chore: simplify testing logic

Author: cako

pytests/test_dtcwt.py

@@ -20,67 +20,75 @@ def sequential_array(shape):
 @pytest.mark.parametrize("par", [(par1), (par2)])
 def test_dtcwt1D_input1D(par):
     """Test for DTCWT with 1D input"""
-    if int(np_version[0]) < 2:
-        t = sequential_array((par["ny"],))
+    if int(np_version[0]) >= 2:
+        return
 
-        for level in range(1, 10):
-            Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
-            x = Dtcwt @ t
-            y = Dtcwt.H @ x
+    t = sequential_array((par["ny"],))
 
-            np.testing.assert_allclose(t, y)
+    for level in range(1, 10):
+        Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
+        x = Dtcwt @ t
+        y = Dtcwt.H @ x
+
+        np.testing.assert_allclose(t, y)
 
 
 @pytest.mark.parametrize("par", [(par1), (par2)])
 def test_dtcwt1D_input2D(par):
     """Test for DTCWT with 2D input (forward-inverse pair)"""
-    if int(np_version[0]) < 2:
-        t = sequential_array(
-            (
-                par["ny"],
-                par["ny"],
-            )
+    if int(np_version[0]) >= 2:
+        return
+
+    t = sequential_array(
+        (
+            par["ny"],
+            par["ny"],
         )
+    )
 
-        for level in range(1, 10):
-            Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
-            x = Dtcwt @ t
-            y = Dtcwt.H @ x
+    for level in range(1, 10):
+        Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
+        x = Dtcwt @ t
+        y = Dtcwt.H @ x
 
-            np.testing.assert_allclose(t, y)
+        np.testing.assert_allclose(t, y)
 
 
 @pytest.mark.parametrize("par", [(par1), (par2)])
 def test_dtcwt1D_input3D(par):
     """Test for DTCWT with 3D input (forward-inverse pair)"""
-    if int(np_version[0]) < 2:
-        t = sequential_array((par["ny"], par["ny"], par["ny"]))
+    if int(np_version[0]) >= 2:
+        return
+
+    t = sequential_array((par["ny"], par["ny"], par["ny"]))
 
-        for level in range(1, 10):
-            Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
-            x = Dtcwt @ t
-            y = Dtcwt.H @ x
+    for level in range(1, 10):
+        Dtcwt = DTCWT(dims=t.shape, level=level, dtype=par["dtype"])
+        x = Dtcwt @ t
+        y = Dtcwt.H @ x
 
-            np.testing.assert_allclose(t, y)
+        np.testing.assert_allclose(t, y)
 
 
 @pytest.mark.parametrize("par", [(par1), (par2)])
 def test_dtcwt1D_birot(par):
     """Test for DTCWT birot (forward-inverse pair)"""
-    if int(np_version[0]) < 2:
-        birots = ["antonini", "legall", "near_sym_a", "near_sym_b"]
-
-        t = sequential_array(
-            (
-                par["ny"],
-                par["ny"],
-            )
+    if int(np_version[0]) >= 2:
+        return
+
+    birots = ["antonini", "legall", "near_sym_a", "near_sym_b"]
+
+    t = sequential_array(
+        (
+            par["ny"],
+            par["ny"],
         )
+    )
 
-        for _b in birots:
-            print(f"birot {_b}")
-            Dtcwt = DTCWT(dims=t.shape, biort=_b, dtype=par["dtype"])
-            x = Dtcwt @ t
-            y = Dtcwt.H @ x
+    for _b in birots:
+        print(f"birot {_b}")
+        Dtcwt = DTCWT(dims=t.shape, biort=_b, dtype=par["dtype"])
+        x = Dtcwt @ t
+        y = Dtcwt.H @ x
 
-            np.testing.assert_allclose(t, y)
+        np.testing.assert_allclose(t, y)