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from topik.tokenizers.ngrams import _collect_ngrams, \ |
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_collocation_document, ngrams |
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from nose.tools import nottest |
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sample_data = [ |
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("doc1", str(u"Frank the Swank-Tank walked his sassy unicorn, Brony," |
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u" to prancercise class daily. Prancercise was " |
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u"a tremendously popular pastime of sassy " |
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u"unicorns and retirees alike.")), |
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("doc2", str(u"Frank the Swank-Tank was also known as Big Daddy Workout Queen " |
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u"as he loved to cross-dress while prancercising." |
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u"Dressing up as a sassy unicorn to match Brony was a key " |
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u"source of enjoyment for both him and the onlooking retirees.")), |
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("doc3", str(u"Big Daddy Workout Queen knew that the best way to get " |
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u"more people to embrace prancercise was to " |
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u"wear flashy outfits with tassels and bells.")), |
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("doc3", str(u"Prancercise is a form of both art and fitness, " |
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u"originally invented by sassy unicorns. It has " |
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u"recently been popularized by such retired " |
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u"celebrities as Frank The Swank-Tank (aka Big Daddy Workout Queen)"))] |
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@nottest |
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def generator(): |
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for item in sample_data: |
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yield item |
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def test__collect_ngrams(): |
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result_ngrams = _collect_ngrams(sample_data, min_freqs=[2, 2, 2]) |
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assert(result_ngrams[0].pattern == |
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u'(big daddy|daddy workout|frank swank|swank tank|workout queen|sassy unicorn|sassy unicorns)') |
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assert(result_ngrams[1].pattern == u'(big daddy workout|daddy workout queen|frank swank tank)') |
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assert(result_ngrams[2].pattern == u'(big daddy workout queen)') |
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def test__collocation_document(): |
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these_ngrams = _collect_ngrams(sample_data, min_freqs=[2, 2, 2]) |
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assert(_collocation_document(sample_data[0][1],these_ngrams) == [ |
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u'frank_swank', u'tank', u'walked', u'sassy_unicorn', u'brony', |
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u'prancercise', u'class', u'daily', u'prancercise', u'tremendously', |
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u'popular', u'pastime', u'sassy_unicorns', u'retirees', u'alike' |
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]) |
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assert(_collocation_document(sample_data[1][1],these_ngrams) == [ |
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u'frank_swank', u'tank', u'known', u'big_daddy', u'workout_queen', |
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u'loved', u'cross', u'dress', u'prancercising', u'dressing', |
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u'sassy_unicorn', u'match', u'brony', u'key', u'source', u'enjoyment', |
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u'onlooking', u'retirees']) |
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def test_ngrams_list(): |
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freq_bounds = [(2, 100), (2, 100), (2, 100)] |
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tokenized_corpora = ngrams(sample_data, freq_bounds=freq_bounds) |
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assert(len(freq_bounds) == 3) |
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assert(next(tokenized_corpora) == ( |
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'doc1', [ |
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u'frank_swank', u'tank', u'walked', u'sassy_unicorn', u'brony', |
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u'prancercise', u'class', u'daily', u'prancercise', u'tremendously', |
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u'popular', u'pastime', u'sassy_unicorns', u'retirees', u'alike' |
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])) |
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assert(next(tokenized_corpora) == ( |
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'doc2', [ |
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u'frank_swank', u'tank', u'known', u'big_daddy', u'workout_queen', |
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u'loved', u'cross', u'dress', u'prancercising', |
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u'dressing', u'sassy_unicorn', u'match', u'brony', u'key', u'source', |
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u'enjoyment', u'onlooking', u'retirees'])) |
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def test_ngrams_generator(): |
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freq_bounds = [(2, 100), (2, 100), (2, 100)] |
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corpus_gen = generator() |
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tokenized_corpora = ngrams(corpus_gen, freq_bounds=freq_bounds) |
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assert(len(freq_bounds) == 3) |
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assert(next(tokenized_corpora) == ( |
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'doc1', [ |
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u'frank_swank', u'tank', u'walked', u'sassy_unicorn', u'brony', |
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u'prancercise', u'class', u'daily', u'prancercise', u'tremendously', |
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u'popular', u'pastime', u'sassy_unicorns', u'retirees', u'alike' |
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])) |
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assert(next(tokenized_corpora) == ( |
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'doc2', [ |
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u'frank_swank', u'tank', u'known', u'big_daddy', u'workout_queen', |
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u'loved', u'cross', u'dress', u'prancercising', |
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u'dressing', u'sassy_unicorn', u'match', u'brony', u'key', u'source', |
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u'enjoyment', u'onlooking', u'retirees'])) |
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ContinuumIO /
topik
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The coding style of this project requires that you add a docstring to this code element. Below, you find an example for methods:
If you would like to know more about docstrings, we recommend to read PEP-257: Docstring Conventions.