python-numpy-pandas-evaluation/testing.py at master · dev-branch/python-numpy-pandas-evaluation · GitHub

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def test_count_characters(self):
    string = "abafdcggfaabe"
    answer = {"a": 4, "b": 2, "c": 1, "d": 1, "e": 1, "f": 2, "g": 2}
    result = a.count_characters(string)
    self.assertEqual(result, answer)


def test_invert_dictionary(self):
    d = {"a": 4, "b": 2, "c": 1, "d": 1, "e": 1, "f": 2, "g": 2}
    result = {4: {'a'}, 2: {'b', 'f', 'g'}, 1: {'c', 'd', 'e'}}
    self.assertEqual(a.invert_dictionary(d), result)


def test_word_count(self):
    self.assertEqual(a.word_count('data/alice.txt'), (17, 1615, 8449))


def test_matrix_multiplication(self):
    A = [[2, 3, 4], [6, 4, 2], [-1, 2, 0]]
    B = [[8, -3, 1], [-7, 3, 2], [0, 3, 3]]
    answer = [[-5, 15, 20], [20, 0, 20], [-22, 9, 3]]
    self.assertEqual(a.matrix_multiplication(A, B), answer)


def test_array_work(self):
    matrixA = np.array([[-4, -2],
                        [0, -3],
                        [-4, -1],
                        [-1, 1],
                        [-3, 0]])
    answer1 = np.array([[-24, -24, -24],
                        [-12, -12, -12],
                        [-20, -20, -20],
                        [0, 0, 0],
                        [-12, -12, -12]])
    result1 = a.array_work(2, 3, 4, matrixA)
    self.assertTrue(np.all(answer1 == result1))

    answer2 = np.array([[-36, -36],
                        [-18, -18],
                        [-30, -30],
                        [0, 0],
                        [-18, -18]])
    result2 = a.array_work(2, 2, 6, matrixA)
    self.assertTrue(np.all(answer2 == result2))


def test_make_series(self):
    result = a.make_series(7, 4, ['a', 'b', 'c', 'd'])
    self.assertTrue(isinstance(result, pd.Series))
    self.assertEqual(result['a'], 7)
    self.assertEqual(result['d'], 10)

    result = a.make_series(22, 5, ['a', 'b', 'c', 'd', 'hi'])
    self.assertEqual(result['a'], 22)
    self.assertEqual(result['d'], 25)
    self.assertEqual(result['hi'], 26)


def test_data_frame_work(self):
    df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
    colA, colB, colC = ('a', 'b', 'c')
    a.data_frame_work(df, colA, colB, colC)
    self.assertTrue(colC in df.columns.tolist())
    self.assertEqual(df[colC].tolist(), [5, 7, 9])


def test_boolean_indexing(self):
    arr = np.array([[-4, -4, -3],
                    [-1, 16, -4],
                    [-3, 6, 4]])
    result1 = a.boolean_indexing(arr, 0)
    answer1 = np.array([16, 6, 4])
    self.assertTrue(np.all(result1 == answer1))
    result2 = a.boolean_indexing(arr, 10)
    answer2 = np.array([16])
    self.assertTrue(np.all(result2 == answer2))