| /cts/suite/audio_quality/test_description/processing/ |
| D | calc_thd.py | 17 import numpy as np namespace
25 fftData = abs(fft.fft(data * np.hanning(len(data))))
31 np.argmax(fftData[baseI - iMargain /2: baseI + iMargain/2])
32 peakLoc = np.argmax(fftData[:fftLen])
53 index = np.linspace(0.0, samples, num=samples, endpoint=False)
55 multiplier = 2.0 * np.pi * signalFrequency / float(samplingRate)
56 data = np.sin(index * multiplier)
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| D | calc_delay.py | 17 import numpy as np namespace
29 return np.dot(data0[n:N+n], data1reversed)
57 return np.argmax(result)
68 index = np.linspace(0.0, samples, num=samples, endpoint=False)
70 multiplier = 2.0 * np.pi * signalFrequency / float(samplingRate)
71 data0 = np.sin(index * multiplier)
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| D | example.py | 18 import numpy as np namespace
45 stereo = stereoInt.astype(np.int16)
48 mono = monoInt.astype(np.int16)
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| D | gen_random.py | 18 import numpy as np namespace
32 result = np.zeros(samples * 2 if stereo else samples, dtype=np.int16)
33 randomSignal = np.random.normal(scale = peakAmpl * 2 / 3, size=samples)
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| D | check_spectrum_playback.py | 18 import numpy as np namespace
54 spectrum = np.sqrt(abs(Phh[iLow:iHigh]))
55 spectrumMean = np.mean(spectrum)
63 spectrumResult = np.zeros(len(spectrum), dtype=np.int16)
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| D | check_spectrum.py | 18 import numpy as np namespace
59 amplitudeRatio = np.sqrt(abs(Pdd[iLow:iHigh]/Phh[iLow:iHigh]))
60 ratioMean = np.mean(amplitudeRatio)
68 RatioResult = np.zeros(len(amplitudeRatio), dtype=np.int16)
76 monoData = np.zeros(n)
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| D | playback_thd.py | 18 import numpy as np namespace
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| D | recording_thd.py | 18 import numpy as np namespace
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| /cts/apps/CameraITS/tests/dng_noise_model/ |
| D | dng_noise_model.py | 26 import numpy as np namespace
56 f = np.array([-1, 1]).astype('float32')
59 f = np.convolve(f, f)
60 f = np.convolve(f, f)
78 f = f/math.sqrt(np.dot(f, f))
155 np.mean(tile(p, tile_size), axis=(0, 1)).flatten()
157 np.var(tile(hp, tile_size), axis=(0, 1)).flatten()
192 sens = np.asarray([e[0] for e in measured_models])
193 sens_sq = np.square(sens)
196 gains = np.asarray([s[0] for s in samples])
[all …]
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| /cts/suite/audio_quality/test_description/conf/ |
| D | check_conf.py | 18 import numpy as np namespace
25 a = np.array([1,2,3])
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| /cts/suite/audio_quality/test_description/ |
| D | processing_main.py | 18 import numpy as np namespace
174 data = np.fromstring(raw, dtype=np.int16)
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| /cts/apps/CameraITS/tests/scene4/ |
| D | test_aspect_ratio_and_crop.py | 21 import numpy as np namespace
252 ret3, img_bw = cv2.threshold(np.uint8(img_gray), 0, 255,
389 shape = {"left": np.inf, "right": 0, "top": np.inf, "bottom": 0,
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| /cts/tests/tests/graphics/src/android/graphics/drawable/cts/ |
| D | NinePatchDrawableTest.java | 627 NinePatch np = new NinePatch(bitmap, bitmap.getNinePatchChunk(), null); in getNinePatchDrawable() local
628 return new NinePatchDrawable(mResources, np); in getNinePatchDrawable()
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| /cts/tests/tests/media/assets/ |
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| /cts/tests/tests/media/res/raw/ |
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