Fixed database typo and removed unnecessary class identifier.

venv/Lib/site-packages/skimage/util/tests/test_map_array.py

@@ -0,0 +1,55 @@
+import numpy as np
+from skimage.util._map_array import map_array, ArrayMap
+
+from skimage._shared import testing
+from skimage._shared.testing import assert_array_equal
+import pytest
+
+
+def test_map_array_incorrect_output_shape():
+    labels = np.random.randint(0, 5, size=(24, 25))
+    out = np.empty((24, 24))
+    in_values = np.unique(labels)
+    out_values = np.random.random(in_values.shape).astype(out.dtype)
+    with testing.raises(ValueError):
+        map_array(labels, in_values, out_values, out=out)
+
+
+def test_map_array_non_contiguous_output_array():
+    labels = np.random.randint(0, 5, size=(24, 25))
+    out = np.empty((24 * 3, 25 * 2))[::3, ::2]
+    in_values = np.unique(labels)
+    out_values = np.random.random(in_values.shape).astype(out.dtype)
+    with testing.raises(ValueError):
+        map_array(labels, in_values, out_values, out=out)
+
+
+def test_arraymap_long_str():
+    labels = np.random.randint(0, 40, size=(24, 25))
+    in_values = np.unique(labels)
+    out_values = np.random.random(in_values.shape)
+    m = ArrayMap(in_values, out_values)
+    assert len(str(m).split('\n')) == m._max_str_lines + 2
+
+
+def test_arraymap_update():
+    in_values = np.unique(np.random.randint(0, 200, size=5))
+    out_values = np.random.random(len(in_values))
+    m = ArrayMap(in_values, out_values)
+    image = np.random.randint(1, len(m), size=(512, 512))
+    assert np.all(m[image] < 1)  # missing values map to 0.
+    m[1:] += 1
+    assert np.all(m[image] >= 1)
+
+
+def test_arraymap_bool_index():
+    in_values = np.unique(np.random.randint(0, 200, size=5))
+    out_values = np.random.random(len(in_values))
+    m = ArrayMap(in_values, out_values)
+    image = np.random.randint(1, len(in_values), size=(512, 512))
+    assert np.all(m[image] < 1)  # missing values map to 0.
+    positive = np.ones(len(m), dtype=bool)
+    positive[0] = False
+    m[positive] += 1
+    assert np.all(m[image] >= 1)
+