using for loop to install conda package

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

@@ -0,0 +1,71 @@
+import numpy as np
+from skimage.util import crop
+from skimage._shared.testing import (assert_array_equal, assert_equal)
+
+
+def test_multi_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, ((1, 2), (2, 1)))
+    assert_array_equal(out[0], [7, 8])
+    assert_array_equal(out[-1], [32, 33])
+    assert_equal(out.shape, (6, 2))
+
+
+def test_pair_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, (1, 2))
+    assert_array_equal(out[0], [6, 7])
+    assert_array_equal(out[-1], [31, 32])
+    assert_equal(out.shape, (6, 2))
+
+
+def test_pair_tuple_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, ((1, 2),))
+    assert_array_equal(out[0], [6, 7])
+    assert_array_equal(out[-1], [31, 32])
+    assert_equal(out.shape, (6, 2))
+
+
+def test_int_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, 1)
+    assert_array_equal(out[0], [6, 7, 8])
+    assert_array_equal(out[-1], [36, 37, 38])
+    assert_equal(out.shape, (7, 3))
+
+
+def test_int_tuple_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, (1,))
+    assert_array_equal(out[0], [6, 7, 8])
+    assert_array_equal(out[-1], [36, 37, 38])
+    assert_equal(out.shape, (7, 3))
+
+
+def test_copy_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out0 = crop(arr, 1, copy=True)
+    assert out0.flags.c_contiguous
+    out0[0, 0] = 100
+    assert not np.any(arr == 100)
+    assert not np.may_share_memory(arr, out0)
+
+    out1 = crop(arr, 1)
+    out1[0, 0] = 100
+    assert arr[1, 1] == 100
+    assert np.may_share_memory(arr, out1)
+
+
+def test_zero_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out = crop(arr, 0)
+    assert out.shape == (9, 5)
+
+
+def test_np_int_crop():
+    arr = np.arange(45).reshape(9, 5)
+    out1 = crop(arr, np.int64(1))
+    out2 = crop(arr, np.int32(1))
+    assert_array_equal(out1, out2)
+    assert out1.shape == (7, 3)