Prototype-compatibility

pyclesperanto/_operators.py

@@ -135,7 +135,7 @@ def __add__(x1, x2):
     else:
         from ._tier1 import add_images_weighted
 
-        return add_images_weighted(x1, x2, factor0=1, factor1=1)
+        return add_images_weighted(x1, x2, factor1=1, factor2=1)
 
 
 def __iadd__(x1, x2):
@@ -150,7 +150,7 @@ def __iadd__(x1, x2):
     else:
         from ._tier1 import add_images_weighted
 
-        add_images_weighted(temp, x2, output_image=x1, factor0=1, factor1=1)
+        add_images_weighted(temp, x2, output_image=x1, factor1=1, factor2=1)
     return x1
 
 
@@ -163,7 +163,7 @@ def __sub__(x1, x2):
     else:
         from ._tier1 import add_images_weighted
 
-        return add_images_weighted(x1, x2, factor0=1, factor1=-1)
+        return add_images_weighted(x1, x2, factor1=1, factor2=-1)
 
 
 def __div__(x1, x2):

tests/test_add_images_weighted.py

@@ -36,7 +36,7 @@ def test_add_images_weighted_named_parameters():
     input2 = np.asarray([4, 5, 6])
 
     reference = np.asarray([9, 12, 15])
-    output = cle.add_images_weighted(input1, input2, None, factor0=1, factor1=2)
+    output = cle.add_images_weighted(input1, input2, None, factor1=1, factor2=2)
     result = cle.pull(output)
 
     print(result)
@@ -49,7 +49,7 @@ def test_add_images_weighted_wrong_parameter_order():
     input2 = np.asarray([4, 5, 6])
 
     reference = np.asarray([9, 12, 15])
-    output = cle.add_images_weighted(input1, input2, factor0=1, factor1=2)
+    output = cle.add_images_weighted(input1, input2, factor1=1, factor2=2)
     result = cle.pull(output)
 
     print(result)
@@ -62,7 +62,7 @@ def test_add_images_weighted_parameters_wrong_order_and_missing():
     input2 = np.asarray([4, 5, 6])
 
     reference = np.asarray([9, 12, 15])
-    output = cle.add_images_weighted(input1, input2, factor1=2, factor0=1)
+    output = cle.add_images_weighted(input1, input2, factor2=2, factor1=1)
     result = cle.pull(output)
 
     print(result)

tests/test_erode_labels.py

@@ -61,7 +61,7 @@ def test_erode_labels_2d_1():
 
     for r in range(5):
         print("r", r)
-        gpu_reference = cle.minimum(gpu_input, radius_x=r, radius_y=r)
+        gpu_reference = cle.minimum_filter(gpu_input, radius_x=r, radius_y=r)
         gpu_output = cle.erode_labels(gpu_input, radius=r, relabel=False)
 
         print(gpu_output)

tests/test_histogram.py

@@ -10,7 +10,9 @@ def test_histogram():
 
     ref_histogram = [1, 2, 3, 4, 2]
 
-    my_histogram = cle.histogram(test, nbins=5, min=1, max=5)
+    my_histogram = cle.histogram(
+        test, num_bins=5, minimum_intensity=1, maximum_intensity=5
+    )
 
     print(my_histogram)
 
@@ -23,7 +25,9 @@ def test_histogram_3d():
 
     ref_histogram = [1, 2, 3, 4, 2]
 
-    my_histogram = cle.histogram(test, nbins=5, min=1, max=5)
+    my_histogram = cle.histogram(
+        test, num_bins=5, minimum_intensity=1, maximum_intensity=5
+    )
 
     print(my_histogram)
 
@@ -36,7 +40,9 @@ def test_histogram_3d_2():
 
     ref_histogram = [1, 2, 3, 4, 2]
 
-    my_histogram = cle.histogram(test, nbins=5, min=1, max=5)
+    my_histogram = cle.histogram(
+        test, num_bins=5, minimum_intensity=1, maximum_intensity=5
+    )
 
     print(my_histogram)
 
@@ -51,6 +57,6 @@ def test_histogram_3d_2():
 #     hist, bc = exposure.histogram(image.ravel(), 256, source_range="image")
 #     print(hist)
 #     gpu_image = cle.push(image.astype(int))
-#     gpu_hist = cle.histogram(gpu_image, nbins=256, min=0, max=gpu_image.max())
+#     gpu_hist = cle.histogram(gpu_image, num_bins=256, minimum_intensity=0, maximum_intensity=gpu_image.max())
 #     print(cle.pull(gpu_hist))
 #     assert np.allclose(hist, cle.pull(gpu_hist))

tests/test_maximum_box.py

@@ -31,7 +31,7 @@ def test_maximum_box():
     )
 
     result = cle.create(test1)
-    cle.maximum(test1, result, 1, 1, 0)
+    cle.maximum_filter(test1, result, 1, 1, 0)
 
     a = cle.pull(result)
     b = cle.pull(reference)

tests/test_maximum_sphere.py

@@ -9,7 +9,7 @@ def test_maximum_sphere_1():
     test = cle.push(np.asarray([[1, 1, 1], [1, 2, 1], [1, 1, 1]]))
 
     test2 = cle.create(test)
-    cle.maximum(test, test2, 1, 1, 1, "sphere")
+    cle.maximum_filter(test, test2, 1, 1, 1, "sphere")
 
     a = cle.pull(test2)
     assert np.min(a) == 1
@@ -28,7 +28,7 @@ def test_maximum_sphere_1():
 def test_maximum_sphere_2():
     gpu_a = cle.push(np.asarray([[1, 1, 1], [1, 2, 1], [1, 1, 1]]))
     gpu_b = cle.create(gpu_a)
-    cle.maximum(gpu_a, gpu_b, 1, 1, 1, "sphere")
+    cle.maximum_filter(gpu_a, gpu_b, 1, 1, 1, "sphere")
 
     a = cle.pull(gpu_b)
     assert np.min(a) == 1

tests/test_minimum_box.py

@@ -31,7 +31,7 @@ def test_minimum_box():
     )
 
     result = cle.create(test1)
-    cle.minimum(test1, result, 1, 1, 0)
+    cle.minimum_filter(test1, result, 1, 1, 0)
 
     a = cle.pull(result)
     b = cle.pull(reference)

tests/test_statistics_of_labelled_pixels.py

@@ -31,7 +31,7 @@ def test_statistics_of_labelled_pixels():
         )
     )
 
-    result = cle.statistics_of_labelled_pixels(labels, intensities)
+    result = cle.statistics_of_labelled_pixels(intensities, labels)
 
     print(result)