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  /pdk/apps/CameraITS/tests/
test_param_noise_reduction.py 45 # List of variances for Y,U,V.
46 variances = [[],[],[]]
84 variances[j].append(variance / ref_variance[j])
88 pylab.plot(range(3), variances[j], "rgb"[j])
97 assert(variances[j][i] / variances[j][0] <
  /external/skia/bench/
bench_analyze.py 147 variances = []
154 variances.append(abs(points[-1] - moving_avgs[-1]))
157 variances.append(0)
158 if len(variances) >= WINDOW:
160 # Backfills estimated variances for the first WINDOW-1 points.
161 variances[i] = variances[WINDOW - 1]
163 avg_var = sum(variances) / len(variances)
164 for val in variances: # Removes outlier variances. Only does one iter
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  /cts/tests/tests/hardware/src/android/hardware/cts/helpers/
SensorCtsHelperTest.java 84 double[] variances = SensorCtsHelper.getVariances(getSensorEvents(timestamps, values)); local
85 assertEquals(1, variances.length);
86 assertEquals(2.0, variances[0], 0.00001);
91 variances = SensorCtsHelper.getVariances(
93 assertEquals(3, variances.length);
94 assertEquals(2.0, variances[0], 0.00001);
95 assertEquals(2.0, variances[1], 0.00001);
96 assertEquals(8.0, variances[2], 0.00001);
SensorCtsHelper.java 91 double[] variances = new double[means.length]; local
98 variances[i] = getMean(squaredDiffs);
100 return variances;
109 double[] variances = getVariances(events); local
110 double[] stdDevs = new double[variances.length];
111 for (int i = 0; i < variances.length; i++) {
112 stdDevs[i] = Math.sqrt(variances[i]);
  /pdk/apps/CameraITS/pymodules/its/
image.py 281 variances = []
284 variances.append(numpy.var(img[:,:,i], dtype=numpy.float64))
285 return variances
  /external/chromium_org/tools/
bisect-perf-regression.py 199 variances = [float(x) - mean for x in v]
200 variances = [x * x for x in variances]
201 variance = reduce(lambda x, y: float(x) + float(y), variances) / (len(v) - 1)
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