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)
listcomp_guid = str(utils.get_guid())
listcomp_id = 'listcomp_' + listcomp_guid
body_id = 'listcomp_body_' + listcomp_guid
internal_iter_id = '@internal/iter_' + 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.Object(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(0)
counter_value.name = 'listcomp_counter_' + listcomp_guid
cond_value = values.BoolValue(True)
cond_value.name = 'listcomp_cond_' + listcomp_guid
body_field = values.Field()
body_field.set_module(local_field.module)
body_field.set_parent(local_field)
# set iter with internal name
body_field.get_attribute(internal_iter_id).revise(list_obj)
values.commit(listcomp_id)
body_graph = Graph()
body_graph.name = 'Body_' + listcomp_guid
node_forgen = nodes.NodeForGenerator(counter_value, iter_value)
target_value = values.Value()
target_obj = values.Object(target_value)
node_forgen.set_outputs([target_value])
body_field.get_attribute(target_name).revise(target_obj)
body_graph.add_node(node_forgen)
elt = veval_ast(astc.c(astc.nast.elt), body_field, body_graph)
elt_obj = try_get_obj(elt, 'listcomp', lineprop)
farg = functions.FunctionArg()
farg.name = ''
farg.obj = elt_obj
append_value = list_obj.get_field().get_attribute(
'append').get_obj().get_value()
append_value.func.vcall(local_field.module, body_graph, list_obj, [farg],
lineprop)
values.commit(body_id)
body_input_attributes = get_input_attritubtes(
body_field, listcomp_id, body_id) + get_input_attritubtes(
local_field, listcomp_id, body_id)
body_output_attributes = get_output_attritubtes(
body_field, listcomp_id, body_id) + get_output_attritubtes(
local_field, listcomp_id, body_id)
body_input_attributes = filter_attributes(body_input_attributes)
body_output_attributes = filter_attributes(body_output_attributes)
# get objects whose values are changed
value_changed_objs = get_output_objs(body_field, listcomp_id,
body_id) + get_output_objs(
local_field, listcomp_id, body_id)
changed_values = {}
for obj in value_changed_objs:
in_value = obj.get_value_log(listcomp_id)
out_value = obj.get_value_log(body_id)
changed_values[in_value] = (obj, out_value)
output_attributes_2_values = {}
for attribute in body_output_attributes:
output_attributes_2_values[attribute] = attribute.get_obj().get_value()
# get inputs
values.checkout(listcomp_id)
input_attributes_2_values = {}
for attribute in body_input_attributes:
input_attributes_2_values[attribute] = attribute.get_obj().get_value()
# Exports
values.checkout(listcomp_id)
# generate attribute pairs
name2attributes = {}
for attribute in body_input_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][0] = attribute
else:
name2attributes[key] = [attribute, None]
for attribute in body_output_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][1] = attribute
else:
name2attributes[key] = [None, attribute]
# remove defaule values
name_removing = []
defaule_values = [counter_value, cond_value, iter_value]
for k, v in name2attributes.items():
if v[0] is not None and input_attributes_2_values[
v[0]] in defaule_values:
name_removing.append(k)
if v[1] is not None and output_attributes_2_values[
v[1]] in defaule_values:
name_removing.append(k)
for nr in name_removing:
if nr in name2attributes.keys():
name2attributes.pop(nr)
#
inputs = []
outputs = []
non_volatiles = []
# 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 subgrap'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))
for attributes in name2attributes.values():
name = ''
parent = None
input_value = None
output_value = None
if attributes[0] is not None:
name = attributes[0].name
parent = attributes[0].parent
if attributes[1] is not None:
name = attributes[1].name
parent = attributes[1].parent
if attributes[0] is not None:
input_value = input_attributes_2_values[attributes[0]]
else:
# value with same type
input_value = functions.generate_value_with_same_type(
output_attributes_2_values[attributes[1]])
if attributes[1] is not None:
output_value = output_attributes_2_values[attributes[1]]
else:
if input_attributes_2_values[
attributes[0]] in changed_values.keys():
# change only values
output_value = changed_values[input_attributes_2_values[
attributes[0]]]
else:
# copy value
output_value = input_attributes_2_values[attributes[0]]
output_value_in_node = functions.generate_value_with_same_type(
output_value)
inputs.append(input_value)
outputs.append(output_value_in_node)
body_graph.add_input_value(input_value)
body_graph.add_output_value(output_value)
if attributes[1] is not None and attributes[1].is_non_volatile:
non_volatiles.append(
(attribute[1].initial_obj.get_value(), output_value_in_node))
output_obj_in_node = values.Object(output_value_in_node)
parent.get_attribute(name).revise(output_obj_in_node)
for changed_value_in, changed_obj_value_out in changed_values.items():
if changed_value_in is None:
continue
if changed_value_in in inputs:
continue
inputs.append(changed_value_in)
body_graph.add_input_value(changed_value_in)
body_graph.add_output_value(changed_obj_value_out[1])
value = functions.generate_value_with_same_type(
changed_obj_value_out[1])
changed_obj_value_out[0].revise(value)
outputs.append(value)
node = nodes.NodeListcomp(iter_value, inputs, body_graph, astc.lineno)
node.set_outputs(outputs)
graph.add_node(node)
# add non-volatiles
for tv, v in non_volatiles:
node_nv = nodes.NodeNonVolatileAssign(tv, v)
graph.add_node(node_nv)
if body_field.get_attribute(internal_iter_id).has_obj():
return body_field.get_attribute(internal_iter_id).get_obj()
else:
return list_obj
def veval_ast_if(astc: 'AstContext', local_field: 'values.Field',
graph: 'Graph'):
assert (isinstance(astc.nast, gast.gast.If))
lineprop = utils.LineProperty(astc.lineno)
# 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
values.commit(if_id)
# True condition
values.checkout(if_id)
true_graph = Graph()
true_graph.name = 'True'
body = veval_ast(astc.c(astc.nast.body), local_field, true_graph)
values.commit(true_id)
true_input_attributes = get_input_attritubtes(local_field, if_id, true_id)
true_output_attributes = get_output_attritubtes(local_field, if_id,
true_id)
true_output_objs = get_output_objs(local_field, if_id, true_id)
#TODO(durswd): improve
true_input_attributes = filter_attributes(true_input_attributes)
true_output_attributes = filter_attributes(true_output_attributes)
true_output_attributes_2_values = {}
for attribute in true_output_attributes:
true_output_attributes_2_values[attribute] = attribute.get_obj(
).get_value()
# False condition
values.checkout(if_id)
false_graph = Graph()
false_graph.name = 'False'
orelse = veval_ast(astc.c(astc.nast.orelse), local_field, false_graph)
values.commit(false_id)
false_input_attributes = get_input_attritubtes(local_field, if_id,
false_id)
false_output_attributes = get_output_attritubtes(local_field, if_id,
false_id)
false_output_objs = get_output_objs(local_field, if_id, false_id)
#TODO(durswd): improve
false_input_attributes = filter_attributes(false_input_attributes)
false_output_attributes = filter_attributes(false_output_attributes)
false_output_attributes_2_values = {}
for attribute in false_output_attributes:
false_output_attributes_2_values[attribute] = attribute.get_obj(
).get_value()
# Merge
values.checkout(if_id)
# Input
input_attributes = set(true_input_attributes) | set(false_input_attributes)
# remove unexisting values
input_attributes = [v for v in input_attributes if v.has_obj()]
input_values = [i.get_obj().get_value() for i in input_attributes]
# Output
name2output_attributes = {}
# generate attribute pairs
for attribute in true_output_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2output_attributes.keys():
name2output_attributes[key][0] = attribute
else:
name2output_attributes[key] = [attribute, None]
for attribute in false_output_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2output_attributes.keys():
name2output_attributes[key][1] = attribute
else:
name2output_attributes[key] = [None, attribute]
obj2output_values = {}
for obj in true_output_objs:
if obj.get_value() == None:
continue
key = obj
value = obj.get_value_log(true_id)
if key in obj2output_values.keys():
obj2output_values[key][0] = value
else:
obj2output_values[key] = [value, None]
for obj in false_output_objs:
if obj.get_value() == None:
continue
key = obj
value = obj.get_value_log(false_id)
if key in obj2output_values.keys():
obj2output_values[key][1] = value
else:
obj2output_values[key] = [None, value]
output_attributes = set(true_output_attributes) | set(
false_output_attributes)
output_values = []
non_volatiles = []
for attribute_pair in name2output_attributes.values():
true_attribute, false_attribute = attribute_pair
name = ''
parent = None # type: values.Field
if true_attribute is not None:
name = true_attribute.name
parent = true_attribute.parent
if false_attribute is not None:
name = false_attribute.name
parent = false_attribute.parent
if true_attribute is not None:
true_value = true_output_attributes_2_values[true_attribute]
else:
if parent.has_attribute(name):
true_value = parent.get_attribute(name).get_obj().get_value()
if not true_value in input_values:
input_values.append(true_value)
else:
# TODO : it should be better
# case
# if xxx:
# y = 10
# print(y)
true_value = false_output_attributes_2_values[false_attribute]
if false_attribute is not None:
false_value = false_output_attributes_2_values[false_attribute]
else:
if parent.has_attribute(name):
false_value = parent.get_attribute(name).get_obj().get_value()
if not false_value in input_values:
input_values.append(false_value)
else:
# TODO : it should be better
# case
# if xxx:
# y = 10
# print(y)
false_value = true_output_attributes_2_values[true_attribute]
true_graph.add_output_value(true_value)
false_graph.add_output_value(false_value)
if true_attribute is not None and false_attribute is not None and true_attribute != false_attribute:
# dynamic
value = functions.generate_value_with_same_type(true_value)
output_values.append(value)
parent.get_attribute(name).revise(values.Object(value))
elif true_attribute is not None and false_attribute is not None:
# change both
value = functions.generate_value_with_same_type(true_value)
output_values.append(value)
if parent.get_attribute(name).is_non_volatile:
non_volatiles.append(
(parent.get_attribute(name).initial_obj.get_value(),
value))
parent.get_attribute(name).revise(values.Object(value))
elif true_attribute in input_attributes:
value = functions.generate_value_with_same_type(true_value)
if parent.get_attribute(name).is_non_volatile:
non_volatiles.append(
(parent.get_attribute(name).initial_obj.get_value(),
value))
output_values.append(value)
parent.get_attribute(name).revise(values.Object(value))
else:
value = functions.generate_value_with_same_type(false_value)
if parent.get_attribute(name).is_non_volatile:
non_volatiles.append(
(parent.get_attribute(name).initial_obj.get_value(),
value))
output_values.append(value)
parent.get_attribute(name).revise(values.Object(value))
for input_value in input_values:
true_graph.add_input_value(input_value)
false_graph.add_input_value(input_value)
for obj, values_pairs in obj2output_values.items():
if not obj.get_value() in input_values:
input_values.append(obj.get_value())
value = None
true_value = None
false_value = None
if values_pairs[0] is not None:
value = values_pairs[0]
true_value = values_pairs[0]
if values_pairs[1] is not None:
value = values_pairs[1]
false_value = values_pairs[1]
if true_value is None:
true_value = obj.get_value()
if false_value is None:
false_value = obj.get_value()
value = functions.generate_value_with_same_type(value)
obj.revise(value)
output_values.append(value)
true_graph.add_output_value(true_value)
false_graph.add_output_value(false_value)
node = nodes.NodeIf(test_value, input_values, true_graph, false_graph,
astc.lineno)
node.set_outputs(output_values)
graph.add_node(node)
# add non-volatiles
for tv, v in non_volatiles:
node_nv = nodes.NodeNonVolatileAssign(tv, v)
graph.add_node(node_nv)
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)
# for target in iter:
iter_ = veval_ast(astc.c(astc.nast.iter), local_field, graph)
# 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
for_id = 'for_' + str(utils.get_guid())
body_id = 'body_' + str(utils.get_guid())
values.commit(for_id)
# body
body_graph = Graph()
body_graph.name = 'Body'
counter_value = values.NumberValue(0)
counter_value.name = 'for_counter'
cond_value = values.BoolValue(True)
cond_value.name = 'for_cond'
iter_value = try_get_value(iter_, 'for', lineprop)
# create a node to lookup a value from sequence
node_forgen = nodes.NodeForGenerator(counter_value, iter_value)
# estimate type
# TODO : more types
if isinstance(iter_value, values.RangeValue):
target_value = values.NumberValue(None)
target_value.dtype = np.array(0).dtype
else:
target_value = values.Value()
target_obj = values.Object(target_value)
node_forgen.set_outputs([target_value])
target_attribute = local_field.get_attribute(target_name)
target_attribute.revise(target_obj)
body_graph.add_node(node_forgen)
# veval body
body = veval_ast(astc.c(astc.nast.body), local_field, body_graph)
values.commit(body_id)
# get changed attributes
body_input_attributes = get_input_attritubtes(local_field, for_id, body_id)
body_output_attributes = get_output_attritubtes(local_field, for_id,
body_id)
body_input_attributes = filter_attributes(body_input_attributes)
body_output_attributes = filter_attributes(body_output_attributes)
# get objects whose values are changed
value_changed_objs = get_output_objs(local_field, for_id, body_id)
changed_values = {}
for obj in value_changed_objs:
in_value = obj.get_value_log(for_id)
out_value = obj.get_value_log(body_id)
changed_values[in_value] = out_value
# get outputs
output_attributes_2_values = {}
for attribute in body_output_attributes:
output_attributes_2_values[attribute] = attribute.get_obj().get_value()
# get inputs
values.checkout(for_id)
input_attributes_2_values = {}
for attribute in body_input_attributes:
input_attributes_2_values[attribute] = attribute.get_obj().get_value()
# export
values.checkout(for_id)
# generate attribute pairs
name2attributes = {}
for attribute in body_input_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][0] = attribute
else:
name2attributes[key] = [attribute, None]
for attribute in body_output_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][1] = attribute
else:
name2attributes[key] = [None, attribute]
# remove defaule values
name_removing = []
defaule_values = [counter_value, cond_value, iter_value]
for k, v in name2attributes.items():
if v[0] in defaule_values:
name_removing.append(k)
if v[1] in defaule_values:
name_removing.append(k)
for nr in name_removing:
if nr in name2attributes.keys():
name2attributes.pop(nr)
#
inputs = []
outputs = []
non_volatiles = []
# 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 subgrap'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))
for attributes in name2attributes.values():
name = ''
parent = None
input_value = None
output_value = None
if attributes[0] is not None:
name = attributes[0].name
parent = attributes[0].parent
if attributes[1] is not None:
name = attributes[1].name
parent = attributes[1].parent
if attributes[0] is not None:
input_value = input_attributes_2_values[attributes[0]]
else:
# value with same type
input_value = functions.generate_value_with_same_type(
output_attributes_2_values[attributes[1]])
if attributes[1] is not None:
output_value = output_attributes_2_values[attributes[1]]
else:
if input_attributes_2_values[
attributes[0]] in changed_values.keys():
# change only values
output_value = changed_values[input_attributes_2_values[
attributes[0]]]
else:
# copy value
output_value = input_attributes_2_values[attributes[0]]
output_value_in_node = functions.generate_value_with_same_type(
output_value)
inputs.append(input_value)
outputs.append(output_value_in_node)
body_graph.add_input_value(input_value)
body_graph.add_output_value(output_value)
if attributes[1] is not None and attributes[1].is_non_volatile:
non_volatiles.append(
(attributes[1].initial_obj.get_value(), output_value_in_node))
output_obj_in_node = values.Object(output_value_in_node)
parent.get_attribute(name).revise(output_obj_in_node)
for changed_value_in, changed_value_out in changed_values.items():
if changed_value_in is None:
continue
if changed_value_in in inputs:
continue
inputs.append(changed_value_in)
body_graph.add_input_value(changed_value_in)
body_graph.add_output_value(changed_value_out)
value = functions.generate_value_with_same_type(changed_value_out)
obj.revise(value)
outputs.append(value)
node = nodes.NodeFor(iter_value, inputs, body_graph, astc.lineno)
node.set_outputs(outputs)
graph.add_node(node)
# add non-volatiles
for tv, v in non_volatiles:
node_nv = nodes.NodeNonVolatileAssign(tv, v)
graph.add_node(node_nv)
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))
# for target in iter:
iter_ = veval_ast(astc.c(astc.nast.iter), local_field, graph)
# 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
for_id = 'for_' + str(utils.get_guid())
body_id = 'body_' + str(utils.get_guid())
values.commit(for_id)
# Body
body_graph = Graph()
body_graph.name = 'Body'
counter_value = values.NumberValue(0)
counter_value.name = 'for_counter'
cond_value = values.BoolValue(True)
cond_value.name = 'for_cond'
iter_value = iter_.get_value()
# node to lookup a value from sequence
node_forgen = nodes.NodeForGenerator(counter_value, iter_value)
target_value = values.Value()
node_forgen.set_outputs([target_value])
target_attribute = local_field.get_attribute(target_name)
target_attribute.revise(target_value)
body_graph.add_node(node_forgen)
body = veval_ast(astc.c(astc.nast.body), local_field, body_graph)
values.commit(body_id)
body_input_attributes = get_input_attritubtes(local_field, for_id, body_id)
body_output_attributes = get_output_attritubtes(local_field, for_id, body_id)
input_attributes_2_values = {}
for attribute in body_input_attributes:
input_attributes_2_values[attribute] = attribute.get_value()
output_attributes_2_values = {}
for attribute in body_output_attributes:
output_attributes_2_values[attribute] = attribute.get_value()
# Exports
values.checkout(for_id)
# generate attribute pairs
name2attributes = {}
for attribute in body_input_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][0] = attribute
else:
name2attributes[key] = [attribute, None]
for attribute in body_output_attributes:
key = str(attribute.parent.id) + '_' + attribute.name
if key in name2attributes.keys():
name2attributes[key][1] = attribute
else:
name2attributes[key] = [None, attribute]
# remove defaule values
name_removing = []
defaule_values = [counter_value, cond_value, iter_value]
for k, v in name2attributes.items():
if v[0] in defaule_values:
name_removing.append(k)
if v[1] in defaule_values:
name_removing.append(k)
for nr in name_removing:
if nr in name2attributes.keys():
name2attributes.pop(nr)
#
inputs = []
outputs = []
non_volatiles = []
# 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 subgrap'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))
for attributes in name2attributes.values():
name = ''
parent = None
input_value = None
output_value = None
if attributes[0] is not None:
name = attributes[0].name
parent = attributes[0].parent
if attributes[1] is not None:
name = attributes[1].name
parent = attributes[1].parent
if attributes[0] is not None:
input_value = input_attributes_2_values[attributes[0]]
else:
# value with same type
input_value = functions.generate_value_with_same_type(output_attributes_2_values[attributes[1]])
if attributes[1] is not None:
output_value = output_attributes_2_values[attributes[1]]
else:
# copy value
output_value = input_attributes_2_values[attributes[0]]
output_value_in_node = functions.generate_value_with_same_type(output_value)
inputs.append(input_value)
outputs.append(output_value_in_node)
body_graph.add_input_value(input_value)
body_graph.add_output_value(output_value)
if attributes[1].is_non_volatile:
non_volatiles.append((attribute[1].initial_value,output_value_in_node))
attributes[1].parent.get_attribute(name).revise(output_value_in_node)
node = nodes.NodeFor(iter_value, inputs, body_graph, astc.lineno)
node.set_outputs(outputs)
graph.add_node(node)
# add non-volatiles
for tv, v in non_volatiles:
node_nv = nodes.NodeNonVolatileAssign(tv, v)
graph.add_node(node_nv)
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))
# for target in iter:
iter_ = veval_ast(astc.c(astc.nast.iter), local_field, graph)
# 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
for_id = 'for_' + str(utils.get_guid())
body_id = 'body_' + str(utils.get_guid())
values.commit(for_id)
# Body
body_graph = Graph()
body_graph.name = 'Body'
counter_value = values.NumberValue(0)
counter_value.name = 'for_counter'
cond_value = values.BoolValue(True)
cond_value.name = 'for_cond'
iter_value = iter_.get_value()
node_forgen = nodes.NodeForGenerator(counter_value, iter_value)
target_value = values.Value()
node_forgen.set_outputs([target_value])
target_attribute = local_field.get_attribute(target_name)
target_attribute.revise(target_value)
body_graph.add_node(node_forgen)
body = veval_ast(astc.c(astc.nast.body), local_field, body_graph)
values.commit(body_id)
body_output_attributes = get_input_attritubtes(local_field, for_id,
body_id)
body_intput_attributes = get_output_attritubtes(local_field, for_id,
body_id)
input_attributes_2_values = {}
for attribute in body_intput_attributes:
input_attributes_2_values[attribute] = attribute.get_value()
output_attributes_2_values = {}
for attribute in body_output_attributes:
output_attributes_2_values[attribute] = attribute.get_value()
# Exports
values.checkout(for_id)
input_attributes = set(body_intput_attributes)
inputs = [i.get_value() for i in input_attributes if i.has_value()]
output_attributes = body_output_attributes
output_attributes.remove(target_attribute)
output_attributes = [target_attribute] + output_attributes
outputs = []
non_volatiles = []
# default output
body_graph.add_output_value(cond_value)
body_graph.add_output_value(iter_value)
for attribute in output_attributes:
name = attribute.name
body_graph.add_output_value(output_attributes_2_values[attribute])
value = functions.generate_value_with_same_type(
output_attributes_2_values[attribute])
outputs.append(value)
if attribute.is_non_volatile:
non_volatiles.append((attribute.initial_value, value))
attribute.parent.get_attribute(name).revise(value)
# default input
'''
body_graph.add_input_value(counter_value)
body_graph.add_input_value(cond_value)
body_graph.add_input_value(iter_value)
inputs.remove(counter_value)
inputs.remove(cond_value)
inputs.remove(iter_value)
'''
for input in inputs:
body_graph.add_input_value(input)
node = nodes.NodeFor(iter_value, inputs, body_graph, astc.lineno)
node.set_outputs(outputs)
graph.add_node(node)
# add non-volatiles
for tv, v in non_volatiles:
node_nv = nodes.NodeNonVolatileAssign(tv, v)
graph.add_node(node_nv)
return None
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)
listcomp_id = 'listcomp_' + str(utils.get_guid())
body_id = 'listcomp_body_' + str(utils.get_guid())
values.commit(listcomp_id)
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()
node_generate_list = nodes.NodeGenerate('List', [], lineprop)
graph.add_node(node_generate_list)
node_generate_list.set_outputs([list_value])
# 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(0)
counter_value.name = 'for_counter'
node_forgen = nodes.NodeForGenerator(counter_value, iter_value)
target_value = values.Value()
node_forgen.set_outputs([target_value])
body_field = values.Field()
body_field.set_module(local_field.module)
body_field.set_parent(local_field)
body_field.get_attribute(target_name).revise(target_value)
body_graph = Graph()
body_graph.name = 'Body'
body_graph.add_node(node_forgen)
elt = veval_ast(astc.c(astc.nast.elt), body_field, body_graph)
farg = functions.FunctionArg()
farg.name = ''
farg.value = elt
list_value.append_func.func.vcall(local_field.module, body_graph,
list_value, [farg], lineprop)
values.commit(body_id)
body_output_attributes = get_input_attritubtes(body_field, listcomp_id,
body_id)
body_intput_attributes = get_output_attritubtes(body_field, listcomp_id,
body_id)
# Exports
values.checkout(listcomp_id)
input_attributes = set(body_intput_attributes)
inputs = [i.get_value() for i in input_attributes]
output_attributes = set(body_output_attributes)
outputs = []
for attribute in output_attributes:
value = values.Value()
outputs.append(value)
attribute.revise(value)
node = nodes.NodeListcomp(iter_value, inputs, body_graph, astc.lineno)
node.set_outputs(outputs)
graph.add_node(node)
# compare
return list_value