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diff --git a/apps/CameraITS/tests/scene1/test_raw_burst_sensitivity.py b/apps/CameraITS/tests/scene1/test_raw_burst_sensitivity.py
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+++ b/apps/CameraITS/tests/scene1/test_raw_burst_sensitivity.py
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+# Copyright 2014 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import its.device
+import its.objects
+import its.image
+import pprint
+import os.path
+import pylab
+import matplotlib
+import matplotlib.pyplot
+
+def main():
+    """Capture a set of raw images with increasing gains and measure the noise.
+
+    Capture raw-only, in a burst.
+    """
+    NAME = os.path.basename(__file__).split(".")[0]
+
+    # Each shot must be 1% noisier (by the variance metric) than the previous
+    # one.
+    VAR_THRESH = 1.01
+
+    NUM_STEPS = 5
+
+    with its.device.ItsSession() as cam:
+
+        props = cam.get_camera_properties()
+
+        # Expose for the scene with min sensitivity
+        sens_min, sens_max = props['android.sensor.info.sensitivityRange']
+        sens_step = (sens_max - sens_min) / NUM_STEPS
+        s_ae,e_ae,_,_,_  = cam.do_3a()
+        s_e_prod = s_ae * e_ae
+
+        reqs = []
+        settings = []
+        for s in range(sens_min, sens_max, sens_step):
+            e = int(s_e_prod / float(s))
+            req = its.objects.manual_capture_request(s, e)
+            reqs.append(req)
+            settings.append((s,e))
+
+        caps = cam.do_capture(reqs, cam.CAP_RAW)
+
+        variances = []
+        for i,cap in enumerate(caps):
+            (s,e) = settings[i]
+
+            # Measure the variance. Each shot should be noisier than the
+            # previous shot (as the gain is increasing).
+            plane = its.image.convert_capture_to_planes(cap, props)[1]
+            tile = its.image.get_image_patch(plane, 0.45,0.45,0.1,0.1)
+            var = its.image.compute_image_variances(tile)[0]
+            variances.append(var)
+
+            img = its.image.convert_capture_to_rgb_image(cap, props=props)
+            its.image.write_image(img, "%s_s=%05d_var=%f.jpg" % (NAME,s,var))
+            print "s=%d, e=%d, var=%e"%(s,e,var)
+
+        pylab.plot(range(len(variances)), variances)
+        matplotlib.pyplot.savefig("%s_variances.png" % (NAME))
+
+        # Test that each shot is noisier than the previous one.
+        for i in range(len(variances) - 1):
+            assert(variances[i] < variances[i+1] / VAR_THRESH)
+
+if __name__ == '__main__':
+    main()
+