile(func) sourcelines = inspect.getsourcelines(func) if sourcelines is None or len(sourcelines) < 1: utils.print_warning('Failed to parase {}'.format(classinfo), utils.LineProperty()) return self.lineno = sourcelines[1] self.classinfo = classinfo original_code = inspect.getsource(func) code = utils.clip_head(original_code) self.args.analyze_args(func) ast_ = gast.ast_to_gast(ast.parse(code)).body[0] self.ast = canonicalizer.Canonicalizer().visit(ast_)
def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args: 'FunctionArgInput', context: 'VEvalContext' = None, line=-1): self.func_field.set_module(module) # add args funcArgs = self.args.merge_inputs(inst, args) for k, v in funcArgs.keywords.items(): self.func_field.get_field().get_attribute( k, from_module=False).revise( utils.try_get_obj(v, self.name, utils.LineProperty())) astc = vevaluator.AstContext(self.ast.body, self.lineno - 1, filename=self.filename) ret = vevaluator.veval_ast(astc, self.func_field, graph) # dispose because of exit from function self.func_field.dispose() return ret
def veval_ast_unary_op(astc: 'AstContext', local_field: 'values.Field', graph: 'graphs.Graph'): """ eval unary operation. Ex. -xx """ assert (isinstance(astc.nast, gast.gast.UnaryOp)) lineprop = utils.LineProperty(astc.lineno, astc.filename) unaryop = nodes.UnaryOpType.Unknown if isinstance(astc.nast.op, gast.UAdd): unaryop = nodes.UnaryOpType.UAdd if isinstance(astc.nast.op, gast.USub): unaryop = nodes.UnaryOpType.USub if isinstance(astc.nast.op, gast.Not): unaryop = nodes.UnaryOpType.Not operand = veval_ast(astc.c(astc.nast.operand), local_field, graph) operand_value = try_get_value(operand, 'unary', lineprop) node = nodes.NodeUnaryOp(operand_value, unaryop) ret_value = veval_unary.veval(unaryop, operand_value) node.set_outputs([ret_value]) graph.add_node(node) return values.ValueRef(ret_value)
def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args: 'functions.FunctionArgInput', context: 'functions.VEvalContext' = None, line=-1): func_args = self.args.merge_inputs(inst, args) name = func_args.get_value().get_value(key='name') obj = func_args.keywords['object'] attr = obj.get_field().get_attribute(name.internal_value, graph.root_graph, False) # property(getter) if attr.has_obj() and isinstance(attr.get_obj().get_value( ), values.FuncValue) and attr.get_obj().get_value().func.is_property: func_value = attr.get_obj().get_value() ret = func_value.func.vcall(func_value.module, graph, func_value.obj, functions.FunctionArgInput(), context, utils.LineProperty(line)) return ret if attr.has_obj(): return attr # if attr is not found gotten_obj = obj.try_get_and_store_obj(name.internal_value, graph.root_graph) if gotten_obj is not None: return obj.get_field().get_attribute(name.internal_value, graph.root_graph, False) return None
def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args: 'functions.FunctionArgInput', context: 'functions.VEvalContext' = None, line=-1): assert (inst is None) funcArgs = self.args.merge_inputs(inst, args) vargs = funcArgs.get_value().inputs value = values.ListValue() if isinstance(vargs[0], values.NoneValue): node = nodes.NodeGenerate('List', [], line) graph.add_node(node) else: node = nodes.NodeConvert('List', vargs[0], line) graph.add_node(node) if vargs[0].has_constant_value(): refs = [] for attr_or_ref in vargs[0].internal_value: refs.append( utils.try_get_obj(attr_or_ref, 'list', utils.LineProperty())) value.internal_value = refs value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args: 'FunctionArgInput', context: 'VEvalContext' = None, line=-1): raise utils.UnimplementedError( '{} is unimplemented.'.format(self.name), utils.LineProperty(line))
def veval_ast_assign(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.Assign)) lineprop = utils.LineProperty(astc.lineno, astc.filename) value = veval_ast(astc.c(astc.nast.value), local_field, graph) value_obj = try_get_ref(value, 'assign', lineprop) if value is None: if config.show_warnings: print( 'It is possible that assiging value is invalid in L.{}'.format( astc.lineno)) return None target_option = VEvalOption() target_option.eval_as_written_target = True targets = veval_ast(astc.c(astc.nast.targets[0]), local_field, graph, target_option) def return_value_or_ref(obj: 'value.Object'): if isinstance(obj.get_value(), values.NumberValue): return values.ValueRef(obj.get_value()) if isinstance(obj.get_value(), values.StrValue): return values.ValueRef(obj.get_value()) if isinstance(obj.get_value(), values.BoolValue): return values.ValueRef(obj.get_value()) if isinstance(obj.get_value(), values.NoneValue): return values.ValueRef(obj.get_value()) if isinstance(obj.get_value(), values.TupleValue): return values.ValueRef(obj.get_value()) return obj if isinstance(targets, list): # ex. a,b = (1,2) if not isinstance(value_obj.get_value(), values.TupleValue): # TODO fix it assert (False) # not supported for i in range(len(targets)): node_assign = nodes.NodeAssign( targets[i], value_obj.get_value().get_constant_value()[i], astc.lineno) targets[i].revise( try_get_ref(value_obj.get_value().get_constant_value()[i], 'assign', lineprop)) graph.add_node(node_assign) else: assigned_obj = return_value_or_ref(value_obj) node_assign = nodes.NodeAssign(targets, assigned_obj, astc.lineno) targets.revise(assigned_obj) graph.add_node(node_assign)
def veval_ast_attribute(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph', option: 'VEvalOption' = None) -> 'Attribute': assert (isinstance(astc.nast, gast.gast.Attribute)) lineprop = utils.LineProperty(astc.lineno, astc.filename) from_module = True if option is not None and option.eval_as_written_target: from_module = False value = veval_ast(astc.c(astc.nast.value), local_field, graph) value_ref = try_get_ref(value, 'attribute', lineprop) if (value_ref is None): utils.print_warning( 'Unknown or disabled attribute "{}" is accessed'.format( get_ast_name_forcibly(astc.nast.value)), lineprop) return None attr = value_ref.get_field().get_attribute(astc.nast.attr, graph.root_graph, from_module) # property(getter) if attr.has_obj() and isinstance( attr.get_ref().get_value(), values.FuncValue) and attr.get_ref().get_value().func.is_property: func_value = attr.get_ref().get_value() ret = func_value.func.vcall(func_value.module, graph, func_value.obj, functions.FunctionArgInput(), lineprop) return ret if attr.has_obj(): return attr # if attr is not found gotten_obj = value_ref.try_get_and_store_obj(astc.nast.attr, graph.root_graph) if gotten_obj is not None: return value_ref.get_field().get_attribute(astc.nast.attr, graph.root_graph, from_module) if option is not None and option.eval_as_written_target: return attr # value is unknown if value is None: utils.print_warning( 'Assigning value {} is not found'.format( get_ast_name_forcibly(astc.nast.value)), lineprop) else: utils.print_warning( 'Assigning value {} is not found'.format( get_ast_name_forcibly(astc.nast.attr)), lineprop) return None
def __init__(self, line): self.inputs = [] self.outputs = [] self.subgraphs = [] self.lineprop = utils.LineProperty() if isinstance(line, int): self.lineprop.lineno = line else: self.lineprop = line return
def veval_ast_str(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. "str" ''' assert (isinstance(astc.nast, gast.gast.Str)) lineprop = utils.LineProperty(astc.lineno, astc.filename) value = values.StrValue(astc.nast.s) ret = values.ValueRef(value) name = values.create_ref_value_name_with_constant(ret) ret.name = name ret.get_value().name = name return ret
def veval_ast_for_unroll(astc: 'AstContext', target_name, iter_: 'values.ListValue', local_field: 'values.Field', graph: 'Graph'): ''' for target in iter: ... with unroll ''' assert (isinstance(astc.nast, gast.gast.For)) lineprop = utils.LineProperty(astc.lineno, astc.filename) for element in iter_.get_constant_value(): local_field.get_attribute(target_name).revise(element) veval_ast(astc.c(astc.nast.body), local_field, graph) return None
def veval_ast_return(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph') -> 'None': assert (isinstance(astc.nast, gast.gast.Return)) lineprop = utils.LineProperty(astc.lineno, astc.filename) value = veval_ast(astc.c(astc.nast.value), local_field, graph) value_obj = try_get_ref(value, 'return', lineprop) value_value = try_get_value(value, 'return', lineprop) if value_value is None: if config.show_warnings: print('Returned values are not found. in L.{}'.format(astc.lineno)) return None node = nodes.NodeReturn(value_value, astc.lineno) graph.add_node(node) return value_obj
def veval_ast_name_constant(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. True ''' assert (isinstance(astc.nast, gast.gast.NameConstant)) lineprop = utils.LineProperty(astc.lineno, astc.filename) ret = None if astc.nast.value == True: ret = values.ValueRef(values.BoolValue(True)) if astc.nast.value == False: ret = values.ValueRef(values.BoolValue(False)) if astc.nast.value is None: ret = values.ValueRef(values.NoneValue()) name = values.create_ref_value_name_with_constant(ret) ret.name = name ret.get_value().name = name return ret
def veval_ast_compare(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): """ eval Compare. Ex. a >= b, a != b, a is b, etc """ assert (isinstance(astc.nast, gast.gast.Compare)) lineprop = utils.LineProperty(astc.lineno, astc.filename) left = veval_ast(astc.c(astc.nast.left), local_field, graph) right = veval_ast(astc.c(astc.nast.comparators[0]), local_field, graph) left_value = try_get_value(left, 'compare', lineprop) right_value = try_get_value(right, 'compare', lineprop) compare = nodes.CompareType.unknown if isinstance(astc.nast.ops[0], gast.Eq): compare = nodes.CompareType.Eq if isinstance(astc.nast.ops[0], gast.NotEq): compare = nodes.CompareType.NotEq if isinstance(astc.nast.ops[0], gast.Is): compare = nodes.CompareType.Is if isinstance(astc.nast.ops[0], gast.IsNot): compare = nodes.CompareType.IsNot if isinstance(astc.nast.ops[0], gast.Gt): compare = nodes.CompareType.Gt if isinstance(astc.nast.ops[0], gast.GtE): compare = nodes.CompareType.GtE if isinstance(astc.nast.ops[0], gast.Lt): compare = nodes.CompareType.Lt if isinstance(astc.nast.ops[0], gast.LtE): compare = nodes.CompareType.LtE node_compare = nodes.NodeCompare(left_value, right_value, compare, astc.lineno) ret_value = values.BoolValue(None) ret_value.name = '@{}'.format(lineprop) node_compare.set_outputs([ret_value]) graph.add_node(node_compare) return values.ValueRef(ret_value)
def veval_ast_bin_op(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): """ eval binary operation. Ex. a + b, b // c, etc """ assert (isinstance(astc.nast, gast.gast.BinOp)) lineprop = utils.LineProperty(astc.lineno, astc.filename) left = veval_ast(astc.c(astc.nast.left), local_field, graph) right = veval_ast(astc.c(astc.nast.right), local_field, graph) left_value = try_get_value(left, 'compare', lineprop) right_value = try_get_value(right, 'compare', lineprop) binop = nodes.BinOpType.Unknown if isinstance(astc.nast.op, gast.Add): binop = nodes.BinOpType.Add elif isinstance(astc.nast.op, gast.Sub): binop = nodes.BinOpType.Sub elif isinstance(astc.nast.op, gast.Mult): binop = nodes.BinOpType.Mul elif isinstance(astc.nast.op, gast.Div): binop = nodes.BinOpType.Div elif isinstance(astc.nast.op, gast.FloorDiv): binop = nodes.BinOpType.FloorDiv else: utils.print_warning('Unknown binary operator {}'.format(astc.nast.op), lineprop) return None node_bin_op = nodes.NodeBinOp(left_value, right_value, binop, astc.lineno) ret_value = veval_bin.veval(binop, left_value, right_value, lineprop) node_bin_op.set_outputs([ret_value]) graph.add_node(node_bin_op) return values.ValueRef(ret_value)
def veval_ast_list(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.List)) ''' Ex. [],[x,y,z] TODO : Initializer ''' lineprop = utils.LineProperty(astc.lineno, astc.filename) elts = [] for elt in astc.nast.elts: elt_ = veval_ast(astc.c(elt), local_field, graph) elt_obj = try_get_ref(elt_, 'list', lineprop) elts.append(elt_obj) node = nodes.NodeGenerate('List', [elt.get_value() for elt in elts], lineprop) graph.add_node(node) value = values.ListValue(elts) node.set_outputs([value]) return values.ValueRef(value)
def veval_ast_tuple(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph', option: 'VEvalOption' = None): assert (isinstance(astc.nast, gast.gast.Tuple)) lineprop = utils.LineProperty(astc.lineno, astc.filename) if option is not None and option.eval_as_written_target: vs = [] for v in astc.nast.elts: a_ = veval_ast(astc.c(v), local_field, graph, option=option) vs.append(a_) return vs else: vs_ref = [] vs = [] for v in astc.nast.elts: a_ = veval_ast(astc.c(v), local_field, graph, option=option) v_ = try_get_ref(a_, 'tuple', lineprop) if v_ is None: utils.print_warning('Unknown tuple element {}'.format(v), lineprop) return None vs_ref.append(v_) vs.append(v_.get_value()) v_.in_container = True tuple_value = values.TupleValue(vs_ref) node = nodes.NodeGenerate('Tuple', vs, line=lineprop) node.set_outputs([tuple_value]) graph.add_node(node) return values.ValueRef(tuple_value)
def veval_ast_listcomp(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. [x for x in xx] [elt for target in iter] ''' assert (isinstance(astc.nast, gast.gast.ListComp)) lineprop = utils.LineProperty(astc.lineno, astc.filename) listcomp_guid = str(utils.get_guid()) listcomp_id = 'listcomp_' + listcomp_guid body_id = 'listcomp_body_' + listcomp_guid internal_counter_id = '@internal/listcomp_counter_' + listcomp_guid internal_list_id = '@internal/listcomp_list_' + listcomp_guid internal_cond_id = '@internal/listcomp_cond_' + listcomp_guid generator = astc.nast.generators[0] iter_value = try_get_value( veval_ast(astc.c(generator.iter), local_field, graph), 'generator', lineprop) list_value = values.ListValue() list_obj = values.ValueRef(list_value) node_generate_list = nodes.NodeGenerate('List', [], lineprop) node_generate_list.set_outputs([list_value]) graph.add_node(node_generate_list) # body target_name = '' if isinstance(generator.target, gast.gast.Name): target_name = generator.target.id else: if config.show_warnings: print('This for is not supported. in L.{}'.format(astc.lineno)) return None counter_value = values.NumberValue(None) counter_value.dtype = np.array(0).dtype counter_value.name = internal_counter_id cond_value = values.BoolValue(None) cond_value.name = internal_cond_id # set values with internal name local_field.get_attribute(internal_list_id).revise(list_obj) values.push_history(listcomp_id) body_graph = Graph() body_graph.root_graph = graph.root_graph body_graph.name = 'Body_' + listcomp_guid node_forgen = nodes.NodeForGenerator(counter_value, iter_value) target_ref = iter_value.get_iterator() if target_ref is None: target_ref = values.ValueRef(values.UnknownValue()) if config.show_warnings: print('unknown iteratable type in L.{}'.format(lineprop)) target_value = target_ref.get_value() node_forgen.set_outputs([target_ref.get_value()]) local_field.get_attribute(target_name).revise(target_ref) body_graph.add_node(node_forgen) elt = veval_ast(astc.c(astc.nast.elt), local_field, body_graph) elt_obj = try_get_ref(elt, 'listcomp', lineprop) finput = functions.FunctionArgInput() finput.inputs.append(elt_obj) append_value = local_field.get_attribute(internal_list_id).get_ref( ).get_field().get_attribute('append').get_ref().get_value() append_value.func.vcall( None, body_graph, local_field.get_attribute(internal_list_id).get_ref(), finput, lineprop) value_inputs = values.get_inputs() value_outputs = values.get_outputs() values.pop_history() inputs = [] outputs = [] # default input for subgraph's input body_graph.add_input_value(counter_value) body_graph.add_input_value(cond_value) body_graph.add_input_value(iter_value) # default output for subgraph's output body_graph.add_output_value(cond_value) body_graph.add_output_value(iter_value) # default output outputs.append(functions.generate_value_with_same_type(iter_value)) # generate pairs value_pairs = {} for v in value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['input_value'] = v.input_value value_pairs[key]['input_body_value'] = v.value for v in value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['output_body_value'] = v.value value_pairs[key]['output_obj'] = v.obj # remove iterator removed_name = str(local_field.id) + '_' + target_value.name del value_pairs[removed_name] for k, v in value_pairs.items(): name = v['name'] field = v['field'] if 'input_body_value' in v: inputs.append(v['input_value']) body_graph.add_input_value(v['input_body_value']) else: temp_value1 = functions.generate_value_with_same_type( v['output_body_value']) temp_value2 = functions.generate_value_with_same_type( v['output_body_value']) inputs.append(temp_value1) body_graph.add_input_value(temp_value2) if 'output_body_value' in v: body_graph.add_output_value(v['output_body_value']) output_value = functions.generate_value_with_same_type( v['output_body_value']) outputs.append(output_value) if 'output_obj' in v: obj = v['output_obj'] obj.revise(output_value) field.get_attribute(name).revise(obj) elif field.get_attribute(name).has_obj(): field.get_attribute(name).get_ref().revise(output_value) else: field.get_attribute(name).revise(values.ValueRef(output_value)) else: temp_value1 = v['input_body_value'] temp_value2 = functions.generate_value_with_same_type( v['input_body_value']) body_graph.add_output_value(temp_value1) outputs.append(temp_value2) node = nodes.NodeListcomp(iter_value, inputs, body_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) return local_field.get_attribute(internal_list_id).get_ref()
def veval_ast_subscript(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. x[1], x[y,z] ''' assert (isinstance(astc.nast, gast.gast.Subscript)) lineprop = utils.LineProperty(astc.lineno, astc.filename) def veval_with_default(nast, default_value): if nast is None: ret = values.NumberValue(default_value) ret.name = '@SliceDefault' return ret obj = veval_ast(astc.c(nast), local_field, graph) return try_get_value(obj, 'subscript', lineprop) def get_slice_indices(slice): if slice.lower is None and slice.upper is None and slice.step is None: return [] indices = [ veval_with_default(slice.lower, 0), veval_with_default(slice.upper, utils.slice_int_max) ] if slice.step is not None: indices.append(veval_with_default(slice.step, 1)) return indices value = veval_ast(astc.c(astc.nast.value), local_field, graph) value_value = try_get_value(value, 'subscript', lineprop) if isinstance(astc.nast.slice, gast.gast.Index): slice_ = veval_ast(astc.c(astc.nast.slice.value), local_field, graph) slice_value = try_get_value(slice_, 'subscript', lineprop) if isinstance(slice_value, values.TupleValue): # ex. x[1,2] if slice_value.has_constant_value(): values_ = [ try_get_value(x, 'subscript', lineprop) for x in slice_value.get_constant_value() ] node = nodes.NodeGetItem(value_value, values_, line=lineprop) else: if config.show_warnings: print('This subscript is not supported. in L.{}'.format( astc.lineno)) node = nodes.NodeInvalid(line=lineprop) else: # ex. x[1] node = nodes.NodeGetItem(value_value, [slice_value]) if isinstance(value_value, values.ListValue) and value_value.vtype != None: ret_value = value_value.vtype() ret_value.dtype = value_value.dtype elif isinstance(value_value, values.TupleValue) and value_value.vtype != None: ret_value = value_value.vtype() ret_value.dtype = value_value.dtype else: ret_value = values.UnknownValue() node.set_outputs([ret_value]) graph.add_node(node) return values.ValueRef(ret_value) elif isinstance(astc.nast.slice, gast.gast.Slice): indices = get_slice_indices(astc.nast.slice) node = nodes.NodeSlice(value_value, indices, [len(indices)]) ret_value = functions.generate_value_with_same_type(value_value) node.set_outputs([ret_value]) graph.add_node(node) return values.ValueRef(ret_value) elif isinstance(astc.nast.slice, gast.gast.ExtSlice): indices = [] slice_specs = [] for dim in astc.nast.slice.dims: if isinstance(dim, gast.gast.Index): indices.append( try_get_value( veval_ast(astc.c(dim.value), local_field, graph), 'subscript', lineprop)) slice_specs.append(1) elif isinstance(dim, gast.gast.Slice): ni = get_slice_indices(dim) indices.extend(ni) slice_specs.append(len(ni)) else: assert False, 'Unknown slice: %s in %s' % (dim, nast.slice) node = nodes.NodeSlice(value_value, indices, slice_specs) ret_value = functions.generate_value_with_same_type(value_value) node.set_outputs([ret_value]) graph.add_node(node) return values.ValueRef(ret_value) return None
def veval_ast_if(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.If)) lineprop = utils.LineProperty(astc.lineno, astc.filename) # if condition test = veval_ast(astc.c(astc.nast.test), local_field, graph) test_value = try_get_value(test, 'if', lineprop) id_str = str(utils.get_guid()) if_id = 'if_' + id_str true_id = 'true_' + id_str false_id = 'false_' + id_str # True values.push_history(true_id) true_graph = Graph() true_graph.root_graph = graph.root_graph true_graph.name = 'True' true_body = veval_ast(astc.c(astc.nast.body), local_field, true_graph) true_value_inputs = values.get_inputs() true_value_outputs = values.get_outputs() values.pop_history() # False values.push_history(false_id) false_graph = Graph() false_graph.root_graph = graph.root_graph false_graph.name = 'False' false_body = veval_ast(astc.c(astc.nast.orelse), local_field, false_graph) false_value_inputs = values.get_inputs() false_value_outputs = values.get_outputs() values.pop_history() # generate pairs value_pairs = {} for v in true_value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['true_input_value'] = v.input_value value_pairs[key]['true_input_body_value'] = v.value value_pairs[key]['true_input_obj'] = v.obj for v in true_value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['true_output_body_value'] = v.value value_pairs[key]['true_output_obj'] = v.obj for v in false_value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['false_input_value'] = v.input_value value_pairs[key]['false_input_body_value'] = v.value value_pairs[key]['false_input_obj'] = v.obj for v in false_value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['false_output_body_value'] = v.value value_pairs[key]['false_output_obj'] = v.obj inputs = [] outputs = [] for k, v in value_pairs.items(): name = v['name'] field = v['field'] input_value = None true_input_body_value = None false_input_body_value = None # search input value if 'true_input_value' in v: input_value = v['true_input_value'] elif 'false_input_value' in v: input_value = v['false_input_value'] if input_value is not None: if 'true_input_body_value' in v: true_input_body_value = v['true_input_body_value'] else: true_input_body_value = functions.generate_value_with_same_type( input_value) if 'false_input_body_value' in v: false_input_body_value = v['false_input_body_value'] else: false_input_body_value = functions.generate_value_with_same_type( input_value) true_output_body_value = None false_output_body_value = None output_value = None # search output value if 'true_output_body_value' in v: true_output_body_value = v['true_output_body_value'] if 'false_output_body_value' in v: false_output_body_value = v['false_output_body_value'] if true_output_body_value is not None or false_output_body_value is not None: if true_output_body_value is None: if true_input_body_value is not None: # e.x. not changed true_output_body_value = true_input_body_value else: # e.x. make a value in false statement true_output_body_value = functions.generate_value_with_same_type( false_output_body_value, is_dummy_value=True) if false_output_body_value is None: if false_input_body_value is not None: # e.x. not changed false_output_body_value = false_input_body_value else: # e.x. make a value in true statement false_output_body_value = functions.generate_value_with_same_type( true_output_body_value, is_dummy_value=True) # check types between true and false true_output_body_value_type = None false_output_body_value_type = None if true_output_body_value is not None and true_output_body_value.is_not_none_or_any_value( ): true_output_body_value_type = true_output_body_value if false_output_body_value is not None and false_output_body_value.is_not_none_or_any_value( ): false_output_body_value_type = false_output_body_value if true_output_body_value_type is not None and false_output_body_value_type is not None and type( true_output_body_value_type) != type( false_output_body_value_type): utils.print_warning( 'Values with differenet type were generated {} between true ande false' .format(k), lineprop) if true_output_body_value_type != None: output_value = functions.generate_value_with_same_type( true_output_body_value_type) elif false_output_body_value_type != None: output_value = functions.generate_value_with_same_type( false_output_body_value_type) elif true_output_body_value is not None: output_value = functions.generate_value_with_same_type( true_output_body_value) elif false_output_body_value is not None: output_value = functions.generate_value_with_same_type( false_output_body_value) if input_value is not None: inputs.append(input_value) true_graph.add_input_value(true_input_body_value) false_graph.add_input_value(false_input_body_value) if output_value is not None: outputs.append(output_value) true_graph.add_output_value(true_output_body_value) false_graph.add_output_value(false_output_body_value) if 'true_output_obj' in v and not 'false_output_obj' in v: obj = v['true_output_obj'] elif not 'true_output_obj' in v and 'false_output_obj' in v: obj = v['false_output_obj'] elif 'true_output_obj' in v and 'false_output_obj' in v: obj = None else: assert (False) if obj is not None: obj.revise(output_value) field.get_attribute(name).revise(obj) elif field.get_attribute(name).has_obj(): field.get_attribute(name).get_ref().revise(output_value) else: field.get_attribute(name).revise(values.ValueRef(output_value)) node = nodes.NodeIf(test_value, inputs, true_graph, false_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) return None
def veval_ast_for(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' for target in iter: ... ''' assert (isinstance(astc.nast, gast.gast.For)) lineprop = utils.LineProperty(astc.lineno, astc.filename) # for target in iter: iter_ = veval_ast(astc.c(astc.nast.iter), local_field, graph) input_iter_value = try_get_value(iter_, 'for', lineprop) body_iter_value = functions.generate_value_with_same_type( input_iter_value, suffix_type=functions.SuffixType.Input) # get target name target_name = '' if isinstance(astc.nast.target, gast.gast.Name): target_name = astc.nast.target.id else: if config.show_warnings: print('This for is not supported. in L.{}'.format(astc.lineno)) return None # unroll? if isinstance(input_iter_value, values.ListValue) and input_iter_value.has_constant_value( ) and input_iter_value.dtype is None: return veval_ast_for_unroll(astc, target_name, input_iter_value, local_field, graph) for_guid = utils.get_guid() for_id = 'for_' + str(for_guid) body_id = 'body_' + str(for_guid) values.push_history(for_id) # body body_graph = Graph() body_graph.root_graph = graph.root_graph body_graph.name = 'Body_' + str(for_guid) # generate a node for input node_input = nodes.NodeInput('input') body_graph.add_node(node_input) body_counter_value = values.NumberValue(None) body_counter_value.dtype = np.array(0).dtype body_counter_value.name = 'for_counter_' + str(for_guid) body_cond_value = values.BoolValue(None) body_cond_value.name = 'for_cond_' + str(for_guid) # create a node to lookup a value from sequence node_forgen = nodes.NodeForGenerator(body_counter_value, body_iter_value) # generate iterator target_ref = input_iter_value.get_iterator() if target_ref is None: target_ref = values.ValueRef(values.UnknownValue()) if config.show_warnings: print('unknown iteratable type in L.{}'.format(astc.lineno)) target_value = target_ref.get_value() node_forgen.set_outputs([target_ref.get_value()]) target_attribute = local_field.get_attribute(target_name) target_attribute.revise(target_ref) body_graph.add_node(node_forgen) # veval body body = veval_ast(astc.c(astc.nast.body), local_field, body_graph) value_inputs = values.get_inputs() value_outputs = values.get_outputs() break_attribute = local_field.get_attribute('#keepgoing') if break_attribute.has_obj(): break_attribute_ref = break_attribute.get_ref() break_attribute_value = break_attribute_ref.get_value() else: break_attribute_value = body_cond_value values.pop_history() inputs = [] outputs = [] node_input_outputs = [] # default input for subgraph's input body_graph.add_input_value(body_counter_value) body_graph.add_input_value(body_cond_value) body_graph.add_input_value(body_iter_value) # default output for subgraph's output body_graph.add_output_value(break_attribute_value) body_graph.add_output_value(body_iter_value) # default output outputs.append(functions.generate_value_with_same_type(input_iter_value)) # generate pairs value_pairs = {} for v in value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['input_value'] = v.input_value value_pairs[key]['input_body_value'] = v.value for v in value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['output_body_value'] = v.value value_pairs[key]['output_obj'] = v.obj for k, v in value_pairs.items(): name = v['name'] field = v['field'] if 'input_body_value' in v: inputs.append(v['input_value']) body_graph.add_input_value(v['input_body_value']) else: temp_value1 = functions.generate_value_with_same_type( v['output_body_value'], is_dummy_value=True, suffix_type=functions.SuffixType.Dummy) temp_value2 = functions.generate_value_with_same_type( v['output_body_value'], suffix_type=functions.SuffixType.Dummy) inputs.append(temp_value1) body_graph.add_input_value(temp_value2) node_input_outputs.append(temp_value2) if 'output_body_value' in v: body_graph.add_output_value(v['output_body_value']) output_value = functions.generate_value_with_same_type( v['output_body_value']) outputs.append(output_value) if 'output_obj' in v: obj = v['output_obj'] obj.revise(output_value) field.get_attribute(name).revise(obj) elif field.get_attribute(name).has_obj(): field.get_attribute(name).get_ref().revise(output_value) else: field.get_attribute(name).revise(values.ValueRef(output_value)) else: temp_value1 = v['input_body_value'] temp_value2 = functions.generate_value_with_same_type( v['input_body_value']) body_graph.add_output_value(temp_value1) outputs.append(temp_value2) node = nodes.NodeFor(input_iter_value, inputs, body_graph, body_cond_value, astc.lineno) node.set_outputs(outputs) node_input.set_outputs(node_input_outputs) graph.add_node(node) return None