def test_oracle(self):
oracle = Oracle(self.passage)
state = State(self.passage)
actions_taken = []
while True:
actions = oracle.get_actions(state)
action = next(iter(actions))
state.transition(action)
actions_taken.append("%s\n" % action)
if state.finished:
break
with open('test_files/standard3.oracle_actions.txt') as f:
self.assertSequenceEqual(actions_taken, f.readlines())
def parse(self, passages, mode="test"):
"""
Parse given passages
:param passages: iterable of passages to parse
:param mode: "train", "test" or "dev".
If "train", use oracle to train on given passages.
Otherwise, just parse with classifier.
:return: generator of pairs of (parsed passage, original passage)
"""
train = mode == "train"
dev = mode == "dev"
test = mode == "test"
assert train or dev or test, "Invalid parse mode: %s" % mode
passage_word = "sentence" if Config().sentences else \
"paragraph" if Config().paragraphs else \
"passage"
self.total_actions = 0
self.total_correct = 0
total_duration = 0
total_tokens = 0
num_passages = 0
for passage in passages:
l0 = passage.layer(layer0.LAYER_ID)
num_tokens = len(l0.all)
total_tokens += num_tokens
l1 = passage.layer(layer1.LAYER_ID)
labeled = len(l1.all) > 1
assert not train or labeled, "Cannot train on unannotated passage"
print("%s %-7s" % (passage_word, passage.ID),
end=Config().line_end,
flush=True)
started = time.time()
self.action_count = 0
self.correct_count = 0
self.state = State(passage, callback=self.pos_tag)
self.state_hash_history = set()
self.oracle = Oracle(passage) if train else None
failed = False
try:
self.parse_passage(
train) # This is where the actual parsing takes place
except ParserException as e:
if train:
raise
Config().log("%s %s: %s" % (passage_word, passage.ID, e))
if not test:
print("failed")
failed = True
predicted_passage = passage
if not train or Config().verify:
predicted_passage = self.state.create_passage(
assert_proper=Config().verify)
duration = time.time() - started
total_duration += duration
if train: # We have an oracle to verify by
if not failed and Config().verify:
self.verify_passage(passage, predicted_passage, train)
if self.action_count:
print("%-16s" %
("%d%% (%d/%d)" %
(100 * self.correct_count / self.action_count,
self.correct_count, self.action_count)),
end=Config().line_end)
print("%0.3fs" % duration, end="")
print("%-15s" % ("" if failed else " (%d tokens/s)" %
(num_tokens / duration)),
end="")
print(Config().line_end, end="")
if train:
print(Config().line_end, flush=True)
self.total_correct += self.correct_count
self.total_actions += self.action_count
num_passages += 1
yield predicted_passage, passage
if num_passages > 1:
print("Parsed %d %ss" % (num_passages, passage_word))
if self.oracle and self.total_actions:
print("Overall %d%% correct transitions (%d/%d) on %s" %
(100 * self.total_correct / self.total_actions,
self.total_correct, self.total_actions, mode))
print(
"Total time: %.3fs (average time/%s: %.3fs, average tokens/s: %d)"
% (total_duration, passage_word, total_duration / num_passages,
total_tokens / total_duration),
flush=True)