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test_fuzzywuzzy.py
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test_fuzzywuzzy.py
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# -*- coding: utf8 -*-
from __future__ import unicode_literals
import unittest
import re
import sys
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
from fuzzywuzzy import utils
from fuzzywuzzy.string_processing import StringProcessor
if sys.version_info[0] == 3:
unicode = str
if sys.version_info[:2] == (2, 6):
# Monkeypatch to make tests work on 2.6
def assertLess(first, second, msg=None):
assert first > second
unittest.TestCase.assertLess = assertLess
class StringProcessingTest(unittest.TestCase):
def test_replace_non_letters_non_numbers_with_whitespace(self):
strings = ["new york mets - atlanta braves", "Cães danados",
"New York //// Mets $$$", "Ça va?"]
for string in strings:
proc_string = StringProcessor.replace_non_letters_non_numbers_with_whitespace(string)
regex = re.compile(r"(?ui)[\W]")
for expr in regex.finditer(proc_string):
self.assertEqual(expr.group(), " ")
def test_dont_condense_whitespace(self):
s1 = "new york mets - atlanta braves"
s2 = "new york mets atlanta braves"
p1 = StringProcessor.replace_non_letters_non_numbers_with_whitespace(s1)
p2 = StringProcessor.replace_non_letters_non_numbers_with_whitespace(s2)
self.assertNotEqual(p1, p2)
class UtilsTest(unittest.TestCase):
def setUp(self):
self.s1 = "new york mets"
self.s1a = "new york mets"
self.s2 = "new YORK mets"
self.s3 = "the wonderful new york mets"
self.s4 = "new york mets vs atlanta braves"
self.s5 = "atlanta braves vs new york mets"
self.s6 = "new york mets - atlanta braves"
self.mixed_strings = [
"Lorem Ipsum is simply dummy text of the printing and typesetting industry.",
"C'est la vie",
"Ça va?",
"Cães danados",
"\xacCamarões assados",
"a\xac\u1234\u20ac\U00008000",
"\u00C1"
]
def tearDown(self):
pass
def test_asciidammit(self):
for s in self.mixed_strings:
utils.asciidammit(s)
def test_asciionly(self):
for s in self.mixed_strings:
# ascii only only runs on strings
s = utils.asciidammit(s)
utils.asciionly(s)
def test_fullProcess(self):
for s in self.mixed_strings:
utils.full_process(s)
def test_fullProcessForceAscii(self):
for s in self.mixed_strings:
utils.full_process(s, force_ascii=True)
class RatioTest(unittest.TestCase):
def setUp(self):
self.s1 = "new york mets"
self.s1a = "new york mets"
self.s2 = "new YORK mets"
self.s3 = "the wonderful new york mets"
self.s4 = "new york mets vs atlanta braves"
self.s5 = "atlanta braves vs new york mets"
self.s6 = "new york mets - atlanta braves"
self.s7 = 'new york city mets - atlanta braves'
self.cirque_strings = [
"cirque du soleil - zarkana - las vegas",
"cirque du soleil ",
"cirque du soleil las vegas",
"zarkana las vegas",
"las vegas cirque du soleil at the bellagio",
"zarakana - cirque du soleil - bellagio"
]
self.baseball_strings = [
"new york mets vs chicago cubs",
"chicago cubs vs chicago white sox",
"philladelphia phillies vs atlanta braves",
"braves vs mets",
]
def tearDown(self):
pass
def testEqual(self):
self.assertEqual(fuzz.ratio(self.s1, self.s1a), 100)
def testCaseInsensitive(self):
self.assertNotEqual(fuzz.ratio(self.s1, self.s2), 100)
self.assertEqual(fuzz.ratio(utils.full_process(self.s1), utils.full_process(self.s2)), 100)
def testPartialRatio(self):
self.assertEqual(fuzz.partial_ratio(self.s1, self.s3), 100)
def testTokenSortRatio(self):
self.assertEqual(fuzz.token_sort_ratio(self.s1, self.s1a), 100)
def testPartialTokenSortRatio(self):
self.assertEqual(fuzz.partial_token_sort_ratio(self.s1, self.s1a), 100)
self.assertEqual(fuzz.partial_token_sort_ratio(self.s4, self.s5), 100)
def testTokenSetRatio(self):
self.assertEqual(fuzz.token_set_ratio(self.s4, self.s5), 100)
def testPartialTokenSetRatio(self):
self.assertEqual(fuzz.partial_token_set_ratio(self.s4, self.s7), 100)
def testQuickRatioEqual(self):
self.assertEqual(fuzz.QRatio(self.s1, self.s1a), 100)
def testQuickRatioCaseInsensitive(self):
self.assertEqual(fuzz.QRatio(self.s1, self.s2), 100)
def testQuickRatioNotEqual(self):
self.assertNotEqual(fuzz.QRatio(self.s1, self.s3), 100)
def testWRatioEqual(self):
self.assertEqual(fuzz.WRatio(self.s1, self.s1a), 100)
def testWRatioCaseInsensitive(self):
self.assertEqual(fuzz.WRatio(self.s1, self.s2), 100)
def testWRatioPartialMatch(self):
# a partial match is scaled by .9
self.assertEqual(fuzz.WRatio(self.s1, self.s3), 90)
def testWRatioMisorderedMatch(self):
# misordered full matches are scaled by .95
self.assertEqual(fuzz.WRatio(self.s4, self.s5), 95)
def testWRatioUnicode(self):
self.assertEqual(fuzz.WRatio(unicode(self.s1), unicode(self.s1a)), 100)
def testQRatioUnicode(self):
self.assertEqual(fuzz.WRatio(unicode(self.s1), unicode(self.s1a)), 100)
def testEmptyStringsScore0(self):
self.assertEqual(fuzz.ratio("", ""), 0)
self.assertEqual(fuzz.partial_ratio("", ""), 0)
def testIssueSeven(self):
s1 = "HSINCHUANG"
s2 = "SINJHUAN"
s3 = "LSINJHUANG DISTRIC"
s4 = "SINJHUANG DISTRICT"
self.assertTrue(fuzz.partial_ratio(s1, s2) > 75)
self.assertTrue(fuzz.partial_ratio(s1, s3) > 75)
self.assertTrue(fuzz.partial_ratio(s1, s4) > 75)
def testRatioUnicodeString(self):
s1 = "\u00C1"
s2 = "ABCD"
score = fuzz.ratio(s1, s2)
self.assertEqual(0, score)
def testPartialRatioUnicodeString(self):
s1 = "\u00C1"
s2 = "ABCD"
score = fuzz.partial_ratio(s1, s2)
self.assertEqual(0, score)
def testWRatioUnicodeString(self):
s1 = "\u00C1"
s2 = "ABCD"
score = fuzz.WRatio(s1, s2)
self.assertEqual(0, score)
# Cyrillic.
s1 = "\u043f\u0441\u0438\u0445\u043e\u043b\u043e\u0433"
s2 = "\u043f\u0441\u0438\u0445\u043e\u0442\u0435\u0440\u0430\u043f\u0435\u0432\u0442"
score = fuzz.WRatio(s1, s2, force_ascii=False)
self.assertNotEqual(0, score)
# Chinese.
s1 = "\u6211\u4e86\u89e3\u6570\u5b66"
s2 = "\u6211\u5b66\u6570\u5b66"
score = fuzz.WRatio(s1, s2, force_ascii=False)
self.assertNotEqual(0, score)
def testQRatioUnicodeString(self):
s1 = "\u00C1"
s2 = "ABCD"
score = fuzz.QRatio(s1, s2)
self.assertEqual(0, score)
# Cyrillic.
s1 = "\u043f\u0441\u0438\u0445\u043e\u043b\u043e\u0433"
s2 = "\u043f\u0441\u0438\u0445\u043e\u0442\u0435\u0440\u0430\u043f\u0435\u0432\u0442"
score = fuzz.QRatio(s1, s2, force_ascii=False)
self.assertNotEqual(0, score)
# Chinese.
s1 = "\u6211\u4e86\u89e3\u6570\u5b66"
s2 = "\u6211\u5b66\u6570\u5b66"
score = fuzz.QRatio(s1, s2, force_ascii=False)
self.assertNotEqual(0, score)
def testQratioForceAscii(self):
s1 = "ABCD\u00C1"
s2 = "ABCD"
score = fuzz.QRatio(s1, s2, force_ascii=True)
self.assertEqual(score, 100)
score = fuzz.QRatio(s1, s2, force_ascii=False)
self.assertLess(score, 100)
def testQRatioForceAscii(self):
s1 = "ABCD\u00C1"
s2 = "ABCD"
score = fuzz.WRatio(s1, s2, force_ascii=True)
self.assertEqual(score, 100)
score = fuzz.WRatio(s1, s2, force_ascii=False)
self.assertLess(score, 100)
def testTokenSetForceAscii(self):
s1 = "ABCD\u00C1 HELP\u00C1"
s2 = "ABCD HELP"
score = fuzz._token_set(s1, s2, force_ascii=True)
self.assertEqual(score, 100)
score = fuzz._token_set(s1, s2, force_ascii=False)
self.assertLess(score, 100)
def testTokenSortForceAscii(self):
s1 = "ABCD\u00C1 HELP\u00C1"
s2 = "ABCD HELP"
score = fuzz._token_sort(s1, s2, force_ascii=True)
self.assertEqual(score, 100)
score = fuzz._token_sort(s1, s2, force_ascii=False)
self.assertLess(score, 100)
# test processing methods
def testGetBestChoice1(self):
query = "new york mets at atlanta braves"
best = process.extractOne(query, self.baseball_strings)
self.assertEqual(best[0], "braves vs mets")
def testGetBestChoice2(self):
query = "philadelphia phillies at atlanta braves"
best = process.extractOne(query, self.baseball_strings)
self.assertEqual(best[0], self.baseball_strings[2])
def testGetBestChoice3(self):
query = "atlanta braves at philadelphia phillies"
best = process.extractOne(query, self.baseball_strings)
self.assertEqual(best[0], self.baseball_strings[2])
def testGetBestChoice4(self):
query = "chicago cubs vs new york mets"
best = process.extractOne(query, self.baseball_strings)
self.assertEqual(best[0], self.baseball_strings[0])
class ProcessTest(unittest.TestCase):
def setUp(self):
self.s1 = "new york mets"
self.s1a = "new york mets"
self.s2 = "new YORK mets"
self.s3 = "the wonderful new york mets"
self.s4 = "new york mets vs atlanta braves"
self.s5 = "atlanta braves vs new york mets"
self.s6 = "new york mets - atlanta braves"
self.cirque_strings = [
"cirque du soleil - zarkana - las vegas",
"cirque du soleil ",
"cirque du soleil las vegas",
"zarkana las vegas",
"las vegas cirque du soleil at the bellagio",
"zarakana - cirque du soleil - bellagio"
]
self.baseball_strings = [
"new york mets vs chicago cubs",
"chicago cubs vs chicago white sox",
"philladelphia phillies vs atlanta braves",
"braves vs mets",
]
def testWithProcessor(self):
events = [
["chicago cubs vs new york mets", "CitiField", "2011-05-11", "8pm"],
["new york yankees vs boston red sox", "Fenway Park", "2011-05-11", "8pm"],
["atlanta braves vs pittsburgh pirates", "PNC Park", "2011-05-11", "8pm"],
]
query = "new york mets vs chicago cubs"
processor = lambda event: event[0]
best = process.extractOne(query, events, processor=processor)
self.assertEqual(best[0], events[0])
def testWithScorer(self):
choices = [
"new york mets vs chicago cubs",
"chicago cubs at new york mets",
"atlanta braves vs pittsbugh pirates",
"new york yankees vs boston red sox"
]
choices_dict = {
1: "new york mets vs chicago cubs",
2: "chicago cubs vs chicago white sox",
3: "philladelphia phillies vs atlanta braves",
4: "braves vs mets"
}
# in this hypothetical example we care about ordering, so we use quick ratio
query = "new york mets at chicago cubs"
scorer = fuzz.QRatio
# first, as an example, the normal way would select the "more
# 'complete' match of choices[1]"
best = process.extractOne(query, choices)
self.assertEqual(best[0], choices[1])
# now, use the custom scorer
best = process.extractOne(query, choices, scorer=scorer)
self.assertEqual(best[0], choices[0])
best = process.extractOne(query, choices_dict)
self.assertEqual(best[0], choices_dict[1])
def testWithCutoff(self):
choices = [
"new york mets vs chicago cubs",
"chicago cubs at new york mets",
"atlanta braves vs pittsbugh pirates",
"new york yankees vs boston red sox"
]
query = "los angeles dodgers vs san francisco giants"
# in this situation, this is an event that does not exist in the list
# we don't want to randomly match to something, so we use a reasonable cutoff
best = process.extractOne(query, choices, score_cutoff=50)
self.assertTrue(best is None)
#self.assertIsNone(best) # unittest.TestCase did not have assertIsNone until Python 2.7
# however if we had no cutoff, something would get returned
#best = process.extractOne(query, choices)
#self.assertIsNotNone(best)
def testWithCutoff2(self):
choices = [
"new york mets vs chicago cubs",
"chicago cubs at new york mets",
"atlanta braves vs pittsbugh pirates",
"new york yankees vs boston red sox"
]
query = "new york mets vs chicago cubs"
# Only find 100-score cases
res = process.extractOne(query, choices, score_cutoff=100)
self.assertTrue(res is not None)
best_match, score = res
self.assertTrue(best_match is choices[0])
def testEmptyStrings(self):
choices = [
"",
"new york mets vs chicago cubs",
"new york yankees vs boston red sox",
"",
""
]
query = "new york mets at chicago cubs"
best = process.extractOne(query, choices)
self.assertEqual(best[0], choices[1])
def testNullStrings(self):
choices = [
None,
"new york mets vs chicago cubs",
"new york yankees vs boston red sox",
None,
None
]
query = "new york mets at chicago cubs"
best = process.extractOne(query, choices)
self.assertEqual(best[0], choices[1])
if __name__ == '__main__':
unittest.main() # run all tests