Remove outdated tests

Author: hombit

light-curve/tests/light_curve_ext/test_dmdt.py

@@ -282,12 +282,8 @@ def test_dmdt_points_dtype(t_dtype, m_dtype):
     t = np.linspace(0, 1, 11, dtype=t_dtype)
     m = np.asarray(t, dtype=m_dtype)
     dmdt = DmDt.from_borders(min_lgdt=0, max_lgdt=1, max_abs_dm=1, lgdt_size=2, dm_size=2, norm=[])
-    if t_dtype is m_dtype:
-        context = nullcontext()
-    else:
-        context = pytest.raises(TypeError)
-    with context:
-        dmdt.points(t, m)
+    values = dmdt.points(t, m)
+    assert values.dtype == np.result_type(t, m)
 
 
 @pytest.mark.parametrize("t_dtype,m_dtype,sigma_dtype", product(*[[np.float32, np.float64]] * 3))
@@ -296,12 +292,8 @@ def test_dmdt_gausses_dtype(t_dtype, m_dtype, sigma_dtype):
     m = np.asarray(t, dtype=m_dtype)
     sigma = np.asarray(t, dtype=sigma_dtype)
     dmdt = DmDt.from_borders(min_lgdt=0, max_lgdt=1, max_abs_dm=1, lgdt_size=2, dm_size=2, norm=[])
-    if t_dtype is m_dtype is sigma_dtype:
-        context = nullcontext()
-    else:
-        context = pytest.raises(TypeError)
-    with context:
-        dmdt.gausses(t, m, sigma)
+    values = dmdt.gausses(t, m, sigma)
+    assert values.dtype == np.result_type(t, m, sigma)
 
 
 @pytest.mark.parametrize("t1_dtype,m1_dtype,t2_dtype,m2_dtype", product(*[[np.float32, np.float64]] * 4))

light-curve/tests/light_curve_ext/test_feature.py

@@ -358,20 +358,20 @@ def test_raises_for_wrong_inputs():
     fe = lc.Amplitude()
 
     # First argument
-    with pytest.raises(TypeError, match="'t' has type 'list'"):
-        fe([1.0, 2.0, 3.0], [1.0, 2.0, 3.0])
+    with pytest.raises(TypeError, match="'t' has type 'int'"):
+        fe(5, [1.0, 2.0, 3.0])
     with pytest.raises(TypeError, match="'t' is a 2-d array"):
         fe(np.array([[1.0, 2.0, 3.0]]), np.array([1.0, 2.0, 3.0]))
-    with pytest.raises(TypeError, match="'t' has dtype int64"):
-        fe(np.array([1, 2, 3], dtype=np.int64), np.array([[1.0, 2.0, 3.0]]))
+    with pytest.raises(TypeError, match="'t' has dtype <U1"):
+        fe(np.array(["a", "b", "c"]), np.array([1.0, 2.0, 3.0]))
 
     # Second and third arguments
     t = np.arange(10, dtype=np.float64)
     with pytest.raises(ValueError, match="Mismatched lengths:"):
         fe(t, np.arange(11, dtype=np.float64))
     with pytest.raises(TypeError, match="'m' must be a numpy array"):
-        fe(t, list(t))
+        fe(t, set(t))
     with pytest.raises(TypeError, match="'sigma' is a 0-d array"):
         fe(t, t, np.array(1.0))
     with pytest.raises(TypeError, match="Mismatched dtypes:"):
-        fe(t, t.astype(np.float32))
+        fe(t, t.astype(str) + "x")