removes cupy regularisers from pyproject

Author: dkazanc

httomolibgpu/recon/rotation.py

@@ -60,10 +60,10 @@ def find_center_vo(
     ind: Optional[int] = None,
     average_radius: int = 0,
     cor_initialisation_value: Optional[float] = None,
-    smin: int = -100,
-    smax: int = 100,
+    smin: int = -50,
+    smax: int = 50,
     srad: float = 6.0,
-    step: float = 0.25,
+    step: float = 0.5,
     ratio: float = 0.5,
     drop: int = 20,
 ) -> np.float32:
@@ -117,7 +117,7 @@ def find_center_vo(
             average_radius = ind
         if ind > 0:
             _sino = cp.mean(
-                data[:, ind - average_radius : ind + average_radius, :], axis=1
+                data[:, ind - average_radius : ind + average_radius + 1, :], axis=1
             )
         else:
             _sino = data[:, ind, :]

pyproject.toml

@@ -44,7 +44,6 @@ dependencies = [
     "pillow",
     "scikit-image",
     "tomobar",
-    "ccpi-regularisation-cupy"
 ]
 
 [project.optional-dependencies]

tests/test_recon/test_rotation.py

@@ -35,7 +35,7 @@ def test_find_center_vo_ones(ensure_clean_memory):
     mat = cp.ones(shape=(103, 450, 230), dtype=cp.float32)
     cor = find_center_vo(mat)
 
-    assert_allclose(cor, 8)
+    assert_allclose(cor, 58)
     mat = None  #: free up GPU memory
 
 
@@ -44,7 +44,7 @@ def test_find_center_vo_random(ensure_clean_memory):
     data_host = np.random.random_sample(size=(900, 1, 1280)).astype(np.float32) * 2.0
     data = cp.asarray(data_host, dtype=np.float32)
     cent = find_center_vo(data)
-    assert_allclose(cent, 550.25)
+    assert_allclose(cent, 680.5)
 
 
 def test_find_center_vo_calculate_chunks():