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How to use test_zerofill method in autotest

Best Python code snippet using autotest_python

test_snuba.py

Source:test_snuba.py

...152                'tags[sentry:release]': self.group2release1.id,153                'count': 3154            },155        ]156    def test_zerofill(self):157        results = zerofill(158            {}, datetime(159                2019, 1, 2, 0, 0), datetime(160                2019, 1, 9, 23, 59, 59), 86400, 'time')161        results_desc = zerofill(162            {}, datetime(163                2019, 1, 2, 0, 0), datetime(164                2019, 1, 9, 23, 59, 59), 86400, '-time')165        assert results == list(reversed(results_desc))166        # Bucket for the 2, 3, 4, 5, 6, 7, 8, 9167        assert len(results) == 8168        assert results[0]['time'] == 1546387200...

test_masking_operators.py

Source:test_masking_operators.py

...29        # test that the unknown set has been replaced with zeros30        np.testing.assert_array_equal(Mtu[~mask.use_set], np.zeros(5))31        # test that the known set is equal to the input data32        np.testing.assert_array_equal(Mtu[mask.use_set], data[mask.use_set])33    def test_zerofill(self):34        np.random.seed(1)35        data = np.arange(15, dtype=float)36        data[np.random.uniform(size=15) < 0.2] = np.nan37        mask = Mask(~np.isnan(data))38        zf = mask.zero_fill(data)39        # test that the unknown set has been replaced with zeros40        np.testing.assert_array_equal(zf[~mask.use_set], np.zeros(5))41        # test that the known set is equal to the input data42        np.testing.assert_array_equal(zf[mask.use_set], data[mask.use_set])43class TestMaskVector(unittest.TestCase):44    """45    Uses this as a standard test data set:46    np.array([[ 0.,  5., nan],47              [nan, nan, nan],48              [ 2.,  7., 12.],49              [nan,  8., 13.],50              [ 4.,  9., 14.]])51    Masking operator should should return column-wise vector with nans removed52    """53    def test_mask(self):54        data = np.arange(15, dtype=float).reshape((5, 3), order='F')55        data[1] = np.nan56        data[0, -1] = np.nan57        data[3, 0] = np.nan58        mask = Mask(~np.isnan(data))59        u = mask.mask(data)60        q = len(u)61        # test that the length is correct62        np.testing.assert_equal(np.sum(~np.isnan(data)), q)63        # test that the values are correct64        actual = np.array([ 0.,  2.,  4.,  5.,  7.,  8.,  9., 12., 13., 14.])65        np.testing.assert_equal(u, actual)66    def test_unmask(self):67        data = np.arange(15, dtype=float).reshape((5, 3), order='F')68        data[1] = np.nan69        data[0, -1] = np.nan70        data[3, 0] = np.nan71        mask = Mask(~np.isnan(data))72        u = np.array([ 0.,  2.,  4.,  5.,  7.,  8.,  9., 12., 13., 14.])73        Mtu = mask.unmask(u)74        # test that the unknown set has been replaced with zeros75        np.testing.assert_array_equal(Mtu[~mask.use_set], np.zeros(5))76        # test that the known set is equal to the input data77        np.testing.assert_array_equal(Mtu[mask.use_set], data[mask.use_set])78    def test_zerofill(self):79        data = np.arange(15, dtype=float).reshape((5, 3), order='F')80        data[1] = np.nan81        data[0, -1] = np.nan82        data[3, 0] = np.nan83        mask = Mask(~np.isnan(data))84        zf = mask.zero_fill(data)85        # test that the unknown set has been replaced with zeros86        np.testing.assert_array_equal(zf[~mask.use_set], np.zeros(5))87        # test that the known set is equal to the input data...

test_utils.py

Source:test_utils.py

...55        assert not options['options'][0]['checked']56        assert not options['options'][1]['checked']57        assert options['options'][2]['checked']58class TestZeroFillHelper(TestCase):59    def test_zerofill(self):60        start = datetime(2012, 1, 1)61        end = datetime(2012, 1, 7)62        data1 = {63            epoch_milliseconds(datetime(2012, 1, 3)): 1,64            epoch_milliseconds(datetime(2012, 1, 5)): 1,65        }66        data2 = {67            epoch_milliseconds(datetime(2012, 1, 2)): 1,68            epoch_milliseconds(datetime(2012, 1, 5)): 1,69            epoch_milliseconds(datetime(2012, 1, 10)): 1,70        }71        zero_fill(start, end, [data1, data2])72        for day in range(1, 7):73            millis = epoch_milliseconds(datetime(2012, 1, day))...

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