Beautifying code

master
Luka 5 years ago
parent 6b2337e14d
commit 6153bb0f3a

@ -45,103 +45,51 @@ class Tree(object):
('xpos' not in query_tree or query_tree['xpos'] == self.xpos.get_value) and \
('deprel' not in query_tree or query_tree['deprel'] == self.deprel.get_value)
def generate_children_queries(self, l_all_query_indices):
def generate_children_queries(self, all_query_indices):
subtree_outcomes = []
# list of pairs (index of query in group, group of query)
queries = []
# list of pairs (index of query in group, group of query, is permanent)
child_queries_metadata = []
for child_index, child in enumerate(self.l_children):
new_queries = []
# add continuation queries to children
for (result_part_index, result_index, is_permanent), subtree_outcome in zip(queries, subtree_outcomes):
for (result_part_index, result_index, is_permanent), subtree_outcome in zip(child_queries_metadata, subtree_outcomes):
if subtree_outcome:
if len(l_all_query_indices[result_index][0]) > result_part_index + 1:
if len(all_query_indices[result_index][0]) > result_part_index + 1:
new_queries.append((result_part_index + 1, result_index, is_permanent))
# else:
# completed_subtrees.append((child, result_index))
queries = new_queries
child_queries_metadata = new_queries
# add new queries to children
for result_index, (group, is_permanent) in enumerate(l_all_query_indices):
for result_index, (group, is_permanent) in enumerate(all_query_indices):
# check if node has enough children for query to be possible
if len(self.l_children) - len(group) >= child_index:
queries.append((0, result_index, is_permanent))
child_queries_metadata.append((0, result_index, is_permanent))
l_children_query_trees = []
for result_part_index, result_index, _ in queries:
l_children_query_trees.append(l_all_query_indices[result_index][0][result_part_index])
child_queries = []
for result_part_index, result_index, _ in child_queries_metadata:
child_queries.append(all_query_indices[result_index][0][result_part_index])
subtree_outcomes = yield child, l_children_query_trees, queries
subtree_outcomes = yield child, child_queries, child_queries_metadata
yield None, None, None
def add_subtrees(self, old_subtree, new_subtree):
old_subtree.extend(new_subtree)
def group_results_old(self, subtree_outcomes, queries, l_all_query_indices, completed_subtrees, query_creation_dict, child_index, partial_subtrees):
for outcome, (result_part_index, result_index, is_permanent) in zip(subtree_outcomes, queries):
if outcome:
if result_part_index == len(l_all_query_indices[result_index][0]) - 1:
new_results = self.create_subtrees(query_creation_dict, result_index, result_part_index, child_index, outcome)
if is_permanent:
self.add_subtrees(completed_subtrees, new_results)
else:
self.add_subtrees(partial_subtrees, new_results)
else:
# save results for later usage
if result_index in query_creation_dict:
if result_part_index in query_creation_dict[result_index]:
query_creation_dict[result_index][result_part_index][child_index] = outcome
else:
query_creation_dict[result_index][result_part_index] = {child_index: outcome}
else:
query_creation_dict[result_index] = {result_part_index: {child_index: outcome}}
else:
if not is_permanent:
partial_subtrees.append(None)
# def get_results(self, partial_results_dict, result_index, outcome, outcome_stage):
# # save results for later usage
# if result_index in partial_results_dict:
# # if result_part_index in partial_results_dict[result_index]:
# # # previous_results, previous_stage = partial_results_dict[result_index][result_part_index]
# # partial_results_dict[result_index][stage] = self.add_results_part(partial_results_dict[result_index][result_part_index], outcome)
# # else:
# # partial_results_dict[result_index][result_part_index] = outcome
# for stage in range(outcome_stage - 1, 0, -1):
# # if previous stage exists extend that data
# if stage - 1 in partial_results_dict[result_index]:
# partial_results_dict[result_index][stage] = self.merge_results(partial_results_dict[result_index][stage - 1], outcome)
#
# # extend one word layer with output
# partial_results_dict[result_index][0].extend(outcome)
# else:
# partial_results_dict[result_index] = {0: outcome}
#
# if outcome_stage - 1 in partial_results_dict[result_index]:
# return partial_results_dict[result_index].pop(outcome_stage - 1)
# return []
def get_results(self, partial_results_dict, result_index, stage, outcome, outcome_stage):
def get_results(self, partial_results_dict, result_index, result_part, outcome, last_result_part):
# save results for later usage
# if result index already in and element 0 exists (otherwise error)
if result_index in partial_results_dict and 0 in partial_results_dict[result_index]:
# if result_part_index in partial_results_dict[result_index]:
# # previous_results, previous_stage = partial_results_dict[result_index][result_part_index]
# partial_results_dict[result_index][stage] = self.add_results_part(partial_results_dict[result_index][result_part_index], outcome)
# else:
# partial_results_dict[result_index][result_part_index] = outcome
# if previous stage exists extend that data
if stage - 1 in partial_results_dict[result_index]:
if stage in partial_results_dict[result_index]:
partial_results_dict[result_index][stage].extend(self.merge_results(partial_results_dict[result_index][stage - 1], outcome))
if result_part - 1 in partial_results_dict[result_index]:
if result_part in partial_results_dict[result_index]:
partial_results_dict[result_index][result_part].extend(self.merge_results(partial_results_dict[result_index][result_part - 1], outcome))
else:
partial_results_dict[result_index][stage] = self.merge_results(partial_results_dict[result_index][stage - 1], outcome)
partial_results_dict[result_index][result_part] = self.merge_results(partial_results_dict[result_index][result_part - 1], outcome)
# extend one word layer with output
else:
@ -149,26 +97,26 @@ class Tree(object):
else:
partial_results_dict[result_index] = {0: outcome}
if outcome_stage - 1 in partial_results_dict[result_index]:
return partial_results_dict[result_index].pop(outcome_stage - 1)
if last_result_part - 1 in partial_results_dict[result_index]:
return partial_results_dict[result_index].pop(last_result_part - 1)
return []
# def add_results_part(self, previous_results_part, new_results):
# combined_results = self.merge_results(previous_results_part, new_results)
#
# return self.create_tuple_from_output(new_results, combined_results=combined_results)
# for new_result in new_results:
# combined_results.append((new_result, 0))
# return combined_results
def group_results(self, subtree_outcomes, queries, l_all_query_indices, completed_subtrees, partial_results_dict, child_index, partial_subtrees):
for outcome, (stage, result_index, is_permanent) in zip(subtree_outcomes, queries):
def group_results(self, subtree_outcomes, child_queries_metadata, all_query_indices, completed_subtrees, partial_results_dict, partial_subtrees):
for outcome, (result_part, result_index, is_permanent) in zip(subtree_outcomes, child_queries_metadata):
if outcome:
new_results = self.get_results(partial_results_dict, result_index, stage, outcome, len(l_all_query_indices[result_index][0]))
new_results = self.get_results(partial_results_dict, result_index, result_part, outcome, len(all_query_indices[result_index][0]))
if new_results:
if is_permanent:
# if result_index in completed_subtrees:
# self.add_subtrees(completed_subtrees[result_index], new_results)
# else:
# completed_subtrees[result_index] = new_results
self.add_subtrees(completed_subtrees, new_results)
else:
# if result_index in completed_subtrees:
# self.add_subtrees(partial_subtrees[result_index], new_results)
# else:
# partial_subtrees[result_index] = new_results
self.add_subtrees(partial_subtrees, new_results)
else:
if not is_permanent:
@ -207,149 +155,33 @@ class Tree(object):
partial_subtrees[i] = [[self.create_output_string()]]
elif 'l_children' not in temporary_query_tree and 'r_children' not in temporary_query_tree:
partial_subtrees[i] = None
# if self.fits_static_requirements(temporary_query_tree):
# if temporary_query_tree['l_children'] and self.l_children:
# l_children_permanent_query_trees.append(temporary_query_tree['l_children'])
# if temporary_query_tree['r_children'] and self.r_children:
# r_children_permanent_query_trees.append(temporary_query_tree['r_children'])
# tree_outcomes = []
completed_subtrees = []
# list of pairs (index of query in group, group of query)
queries = []
subtree_outcomes = []
query_creation_dict = {}
partial_results_dict = {}
children_queries_generator = self.generate_children_queries(l_all_query_indices)
# # children_queries_generator.send([])
# a = next(children_queries_generator)
# a1 = children_queries_generator.send(list([True] * len(a)))
# # b = next(children_queries_generator)
# b1 = children_queries_generator.send(list([True] * len(a1)))
# # c = next(children_queries_generator)
# c1 = children_queries_generator.send(list([True] * len(b1)))
# # d = next(children_queries_generator)
# d1 = children_queries_generator.send(list([True] * len(c1)))
child_index = 0
child, child_query, child_group_mapper = next(children_queries_generator)
child, child_queries, child_queries_metadata = next(children_queries_generator)
while child:
subtree_outcomes, completed_subtrees = child.get_subtrees(permanent_query_trees, child_query)
# obtain children results
subtree_outcomes, completed_subtrees = child.get_subtrees(permanent_query_trees, child_queries)
self.group_results(subtree_outcomes, child_group_mapper, l_all_query_indices, completed_subtrees, query_creation_dict, child_index, partial_subtrees)
# TODO
self.group_results(subtree_outcomes, child_queries_metadata, l_all_query_indices, completed_subtrees, partial_results_dict, partial_subtrees)
# TODO: Right children functionality
child, child_query, child_group_mapper = children_queries_generator.send(subtree_outcomes)
child_index += 1
print('test')
# for child_index, child in enumerate(self.l_children):
# # add continuation queries to children
# for (result_part_index, query_indices_index, is_permanent), subtree_outcome in zip(queries, subtree_outcomes):
# if subtree_outcome:
# if len(l_all_query_indices[query_indices_index]) > result_part_index + 1:
# queries.append((result_part_index + 1, query_indices_index, is_permanent))
# # else:
# # completed_subtrees.append((child, query_indices_index))
#
# # add new queries to children
# for query_indices_index, (query_indices, is_permanent) in enumerate(l_all_query_indices):
# # check if node has enough children for query to be possible
# if len(self.l_children) - len(query_indices) >= child_index:
# queries.append((0, query_indices_index, is_permanent))
#
#
# l_children_query_trees = []
# for result_part_index, query_indices_index, _ in queries:
# l_children_query_trees.append(l_all_query_indices[query_indices_index][0][result_part_index])
# subtree_outcomes, completed_subtrees = child.get_subtrees(permanent_query_trees, l_children_query_trees)
#
#
#
# # TODO: Right children functionality
#
#
#
# for outcome, (result_part_index, query_indices_index, is_permanent) in zip(subtree_outcomes, queries):
# if outcome:
# if result_part_index == len(l_all_query_indices[query_indices_index]) - 1:
# if is_permanent:
# completed_subtrees.extend(self.create_output(temp_results, query_indices_index, result_part_index, child_index))
# else:
# partial_subtrees.append(self.create_output(temp_results, query_indices_index, result_part_index, child_index))
# else:
# # save results for later usage
# if child_index in temp_results:
# if query_indices_index in temp_results[child_index]:
# temp_results[child_index][query_indices_index][result_part_index] = outcome
# else:
# temp_results[child_index][query_indices_index] = {result_part_index: outcome}
# else:
# temp_results[child_index] = {query_indices_index: {result_part_index: outcome}}
# else:
# if not is_permanent:
# partial_subtrees.append(None)
return partial_subtrees, completed_subtrees
@staticmethod
def merge_results(old_results, new_results):
# previous_results, previous_stage = partial_results_dict[result_index][result_part_index]
merged_results = []
# old_results, old_stage = old_results_tuple
for old_result in old_results:
for new_result in new_results:
merged_results.append(old_result + new_result)
# if not old_results:
# return new_results
return merged_results
def create_subtrees(self, query_creation_dict, result_index, result_part_index, child_index, outcome):
new_valid_subtrees = []
# stores all result_parts that have specific child_index together
result_connections = {}
for i in range(result_part_index):
for j in range(child_index):
# if child indices exist in result_index and result_part_index plus index of part is higher or equal to index of child (otherwise it is not in query_creation_dict
if result_index in query_creation_dict and i in query_creation_dict[result_index] and j in query_creation_dict[result_index][i]:
# if result_index in query_creation_dict and i in query_creation_dict[result_index] and j in query_creation_dict[result_index][i] and i >= j:
if i in result_connections:
result_connections[i].append(j)
else:
result_connections[i] = [j]
# positioned_candidates[j] = (query_creation_dict[i][result_index][j])
# result = []
return self.create_subtrees_from_result_connections(0, 0, result_part_index, query_creation_dict, result_connections, result_index, [], outcome)
# new_valid_subtrees.extend(outcome[])
# outcome.append(self.create_output_string())
def create_subtrees_from_result_connections(self, child_index_i, result_part_index_i, result_part_index_final, query_creation_dict, result_connections,
result_index, res_array, outcome):
if result_part_index_i == result_part_index_final:
# self.merge_results(res_array, outcome)
return self.merge_results(res_array, outcome)
# res_array.append(query_creation_dict[result_index][result_part_index_i][child_index_i])
results = []
for child_index in result_connections[result_part_index_i]:
if not (result_index in query_creation_dict and result_part_index_i in query_creation_dict[
result_index] and child_index_i in query_creation_dict[result_index][result_part_index_i]):
print('HERE!')
return []
pass_array = self.merge_results(res_array,
query_creation_dict[result_index][result_part_index_i][child_index])
# if child_index >= result_part_index_i:
results.extend(self.create_subtrees_from_result_connections(child_index, result_part_index_i + 1, result_part_index_final, query_creation_dict,
result_connections, result_index, res_array, outcome))
# print('aaa')
return results
def create_output_string(self):
return self.form.get_value()
return self.form.get_value()

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