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TEST.py

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    • Forked from Brady James Garvin / sentiment
    5 commits behind, 4 commits ahead of the upstream repository.
    TEST.py 2.97 KiB
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    from unittest import TestCase
import sentiment


class TestPreloading(TestCase):
    def test_preloading(self):
        example = ['3 In its own floundering way , it gets to you .', '3 Audacious-impossible yet compelling .']
        self.assertEquals(sentiment.preloading(example), (
        {',': ['3'], '.': ['3', '3'], 'Auda3cious-impossible': ['3'], 'In': ['3'], 'compelling': ['3'],
         'floundering': ['3'], 'gets': ['3'], 'it': ['3'], 'its': ['3'], 'own': ['3'], 'to': ['3'], 'way': ['3'],
         'yet': ['3'], 'you': ['3']}))

    def test_2(self):
        example = ['0 never will this fail the testing .']
        self.assertEquals(sentiment.preloading(example), (
        {'testing': ['0'], 'this': ['0'], 'never': ['0'], '.': ['0'], 'will': ['0'], 'fail': ['0'], 'the': ['0']}))




    def test_preloading12(self):
        try:
            with open("sentiment.txt") as file:
                loading = file.read()
                raw_file = loading.split('\n')

        except IOError:
            print("File Not Found")
        review = sentiment.preloading(raw_file)
        average = 0
        number = 0
        average, number =sentiment.option1(review, 'arty')
        self.assertEquals(number, 4)

    def test_number_20(self):
        try:
            with open("sentiment.txt") as file:
                loading = file.read()
                raw_file = loading.split('\n')

        except IOError:
            print("File Not Found")

        review = sentiment.preloading(raw_file)

        average = 0
        number = 0
        average, number =sentiment.option1(review, 'scramble')
        self.assertEquals(average, None)

    def test_number_22(self):
        try:
            with open("sentiment.txt") as file:
                loading = file.read()
                raw_file = loading.split('\n')

        except IOError:
            print("File Not Found")

        review = sentiment.preloading(raw_file)
        average = 0
        number = 0
        positive_word="The most positive word is \" None \" with a score of None\nThe most negative word is \" None \" with a score of None"
        filename= 'positive.txt'

        print(positive_word)
        print("here ")

        self.assertEquals((sentiment.file_score(review,filename)),(positive_word))

    def test_number_24(self):
        # examples.txt has a word called scramble that does not exist in the dictionary and should not be in any
        # of the files

        try:
            with open("sentiment.txt") as file:
                loading = file.read()
                raw_file = loading.split('\n')

        except IOError:
            print("File Not Found")

        review = sentiment.preloading(raw_file)
        filename= 'examples.txt'
        positive,negative = sentiment.word_sorting(review,filename)

        positive2 = ['has', 'a', 'very', 'and', 'refreshing']
        negative2 = ['This', 'movie', 'bad', 'plot', 'terrible', 'ending', 'horrible']

        self.assertEquals((positive, negative),(positive2 , negative2))