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@ -16,55 +16,49 @@ def test_freq_examples():
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word_frequency('the', 'es'))
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# To test the reasonableness of the Twitter list, we want to look up a
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# common word representing laughter in each language. The default for
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# languages not listed here is 'haha'.
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LAUGHTER_WORDS = {
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'en': 'lol',
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'hi': 'lol',
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'ru': 'лол',
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'zh': '笑',
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'ja': '笑',
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'ar': 'ﻪﻬﻬﻬﻫ',
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'ca': 'jaja',
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'es': 'jaja',
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'fr': 'ptdr',
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'pt': 'kkkk',
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'he': 'חחח',
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'bg': 'xaxa',
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}
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def test_languages():
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# Make sure the number of available languages doesn't decrease
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avail = available_languages()
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assert_greater(len(avail), 26)
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avail_twitter = available_languages('twitter')
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assert_greater(len(avail_twitter), 15)
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# Look up a word representing laughter in each language, and make sure
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# it has a non-zero frequency in the informal 'twitter' list.
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for lang in avail_twitter:
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if lang == 'zh' or lang == 'ja':
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text = '笑'
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elif lang == 'ko':
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text = 'ᄏᄏᄏ'
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elif lang == 'ar':
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text = 'ههههه'
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elif lang == 'ca' or lang == 'es':
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text = 'jaja'
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elif lang in {'de', 'nb', 'sv', 'da'}:
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text = 'haha'
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elif lang == 'pt':
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text = 'kkkk'
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elif lang == 'he':
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text = 'חחח'
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elif lang == 'ru':
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text = 'лол'
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elif lang == 'bg':
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text = 'хаха'
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elif lang == 'ro':
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text = 'haha'
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elif lang == 'el':
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text = 'χαχα'
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else:
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text = 'lol'
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assert_greater(word_frequency(text, lang, wordlist='twitter'), 0, (text, lang))
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# Look up the digit '2' in the main word list for each language
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for lang in avail:
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assert_greater(word_frequency('2', lang), 0, lang)
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# Make up a weirdly verbose language code and make sure
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# we still get it
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new_lang_code = '%s-001-x-fake-extension' % lang.upper()
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assert_greater(word_frequency(text, new_lang_code, wordlist='twitter'), 0, (text, new_lang_code))
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assert_greater(word_frequency('2', new_lang_code), 0, new_lang_code)
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def test_twitter():
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avail = available_languages('twitter')
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assert_greater(len(avail), 14)
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assert_greater(len(avail), 15)
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for lang in avail:
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assert_greater(word_frequency('rt', lang, 'twitter'),
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word_frequency('rt', lang, 'combined'))
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text = LAUGHTER_WORDS.get(lang, 'haha')
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assert_greater(word_frequency(text, lang, wordlist='twitter'), 0, (text, lang))
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def test_minimums():
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@ -72,6 +66,7 @@ def test_minimums():
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eq_(word_frequency('esquivalience', 'en', minimum=1e-6), 1e-6)
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eq_(word_frequency('the', 'en', minimum=1), 1)
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def test_most_common_words():
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# If something causes the most common words in well-supported languages to
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# change, we should know.
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