def case_two(self, view_information, query_description, extra={}):
################################################################
# <adjective> <big_roi>
###############################################################
build, selection, origin, definition_node = self.preliminary(
view_information, query_description, extra)
targets, exclusions, information = self.decode(query_description,
build)
root, atok, m, r = build
temporary_information = lambda x: information(x) if match_node(
x, targets, exclusions) and generic_fix(x, atok) else None
additional_parameters = {}
if selection[0] != selection[1]:
additional_parameters["small_root"] = origin
additional_parameters["penalized"] = [origin]
additional_parameters["only_information"] = True
# just looking on the shape of this code you know there's a bug in here somewhere:)
result, alternatives = adjective_strategy(
atok=atok,
root=definition_node,
adjective_word=query_description["nth"],
level_nodes=find_all_nodes(
definition_node, (ast.If, ast.While, ast.For, ast.Try,
ast.With, ast.FunctionDef, ast.ClassDef)),
information_nodes=find_matching(definition_node,
temporary_information),
**additional_parameters)
print("result, alternatives", result, alternatives, "\n")
information = getattr(information, "secondary", information)
result = information(result) if result else None
alternatives = [information(x)
for x in alternatives] if alternatives else []
return self._backward_result(result, alternatives, build)
def case_four(self, view_information, query_description, extra={}):
################################################################
# [smart] <vertical_abstract_only_direction> [<ndir>] <block> [<adjective>] <big_roi> [<big_roi_sub_index>]
###############################################################
build, selection, origin, definition_node = self.preliminary(
view_information, query_description, extra)
targets, exclusions, information = self.decode(query_description,
build)
temporary_information = lambda x: match_node(x, ast.FunctionDef)
root, atok, m, r = build
direction = query_description["vertical_direction"]
ndir = query_description["ndir"]
row = view_information["rowcol"](
m.backward(selection)[0]
)[0] + 1 if definition_node is root else definition_node.first_token.start[
0]
bonus = 1 if definition_node.first_token.startpos > selection[1] else 0
t = decode_abstract_vertical(root, atok, targets, row, ndir + bonus,
direction, True, temporary_information)
if "nth" not in query_description:
information = getattr(information, "secondary", information)
selector = lambda x: match_node(x, targets, exclusions
) and generic_fix(x, build[1])
candidates = tiebreak_on_lca(root, definition_node,
find_all_nodes(t, selector=selector))
candidates = [information(x) for x in candidates if information(x)]
result, alternatives = obtain_result(None, candidates)
return self._backward_result(result, alternatives, build)
else:
additional_parameters = {}
result, alternatives = adjective_strategy(
atok=atok,
root=t,
adjective_word=query_description["nth"],
level_nodes=find_all_nodes(
t, (ast.If, ast.While, ast.For, ast.Try, ast.With,
ast.FunctionDef)),
information_nodes=find_matching(
t, lambda x: information(x)
if match_node(x, targets, exclusions) else None),
**additional_parameters)
information = getattr(information, "secondary", information)
result = information(result) if result else None
alternatives = [information(x)
for x in alternatives] if alternatives else []
return self._backward_result(result, alternatives, build)
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