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chore: import upstream snapshot with attribution
2026-07-13 12:46:15 +08:00

31 行
969 B
Python

# Natural Language Toolkit: Language Model Unit Tests
#
# Copyright (C) 2001-2026 NLTK Project
# Author: Ilia Kurenkov <ilia.kurenkov@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import unittest
from nltk.lm.preprocessing import padded_everygram_pipeline
class TestPreprocessing(unittest.TestCase):
def test_padded_everygram_pipeline(self):
expected_train = [
[
("<s>",),
("<s>", "a"),
("a",),
("a", "b"),
("b",),
("b", "c"),
("c",),
("c", "</s>"),
("</s>",),
]
]
expected_vocab = ["<s>", "a", "b", "c", "</s>"]
train_data, vocab_data = padded_everygram_pipeline(2, [["a", "b", "c"]])
self.assertEqual([list(sent) for sent in train_data], expected_train)
self.assertEqual(list(vocab_data), expected_vocab)