| /external/autotest/client/site_tests/firmware_TouchMTB/tests/logs/link/20130806_221321-fw_1.0.AA-robot/ |
| D | touch_firmware_report-link-fw_1.0.AA-robot-20130806_221321 | 15 deviation slot0: 0.56 mm
22 deviation slot0: 1.48 mm
64 deviation slot0: 0.14 mm
71 deviation slot0: 0.15 mm
113 deviation slot0: 0.15 mm
120 deviation slot0: 0.16 mm
162 deviation slot0: 0.21 mm
169 deviation slot0: 0.20 mm
211 deviation slot0: 0.26 mm
218 deviation slot0: 0.11 mm
[all …]
|
| /external/skqp/src/effects/ |
| D | SkDiscretePathEffect.cpp | 17 sk_sp<SkPathEffect> SkDiscretePathEffect::Make(SkScalar segLength, SkScalar deviation, in Make() argument
19 if (!SkScalarIsFinite(segLength) || !SkScalarIsFinite(deviation)) { in Make()
25 return sk_sp<SkPathEffect>(new SkDiscretePathEffect(segLength, deviation, seedAssist)); in Make()
36 SkScalar deviation, in SkDiscretePathEffect() argument
38 : fSegLength(segLength), fPerterb(deviation), fSeedAssist(seedAssist) in SkDiscretePathEffect()
|
| /external/skia/src/effects/ |
| D | SkDiscretePathEffect.cpp | 17 sk_sp<SkPathEffect> SkDiscretePathEffect::Make(SkScalar segLength, SkScalar deviation, in Make() argument
19 if (!SkScalarIsFinite(segLength) || !SkScalarIsFinite(deviation)) { in Make()
25 return sk_sp<SkPathEffect>(new SkDiscretePathEffect(segLength, deviation, seedAssist)); in Make()
36 SkScalar deviation, in SkDiscretePathEffect() argument
38 : fSegLength(segLength), fPerterb(deviation), fSeedAssist(seedAssist) in SkDiscretePathEffect()
|
| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 1_notmnist.ipynb | 274 …g point values, normalized to have approximately zero mean and standard deviation ~0.5 to make tra…
344 " print('Standard deviation:', np.std(dataset))\n",
379 "Standard deviation: 0.425576\n",
384 "Standard deviation: 0.417272\n",
388 "Standard deviation: 0.421305\n",
393 "Standard deviation: 0.434072\n",
397 "Standard deviation: 0.42882\n",
401 "Standard deviation: 0.429645\n",
405 "Standard deviation: 0.421674\n",
409 "Standard deviation: 0.430344\n",
[all …]
|
| /external/webrtc/webrtc/modules/video_coding/ |
| D | jitter_estimator.cc | 162 double deviation = DeviationFromExpectedDelay(frameDelayMS, deltaFS); in UpdateEstimate() local
164 if (fabs(deviation) < _numStdDevDelayOutlier * sqrt(_varNoise) || in UpdateEstimate()
169 EstimateRandomJitter(deviation, incompleteFrame); in UpdateEstimate()
176 if ((!incompleteFrame || deviation >= 0.0) && in UpdateEstimate()
183 (deviation >= 0) ? _numStdDevDelayOutlier : -_numStdDevDelayOutlier; in UpdateEstimate()
|
| /external/autotest/server/cros/network/ |
| D | netperf_runner.py | 110 deviation = None
113 deviation = math.sqrt(math.fsum(differences) / (N - 1))
114 return mean, deviation
250 deviation = getattr(result, field + '_dev')
259 if bounds[0] is not None and bounds[0] > value + deviation:
262 if bounds[1] is not None and bounds[1] < value - deviation:
|
| /external/deqp/doc/testspecs/GLES2/ |
| D | functional.rasterization.txt | 40 and triangles are compared to reference, and a deviation of 1 pixel in
49 vertex-specific colors, small deviation in interpolated color is allowed.
52 Because sampling pattern is unknown, deviation in produced colors is
|
| /external/mesa3d/src/gallium/state_trackers/wgl/ |
| D | stw_wgl.c | 292 FLOAT deviation, in wglUseFontOutlinesA() argument
301 (void) deviation; in wglUseFontOutlinesA()
317 FLOAT deviation, in wglUseFontOutlinesW() argument
326 (void) deviation; in wglUseFontOutlinesW()
|
| /external/iproute2/ |
| D | README.distribution | 8 things so that X has mean 0 and standard deviation 1, though that's not
54 2. Normalize the data so that it has mean 0 and standard deviation 1.
91 deviation 1. How do you know what values to use for real? Here, I've
93 values, and it will return their mean (mu), standard deviation (sigma),
|
| /external/iproute2/netem/ |
| D | README.distribution | 10 things so that X has mean 0 and standard deviation 1, though that's not
56 2. Normalize the data so that it has mean 0 and standard deviation 1.
93 deviation 1. How do you know what values to use for real? Here, I've
95 values, and it will return their mean (mu), standard deviation (sigma),
|
| /external/autotest/client/site_tests/firmware_TouchMTB/tests/logs/lumpy/20130506_032458-fw_11.23-robot_sim/ |
| D | touch_firmware_report-lumpy-fw_11.23-complete-20130614_065717 | 317 deviation slot0: 1.16 mm
324 deviation slot0: 1.17 mm
364 deviation slot0: 3.10 mm
371 deviation slot0: 2.92 mm
|
| /external/autotest/client/site_tests/firmware_TouchMTB/tests/logs/lumpy/20130506_032659-fw_11.23-robot_sim/ |
| D | touch_firmware_report-lumpy-fw_11.23-complete-20130614_065817 | 317 deviation slot0: 0.53 mm
324 deviation slot0: 0.87 mm
364 deviation slot0: 1.30 mm
371 deviation slot0: 1.41 mm
|
| /external/autotest/client/site_tests/firmware_TouchMTB/tests/logs/lumpy/20130506_030025-fw_11.27-robot_sim/ |
| D | touch_firmware_report-lumpy-fw_11.27-complete-20130614_065448 | 317 deviation slot0: 0.44 mm
324 deviation slot0: 0.54 mm
364 deviation slot0: 2.74 mm
371 deviation slot0: 2.06 mm
|
| /external/syzkaller/vendor/golang.org/x/net/idna/ |
| D | idna.go | 416 case valid, deviation:
475 case mapped, deviation:
580 case deviation:
602 if c := p.simplify(info(v).category()); c != valid && c != deviation {
|
| D | trieval.go | 68 deviation category = 3 const
|
| /external/u-boot/board/astro/mcf5373l/ |
| D | astro.h | 26 unsigned char deviation; member
|
| /external/skqp/include/effects/ |
| D | SkDiscretePathEffect.h | 37 SkScalar deviation,
|
| /external/skia/include/effects/ |
| D | SkDiscretePathEffect.h | 37 SkScalar deviation,
|
| /external/autotest/client/site_tests/firmware_TouchMTB/tests/logs/lumpy/20130506_031746-fw_11.27-robot_sim/ |
| D | touch_firmware_report-lumpy-fw_11.27-complete-20130614_065557 | 166 deviation slot0: 0.49 mm
173 deviation slot0: 1.47 mm
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StatelessRandomNormal.pbtxt | 29 The generated values will have mean 0 and standard deviation 1.
|
| D | api_def_StatefulStandardNormal.pbtxt | 29 The generated values will have mean 0 and standard deviation 1.
|
| D | api_def_StatefulStandardNormalV2.pbtxt | 35 The generated values will have mean 0 and standard deviation 1.
|
| D | api_def_StatelessTruncatedNormal.pbtxt | 30 deviation 1, except that values whose magnitude is more than 2 standard
|
| D | api_def_RandomStandardNormal.pbtxt | 40 The generated values will have mean 0 and standard deviation 1.
|
| /external/deqp/modules/egl/ |
| D | teglGLES2SharedRenderingPerfTests.cpp | 945 double deviation; in logAndSetResults() local
964 deviation = 0.0; in logAndSetResults()
966 deviation += (double)((resultsUs[resultNdx] - average) * (resultsUs[resultNdx] - average)); in logAndSetResults()
968 deviation = std::sqrt(deviation/(double)resultsUs.size()); in logAndSetResults()
975 << "Standard deviation: " << ((double)deviation/1000.0) << "ms\n" in logAndSetResults()
976 …<< "Standard error of mean: " << (((double)deviation/std::sqrt((double)resultsUs.size()))/1000.0) … in logAndSetResults()
|