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/dports/graphics/alembic/alembic-1.8.3/lib/Alembic/AbcCoreHDF5/Tests/
H A DArchiveTests.cpp135 samps.push_back(34.0); in testReadWriteTimeSamplingArchive()
145 samps.push_back(34.25); in testReadWriteTimeSamplingArchive()
146 samps.push_back(34.5); in testReadWriteTimeSamplingArchive()
156 samps.push_back(300.0); in testReadWriteTimeSamplingArchive()
157 samps.push_back(500.0); in testReadWriteTimeSamplingArchive()
179 samps.push_back(34.0); in testReadWriteTimeSamplingArchive()
185 samps.push_back(34.25); in testReadWriteTimeSamplingArchive()
186 samps.push_back(34.5); in testReadWriteTimeSamplingArchive()
215 samps.push_back(34.0); in testReadWriteMaxNumSamplesArchive()
221 samps[0] = 72.0; in testReadWriteMaxNumSamplesArchive()
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/dports/audio/festival/speech_tools/scripts/
H A Dpm.prl118 push(@samps, unpack("s$n", $buf));
129 $samps[$i] = - $samps[$i];
156 $max = $samps[$j]
157 if $samps[$j] > $max;
159 if $j > 0 && $samps[$j] * $samps[$j+1] < 0;
160 $sum += $samps[$j] * $samps[$j];
207 $pm = find_peak(\@samps, ($i-1)*16, ($i+2)*16);
245 my ($samps, $from, $to) = @_;
248 my ($pwval) = $$samps[$peak]*(1-abs($from-$center)/32);
253 my ($wval) = $$samps[$i]*(1-abs($from-$center)/32);
/dports/graphics/alembic/alembic-1.8.3/lib/Alembic/AbcCoreOgawa/Tests/
H A DArchiveTests.cpp141 samps.push_back(34.0); in testReadWriteTimeSamplingArchive()
151 samps.push_back(34.25); in testReadWriteTimeSamplingArchive()
152 samps.push_back(34.5); in testReadWriteTimeSamplingArchive()
162 samps.push_back(300.0); in testReadWriteTimeSamplingArchive()
163 samps.push_back(500.0); in testReadWriteTimeSamplingArchive()
185 samps.push_back(34.0); in testReadWriteTimeSamplingArchive()
191 samps.push_back(34.25); in testReadWriteTimeSamplingArchive()
192 samps.push_back(34.5); in testReadWriteTimeSamplingArchive()
221 samps.push_back(34.0); in testReadWriteMaxNumSamplesArchive()
227 samps[0] = 72.0; in testReadWriteMaxNumSamplesArchive()
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/dports/comms/uhd/uhd-90ce6062b6b5df2eddeee723777be85108e4e7c7/tools/gr-usrptest/apps/
H A Drx_settling_time.py160 def save_to_file(samps, filename, save_as_numpy): argument
168 samps.tofile(out_file)
170 def plot_samps(samps, rate, set_offset): argument
180 max(np.abs(np.real(samps))),
181 max(np.abs(np.imag(samps))),
184 pylab.plot(time_axis, np.real(samps))
185 pylab.plot(time_axis, np.imag(samps))
228 if samps is None:
230 print("Received {} samples.".format(samps.size))
235 samps,
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/dports/graphics/p5-Imager/Imager-1.012/
H A Dimg16.c626 ++samps; in i_psamp_bits_d16()
641 STORE16(im->idata, off+ch, *samps); in i_psamp_bits_d16()
642 ++samps; in i_psamp_bits_d16()
703 ++samps; in i_psamp_d16()
714 ++samps; in i_psamp_d16()
733 ++samps; in i_psamp_d16()
794 unsigned samp16 = SampleFTo16(*samps); in i_psampf_d16()
796 ++samps; in i_psampf_d16()
809 ++samps; in i_psampf_d16()
827 unsigned samp16 = SampleFTo16(*samps); in i_psampf_d16()
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H A Dimgdouble.c401 *samps++ = ((double *)im->idata)[off+chans[ch]]; in i_gsampf_ddoub()
416 *samps++ = ((double *)im->idata)[off+ch]; in i_gsampf_ddoub()
475 ++samps; in i_psamp_ddoub()
487 ++samps; in i_psamp_ddoub()
507 ++samps; in i_psamp_ddoub()
568 ((double*)im->idata)[offset + chans[ch]] = *samps; in i_psampf_ddoub()
569 ++samps; in i_psampf_ddoub()
579 ((double*)im->idata)[offset + chans[ch]] = *samps; in i_psampf_ddoub()
581 ++samps; in i_psampf_ddoub()
599 ((double*)im->idata)[offset + ch] = *samps; in i_psampf_ddoub()
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H A Dmaskimg.c33 i_sample_t *samps; /* temp space */ member
186 myfree(MASKEXT(im)->samps); in i_destroy_masked()
260 i_sample_t *samps = ext->samps; in i_plin_masked() local
271 if (!samps[i] != !samps[i+1]) in i_plin_masked()
282 if (samps[i]) in i_plin_masked()
337 i_sample_t *samps = ext->samps; in i_plinf_masked() local
348 if (!samps[i] != !samps[i+1]) in i_plinf_masked()
359 if (samps[i]) in i_plinf_masked()
507 i_sample_t *samps = ext->samps; in i_ppal_masked() local
514 while (i < w && !samps[i]) in i_ppal_masked()
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H A Dimmacros.h40 #define i_psamp(im, l, r, y, samps, chans, count) \ argument
41 (((im)->i_f_psamp)((im), (l), (r), (y), (samps), (chans), (count)))
63 #define i_psampf(im, l, r, y, samps, chans, count) \ argument
64 (((im)->i_f_psampf)((im), (l), (r), (y), (samps), (chans), (count)))
81 #define i_gsamp(im, l, r, y, samps, chans, count) \ argument
82 (((im)->i_f_gsamp)((im), (l), (r), (y), (samps), (chans), (count)))
83 #define i_gsampf(im, l, r, y, samps, chans, count) \ argument
84 (((im)->i_f_gsampf)((im), (l), (r), (y), (samps), (chans), (count)))
88 #define i_gsamp_bits(im, l, r, y, samps, chans, count, bits) \ argument
89 …(((im)->i_f_gsamp_bits) ? ((im)->i_f_gsamp_bits)((im), (l), (r), (y), (samps), (chans), (count), (…
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H A Dimg8.c482 *samps++ = data[chans[ch]]; in i_gsamp_d()
497 *samps++ = data[ch]; in i_gsamp_d()
625 data[chans[ch]] = *samps++; in i_psamp_d()
635 data[chans[ch]] = *samps; in i_psamp_d()
636 ++samps; in i_psamp_d()
654 data[ch] = *samps; in i_psamp_d()
655 ++samps; in i_psamp_d()
717 ++samps; in i_psampf_d()
728 ++samps; in i_psampf_d()
746 data[ch] = SampleFTo8(*samps); in i_psampf_d()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/SamplingAlgorithms/test/
H A DSampleCollectionTests.cpp29 state->meta["x norm"] = samps.col(i).norm(); in SetUp()
46 Eigen::MatrixXd samps; member in SampleCollectionTest
55 Eigen::VectorXd trueMu = samps*weights; in TEST_F()
79 Eigen::VectorXd mu = samps * weights; in TEST_F()
117 for(int j=0; j<samps.cols(); ++j){ in TEST_F()
118 for(int i=0; i<samps.rows(); ++i) in TEST_F()
119 EXPECT_DOUBLE_EQ(samps(i,j), sampMat(i,j)); in TEST_F()
141 Eigen::VectorXd sampMu = samps * weights; in TEST_F()
161 Eigen::VectorXd sampMu = samps * weights; in TEST_F()
162 …Eigen::MatrixXd sampCov = (samps.colwise()-sampMu) * weights.asDiagonal() * (samps.colwise()-sampM… in TEST_F()
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H A DMCMCTests.cpp51 std::shared_ptr<SampleCollection> samps = mcmc->Run(start); in TEST() local
56 Eigen::VectorXd mean = samps->Mean(); in TEST()
60 Eigen::MatrixXd cov = samps->Covariance(); in TEST()
105 std::shared_ptr<SampleCollection> samps = mcmc->Run(start); in TEST() local
107 EXPECT_EQ(pt.get<int>("MyMCMC.NumSamples"), samps->size()); in TEST()
110 Eigen::VectorXd mean = samps->Mean(); in TEST()
114 Eigen::MatrixXd cov = samps->Covariance(); in TEST()
188 Eigen::VectorXd mean = samps->Mean(); in TEST()
196 Eigen::MatrixXd cov = samps->Covariance(); in TEST()
248 Eigen::VectorXd mean = samps->Mean(); in TEST()
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H A DSingleChainMCMCParallelTests.cpp47 auto samps = std::make_shared<DistributedCollection>(localSamps, comm); in TEST() local
48 EXPECT_EQ(comm->GetSize()*pt.get<int>("MyMCMC.NumSamples"), samps->size()); in TEST()
50 Eigen::VectorXd mean = samps->Mean(); in TEST()
54 Eigen::MatrixXd cov = samps->Covariance(); in TEST()
101 auto samps = std::make_shared<DistributedCollection>(localSamps, comm); in TEST() local
102 EXPECT_EQ(comm->GetSize()*pt.get<int>("MyMCMC.NumSamples"), samps->size()); in TEST()
104 Eigen::VectorXd mean = samps->Mean(); in TEST()
108 Eigen::MatrixXd cov = samps->Covariance(); in TEST()
H A DMarkovChainTests.cpp21 samps = L * RandomGenerator::GetNormal(2,numWeightedSamps); in SetUp()
27 collection.Add(std::make_shared<SamplingState>(Eigen::VectorXd(samps.col(i)), weights(i))); in SetUp()
38 Eigen::MatrixXd samps; member in MarkovChainTest
47 Eigen::VectorXd trueMu = samps*weights / weights.sum(); in TEST_F()
71 Eigen::VectorXd mu = samps * weights / weights.sum(); in TEST_F()
121 Eigen::VectorXd sampMu = samps * weights / weights.sum(); in TEST_F()
122 …Eigen::VectorXd sampVar = (samps.colwise() - sampMu).array().pow(2.0).matrix() * weights / weights… in TEST_F()
140 Eigen::VectorXd sampMu = samps * weights / weights.sum(); in TEST_F()
141 …Eigen::MatrixXd sampCov = (samps.colwise()-sampMu) * (weights/weights.sum()).asDiagonal() * (samps… in TEST_F()
/dports/math/py-sympy/sympy-1.9/sympy/stats/sampling/tests/
H A Dtest_sample_discrete_rv.py19 samps = sample(X, size=size, library='numpy')
20 for sam in samps:
48 samps = sample(X, size=size, library='scipy')
50 for sam in samps:
69 samps = sample(X, size=size, library='pymc3')
70 for sam in samps:
82 samps = sample(X, size=2) # This takes long time if ran without scipy
83 for samp in samps:
H A Dtest_sample_continuous_rv.py25 samps = sample(X, size=size, library='numpy')
26 for sam in samps:
57 samps = sample(X, size=size, library='scipy')
59 for sam in samps:
85 samps = sample(X, size=size, library='pymc3')
86 for sam in samps:
110 samps = sample(X, size=size)
111 for samp in samps:
142 samps = sample(var, size=size)
143 for samp in samps:
H A Dtest_sample_finite_rv.py24 samps = sample(X, size=size, library='numpy')
25 for sam in samps:
51 samps = sample(X, size=size)
53 for sam in samps:
71 samps = sample(X, size=size, library='pymc3')
72 for sam in samps:
/dports/lang/fth/fth-1.4.1/examples/site-lib/
H A Drubber.fs84 samps 1/f { xinc }
87 samps 0.0 make-vct map!
150 dist min-samps < if
151 dist to min-samps
191 wgt min-samps f< if
192 wgt f>s to min-samps
211 samps
213 len samps 2* min
214 then { needed-samps }
231 handled needed-samps <
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/dports/audio/snd/snd-21.2/
H A Drubber.fs84 samps 1/f { xinc }
87 samps 0.0 make-vct map!
150 dist min-samps < if
151 dist to min-samps
191 wgt min-samps f< if
192 wgt f>s to min-samps
211 samps
213 len samps 2* min
214 then { needed-samps }
231 handled needed-samps <
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/dports/science/py-PyFR/pyfr-1.12.3/pyfr/plugins/
H A Dsampler.py116 def _process_samples(self, samps): argument
117 samps = np.array(samps)
120 if self.fmt == 'primitive' and samps.size:
121 samps = self.elementscls.con_to_pri(samps.T, self.cfg)
122 samps = np.array(samps).T
124 return samps.tolist()
/dports/audio/lmms/lmms-1.2.2/src/gui/widgets/
H A DGraph.cpp280 QVector<float> * samps = &(model()->m_samples); in paintEvent() local
302 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ), in paintEvent()
304 2+static_cast<int>( ( (*samps)[i+1] - maxVal ) * yscale ) in paintEvent()
312 2+static_cast<int>( ( (*samps)[0] - maxVal ) * yscale ) ); in paintEvent()
322 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ), in paintEvent()
324 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ) in paintEvent()
327 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ), in paintEvent()
329 2+static_cast<int>( ( (*samps)[i+1] - maxVal ) * yscale ) in paintEvent()
347 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ), in paintEvent()
370 2+static_cast<int>( ( (*samps)[i] - maxVal ) * yscale ), in paintEvent()
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/dports/math/vtk9/VTK-9.1.0/ThirdParty/vtkm/vtkvtkm/vtk-m/vtkm/thirdparty/diy/vtkmdiy/include/vtkmdiy/detail/algorithms/
H A Dsort.hpp93 std::vector<T> samps; in operator ()() local
99 samps.push_back((b->*values)[std::rand() % (b->*values).size()]); in operator ()()
101 dequeue_values(samps, srp, false); in operator ()()
106 std::sort(samps.begin(), samps.end(), cmp); in operator ()()
108 size_t step = samps.size() / srp.nblocks(); // NB: subsamples.size() + 1 in operator ()()
110 subsamples[i] = samps[(i+1)*step]; in operator ()()
118 save(out, &samps[0], samps.size()); in operator ()()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/unit_test/
H A Dmuq_mcmc.cpp220 std::shared_ptr<SampleCollection> samps = mcmc->Run(startPt); in TEUCHOS_UNIT_TEST() local
237 Eigen::VectorXd sampMean = samps->Mean(); in TEUCHOS_UNIT_TEST()
240 Eigen::VectorXd sampVar = samps->Variance(); in TEUCHOS_UNIT_TEST()
243 Eigen::MatrixXd sampCov = samps->Covariance(); in TEUCHOS_UNIT_TEST()
246 Eigen::VectorXd sampMom3 = samps->CentralMoment(3); in TEUCHOS_UNIT_TEST()
/dports/misc/soapysdr/SoapySDR-soapy-sdr-0.8.1/python/apps/
H A DMeasureDelay.py141 def normalize(samps): argument
142 samps = samps - np.mean(samps) #remove dc
143 samps = np.absolute(samps) #magnitude
144 samps = samps / max(samps) #norm ampl to peak
146 return samps
/dports/misc/py-SoapySDR/SoapySDR-soapy-sdr-0.8.1/python/apps/
H A DMeasureDelay.py141 def normalize(samps): argument
142 samps = samps - np.mean(samps) #remove dc
143 samps = np.absolute(samps) #magnitude
144 samps = samps / max(samps) #norm ampl to peak
146 return samps
/dports/sysutils/istio/istio-1.6.7/vendor/github.com/openshift/api/vendor/gonum.org/v1/gonum/stat/distuv/
H A Dgeneral_test.go78 samps []float64
82 samps: randn(newFittable(), 10),
86 samps: randn(newFittable(), 10),
90 samps: randn(newFittable(), 10),
98 for j := range test.samps {
104 nsInc := incDist.SuffStat(stats, test.samps[j:j+1], incWeights)
108 nsAll := allDist.SuffStat(stats, test.samps[0:j+1], allWeights)
116 nsOnes := onesDist.SuffStat(stats, test.samps[0:j+1], ones(j+1))

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