Setup tests to verify correct update of meancounts and many other att…

…ributes

stingray/tests/test_lightcurve.py

@@ -308,8 +308,8 @@ class TestLightcurve(object):
     @classmethod
     def setup_class(cls):
         cls.times = np.array([1, 2, 3, 4])
-        cls.counts = np.array([2, 2, 2, 2])
-        cls.counts_err = np.array([0.2, 0.2, 0.2, 0.2])
+        cls.counts = np.array([2, 4, 6, 8])
+        cls.counts_err = np.array([0.2, 0.4, 0.6, 0.8])
         cls.bg_counts = np.array([1, 0, 0, 1])
         cls.bg_ratio = np.array([1, 1, 0.5, 1])
         cls.frac_exp = np.array([1, 1, 1, 1])
@@ -632,7 +632,7 @@ def test_subtraction(self):
 
         lc = lc2 - lc1
 
-        expected_counts = np.array([1, 2, 3, 4])
+        expected_counts = np.array([1, 0, -1, -2])
         assert np.allclose(lc.counts, expected_counts)
         assert lc1.mjdref == lc.mjdref
 
@@ -658,7 +658,9 @@ def test_indexing_with_unexpected_type(self):
     def test_indexing(self):
         lc = Lightcurve(self.times, self.counts)
 
-        assert lc[0] == lc[1] == lc[2] == lc[3] == 2
+        assert lc[0] == 2
+        assert lc[1] == 4
+        assert lc[3] == 8
 
     def test_slicing(self):
         lc = Lightcurve(
@@ -669,20 +671,20 @@ def test_slicing(self):
             err=self.counts / 10,
             err_dist="gauss",
         )
-        assert np.allclose(lc[1:3].counts, np.array([2, 2]))
-        assert np.allclose(lc[:2].counts, np.array([2, 2]))
+        assert np.allclose(lc[1:3].counts, np.array([4, 6]))
+        assert np.allclose(lc[:2].counts, np.array([2, 4]))
         assert np.allclose(lc[:2].gti, [[0.5, 2.5]])
-        assert np.allclose(lc[2:].counts, np.array([2, 2]))
+        assert np.allclose(lc[2:].counts, np.array([6, 8]))
         assert np.allclose(lc[2:].gti, [[2.5, 4.5]])
-        assert np.allclose(lc[:].counts, np.array([2, 2, 2, 2]))
+        assert np.allclose(lc[:].counts, np.array([2, 4, 6, 8]))
         assert np.allclose(lc[::2].gti, [[0.5, 1.5], [2.5, 3.5]])
         assert np.allclose(lc[:].gti, lc.gti)
         assert lc[:].mjdref == lc.mjdref
         assert lc[::2].n == 2
-        assert np.allclose(lc[1:3].counts_err, np.array([2, 2]) / 10)
-        assert np.allclose(lc[:2].counts_err, np.array([2, 2]) / 10)
-        assert np.allclose(lc[2:].counts_err, np.array([2, 2]) / 10)
-        assert np.allclose(lc[:].counts_err, np.array([2, 2, 2, 2]) / 10)
+        assert np.allclose(lc[1:3].counts_err, np.array([0.4, 0.6]))
+        assert np.allclose(lc[:2].counts_err, np.array([0.2, 0.4]))
+        assert np.allclose(lc[2:].counts_err, np.array([0.6, 0.8]))
+        assert np.allclose(lc[:].counts_err, np.array([0.2, 0.4, 0.6, 0.8]))
         assert lc[:].err_dist == lc.err_dist
 
     def test_index(self):
@@ -751,7 +753,8 @@ def test_join_disjoint_time_arrays(self):
         lc = lc1.join(lc2)
 
         assert len(lc.counts) == len(lc.time) == 8
-        assert np.allclose(lc.counts, 2)
+        assert np.allclose(lc.counts[4:], 2)
+        assert np.allclose(lc.counts[:4], self.counts)
         assert lc.mjdref == lc1.mjdref
 
     def test_join_overlapping_time_arrays(self):
@@ -765,7 +768,7 @@ def test_join_overlapping_time_arrays(self):
             lc = lc1.join(lc2)
 
         assert len(lc.counts) == len(lc.time) == 6
-        assert np.allclose(lc.counts, np.array([2, 2, 3, 3, 4, 4]))
+        assert np.allclose(lc.counts, np.array([2, 4, 5, 6, 4, 4]))
 
     def test_join_different_err_dist_disjoint_times(self):
         _times = [5, 6, 7, 8]
@@ -808,23 +811,27 @@ def test_truncate_by_index(self):
 
         lc1 = lc.truncate(start=1)
         assert np.allclose(lc1.time, np.array([2, 3, 4]))
-        assert np.allclose(lc1.counts, np.array([2, 2, 2]))
+        assert np.allclose(lc1.counts, np.array([4, 6, 8]))
+        assert np.allclose(lc1.countrate, np.array([4, 6, 8]))
         assert np.allclose(lc1.bg_counts, np.array([0, 0, 1]))
         assert np.allclose(lc1.bg_ratio, np.array([1, 0.5, 1]))
         assert np.allclose(lc1.frac_exp, np.array([1, 1, 1]))
         np.testing.assert_almost_equal(lc1.gti[0][0], 1.5)
         assert lc1.mjdref == lc.mjdref
         assert lc1.tstart == 1.5
         assert lc1.tseg == 3
+        assert lc1.n == 3
 
         lc2 = lc.truncate(stop=2)
         assert np.allclose(lc2.time, np.array([1, 2]))
-        assert np.allclose(lc2.counts, np.array([2, 2]))
+        assert np.allclose(lc2.counts, np.array([2, 4]))
+        assert np.allclose(lc2.countrate, np.array([2, 4]))
         assert np.allclose(lc2.bg_counts, np.array([1, 0]))
         assert np.allclose(lc2.bg_ratio, np.array([1, 1]))
         assert np.allclose(lc2.frac_exp, np.array([1, 1]))
         np.testing.assert_almost_equal(lc2.gti[-1][-1], 2.5)
         assert lc2.mjdref == lc.mjdref
+        assert lc2.n == 2
 
         assert lc2.tstart == lc.tstart
         assert lc2.tseg == 2
@@ -841,23 +848,35 @@ def test_truncate_fails_with_incorrect_method(self):
             lc1 = lc.truncate(start=1, method="wrong")
 
     def test_truncate_by_time(self):
-        lc = Lightcurve(self.times, self.counts, gti=self.gti)
+        lc = Lightcurve(self.times, self.counts, err=self.counts_err, gti=self.gti)
+        # make sure they are initialized
+        lc.meancounts, lc.meanrate, lc.n
 
         lc1 = lc.truncate(start=1, method="time")
         assert np.allclose(lc1.time, np.array([1, 2, 3, 4]))
-        assert np.allclose(lc1.counts, np.array([2, 2, 2, 2]))
+        assert np.allclose(lc1.counts, np.array([2, 4, 6, 8]))
+        assert np.allclose(lc1.counts_err, np.array([0.2, 0.4, 0.6, 0.8]))
+        assert np.allclose(lc1.countrate, np.array([2, 4, 6, 8]))
         np.testing.assert_almost_equal(lc1.gti[0][0], 0.5)
         assert lc1.mjdref == lc.mjdref
         assert lc1.tstart == 0.5
         assert lc1.tseg == 4.0
+        assert lc1.meancounts == 5
+        assert lc1.meanrate == 5
+        assert lc1.n == 4
 
         lc2 = lc.truncate(stop=3, method="time")
         assert np.allclose(lc2.time, np.array([1, 2]))
-        assert np.allclose(lc2.counts, np.array([2, 2]))
+        assert np.allclose(lc2.counts, np.array([2, 4]))
+        assert np.allclose(lc2.counts_err, np.array([0.2, 0.4]))
+        assert np.allclose(lc2.countrate, np.array([2, 4]))
         np.testing.assert_almost_equal(lc2.gti[-1][-1], 2.5)
         assert lc2.mjdref == lc.mjdref
         assert lc2.tstart == 0.5
         assert lc2.tseg == 2
+        assert lc2.meancounts == 3
+        assert lc2.meanrate == 3
+        assert lc2.n == 2
 
     def test_split_with_two_segments(self):
         test_time = np.array([1, 2, 3, 6, 7, 8])