peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/nltk
/test
/unit
/test_senna.py
""" | |
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) | |
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) | |
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) | |