# -*- coding: utf-8 -*- # SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project # SPDX-FileType: SOURCE # SPDX-License-Identifier: Apache-2.0 import unittest import numpy as np from pythainlp.tools.misspell import misspell def _count_difference(st1: str, st2: str) -> int: # this assumes len(st1) == len(st2) count = 0 for i in range(len(st1)): if st1[i] != st2[i]: count += 1 return count class MisspellTestCase(unittest.TestCase): def setUp(self): self.texts = ["เรารักคุณมากที่สุดในโลก", "เราอยู่ที่มหาวิทยาลัยขอนแก่น"] def test_misspell_naive(self): for text in self.texts: misspelled = misspell(text, ratio=0.1) self.assertEqual(len(text), len(misspelled)) diff = _count_difference(text, misspelled) self.assertGreater(diff, 0, "we have some misspells.") def test_misspell_with_ratio_0_percent(self): for text in self.texts: misspelled = misspell(text, ratio=0.0) self.assertEqual(len(text), len(misspelled)) diff = _count_difference(text, misspelled) self.assertEqual( diff, 0, "we shouldn't have any misspell with ratio=0." ) def test_misspell_with_ratio_50_percent(self): for text in self.texts: misspelled = misspell(text, ratio=0.5) self.assertEqual(len(text), len(misspelled)) diff = _count_difference(text, misspelled) self.assertLessEqual( np.abs(diff - 0.5 * len(text)), 2, f"expect 0.5*len(text)±2 misspells with ratio=0.5. (Δ={diff})", ) def test_misspell_with_ratio_100_percent(self): for text in self.texts: misspelled = misspell(text, ratio=1) self.assertEqual(len(text), len(misspelled)) diff = _count_difference(text, misspelled) self.assertLessEqual( np.abs(diff - len(text)), 2, f"expect len(text)-2 misspells with ratio=1.5. (Δ={diff})", )