using for loop to install conda package

.CondaPkg/env/Lib/site-packages/skimage/measure/tests/test_pnpoly.py

@@ -0,0 +1,49 @@
+import numpy as np
+from skimage.measure import points_in_poly, grid_points_in_poly
+
+from skimage._shared.testing import assert_array_equal
+
+
+class TestNpnpoly():
+    def test_square(self):
+        v = np.array([[0, 0],
+                      [0, 1],
+                      [1, 1],
+                      [1, 0]])
+        assert(points_in_poly([[0.5, 0.5]], v)[0])
+        assert(not points_in_poly([[-0.1, 0.1]], v)[0])
+
+    def test_triangle(self):
+        v = np.array([[0, 0],
+                      [1, 0],
+                      [0.5, 0.75]])
+        assert(points_in_poly([[0.5, 0.7]], v)[0])
+        assert(not points_in_poly([[0.5, 0.76]], v)[0])
+        assert(not points_in_poly([[0.7, 0.5]], v)[0])
+
+    def test_type(self):
+        assert(points_in_poly([[0, 0]], [[0, 0]]).dtype == bool)
+
+
+def test_grid_points_in_poly():
+    v = np.array([[0, 0],
+                  [5, 0],
+                  [5, 5]])
+
+    expected = np.tril(np.ones((5, 5), dtype=bool))
+
+    assert_array_equal(grid_points_in_poly((5, 5), v), expected)
+
+
+def test_grid_points_in_poly_binarize():
+    v = np.array([[0, 0],
+                  [5, 0],
+                  [5, 5]])
+
+    expected = np.array([[2, 0, 0, 0, 0],
+                        [3, 3, 0, 0, 0],
+                        [3, 1, 3, 0, 0],
+                        [3, 1, 1, 3, 0],
+                        [3, 1, 1, 1, 3]])
+
+    assert_array_equal(grid_points_in_poly((5, 5), v, binarize=False), expected)