update

.CondaPkg/env/Lib/site-packages/skimage/util/tests/test_labels.py

@@ -0,0 +1,58 @@
+import numpy as np
+
+from skimage._shared import testing
+from skimage._shared.testing import assert_equal
+
+from skimage.util._label import label_points
+
+
+def test_label_points_coords_dimension():
+    coords, output_shape = np.array([[1, 2], [3, 4]]), (5, 5, 2)
+    with testing.raises(ValueError):
+        label_points(coords, output_shape)
+
+
+def test_label_points_coords_range():
+    coords, output_shape = np.array([[0, 0], [5, 5]]), (5, 5)
+    with testing.raises(IndexError):
+        label_points(coords, output_shape)
+
+
+def test_label_points_coords_negative():
+    coords, output_shape = np.array([[-1, 0], [5, 5]]), (5, 5)
+    with testing.raises(ValueError):
+        label_points(coords, output_shape)
+
+
+def test_label_points_two_dimensional_output():
+    coords, output_shape = np.array([[0, 0], [1, 1], [2, 2], [3, 3], [4, 4]]), (5, 5)
+    mask = label_points(coords, output_shape)
+    assert_equal(
+        mask,
+        np.array(
+            [
+                [1, 0, 0, 0, 0],
+                [0, 2, 0, 0, 0],
+                [0, 0, 3, 0, 0],
+                [0, 0, 0, 4, 0],
+                [0, 0, 0, 0, 5],
+            ]
+        ),
+    )
+
+
+def test_label_points_multi_dimensional_output():
+    coords, output_shape = np.array(
+        [[0, 0, 0], [1, 1, 1], [2, 2, 2], [3, 3, 0], [4, 4, 1]]
+    ), (5, 5, 3)
+    mask = label_points(coords, output_shape)
+    result = np.array(
+        [
+            [[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
+            [[0, 0, 0], [0, 2, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
+            [[0, 0, 0], [0, 0, 0], [0, 0, 3], [0, 0, 0], [0, 0, 0]],
+            [[0, 0, 0], [0, 0, 0], [0, 0, 0], [4, 0, 0], [0, 0, 0]],
+            [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 5, 0]],
+        ]
+    )
+    assert_equal(mask, result)