def _backward_result(self,
result,
alternatives,
build,
individually=False):
if build and build[0]:
m = build[2]
atok = build[1]
if individually:
result = [
m.backward(get_source_region(atok, x)) if x else None
for x in result
]
else:
result = m.backward(get_source_region(
atok, result)) if result else None
if alternatives:
alternatives = [
m.backward(get_source_region(atok, x))
for x in alternatives
]
else:
alternatives = []
return result, alternatives
else:
return None, None
def _backward_result(self, result, alternatives, build):
if build and build[0]:
m = build[2]
atok = build[1]
result = m.backward(get_source_region(atok,
result)) if result else None
#self._get_selection(view_information,extra)
alternatives = [
m.backward(get_source_region(atok, x)) for x in alternatives
]
return result, alternatives
else:
return None, None
def select_region_from_node_up(root,
atok,
node,
target,
attribute,
outside_level,
index=None):
return get_source_region(
select_from_node(root, atok, node, target, attribute, outside_level,
index))
def get_statement(self, origin, atok):
# print("\norigin\n",ast.dump(origin))
self.global_constrained_space = None
candidate_statement = search_upwards(origin, ast.stmt)
big = (ast.If, ast.While, ast.For, ast.FunctionDef, ast.With,
ast.ClassDef, ast.Try, ast.ExceptHandler)
if match_node(candidate_statement, big):
candidate_statement = search_upwards_for_parent(origin, ast.stmt)
candidate_statement = candidate_statement if candidate_statement else search_upwards(
origin, ast.stmt)
if match_node(candidate_statement, big):
region = get_source_region(
atok, get_weak_header(candidate_statement, atok))
if region:
self.global_constrained_space = region
return candidate_statement
def node_from_range_new(root, atok, r, special=False, lenient=False):
# notes like ast.Store result in (0,0) with atok.get_text_range()
# which causes problems if the cursor is right at the beginning of the file
inside = lambda x, y: (y[0] <= x[0] < y[1] and y[0] < x[1] <= y[1] and
not y[0] == y[1] == 0)
if lenient:
inside = lambda x, y: (y[0] <= x[0] <= y[1] and y[0] <= x[1] <= y[1]
and not y[0] == y[1] == 0)
generic_fix(root, atok)
for child in ast.iter_child_nodes(root):
# print(" just to check something out",child,atok.get_text_range(child))
# print(" and the child fields are ",child._fields)
if inside(r, atok.get_text_range(child)):
# print(" success with",child,"special = ",special)
return node_from_range_new(child, atok, r, special, lenient)
if special:
# print("Special:\n",ast.dump(root))
if match_node(root,
(ast.Tuple, ast.List, ast.Set, ast.Dict, ast.DictComp)):
# print("Inside Here After Special")
temporary = get_sub_index(root, None)
l = [
x for x in temporary for y in [get_source_region(atok, x)]
if inside((r[0], r[0]), y) or inside((
r[1], r[1]), y) or inside(y, r)
]
# print("temporary:\n",temporary)
# print("L:\n",l)
if l and l != temporary:
return l
if match_node(root, (ast.FunctionDef, ast.ClassDef)):
converter = atok._line_numbers
sr, sc = converter.offset_to_line(r[0])
er, ec = converter.offset_to_line(r[1])
for decorator in root.decorator_list:
if sr != decorator.first_token.start[0]:
continue
if er != decorator.last_token.start[0]:
if er != decorator.last_token.start[0] + 1 or ec != 0:
continue
return decorator
return root
def case_one(self, v, q):
"""
<adjective> argument <argument_index>
"""
selection = v["selection"]
build = self.general_build if self.general_build else line_partial(
selection[0])
print(build)
if not build:
return None, None
root, atok, m, r = build
selection = m.forward(selection)
# after build we set up some variables
result = None
alternatives = None
origin = nearest_node_from_offset(root, atok, selection[0])
calling_node = search_upwards(origin, ast.Call)
statement_node, callers = search_upwards_log(origin,
ast.stmt,
log_targets=ast.Call)
information = lambda x: info.get_argument_from_call(
x, q["argument_index"] - 1)
candidates = sorted_by_source_region(
atok, find_matching(statement_node, info.identity(information)))
every_caller = find_all_nodes(statement_node, (ast.Call))
################################################################
# if no adjective is given
################################################################
if q["adjective"] == "None":
if calling_node:
result = information(calling_node)
candidates = [
information(x)
for x in tiebreak_on_lca(statement_node, origin, candidates)
if x != calling_node
]
result, alternatives = obtain_result(result, candidates)
################################################################
# adjective is even
################################################################
if q["adjective"] != "None":
additional_parameters = {}
if selection[0] != selection[1]:
small_root = node_from_range(root, atok, selection)
additional_parameters["small_root"] = small_root
print("dumping the small root\n", ast.dump(small_root))
additional_parameters["special"] = [calling_node]
if calling_node:
print(ast.dump(calling_node))
additional_parameters["penalized"] = [calling_node]
result, alternatives = adjective_strategy(
atok=atok,
root=root,
adjective_word=q["adjective"],
level_nodes=every_caller,
information_nodes=candidates,
**additional_parameters)
result = information(result) if result else m.forward(
v["selection"])
alternatives = [information(x)
for x in alternatives] if alternatives else []
# translate those nodes back to offsets and forward them through the modification under
print("\n\nnow finally printing result and alternatives\n\n")
print(result)
print(
ast.dump(result) if isinstance(result, ast.AST
) else " not known node")
print(alternatives)
result = m.backward(get_source_region(atok, result))
alternatives = [
m.backward(get_source_region(atok, x)) for x in alternatives
]
return result, alternatives
def process_line(self,
q,
root,
atok,
origin=None,
select_node=None,
tiebreaker=lambda x: x,
line=None,
transformation=None,
inverse_transformation=None,
priority={},
constrained_space=(),
second_tiebreaker=None,
invert_then_tiebreak=True):
result = None
alternatives = None
additional_parameters = {"priority": priority}
if constrained_space:
additional_parameters["constrained_space"] = constrained_space
information = self.get_information(q)
information_nodes = sorted_by_source_region(
atok, find_matching(root, information))
if origin:
calling_node = search_upwards(origin, ast.Call)
statement_node, callers = search_upwards_log(origin,
ast.stmt,
log_targets=ast.Call)
every_caller = find_all_nodes(root, (ast.Call))
additional = find_all_nodes(root, (ast.Tuple, ast.List, ast.ListComp))
if additional:
additional_parameters["additional_level_nodes"] = additional
additional_parameters["try_alternative"] = True
################################################################
# go to handle the special Casey's
################################################################
if transformation:
temporary = {transformation(x) for x in information_nodes}
information_nodes = sorted_by_source_region(
atok, [x for x in temporary if x])
################################################################
# if no adjective is given
################################################################
if "nth" not in q:
if origin and calling_node:
result = calling_node if calling_node in information_nodes else None
information_nodes = [
x for x in tiebreaker(information_nodes)
if x is not calling_node
]
else:
result = None
information_nodes = [x for x in tiebreaker(information_nodes)]
result, alternatives = obtain_result(result, information_nodes)
################################################################
# adjective is given
################################################################
if "nth" in q:
additional_parameters["small_root"] = select_node
if origin and calling_node:
additional_parameters["penalized"] = [
calling_node
] if calling_node else []
additional_parameters["special"] = [calling_node]
result, alternatives = adjective_strategy(
atok=atok,
root=root,
adjective_word=q["nth"],
level_nodes=every_caller,
information_nodes=information_nodes,
**additional_parameters)
##############################################################
# reverse transformation if any
##############################################################
if transformation:
helpful = [result] if result else []
if alternatives:
helpful.extend(alternatives)
if invert_then_tiebreak:
temporary = make_flat(
[tiebreaker(inverse_transformation(x)) for x in helpful])
else:
temporary = tiebreaker(
make_flat([inverse_transformation(x) for x in helpful]))
result, alternatives = obtain_result(None, temporary)
################################################################
# Extract information
################################################################
if line and result and alternatives:
temporary = [result] + alternatives
temporary = [(i, x) for i, x in enumerate(temporary)]
temporary = sorted(
temporary,
key=lambda x: (atok._line_numbers.offset_to_line(
get_source_region(atok, x[1])[0])[0] != line, x[0]))
temporary = [x[1] for x in temporary]
result, alternatives = obtain_result(None, temporary)
if result and second_tiebreaker:
alternatives = second_tiebreaker(result, alternatives)
if self.global_constrained_space:
inside = lambda x, y: (y[0] <= x[0] < y[1] and y[0] < x[1] <= y[1])
result = result if inside(get_source_region(atok, result),
self.global_constrained_space) else None
alternatives = [
x for x in alternatives if inside(
get_source_region(atok, x), self.global_constrained_space)
]
result, alternatives = obtain_result(result, alternatives)
result = information(result) if result else None
alternatives = [information(x)
for x in alternatives] if alternatives else []
return result, alternatives
