From b2c413dad0e0dc01b75ccd33b57a0825e4e71af0 Mon Sep 17 00:00:00 2001
From: Olivier Debeir <odebeir@ulb.ac.be>
Date: Thu, 4 Oct 2012 17:30:21 +0200
Subject: [PATCH] rename some test to demo

---
 ...bitbilateral.py => demo_16bitbilateral.py} |  0
 skimage/rank/tests/demo_all.py                | 24 +++++++++++++++++++
 .../{test_benchmark.py => demo_benchmark.py}  |  0
 3 files changed, 24 insertions(+)
 rename skimage/rank/tests/{test_16bitbilateral.py => demo_16bitbilateral.py} (100%)
 create mode 100644 skimage/rank/tests/demo_all.py
 rename skimage/rank/tests/{test_benchmark.py => demo_benchmark.py} (100%)

diff --git a/skimage/rank/tests/test_16bitbilateral.py b/skimage/rank/tests/demo_16bitbilateral.py
similarity index 100%
rename from skimage/rank/tests/test_16bitbilateral.py
rename to skimage/rank/tests/demo_16bitbilateral.py
diff --git a/skimage/rank/tests/demo_all.py b/skimage/rank/tests/demo_all.py
new file mode 100644
index 00000000..8001a25f
--- /dev/null
+++ b/skimage/rank/tests/demo_all.py
@@ -0,0 +1,24 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+from skimage import data
+from skimage.rank import crank8_percentiles
+from skimage.rank import crank16_bilateral
+
+if __name__ == '__main__':
+    a8 = (data.coins()).astype('uint8')
+
+    a16 = (data.coins()).astype('uint16')*16
+    selem = np.ones((20,20),dtype='uint8')
+    f1 = crank8_percentiles.mean(a8,selem = selem,p0=.1,p1=.9)
+    f2 = crank16_bilateral.mean(a16,selem = selem,bitdepth=12,s0=500,s1=500)
+
+    plt.figure()
+    plt.imshow(np.hstack((a8,f1)))
+    plt.colorbar()
+
+    plt.figure()
+    plt.imshow(np.hstack((a16,f2)))
+    plt.colorbar()
+
+    plt.show()
diff --git a/skimage/rank/tests/test_benchmark.py b/skimage/rank/tests/demo_benchmark.py
similarity index 100%
rename from skimage/rank/tests/test_benchmark.py
rename to skimage/rank/tests/demo_benchmark.py