Exemplo n.º 1
0
    def test_first_feature_data_retained(self):
        d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
        d2 = pd.Series(['ACGAAA', 'ACCA'], index=['f1', 'f3'])

        obs = _merge_feature_data([d1, d2])
        exp = pd.Series(['ACGT', 'ACCT', 'ACCA'], index=['f1', 'f2', 'f3'])
        pdt.assert_series_equal(obs, exp)

        # swapping input order changes f1 data
        obs = _merge_feature_data([d2, d1])
        exp = pd.Series(['ACGAAA', 'ACCT', 'ACCA'], index=['f1', 'f2', 'f3'])
        pdt.assert_series_equal(obs, exp)
Exemplo n.º 2
0
    def test_first_feature_data_retained(self):
        d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
        d2 = pd.Series(['ACGAAA', 'ACCA'], index=['f1', 'f3'])

        obs = _merge_feature_data([d1, d2])
        exp = pd.Series(['ACGT', 'ACCT', 'ACCA'], index=['f1', 'f2', 'f3'])
        pdt.assert_series_equal(obs, exp)

        # swapping input order changes f1 data
        obs = _merge_feature_data([d2, d1])
        exp = pd.Series(['ACGAAA', 'ACCT', 'ACCA'], index=['f1', 'f2', 'f3'])
        pdt.assert_series_equal(obs, exp)
Exemplo n.º 3
0
    def test_multiple_overlapping_feature_ids_order_maintained(self):
        d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
        d2 = pd.Series(['ACGAAA', 'ACCA'], index=['f1', 'f3'])
        d3 = pd.Series(['AGGA', 'ATAT'], index=['f3', 'f4'])

        obs = _merge_feature_data([d1, d2, d3])
        exp = pd.Series(['ACGT', 'ACCT', 'ACCA', 'ATAT'],
                        index=['f1', 'f2', 'f3', 'f4'])
        pdt.assert_series_equal(obs, exp)

        # swapping input order changes f1 and f3
        obs = _merge_feature_data([d3, d2, d1])
        exp = pd.Series(['ACGAAA', 'ACCT', 'AGGA', 'ATAT'],
                        index=['f1', 'f2', 'f3', 'f4'])
        pdt.assert_series_equal(obs, exp)
Exemplo n.º 4
0
    def test_multiple_overlapping_feature_ids_order_maintained(self):
        d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
        d2 = pd.Series(['ACGAAA', 'ACCA'], index=['f1', 'f3'])
        d3 = pd.Series(['AGGA', 'ATAT'], index=['f3', 'f4'])

        obs = _merge_feature_data([d1, d2, d3])
        exp = pd.Series(['ACGT', 'ACCT', 'ACCA', 'ATAT'],
                        index=['f1', 'f2', 'f3', 'f4'])
        pdt.assert_series_equal(obs, exp)

        # swapping input order changes f1 and f3
        obs = _merge_feature_data([d3, d2, d1])
        exp = pd.Series(['ACGAAA', 'ACCT', 'AGGA', 'ATAT'],
                        index=['f1', 'f2', 'f3', 'f4'])
        pdt.assert_series_equal(obs, exp)
Exemplo n.º 5
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 def test_valid_non_overlapping_feature_ids(self):
     d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
     d2 = pd.Series(['ACGT', 'ACCA'], index=['f3', 'f4'])
     obs = _merge_feature_data([d1, d2])
     exp = pd.Series(['ACGT', 'ACCT', 'ACGT', 'ACCA'],
                     index=['f1', 'f2', 'f3', 'f4'])
     pdt.assert_series_equal(obs, exp)
Exemplo n.º 6
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 def test_valid_non_overlapping_feature_ids(self):
     d1 = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
     d2 = pd.Series(['ACGT', 'ACCA'], index=['f3', 'f4'])
     obs = _merge_feature_data([d1, d2])
     exp = pd.Series(['ACGT', 'ACCT', 'ACGT', 'ACCA'],
                     index=['f1', 'f2', 'f3', 'f4'])
     pdt.assert_series_equal(obs, exp)
Exemplo n.º 7
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 def test_merge_single(self):
     d = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
     obs = _merge_feature_data([d])
     pdt.assert_series_equal(obs, d)
Exemplo n.º 8
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 def test_merge_single(self):
     d = pd.Series(['ACGT', 'ACCT'], index=['f1', 'f2'])
     obs = _merge_feature_data([d])
     pdt.assert_series_equal(obs, d)