fix imports

skimage/color/tests/test_colorconv.py

@@ -14,23 +14,27 @@ Authors
 import os.path
 
 import numpy as np
-from numpy.testing import *
+from numpy.testing import (assert_equal,
+                           assert_almost_equal,
+                           assert_array_almost_equal,
+                           assert_raises,
+                           TestCase,
+                           )
 
 from skimage import img_as_float, img_as_ubyte
 from skimage.io import imread
-from skimage.color import (
-    rgb2hsv, hsv2rgb,
-    rgb2xyz, xyz2rgb,
-    rgb2hed, hed2rgb,
-    separate_stains,
-    combine_stains,
-    rgb2rgbcie, rgbcie2rgb,
-    convert_colorspace,
-    rgb2grey, gray2rgb,
-    xyz2lab, lab2xyz,
-    lab2rgb, rgb2lab,
-    is_rgb, is_gray
-    )
+from skimage.color import (rgb2hsv, hsv2rgb,
+                           rgb2xyz, xyz2rgb,
+                           rgb2hed, hed2rgb,
+                           separate_stains,
+                           combine_stains,
+                           rgb2rgbcie, rgbcie2rgb,
+                           convert_colorspace,
+                           rgb2grey, gray2rgb,
+                           xyz2lab, lab2xyz,
+                           lab2rgb, rgb2lab,
+                           is_rgb, is_gray
+                           )
 
 from skimage import data_dir, data
 
@@ -267,4 +271,5 @@ def test_is_rgb():
 
 
 if __name__ == "__main__":
+    from numpy.testing import run_module_suite
     run_module_suite()

skimage/feature/tests/test_hog.py

@@ -4,7 +4,10 @@ from skimage import data
 from skimage import feature
 from skimage import img_as_float
 from skimage import draw
-from numpy.testing import *
+from numpy.testing import (assert_raises,
+                           assert_almost_equal,
+                           )
+
 
 def test_histogram_of_oriented_gradients():
     img = img_as_float(data.lena()[:256, :].mean(axis=2))
@@ -14,16 +17,19 @@ def test_histogram_of_oriented_gradients():
 
     assert len(fd) == 9 * (256 // 8) * (512 // 8)
 
+
 def test_hog_image_size_cell_size_mismatch():
     image = data.camera()[:150, :200]
     fd = feature.hog(image, orientations=9, pixels_per_cell=(8, 8),
                      cells_per_block=(1, 1))
     assert len(fd) == 9 * (150 // 8) * (200 // 8)
 
+
 def test_hog_color_image_unsupported_error():
     image = np.zeros((20, 20, 3))
     assert_raises(ValueError, feature.hog, image)
 
+
 def test_hog_basic_orientations_and_data_types():
     # scenario:
     #  1) create image (with float values) where upper half is filled by zeros, bottom half by 100
@@ -90,6 +96,7 @@ def test_hog_basic_orientations_and_data_types():
 
         assert_almost_equal(actual, desired, decimal=2)
 
+
 def test_hog_orientations_circle():
     # scenario:
     #  1) create image with blurred circle in the middle
@@ -129,6 +136,7 @@ def test_hog_orientations_circle():
         desired = np.mean(hog_matrix)
         assert_almost_equal(actual, desired, decimal=1)
 
+
 if __name__ == '__main__':
     from numpy.testing import run_module_suite
     run_module_suite()

skimage/graph/tests/test_heap.py

@@ -1,5 +1,3 @@
-from numpy.testing import *
-
 import time
 import random
 import skimage.graph.heap as heap
@@ -49,4 +47,5 @@ def _test_heap(n, fast_update):
     return t1 - t0
 
 if __name__ == "__main__":
+    from numpy.testing import run_module_suite
     run_module_suite()

skimage/graph/tests/test_mcp.py

@@ -1,5 +1,8 @@
 import numpy as np
-from numpy.testing import *
+from numpy.testing import (assert_array_equal,
+                           assert_almost_equal,
+                           )
+
 
 import skimage.graph.mcp as mcp