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| 1 | +# Licensed under a 3-clause BSD style license - see LICENSE.rst |
| 2 | +import numpy as np |
| 3 | + |
| 4 | +from ...tests.helper import pytest |
| 5 | +from .. import Time, TimeDelta, OperandTypeError |
| 6 | + |
| 7 | + |
| 8 | +class TestTimeComparisons(): |
| 9 | + """Test Comparisons of Time and TimeDelta classes""" |
| 10 | + |
| 11 | + def setup(self): |
| 12 | + self.t1 = Time(np.arange(49995,50005), format='mjd', scale='utc') |
| 13 | + self.t2 = Time(np.arange(49000,51000,200), format='mjd', scale='utc') |
| 14 | + |
| 15 | + def test_time(self): |
| 16 | + t1_lt_t2 = self.t1 < self.t2 |
| 17 | + assert np.all(t1_lt_t2 == np.array([False, False, False, False, False, |
| 18 | + False,True, True, True, True])) |
| 19 | + t1_ge_t2 = self.t1 >= self.t2 |
| 20 | + assert np.all(t1_ge_t2 != t1_lt_t2) |
| 21 | + |
| 22 | + t1_le_t2 = self.t1 <= self.t2 |
| 23 | + assert np.all(t1_le_t2 == np.array([False, False, False, False, False, |
| 24 | + True,True, True, True, True])) |
| 25 | + t1_gt_t2 = self.t1 > self.t2 |
| 26 | + assert np.all(t1_gt_t2 != t1_le_t2) |
| 27 | + |
| 28 | + t1_eq_t2 = self.t1 == self.t2 |
| 29 | + assert np.all(t1_eq_t2 == np.array([False, False, False, False, False, |
| 30 | + True, False, False, False, False])) |
| 31 | + t1_ne_t2 = self.t1 != self.t2 |
| 32 | + assert np.all(t1_ne_t2 != t1_eq_t2) |
| 33 | + |
| 34 | + t1_0_gt_t2_0 = self.t1[0] > self.t2[0] |
| 35 | + assert t1_0_gt_t2_0 is True |
| 36 | + t1_0_gt_t2 = self.t1[0] > self.t2 |
| 37 | + assert np.all(t1_0_gt_t2 == np.array([True, True, True, True, True, |
| 38 | + False, False, False, False, |
| 39 | + False])) |
| 40 | + t1_gt_t2_0 = self.t1 > self.t2[0] |
| 41 | + assert np.all(t1_gt_t2_0 == np.array([True, True, True, True, True, |
| 42 | + True, True, True, True, True])) |
| 43 | + |
| 44 | + def test_timedelta(self): |
| 45 | + dt = self.t2 - self.t1 |
| 46 | + with pytest.raises(OperandTypeError): |
| 47 | + self.t1 > dt |
| 48 | + dt_gt_td0 = dt > TimeDelta(0., format='sec') |
| 49 | + assert np.all(dt_gt_td0 == np.array([False, False, False, False, False, |
| 50 | + False, True, True, True, True])) |
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