File size: 2,990 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
# Tests for tokenize functions that need "compact" dependencies
import unittest
from pythainlp.tokenize import (
pyicu,
sent_tokenize,
subword_tokenize,
word_tokenize,
)
from ..core.test_tokenize import (
SENT_1,
SENT_1_TOKS,
SENT_2,
SENT_2_TOKS,
SENT_3,
SENT_3_TOKS,
SENT_4,
TEXT_1,
)
class SentTokenizeCRFCutTestCase(unittest.TestCase):
def test_sent_tokenize(self):
# Use default engine (crfcut)
self.assertEqual(sent_tokenize(None), [])
self.assertEqual(sent_tokenize(""), [])
self.assertEqual(
sent_tokenize(SENT_1),
SENT_1_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_2),
SENT_2_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_3),
SENT_3_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_1, engine="crfcut"),
SENT_1_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_2, engine="crfcut"),
SENT_2_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_3, engine="crfcut"),
SENT_3_TOKS,
)
self.assertEqual(
sent_tokenize(SENT_4, engine="crfcut"),
[["ผม", "กิน", "ข้าว", " ", "\n", "เธอ", "เล่น", "เกม"]],
)
class SubwordTokenizeHanSoloTestCase(unittest.TestCase):
def test_subword_tokenize(self):
self.assertEqual(subword_tokenize(None, engine="han_solo"), [])
self.assertEqual(
subword_tokenize("แมวกินปลา", engine="han_solo"),
["แมว", "กิน", "ปลา"],
)
self.assertIn(
"ดาว", subword_tokenize("สวัสดีดาวอังคาร", engine="han_solo")
)
self.assertNotIn(
"า", subword_tokenize("สวัสดีดาวอังคาร", engine="han_solo")
)
class WordTokenizeICUTestCase(unittest.TestCase):
def test_icu(self):
self.assertEqual(pyicu.segment(None), [])
self.assertEqual(pyicu.segment(""), [])
self.assertEqual(
word_tokenize("ฉันรักภาษาไทยเพราะฉันเป็นคนไทย", engine="icu"),
["ฉัน", "รัก", "ภาษา", "ไทย", "เพราะ", "ฉัน", "เป็น", "คน", "ไทย"],
)
def test_word_tokenize_icu(self):
self.assertIsNotNone(word_tokenize(TEXT_1, engine="icu"))
class WordTokenizeNlpO3TestCase(unittest.TestCase):
def test_word_tokenize_nlpo3(self):
self.assertIsNotNone(word_tokenize(TEXT_1, engine="nlpo3"))
self.assertEqual(word_tokenize("การ์", engine="nlpo3"), ["การ์"])
|