122 lines
4.8 KiB
Python
122 lines
4.8 KiB
Python
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# -*- coding: utf-8 -*-
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from __future__ import print_function, unicode_literals
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import unittest
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from contextlib import closing
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from nltk import data
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from nltk.stem.snowball import SnowballStemmer
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from nltk.stem.porter import PorterStemmer
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import os
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class SnowballTest(unittest.TestCase):
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def test_arabic(self):
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"""
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this unit testing for test the snowball arabic light stemmer
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this stemmer deals with prefixes and suffixes
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"""
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ar_stemmer = SnowballStemmer("arabic")
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assert ar_stemmer.stem('الْعَرَبِــــــيَّة') == "عرب"
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assert ar_stemmer.stem("العربية") == "عرب"
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assert ar_stemmer.stem("فقالوا") == "قال"
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assert ar_stemmer.stem("الطالبات") == "طالب"
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assert ar_stemmer.stem("فالطالبات") == "طالب"
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assert ar_stemmer.stem("والطالبات") == "طالب"
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assert ar_stemmer.stem("الطالبون") == "طالب"
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def test_russian(self):
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# Russian words both consisting of Cyrillic
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# and Roman letters can be stemmed.
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stemmer_russian = SnowballStemmer("russian")
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assert stemmer_russian.stem("авантненькая") == "авантненьк"
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assert stemmer_russian.stem("avenantnen'kai^a") == "avenantnen'k"
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def test_german(self):
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stemmer_german = SnowballStemmer("german")
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stemmer_german2 = SnowballStemmer("german", ignore_stopwords=True)
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assert stemmer_german.stem("Schr\xe4nke") == 'schrank'
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assert stemmer_german2.stem("Schr\xe4nke") == 'schrank'
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assert stemmer_german.stem("keinen") == 'kein'
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assert stemmer_german2.stem("keinen") == 'keinen'
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def test_spanish(self):
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stemmer = SnowballStemmer('spanish')
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assert stemmer.stem("Visionado") == 'vision'
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# The word 'algue' was raising an IndexError
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assert stemmer.stem("algue") == 'algu'
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def test_short_strings_bug(self):
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stemmer = SnowballStemmer('english')
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assert stemmer.stem("y's") == 'y'
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class PorterTest(unittest.TestCase):
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def _vocabulary(self):
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with closing(data.find('stemmers/porter_test/porter_vocabulary.txt').open(encoding='utf-8')) as fp:
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return fp.read().splitlines()
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def _test_against_expected_output(self, stemmer_mode, expected_stems):
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stemmer = PorterStemmer(mode=stemmer_mode)
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for word, true_stem in zip(self._vocabulary(), expected_stems):
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our_stem = stemmer.stem(word)
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assert our_stem == true_stem, (
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"%s should stem to %s in %s mode but got %s" % (
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word, true_stem, stemmer_mode, our_stem
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)
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)
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def test_vocabulary_martin_mode(self):
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"""Tests all words from the test vocabulary provided by M Porter
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The sample vocabulary and output were sourced from:
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http://tartarus.org/martin/PorterStemmer/voc.txt
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http://tartarus.org/martin/PorterStemmer/output.txt
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and are linked to from the Porter Stemmer algorithm's homepage
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at
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http://tartarus.org/martin/PorterStemmer/
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"""
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with closing(data.find('stemmers/porter_test/porter_martin_output.txt').open(encoding='utf-8')) as fp:
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self._test_against_expected_output(
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PorterStemmer.MARTIN_EXTENSIONS,
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fp.read().splitlines()
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)
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def test_vocabulary_nltk_mode(self):
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with closing(data.find('stemmers/porter_test/porter_nltk_output.txt').open(encoding='utf-8')) as fp:
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self._test_against_expected_output(
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PorterStemmer.NLTK_EXTENSIONS,
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fp.read().splitlines()
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)
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def test_vocabulary_original_mode(self):
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# The list of stems for this test was generated by taking the
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# Martin-blessed stemmer from
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# http://tartarus.org/martin/PorterStemmer/c.txt
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# and removing all the --DEPARTURE-- sections from it and
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# running it against Martin's test vocabulary.
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with closing(data.find('stemmers/porter_test/porter_original_output.txt').open(encoding='utf-8')) as fp:
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self._test_against_expected_output(
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PorterStemmer.ORIGINAL_ALGORITHM,
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fp.read().splitlines()
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)
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self._test_against_expected_output(
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PorterStemmer.ORIGINAL_ALGORITHM,
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data.find('stemmers/porter_test/porter_original_output.txt')
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.open(encoding='utf-8')
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.read()
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.splitlines()
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)
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def test_oed_bug(self):
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"""Test for bug https://github.com/nltk/nltk/issues/1581
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Ensures that 'oed' can be stemmed without throwing an error.
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"""
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assert PorterStemmer().stem('oed') == 'o'
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