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test_multithreading.py
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import unittest
import holmes_extractor as holmes
import os
from threading import Thread
from queue import Queue
from collections import OrderedDict
from packaging import version
NUMBER_OF_THREADS = 10
script_directory = os.path.dirname(os.path.realpath(__file__))
ontology = holmes.Ontology(os.sep.join((script_directory, "test_ontology.owl")))
manager = holmes.Manager(
"en_core_web_trf",
ontology=ontology,
overall_similarity_threshold=0.90,
number_of_workers=2,
)
LATER_SPACY_VERSION = version.parse(manager.nlp.meta["version"]) >= version.parse("3.4.0")
if LATER_SPACY_VERSION:
ontology = holmes.Ontology(os.sep.join((script_directory, "test_ontology.owl")))
manager = holmes.Manager(
"en_core_web_trf",
ontology=ontology,
overall_similarity_threshold=0.85,
number_of_workers=2,
)
manager.parse_and_register_document("The hungry lion chased the angry gnu.", "lion")
manager.parse_and_register_document("The hungry tiger chased the angry gnu.", "tiger")
manager.parse_and_register_document(
"The hungry panther chased the angry gnu.", "panther"
)
manager.parse_and_register_document(
"I saw a donkey. It was chasing the angry gnu.", "donkey"
)
manager.parse_and_register_document("A foal", "foal")
manager.register_search_phrase("A gnu is chased")
manager.register_search_phrase("An angry gnu")
manager.register_search_phrase("A tiger chases")
manager.register_search_phrase("I discussed various things with ENTITYPERSON")
manager.register_search_phrase("A horse")
sttb = manager.get_supervised_topic_training_basis(
classification_ontology=ontology, one_hot=False, verbose=False
)
sttb.parse_and_register_training_document("A puppy", "puppy", "d0")
sttb.parse_and_register_training_document("A pussy", "cat", "d1")
sttb.parse_and_register_training_document("A dog on a lead", "dog", "d2")
sttb.parse_and_register_training_document("Mimi Momo", "Mimi Momo", "d3")
sttb.parse_and_register_training_document("An animal", "animal", "d4")
sttb.parse_and_register_training_document("A computer", "computers", "d5")
sttb.parse_and_register_training_document("A robot", "computers", "d6")
sttb.register_additional_classification_label("parrot")
sttb.register_additional_classification_label("hound")
sttb.prepare()
def get_first_key_in_dict(dictionary: OrderedDict) -> str:
if dictionary is None or len(dictionary) == 0:
return None
return list(dictionary.keys())[0]
for i in range(20):
trainer = sttb.train(
minimum_occurrences=0,
cv_threshold=0,
max_epochs=1000,
learning_rate=0.0001,
convergence_threshold=0,
)
stc = trainer.classifier()
if (
get_first_key_in_dict(stc.parse_and_classify("You are a robot.")) == "computers"
and get_first_key_in_dict(stc.parse_and_classify("You are a cat.")) == "animal"
):
break
if i == 19:
print("Test setup failed.")
exit(1)
class MultithreadingTest(unittest.TestCase):
def _process_threads(self, method, first_argument, expected_output):
queue = Queue()
for i in range(NUMBER_OF_THREADS):
t = Thread(target=method, args=(first_argument, queue))
t.start()
for i in range(NUMBER_OF_THREADS):
output = queue.get(True, 60)
if (
first_argument == "I saw a foal."
and output[0]["sentences_within_document"]
== "I saw a foal" # The Transformer model does this occasionally
):
output[0]["sentences_within_document"] = "I saw a foal."
if first_argument == "A tiger chases a gnu":
if LATER_SPACY_VERSION:
self.assertAlmostEqual(
float(output[1]["overall_similarity_measure"]), 0.89362134, places=3
)
self.assertAlmostEqual(
float(output[1]["word_matches"][0]["similarity_measure"]),
0.7136095,
places=3,
)
else:
self.assertAlmostEqual(
float(output[1]["overall_similarity_measure"]), 0.90286449, places=3
)
self.assertAlmostEqual(
float(output[1]["word_matches"][0]["similarity_measure"]),
0.7359829,
places=3,
)
output[1]["overall_similarity_measure"] = "0"
output[1]["word_matches"][0]["similarity_measure"] = "0"
self.assertEqual(output, expected_output)
def _match_against_documents_within_thread(self, search_phrase, queue):
queue.put(manager.match(search_phrase_text=search_phrase))
def _inner_match_against_documents(self, search_phrase, expected_output):
self._process_threads(
self._match_against_documents_within_thread, search_phrase, expected_output
)
def _match_against_search_phrases_within_thread(self, document_text, queue):
queue.put(manager.match(document_text=document_text))
def _inner_match_against_search_phrases(self, document_text, expected_output):
self._process_threads(
self._match_against_search_phrases_within_thread,
document_text,
expected_output,
)
def _inner_classify(self, documents, expected_output):
self._process_threads(self._classify_within_thread, documents, expected_output)
def _classify_within_thread(self, documents, queue):
output = []
for document in documents:
output.append(get_first_key_in_dict(stc.parse_and_classify(document)))
queue.put(output)
def test_multithreading_matching_against_documents_general(self):
self._inner_match_against_documents(
"A gnu is chased",
[
{
"search_phrase_label": "",
"search_phrase_text": "A gnu is chased",
"document": "donkey",
"index_within_document": 7,
"sentences_within_document": "It was chasing the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 10,
"first_document_token_index": 10,
"last_document_token_index": 10,
"structurally_matched_document_token_index": 10,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 7,
"first_document_token_index": 7,
"last_document_token_index": 7,
"structurally_matched_document_token_index": 7,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chasing",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "A gnu is chased",
"document": "lion",
"index_within_document": 3,
"sentences_within_document": "The hungry lion chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "A gnu is chased",
"document": "panther",
"index_within_document": 3,
"sentences_within_document": "The hungry panther chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "A gnu is chased",
"document": "tiger",
"index_within_document": 3,
"sentences_within_document": "The hungry tiger chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
},
],
)
self._inner_match_against_documents(
"An angry gnu",
[
{
"search_phrase_label": "",
"search_phrase_text": "An angry gnu",
"document": "donkey",
"index_within_document": 10,
"sentences_within_document": "It was chasing the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "angry",
"document_token_index": 9,
"first_document_token_index": 9,
"last_document_token_index": 9,
"structurally_matched_document_token_index": 9,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "angry",
"document_phrase": "angry",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "angry",
"depth": 0,
"explanation": "Matches ANGRY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "gnu",
"document_token_index": 10,
"first_document_token_index": 10,
"last_document_token_index": 10,
"structurally_matched_document_token_index": 10,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "An angry gnu",
"document": "lion",
"index_within_document": 6,
"sentences_within_document": "The hungry lion chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "angry",
"document_token_index": 5,
"first_document_token_index": 5,
"last_document_token_index": 5,
"structurally_matched_document_token_index": 5,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "angry",
"document_phrase": "angry",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "angry",
"depth": 0,
"explanation": "Matches ANGRY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "An angry gnu",
"document": "panther",
"index_within_document": 6,
"sentences_within_document": "The hungry panther chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "angry",
"document_token_index": 5,
"first_document_token_index": 5,
"last_document_token_index": 5,
"structurally_matched_document_token_index": 5,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "angry",
"document_phrase": "angry",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "angry",
"depth": 0,
"explanation": "Matches ANGRY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "An angry gnu",
"document": "tiger",
"index_within_document": 6,
"sentences_within_document": "The hungry tiger chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "angry",
"document_token_index": 5,
"first_document_token_index": 5,
"last_document_token_index": 5,
"structurally_matched_document_token_index": 5,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "angry",
"document_phrase": "angry",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "angry",
"depth": 0,
"explanation": "Matches ANGRY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
],
)
def test_multithreading_matching_against_documents_coreference(self):
self._inner_match_against_documents(
"A donkey chases",
[
{
"search_phrase_label": "",
"search_phrase_text": "A donkey chases",
"document": "donkey",
"index_within_document": 7,
"sentences_within_document": "I saw a donkey. It was chasing the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": True,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "donkey",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 5,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "donkey",
"document_phrase": "a donkey",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": True,
"extracted_word": "donkey",
"depth": 0,
"explanation": "Matches DONKEY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "chase",
"document_token_index": 7,
"first_document_token_index": 7,
"last_document_token_index": 7,
"structurally_matched_document_token_index": 7,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chasing",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
}
],
)
def test_multithreading_matching_against_documents_embedding_matching(self):
expected_output = [
{
"search_phrase_label": "",
"search_phrase_text": "A tiger chases a gnu",
"document": "tiger",
"index_within_document": 3,
"sentences_within_document": "The hungry tiger chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "tiger",
"document_token_index": 2,
"first_document_token_index": 2,
"last_document_token_index": 2,
"structurally_matched_document_token_index": 2,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "tiger",
"document_phrase": "The hungry tiger",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "tiger",
"depth": 0,
"explanation": "Matches TIGER directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
{
"search_phrase_token_index": 4,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
{
"search_phrase_label": "",
"search_phrase_text": "A tiger chases a gnu",
"document": "lion",
"index_within_document": 3,
"sentences_within_document": "The hungry lion chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": "0",
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "tiger",
"document_token_index": 2,
"first_document_token_index": 2,
"last_document_token_index": 2,
"structurally_matched_document_token_index": 2,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "lion",
"document_phrase": "The hungry lion",
"match_type": "embedding",
"negated": False,
"uncertain": False,
"similarity_measure": "0",
"involves_coreference": False,
"extracted_word": "lion",
"depth": 0,
"explanation": "Has a word embedding that is 73% similar to TIGER.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
{
"search_phrase_token_index": 4,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
]
if LATER_SPACY_VERSION:
expected_output[1]["word_matches"][0]["explanation"] = "Has a word embedding that is 71% similar to TIGER."
self._inner_match_against_documents("A tiger chases a gnu", expected_output)
def test_multithreading_matching_against_documents_ontology_matching(self):
self._inner_match_against_documents(
"A horse",
[
{
"search_phrase_label": "",
"search_phrase_text": "A horse",
"document": "foal",
"index_within_document": 1,
"sentences_within_document": "A foal",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "horse",
"document_token_index": 1,
"first_document_token_index": 1,
"last_document_token_index": 1,
"structurally_matched_document_token_index": 1,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "foal",
"document_phrase": "A foal",
"match_type": "ontology",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "foal",
"depth": 1,
"explanation": "Is a child of HORSE in the ontology.",
}
],
}
],
)
def test_multithreading_matching_against_search_phrases_general(self):
self._inner_match_against_search_phrases(
"The hungry lion chased the angry gnu.",
[
{
"search_phrase_label": "A gnu is chased",
"search_phrase_text": "A gnu is chased",
"document": "",
"index_within_document": 3,
"sentences_within_document": "The hungry lion chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",
"depth": 0,
"explanation": "Matches CHASE directly.",
},
],
},
{
"search_phrase_label": "An angry gnu",
"search_phrase_text": "An angry gnu",
"document": "",
"index_within_document": 6,
"sentences_within_document": "The hungry lion chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "angry",
"document_token_index": 5,
"first_document_token_index": 5,
"last_document_token_index": 5,
"structurally_matched_document_token_index": 5,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "angry",
"document_phrase": "angry",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "angry",
"depth": 0,
"explanation": "Matches ANGRY directly.",
},
{
"search_phrase_token_index": 2,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
],
},
],
)
self._inner_match_against_search_phrases(
"The hungry tiger chased the angry gnu.",
[
{
"search_phrase_label": "A gnu is chased",
"search_phrase_text": "A gnu is chased",
"document": "",
"index_within_document": 3,
"sentences_within_document": "The hungry tiger chased the angry gnu.",
"negated": False,
"uncertain": False,
"involves_coreference": False,
"overall_similarity_measure": 1.0,
"word_matches": [
{
"search_phrase_token_index": 1,
"search_phrase_word": "gnu",
"document_token_index": 6,
"first_document_token_index": 6,
"last_document_token_index": 6,
"structurally_matched_document_token_index": 6,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "gnu",
"document_phrase": "the angry gnu",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "gnu",
"depth": 0,
"explanation": "Matches GNU directly.",
},
{
"search_phrase_token_index": 3,
"search_phrase_word": "chase",
"document_token_index": 3,
"first_document_token_index": 3,
"last_document_token_index": 3,
"structurally_matched_document_token_index": 3,
"document_subword_index": None,
"document_subword_containing_token_index": None,
"document_word": "chase",
"document_phrase": "chased",
"match_type": "direct",
"negated": False,
"uncertain": False,
"similarity_measure": 1.0,
"involves_coreference": False,
"extracted_word": "chase",