tests for new wordfreq with full coverage

Former-commit-id: df863a5169
This commit is contained in:
Robyn Speer 2015-05-21 20:34:17 -04:00
parent 7c6cf84749
commit 26517c1b86
2 changed files with 113 additions and 60 deletions

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tests/test.py Normal file
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from wordfreq import (
word_frequency, available_languages, dB_to_freq, iter_wordlist,
top_n_list, random_words, random_ascii_words
)
from nose.tools import (
eq_, assert_almost_equal, assert_greater, assert_less, raises
)
def test_freq_examples():
# Stopwords are most common in the correct language
assert_greater(word_frequency('the', 'en'),
word_frequency('de', 'en'))
assert_greater(word_frequency('de', 'es'),
word_frequency('the', 'es'))
def test_languages():
# Make sure the number of available languages doesn't decrease
avail = available_languages()
assert_greater(len(avail), 14)
# Laughter is the universal language
for lang in avail:
if lang != 'zh': # we don't have enough Chinese data yet
assert_greater(word_frequency('lol', lang), 0)
# Make up a weirdly verbose language code and make sure
# we still get it
new_lang_code = '%s-001-x-fake-extension' % lang.upper()
assert_greater(word_frequency('lol', new_lang_code), 0)
def test_defaults():
eq_(word_frequency('esquivalience', 'en'), 0)
eq_(word_frequency('esquivalience', 'en', default=1e-6), 1e-6)
def test_most_common_words():
# If something causes the most common words in well-supported languages to
# change, we should know.
def get_most_common(lang):
"""
Return the single most common word in the language.
"""
return top_n_list(lang, 1)[0]
eq_(get_most_common('ar'), 'في')
eq_(get_most_common('de'), 'der')
eq_(get_most_common('en'), 'the')
eq_(get_most_common('es'), 'de')
eq_(get_most_common('fr'), 'de')
eq_(get_most_common('it'), 'di')
eq_(get_most_common('ja'), '')
eq_(get_most_common('nl'), 'de')
eq_(get_most_common('pt'), 'de')
eq_(get_most_common('ru'), 'в')
eq_(get_most_common('zh'), '')
def test_language_matching():
freq = word_frequency('', 'zh')
eq_(word_frequency('', 'zh-TW'), freq)
eq_(word_frequency('', 'zh-CN'), freq)
eq_(word_frequency('', 'zh-Hant'), freq)
eq_(word_frequency('', 'zh-Hans'), freq)
eq_(word_frequency('', 'yue-HK'), freq)
eq_(word_frequency('', 'cmn'), freq)
def test_dB_conversion():
eq_(dB_to_freq(0), 1.)
assert_almost_equal(dB_to_freq(-10), 0.1)
assert_almost_equal(dB_to_freq(-60), 1e-6)
@raises(ValueError)
def test_failed_dB_conversion():
dB_to_freq(1)
def test_tokenization():
# We preserve apostrophes within words, so "can't" is a single word in the
# data, while the fake word "plan't" can't be found.
assert_greater(word_frequency("can't", 'en'), 0)
eq_(word_frequency("plan't", 'en'), 0)
# We do split at other punctuation, causing the word-combining rule to
# apply.
assert_greater(word_frequency("can.t", 'en'), 0)
plant = word_frequency("plan.t", 'en')
assert_greater(plant, 0)
assert_less(plant, word_frequency('plan', 'en'))
assert_less(plant, word_frequency('t', 'en'))
def test_not_really_random():
# If your xkcd-style password comes out like this, maybe you shouldn't
# use it
eq_(random_words(nwords=4, lang='en', bits_per_word=0),
'the the the the')
# This not only tests random_ascii_words, it makes sure we didn't end
# up with 'eos' as a very common Japanese word
eq_(random_ascii_words(nwords=4, lang='ja', bits_per_word=0),
'http http http http')
@raises(ValueError)
def test_not_enough_ascii():
random_ascii_words(lang='zh')

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from nose.tools import eq_
from wordfreq.build import load_all_data
from wordfreq.query import wordlist_info
from wordfreq.transfer import download_and_extract_raw_data
from wordfreq import config
import os
import tempfile
import shutil
import sqlite3
import sys
PYTHON2 = (sys.version_info.major == 2)
def flatten_list_of_dicts(list_of_dicts):
things = [sorted(d.items()) for d in list_of_dicts]
return sorted(things)
def test_build():
"""
Ensure that the build process builds the same DB that gets distributed.
"""
if not os.path.exists(config.RAW_DATA_DIR):
download_and_extract_raw_data()
tempdir = tempfile.mkdtemp('.wordfreq')
try:
db_file = os.path.join(tempdir, 'test.db')
load_all_data(config.RAW_DATA_DIR, db_file, do_it_anyway=True)
conn = sqlite3.connect(db_file)
# Compare the information we got to the information in the default DB.
new_info = flatten_list_of_dicts(wordlist_info(conn))
old_info = flatten_list_of_dicts(wordlist_info(None))
eq_(len(new_info), len(old_info))
for i in range(len(new_info)):
# Don't test Greek and emoji on Python 2; we can't make them
# consistent with Python 3.
if PYTHON2 and ((u'lang', u'el') in new_info[i]):
continue
if PYTHON2 and ((u'wordlist', u'twitter') in new_info[i]):
continue
eq_(new_info[i], old_info[i])
finally:
shutil.rmtree(tempdir)
def test_python2():
"""
Python 2 got to skip two tests up there, because we built a slightly
wrong wordlist. Now let's test that, in normal operation, it will refuse
to build this wordlist.
"""
if PYTHON2:
try:
load_all_data(config.RAW_DATA_DIR, tempfile.mkstemp())
assert False, "The database should not have been built"
except UnicodeError:
# This is the correct case
pass