ai-content-maker/.venv/Lib/site-packages/nltk/test/unit/test_senna.py

113 lines
3.5 KiB
Python

"""
Unit tests for Senna
"""
import unittest
from os import environ, path, sep
from nltk.classify import Senna
from nltk.tag import SennaChunkTagger, SennaNERTagger, SennaTagger
# Set Senna executable path for tests if it is not specified as an environment variable
if "SENNA" in environ:
SENNA_EXECUTABLE_PATH = path.normpath(environ["SENNA"]) + sep
else:
SENNA_EXECUTABLE_PATH = "/usr/share/senna-v3.0"
senna_is_installed = path.exists(SENNA_EXECUTABLE_PATH)
@unittest.skipUnless(senna_is_installed, "Requires Senna executable")
class TestSennaPipeline(unittest.TestCase):
"""Unittest for nltk.classify.senna"""
def test_senna_pipeline(self):
"""Senna pipeline interface"""
pipeline = Senna(SENNA_EXECUTABLE_PATH, ["pos", "chk", "ner"])
sent = "Dusseldorf is an international business center".split()
result = [
(token["word"], token["chk"], token["ner"], token["pos"])
for token in pipeline.tag(sent)
]
expected = [
("Dusseldorf", "B-NP", "B-LOC", "NNP"),
("is", "B-VP", "O", "VBZ"),
("an", "B-NP", "O", "DT"),
("international", "I-NP", "O", "JJ"),
("business", "I-NP", "O", "NN"),
("center", "I-NP", "O", "NN"),
]
self.assertEqual(result, expected)
@unittest.skipUnless(senna_is_installed, "Requires Senna executable")
class TestSennaTagger(unittest.TestCase):
"""Unittest for nltk.tag.senna"""
def test_senna_tagger(self):
tagger = SennaTagger(SENNA_EXECUTABLE_PATH)
result = tagger.tag("What is the airspeed of an unladen swallow ?".split())
expected = [
("What", "WP"),
("is", "VBZ"),
("the", "DT"),
("airspeed", "NN"),
("of", "IN"),
("an", "DT"),
("unladen", "NN"),
("swallow", "NN"),
("?", "."),
]
self.assertEqual(result, expected)
def test_senna_chunk_tagger(self):
chktagger = SennaChunkTagger(SENNA_EXECUTABLE_PATH)
result_1 = chktagger.tag("What is the airspeed of an unladen swallow ?".split())
expected_1 = [
("What", "B-NP"),
("is", "B-VP"),
("the", "B-NP"),
("airspeed", "I-NP"),
("of", "B-PP"),
("an", "B-NP"),
("unladen", "I-NP"),
("swallow", "I-NP"),
("?", "O"),
]
result_2 = list(chktagger.bio_to_chunks(result_1, chunk_type="NP"))
expected_2 = [
("What", "0"),
("the airspeed", "2-3"),
("an unladen swallow", "5-6-7"),
]
self.assertEqual(result_1, expected_1)
self.assertEqual(result_2, expected_2)
def test_senna_ner_tagger(self):
nertagger = SennaNERTagger(SENNA_EXECUTABLE_PATH)
result_1 = nertagger.tag("Shakespeare theatre was in London .".split())
expected_1 = [
("Shakespeare", "B-PER"),
("theatre", "O"),
("was", "O"),
("in", "O"),
("London", "B-LOC"),
(".", "O"),
]
result_2 = nertagger.tag("UN headquarters are in NY , USA .".split())
expected_2 = [
("UN", "B-ORG"),
("headquarters", "O"),
("are", "O"),
("in", "O"),
("NY", "B-LOC"),
(",", "O"),
("USA", "B-LOC"),
(".", "O"),
]
self.assertEqual(result_1, expected_1)
self.assertEqual(result_2, expected_2)