[Debian-med-packaging] Bug#955659: praat: FTBFS: failed tests
Lucas Nussbaum
lucas at debian.org
Fri Apr 3 20:46:00 BST 2020
Source: praat
Version: 6.1.09-1
Severity: serious
Justification: FTBFS on amd64
Tags: bullseye sid ftbfs
Usertags: ftbfs-20200402 ftbfs-bullseye
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> PRAAT=/<<PKGBUILDDIR>>/praat debian/tests/run-tests
> /<<PKGBUILDDIR>>
> ===== contrib/kNN.praat
> 110 instances discarded.
> Size of new instance base: 40
> 117 instances discarded.
> Size of new instance base: 33
> 121 instances discarded.
> Size of new instance base: 29
> 120 instances discarded.
> Size of new instance base: 30
> 112 instances discarded.
> Size of new instance base: 38
> 110 instances discarded.
> Size of new instance base: 40
> 124 instances discarded.
> Size of new instance base: 26
> 119 instances discarded.
> Size of new instance base: 31
> 119 instances discarded.
> Size of new instance base: 31
> 126 instances discarded.
> Size of new instance base: 24
> 117 instances discarded.
> Size of new instance base: 33
> 110 instances discarded.
> Size of new instance base: 40
> 114 instances discarded.
> Size of new instance base: 36
> 101 instances discarded.
> Size of new instance base: 49
> 119 instances discarded.
> Size of new instance base: 31
> 123 instances discarded.
> Size of new instance base: 27
> 115 instances discarded.
> Size of new instance base: 35
> 117 instances discarded.
> Size of new instance base: 33
> 116 instances discarded.
> Size of new instance base: 34
> 126 instances discarded.
> Size of new instance base: 24
> 121 instances discarded.
> Size of new instance base: 29
> 115 instances discarded.
> Size of new instance base: 35
> 110 instances discarded.
> Size of new instance base: 40
> 112 instances discarded.
> Size of new instance base: 38
> 106 instances discarded.
> Size of new instance base: 44
> 115 instances discarded.
> Size of new instance base: 35
> 126 instances discarded.
> Size of new instance base: 24
> 116 instances discarded.
> Size of new instance base: 34
> 121 instances discarded.
> Size of new instance base: 29
> 108 instances discarded.
> Size of new instance base: 42
> OK
> ===== dwsys/regex.praat
> ===== dwtools/CPPS.praat
> ===== dwtools/Discriminant.praat
> Test skipped
> ===== dwtools/EditCostsTable.praat
> Test skipped
> ===== dwtools/KlattSlope.praat
> -17.888026 dB
> -15.443032 dB
> ===== fon ExperimentMFC/experimentMFC.praat
> Test skipped
> ===== fon/FormantGrid.praat
> ===== fon/LongSound.praat
> Testing `LongSound: Save as stereo WAV file`...
> 27 seconds...
> 60 seconds...
> 110 seconds...
> 120 seconds...
> 180 seconds...
> 205 seconds...
> OK
> ===== fon/PitchTier.praat
> PitchTier test
> OK
> ===== fon/PointProcess.praat
> ===== fon/Sound_concatenate.praat
> ===== fon/Sound_to_Formant.praat
> ===== fon/Sound_to_LPC.praat
> ===== fon/Spectrum_draw.praat
> Test skipped
> ===== fon/TextGrid.praat
> ===== fon/TextGrid_Sound_extractIntervals.praat
> ===== fon/TextGrid_wordBoundaries.praat
> ===== fon/data.praat
> Data test
> Sound
> Pitch
> Formant
> PointProcess
> PitchTier
> Manipulation
> Matrix
> Speaker
> OTGrammar
> Table
> TableOfReal
> FFNet
> KNN
> Discriminant
> TextGrid
> Network
> text Collection
> short text Collection
> binary Collection
> OK (1.766 seconds)
> ===== fon/endian.praat
> Endian...
> Optimized:
> 0.05 0.05 0.12 0.08
> 0.05 0.05 0.12 0.08
> Portable:
> 0.05 0.05 0.12 0.08
> 0.05 0.05 0.12 0.08
> Native:
> 0.05 0.05 0.05 0.08
> 0.05 0.05 0.05 0.08
> OK
> ===== fon/fftSpeed.praat
> FFT speed:
> 1.041 seconds
> ===== fon/fourier.praat
> Fourier test
> Low sampling frequencies:
> ..................................................
> Random sampling frequencies:
> ..................................................
> Fourier test SUCCEEDED.
> ===== fon/manual_Script.cpp.praat
> fon/manual_Script.cpp.praat OK
> ===== fon/pitch.praat
> Pitch test
> 76.1 -0.030968 -0.030966 0.041%
> 77.1 -0.047458 -0.047367 0.062%
> 78.1 0.040041 0.040641 0.052%
> 79.1 -0.016314 -0.015588 0.021%
> 80.1 0.022420 0.024602 0.031%
> 81.1 0.005642 0.006366 0.008%
> 82.1 -0.013743 -0.009363 0.017%
> 83.1 0.009277 0.012843 0.015%
> 84.1 0.001686 0.002225 0.003%
> 85.1 -0.003773 -0.002825 0.004%
> 86.1 -0.004314 -0.003116 0.005%
> 87.1 0.000121 0.000188 0.0002%
> 88.1 0.002123 0.003229 0.004%
> 89.1 0.000393 0.000630 0.0007%
> 90.1 -0.002128 -0.001375 0.002%
> 91.1 -0.004114 -0.002707 0.005%
> 92.1 0.000749 0.001201 0.001%
> 93.1 0.000022 0.000048 0.00005%
> 94.1 0.000845 0.001321 0.001%
> 95.1 0.000170 0.000253 0.0003%
> 96.1 0.000281 0.000440 0.0005%
> 97.1 -0.001070 -0.000712 0.001%
> 98.1 -0.000585 -0.000389 0.0006%
> 99.1 -0.000015 -0.000010 0.00002%
> 100.1 0.000486 0.000711 0.0007%
> 101.1 -0.000680 -0.000475 0.0007%
> 102.1 0.001185 0.001656 0.002%
> 103.1 0.000224 0.000308 0.0003%
> 104.1 -0.000222 -0.000164 0.0002%
> 105.1 -0.000332 -0.000254 0.0003%
> 106.1 -0.000160 -0.000125 0.0002%
> 107.1 0.000349 0.000431 0.0004%
> 108.1 0.001462 0.001744 0.002%
> 109.1 -0.000527 -0.000456 0.0005%
> 110.1 0.000549 0.000615 0.0006%
> 111.1 0.000144 0.000155 0.0001%
> 112.1 -0.000629 -0.000603 0.0006%
> 113.1 0.001343 0.001353 0.001%
> 114.1 0.000520 0.000538 0.0005%
> 115.1 -0.000356 -0.000332 0.0003%
> 116.1 0.000804 0.000892 0.0008%
> 117.1 0.000573 0.000661 0.0006%
> 118.1 -0.000668 -0.000559 0.0006%
> 119.1 -0.000196 -0.000160 0.0002%
> 120.1 -0.000495 -0.000388 0.0004%
> 121.1 -0.000912 -0.000700 0.0008%
> 122.1 -0.000477 -0.000351 0.0004%
> 123.1 -0.000386 -0.000282 0.0003%
> 124.1 -0.000729 -0.000516 0.0006%
> 125.1 0.000458 0.000659 0.0005%
> 126.1 0.000143 0.000204 0.0002%
> 127.1 0.000059 0.000088 0.00007%
> 128.1 -0.000293 -0.000200 0.0002%
> 129.1 -0.000382 -0.000253 0.0003%
> 130.1 0.000060 0.000091 0.00007%
> 131.1 0.000204 0.000310 0.0002%
> 132.1 0.000649 0.000962 0.0007%
> 133.1 -0.000736 -0.000495 0.0006%
> 134.1 0.000274 0.000405 0.0003%
> 135.1 0.000308 0.000450 0.0003%
> 136.1 -0.002046 -0.001441 0.002%
> 137.1 -0.000108 -0.000074 0.00008%
> 138.1 -0.000718 -0.000518 0.0005%
> 139.1 -0.000111 -0.000081 0.00008%
> 140.1 0.000428 0.000570 0.0004%
> 141.1 0.000517 0.000673 0.0005%
> 142.1 0.000107 0.000139 0.00010%
> 143.1 -0.000782 -0.000639 0.0005%
> 144.1 -0.001802 -0.001501 0.001%
> 145.1 0.001291 0.001510 0.001%
> 146.1 0.000799 0.000912 0.0006%
> 147.1 0.000517 0.000574 0.0004%
> 148.1 0.000394 0.000426 0.0003%
> 149.1 0.000414 0.000435 0.0003%
> 150.1 0.000582 0.000597 0.0004%
> 151.1 0.000925 0.000931 0.0006%
> 152.1 0.001464 0.001506 0.0010%
> 153.1 -0.001615 -0.001532 0.001%
> 154.1 -0.000721 -0.000667 0.0005%
> 155.1 0.000079 0.000091 0.00006%
> 156.1 0.000528 0.000598 0.0004%
> 157.1 0.000542 0.000627 0.0004%
> 158.1 0.000145 0.000171 0.0001%
> 159.1 -0.000472 -0.000389 0.0003%
> 160.1 -0.000668 -0.000548 0.0004%
> 161.1 0.000223 0.000278 0.0002%
> 162.1 -0.001690 -0.001350 0.001%
> 163.1 0.000250 0.000318 0.0002%
> 164.1 0.000491 0.000627 0.0004%
> 165.1 -0.000310 -0.000241 0.0002%
> 166.1 -0.000621 -0.000481 0.0004%
> 167.1 0.001121 0.001457 0.0009%
> 168.1 0.000119 0.000156 0.00009%
> 169.1 0.000415 0.000540 0.0003%
> 170.1 -0.000632 -0.000486 0.0004%
> 171.1 0.000215 0.000282 0.0002%
> 172.1 -0.000336 -0.000257 0.0002%
> 173.1 0.000458 0.000588 0.0003%
> 174.1 -0.000683 -0.000536 0.0004%
> 175.1 0.000788 0.000999 0.0006%
> 176.1 0.000364 0.000454 0.0003%
> 177.1 -0.000036 -0.000025 0.00002%
> 178.1 -0.000323 -0.000267 0.0002%
> 179.1 -0.000406 -0.000335 0.0002%
> 180.1 0.000307 0.000363 0.0002%
> 181.1 -0.000586 -0.000504 0.0003%
> 182.1 -0.000740 -0.000644 0.0004%
> 183.1 0.000340 0.000383 0.0002%
> 184.1 -0.000508 -0.000462 0.0003%
> 185.1 -0.000279 -0.000257 0.0002%
> 186.1 0.000077 0.000081 0.00004%
> 187.1 0.000038 0.000040 0.00002%
> 188.1 0.000469 0.000476 0.0003%
> 189.1 -0.000487 -0.000483 0.0003%
> 190.1 0.001749 0.001802 0.0009%
> 191.1 0.000507 0.000534 0.0003%
> 192.1 -0.000449 -0.000418 0.0002%
> 193.1 0.000267 0.000295 0.0002%
> 194.1 -0.000499 -0.000446 0.0003%
> 195.1 -0.001720 -0.001506 0.0009%
> 196.1 0.000266 0.000310 0.0002%
> 197.1 0.000209 0.000248 0.0001%
> 198.1 0.000597 0.000717 0.0004%
> 199.1 -0.000635 -0.000521 0.0003%
> 200.1 0.000284 0.000356 0.0002%
> 201.1 -0.000675 -0.000542 0.0003%
> 202.1 -0.000530 -0.000422 0.0003%
> 203.1 -0.000374 -0.000294 0.0002%
> 204.1 -0.001534 -0.001208 0.0008%
> 205.1 -0.000053 -0.000036 0.00003%
> 206.1 0.001494 0.001906 0.0009%
> 207.1 0.000130 0.000173 0.00008%
> 208.1 0.001129 0.001436 0.0007%
> 209.1 0.000213 0.000275 0.0001%
> 210.1 0.001028 0.001294 0.0006%
> 211.1 0.000211 0.000269 0.0001%
> 212.1 0.001165 0.001446 0.0007%
> 213.1 0.000124 0.000159 0.00007%
> 214.1 0.001563 0.001901 0.0009%
> 215.1 -0.000063 -0.000046 0.00003%
> 216.1 -0.001468 -0.001238 0.0007%
> 217.1 -0.000358 -0.000302 0.0002%
> 218.1 -0.000549 -0.000478 0.0003%
> 219.1 -0.000634 -0.000556 0.0003%
> 220.1 0.000228 0.000259 0.0001%
> 221.1 -0.000665 -0.000602 0.0003%
> 222.1 0.000621 0.000673 0.0003%
> 223.1 -0.000131 -0.000114 0.00006%
> 224.1 0.000486 0.000508 0.0002%
> 225.1 0.001227 0.001258 0.0006%
> 277 -0.000514 -0.000438 0.0002%
> 377 0.000036 0.000076 0.00002%
> 477 0.000436 0.000529 0.0001%
> 577 0.000401 0.000581 0.0001%
> 677 -0.000336 -0.000260 0.00005%
> 777 0.000328 0.000721 0.00009%
> 877 -0.000469 0.000620 0.00007%
> 977 -0.000414 -0.000169 0.00004%
> 1077 0.000005 0.000244 0.00002%
> 1177 -0.001799 0.000175 0.0002%
> 1277 -0.000809 0.001733 0.0001%
> 1377 -0.006836 0.002769 0.0005%
> 1477 -0.001706 0.002859 0.0002%
> 1577 -0.003352 0.007229 0.0005%
> 1677 -0.009019 0.008128 0.0005%
> 1777 -0.000189 0.001253 0.00007%
> 1877 -0.009524 0.008277 0.0005%
> 1977 -0.015656 0.014539 0.0008%
> 2077 -0.001275 -0.000292 0.00006%
> 2177 -0.023385 0.022292 0.001%
> 2277 -0.014245 0.019284 0.0008%
> 2377 -0.002720 0.004388 0.0002%
> 2477 -0.047400 0.051424 0.002%
> 2577 -0.009558 0.009974 0.0004%
> 2677 -0.015658 0.017027 0.0006%
> 2777 -0.089387 0.092523 0.003%
> 2877 -0.033960 0.035115 0.001%
> 2977 -0.016094 0.016840 0.0006%
> 3077 -0.148895 0.147651 0.005%
> 3177 -0.093023 0.097616 0.003%
> 3277 -0.117988 0.117326 0.004%
> 3377 -0.046550 0.045711 0.001%
> 3477 -0.064662 0.064796 0.002%
> 3577 -0.470338 0.470434 0.013%
> 3677 -1.506264 1.509511 0.041%
> 3777 -0.241370 0.242943 0.006%
> 3877 -1.365426 1.352800 0.035%
> 3977 -0.408779 0.399868 0.010%
> 4077 -0.065377 0.067932 0.002%
> 4177 -2.152630 2.184749 0.052%
> 4277 -2.474173 2.496520 0.058%
> 4377 -0.837104 0.833363 0.019%
> 4477 -3.417345 3.414664 0.076%
> 4577 -1.948312 1.938207 0.043%
> 4677 -0.903807 0.898415 0.019%
> 4777 -1.555841 1.537400 0.033%
> 4877 -0.542892 0.542241 0.011%
> 4977 -0.639086 0.643347 0.013%
> 5077 -1.583541 1.599220 0.031%
> 5177 -0.703276 0.707435 0.014%
> 5277 -1.561544 1.569737 0.030%
> 5377 -2.391557 2.393969 0.045%
> 5477 -0.480866 0.475073 0.009%
> 5577 -2.003079 2.009432 0.036%
> 5677 -2.184693 2.203274 0.039%
> 5777 -0.039434 0.040383 0.0007%
> 5877 -1.895700 1.886322 0.032%
> 5977 -1.638967 1.640750 0.027%
> 6077 -0.302380 0.296317 0.005%
> 6177 -1.887900 1.884897 0.031%
> 6277 -1.484813 1.487997 0.024%
> 6377 -0.740686 0.742600 0.012%
> 6477 -2.544334 2.567180 0.040%
> 6577 -1.631807 1.635351 0.025%
> 6677 -1.484240 1.490990 0.022%
> 6777 -3.370664 3.391477 0.050%
> 6877 -1.530144 1.528982 0.022%
> 6977 -2.345472 2.355271 0.034%
> 7077 -3.877763 3.893939 0.055%
> 7177 -1.081993 1.081984 0.015%
> 7277 -3.132195 3.142740 0.043%
> 7377 -4.016988 4.039360 0.055%
> 7477 -0.422180 0.419395 0.006%
> 7577 -3.835142 3.853402 0.051%
> 7677 -3.981140 3.998409 0.052%
> 7777 -0.364235 0.364947 0.005%
> 7877 -4.596198 4.609120 0.059%
> 7977 -3.892009 3.907708 0.049%
> 8077 -1.319068 1.312700 0.016%
> 8177 -5.481609 5.483878 0.067%
> 8277 -3.708213 3.717004 0.045%
> 8377 -2.488287 2.489435 0.030%
> 8477 -6.396496 6.393864 0.075%
> 8577 -3.282830 3.285894 0.038%
> 8677 -3.856386 3.857519 0.044%
> 8777 -7.156180 7.148463 0.082%
> 8877 -2.515764 2.510851 0.028%
> 8977 -5.304910 5.297784 0.059%
> 9077 -7.591432 7.569527 0.084%
> 9177 -1.398601 1.395872 0.015%
> 9277 -6.674101 6.653037 0.072%
> 9377 -7.593547 7.558693 0.081%
> 9477 -0.018155 0.015921 0.0002%
> 9577 -7.819533 7.773686 0.082%
> 9677 -7.141180 7.094705 0.074%
> 9777 -1.495100 1.492585 0.015%
> 9877 -8.632923 8.547992 0.087%
> 9977 -6.283520 6.217657 0.063%
> 10077 -3.022024 3.013769 0.030%
> 10177 -9.060566 8.918540 0.089%
> 10277 -5.098159 5.033543 0.050%
> 10377 -4.427016 4.402420 0.043%
> 10477 -9.107794 8.880280 0.087%
> 10577 -3.727263 3.622080 0.035%
> 10677 -5.640422 5.583049 0.053%
> 10777 -8.908199 8.411657 0.083%
> 10799.9 -1.213747 0.902795 0.011%
> 10809.9 -7.481494 6.948429 0.069%
> 10819.9 -8.898965 8.426502 0.082%
> 10829.9 -4.374413 4.502592 0.042%
> 10839.9 -2.559149 2.774202 0.026%
> 10849.9 -8.309114 7.755055 0.077%
> 10859.9 -8.654059 7.640928 0.080%
> 10869.9 -3.326304 2.547138 0.031%
> 10879.9 -4.592112 3.790496 0.042%
> 10889.9 -9.110522 8.155825 0.084%
> 10899.9 -7.486717 7.347496 0.069%
> 10909.9 -0.928933 1.761073 0.016%
> 10919.9 -5.577459 5.587401 0.051%
> 10929.9 -9.917805 7.893906 0.091%
> 10939.9 -7.927027 4.869506 0.072%
> 10949.9 -1.901673 -1.279940 0.017%
> 76.1 -0.044652 -0.006575 0.059%
> 77.1 -0.027925 0.024900 0.036%
> 78.1 -0.017328 0.040235 0.052%
> 79.1 -0.042447 0.021780 0.054%
> 80.1 -0.021841 0.035366 0.044%
> 81.1 -0.041405 0.033839 0.051%
> 82.1 -0.034239 0.028571 0.042%
> 83.1 -0.023313 0.019937 0.028%
> 84.1 -0.029752 0.052937 0.063%
> 85.1 -0.039789 0.049609 0.058%
> 86.1 -0.043447 0.049799 0.058%
> 87.1 -0.035946 0.045151 0.052%
> 88.1 -0.033710 0.052520 0.060%
> 89.1 -0.034464 0.037384 0.042%
> 90.1 -0.059799 0.031444 0.066%
> 91.1 -0.036117 0.060062 0.066%
> 92.1 -0.020073 0.037454 0.041%
> 93.1 -0.065424 0.032447 0.070%
> 94.1 -0.037277 0.059005 0.063%
> 95.1 -0.067573 0.051523 0.071%
> 96.1 -0.035456 0.047314 0.049%
> 97.1 -0.057402 0.072128 0.074%
> 98.1 -0.043480 0.044889 0.046%
> 99.1 -0.014845 0.048071 0.049%
> 100.1 -0.042899 0.071523 0.071%
> 101.1 -0.054645 0.072463 0.072%
> 102.1 -0.074554 0.061085 0.073%
> 103.1 -0.057187 0.062006 0.060%
> 104.1 -0.082359 0.051816 0.079%
> 105.1 -0.079216 0.055022 0.075%
> 106.1 -0.086131 0.059431 0.081%
> 107.1 -0.086659 0.063400 0.081%
> 108.1 -0.084948 0.079909 0.079%
> 109.1 -0.071520 0.025026 0.066%
> 110.1 -0.046448 0.087914 0.080%
> 111.1 -0.009057 0.014946 0.013%
> 112.1 -0.089958 0.041754 0.080%
> 113.1 -0.087971 0.085218 0.078%
> 114.1 -0.056020 0.096002 0.084%
> 115.1 -0.047936 0.052330 0.045%
> 116.1 -0.102145 0.074989 0.088%
> 117.1 -0.059672 0.043201 0.051%
> 118.1 -0.091545 0.054838 0.078%
> 119.1 -0.070346 0.110190 0.093%
> 120.1 -0.082208 0.055307 0.068%
> 121.1 -0.088578 0.110186 0.091%
> 122.1 -0.080065 0.055361 0.066%
> 123.1 -0.048447 0.106475 0.086%
> 124.1 -0.083034 0.049986 0.067%
> 125.1 -0.072448 0.050583 0.058%
> 126.1 -0.074398 0.056091 0.059%
> 127.1 -0.069441 0.075461 0.059%
> 128.1 -0.071252 0.107524 0.084%
> 129.1 -0.111222 0.066034 0.086%
> 130.1 -0.073635 0.067270 0.057%
> 131.1 -0.087266 0.131250 0.100%
> 132.1 -0.114924 0.110500 0.087%
> 133.1 -0.098432 0.068695 0.074%
> 134.1 -0.077341 0.104440 0.078%
> 135.1 -0.084509 0.131970 0.098%
> 136.1 -0.128717 0.133008 0.098%
> 137.1 -0.068858 0.096477 0.070%
> 138.1 -0.114688 0.069991 0.083%
> 139.1 -0.099328 0.089969 0.071%
> 140.1 -0.070722 0.105053 0.075%
> 141.1 -0.087380 0.134236 0.095%
> 142.1 -0.105999 0.153902 0.108%
> 143.1 -0.127474 0.150652 0.105%
> 144.1 -0.144319 0.149762 0.104%
> 145.1 -0.152635 0.136352 0.105%
> 146.1 -0.159791 0.136129 0.109%
> 147.1 -0.143434 0.106343 0.098%
> 148.1 -0.170763 0.130078 0.115%
> 149.1 -0.171217 0.127492 0.115%
> 150.1 -0.172328 0.135229 0.115%
> 151.1 -0.045533 0.046287 0.031%
> 152.1 -0.106069 0.101412 0.070%
> 153.1 -0.105224 0.102443 0.069%
> 154.1 -0.085120 0.113818 0.074%
> 155.1 -0.087883 0.113878 0.073%
> 156.1 -0.068952 0.099082 0.063%
> 157.1 -0.055752 0.085964 0.055%
> 158.1 -0.054551 0.063907 0.040%
> 159.1 -0.078650 0.062414 0.049%
> 160.1 -0.091407 0.064699 0.057%
> 161.1 -0.114072 0.093794 0.071%
> 162.1 -0.112504 0.116852 0.072%
> 163.1 -0.086254 0.114712 0.070%
> 164.1 -0.059389 0.086410 0.053%
> 165.1 -0.072649 0.053778 0.044%
> 166.1 -0.115081 0.078575 0.069%
> 167.1 -0.122903 0.115979 0.074%
> 168.1 -0.095773 0.124195 0.074%
> 169.1 -0.011369 0.095158 0.056%
> 170.1 -0.090160 0.062726 0.053%
> 171.1 -0.129542 0.106991 0.076%
> 172.1 -0.109188 0.132499 0.077%
> 173.1 -0.067392 0.093026 0.054%
> 174.1 -0.108131 0.074407 0.062%
> 175.1 -0.135705 0.122292 0.078%
> 176.1 -0.095921 0.122299 0.069%
> 177.1 -0.078392 0.081791 0.046%
> 178.1 -0.134687 0.104304 0.076%
> 179.1 -0.117468 0.146048 0.082%
> 180.1 -0.077384 0.098911 0.055%
> 181.1 -0.131218 0.096286 0.072%
> 182.1 -0.130301 0.138725 0.076%
> 183.1 -0.079893 0.104353 0.057%
> 184.1 -0.137816 0.095010 0.075%
> 185.1 -0.124574 0.155478 0.084%
> 186.1 -0.087844 0.094818 0.051%
> 187.1 -0.150212 0.125366 0.080%
> 188.1 -0.107025 0.143233 0.076%
> 189.1 -0.118846 0.085422 0.063%
> 190.1 -0.154880 0.150436 0.081%
> 191.1 -0.080067 0.111230 0.058%
> 192.1 -0.161683 0.111954 0.084%
> 193.1 -0.115758 0.171051 0.089%
> 194.1 -0.106322 0.083270 0.055%
> 195.1 -0.163295 0.165853 0.085%
> 196.1 -0.090773 0.115259 0.059%
> 197.1 -0.171456 0.143208 0.087%
> 198.1 -0.091369 0.139116 0.070%
> 199.1 -0.167922 0.111458 0.084%
> 200.1 -0.124066 0.185009 0.092%
> 201.1 -0.130962 0.094908 0.065%
> 202.1 -0.107415 0.182081 0.090%
> 203.1 -0.128016 0.093437 0.063%
> 204.1 -0.158606 0.177565 0.087%
> 205.1 -0.066149 0.063300 0.032%
> 206.1 -0.188083 0.184150 0.091%
> 207.1 -0.107556 0.121362 0.059%
> 208.1 -0.191627 0.174260 0.092%
> 209.1 -0.095948 0.109736 0.052%
> 210.1 -0.200202 0.183463 0.095%
> 211.1 -0.104261 0.126151 0.060%
> 212.1 -0.195877 0.188048 0.092%
> 213.1 -0.101569 0.107350 0.050%
> 214.1 -0.202898 0.199476 0.095%
> 215.1 -0.124882 0.124080 0.058%
> 216.1 -0.195307 0.205462 0.095%
> 217.1 -0.123740 0.104504 0.057%
> 218.1 -0.179440 0.215456 0.099%
> 219.1 -0.168352 0.114889 0.077%
> 220.1 -0.161025 0.230608 0.105%
> 221.1 -0.188405 0.127532 0.085%
> 222.1 -0.134900 0.201664 0.091%
> 223.1 -0.213816 0.166037 0.096%
> 224.1 -0.099457 0.156057 0.070%
> 225.1 -0.232015 0.201202 0.103%
> 277 -0.147161 0.122685 0.053%
> 377 -0.285252 0.303052 0.080%
> 477 -0.219079 0.487929 0.102%
> 577 -0.206250 0.704534 0.122%
> 677 -0.327977 0.216685 0.048%
> 777 -0.251062 0.544695 0.070%
> 877 -0.672720 0.710127 0.081%
> 977 -0.533982 0.510201 0.055%
> 1077 -0.509338 0.515975 0.048%
> 1177 -0.879976 0.828907 0.075%
> 1277 -0.738396 0.849335 0.067%
> 1377 -0.985089 1.258064 0.091%
> 1477 -1.249242 1.248965 0.085%
> 1577 -1.119190 0.944964 0.071%
> 1677 -1.365782 1.352304 0.081%
> 1777 -1.146147 1.097855 0.064%
> 1877 -0.947632 0.804747 0.050%
> 1977 -1.647464 1.536633 0.083%
> 2077 -1.001601 0.989724 0.048%
> 2177 0.860008 5.072761 0.233%
> 2187 1.574419 6.085914 0.278%
> 2197 1.282456 3.989778 0.182%
> 2207 -1.491420 1.299244 0.068%
> 2217 -1.205286 1.227763 0.055%
> 2227 -1.227896 1.231544 0.055%
> 2237 -1.168074 1.100831 0.052%
> 2247 -1.270028 1.057533 0.057%
> 2257 -1.523874 0.943970 0.068%
> 2267 -0.448362 0.595012 0.026%
> 2277 -0.593327 0.758822 0.033%
> 2377 -1.353991 1.334885 0.057%
> 2477 -2.340963 2.214448 0.095%
> 2577 -0.966606 1.106959 0.043%
> 2677 -2.581322 1.775932 0.096%
> 2777 -1.367847 1.324806 0.049%
> 2877 -1.126351 1.608024 0.056%
> 2977 -1.194071 1.187216 0.040%
> 3077 -2.240742 2.424396 0.079%
> 3177 -2.698684 2.837850 0.089%
> 3277 -2.401480 2.375951 0.073%
> 3377 -2.340577 2.282489 0.069%
> 3477 -2.440945 2.128524 0.070%
> 3577 -2.956707 1.697925 0.083%
> 3677 -2.001049 1.193304 0.054%
> 3777 -2.327248 0.416662 0.062%
> 3877 -1.017691 1.111782 0.029%
> 3977 -0.839266 0.813514 0.021%
> 4077 -0.201036 0.226845 0.006%
> 4177 -1.748911 1.713205 0.042%
> 4277 -2.911137 3.017860 0.071%
> 4377 -1.457580 1.488393 0.034%
> 4477 -2.173393 2.268175 0.051%
> 4577 -3.646330 3.533826 0.080%
> 4677 -2.755474 2.511327 0.059%
> 4777 -1.192521 1.509326 0.032%
> 4877 -3.361169 3.331120 0.069%
> 4977 -3.943762 4.084779 0.082%
> 5077 -2.363844 1.955033 0.047%
> 5177 -3.457150 3.340344 0.067%
> 5277 -4.588436 6.011642 0.114%
> 5377 -4.960498 2.723827 0.092%
> 219 -0.189765 0.117371 0.087%
> 220 -0.143809 0.132234 0.065%
> 75.1 -0.043318 0.041683 0.058%
> 76.1 -0.048273 0.035654 0.063%
> 77.1 -0.050740 0.029833 0.066%
> 78.1 -0.048573 0.022365 0.062%
> 79.1 -0.042355 0.013281 0.054%
> 80.1 -0.034935 0.006578 0.044%
> 81.1 -0.024710 -0.000802 0.030%
> 82.1 -0.016973 -0.008153 0.021%
> 83.1 -0.012473 -0.006007 0.015%
> 84.1 -0.016439 0.002946 0.020%
> 85.1 -0.019411 0.010316 0.023%
> 86.1 -0.020605 0.017128 0.024%
> 87.1 -0.020027 0.023496 0.027%
> 88.1 -0.018435 0.028850 0.033%
> 89.1 -0.016783 0.031847 0.036%
> 90.1 -0.014035 0.032166 0.036%
> 91.1 -0.010926 0.034176 0.038%
> 92.1 -0.005782 0.032587 0.035%
> 93.1 -0.002212 0.029717 0.032%
> 94.1 0.001954 0.028360 0.030%
> 95.1 0.004622 0.024733 0.026%
> 96.1 0.007503 0.022545 0.023%
> 97.1 0.008129 0.017751 0.018%
> 98.1 0.009863 0.015730 0.016%
> 99.1 0.011020 0.013925 0.014%
> 100.1 0.011272 0.012149 0.012%
> 101.1 0.008991 0.009106 0.009%
> 102.1 0.009633 0.009761 0.010%
> 103.1 0.007005 0.007590 0.007%
> 104.1 0.004622 0.006546 0.006%
> 105.1 0.002432 0.006112 0.006%
> 106.1 0.000490 0.006117 0.006%
> 107.1 -0.000928 0.006625 0.006%
> 108.1 -0.001404 0.007871 0.007%
> 109.1 -0.004909 0.005913 0.005%
> 110.1 -0.004952 0.007149 0.006%
> 111.1 -0.006081 0.006652 0.006%
> 112.1 -0.006991 0.005819 0.006%
> 113.1 -0.004691 0.007389 0.007%
> 114.1 -0.005083 0.006327 0.006%
> 115.1 -0.005166 0.005072 0.004%
> 116.1 -0.002786 0.005607 0.005%
> 117.1 -0.001870 0.004911 0.004%
> 118.1 -0.001815 0.003120 0.003%
> 119.1 -0.000116 0.002989 0.003%
> 120.1 0.000802 0.002334 0.002%
> 121.1 0.001404 0.001546 0.001%
> 122.1 0.001753 0.002665 0.002%
> 123.1 0.001670 0.003240 0.003%
> 124.1 0.001419 0.003324 0.003%
> 125.1 0.002722 0.004529 0.004%
> 126.1 0.002536 0.003919 0.003%
> 127.1 0.002783 0.003480 0.003%
> 128.1 0.002511 0.002744 0.002%
> 129.1 0.001742 0.003047 0.002%
> 130.1 0.001357 0.003831 0.003%
> 131.1 0.000699 0.004238 0.003%
> 132.1 0.000451 0.004959 0.004%
> 133.1 -0.001694 0.003697 0.003%
> 134.1 -0.001372 0.004648 0.003%
> 135.1 -0.001787 0.004480 0.003%
> 136.1 -0.004180 0.002015 0.003%
> 137.1 -0.002700 0.003311 0.002%
> 138.1 -0.003227 0.002303 0.002%
> 139.1 -0.002537 0.002240 0.002%
> 140.1 -0.001620 0.002177 0.002%
> 141.1 -0.001083 0.001588 0.001%
> 142.1 -0.001041 0.000445 0.0007%
> 143.1 -0.001328 -0.001016 0.0009%
> 144.1 -0.002506 -0.001718 0.002%
> 145.1 0.000089 0.001848 0.001%
> 146.1 -0.000803 0.001773 0.001%
> 147.1 -0.001343 0.001842 0.001%
> 148.1 -0.001571 0.001990 0.001%
> 149.1 -0.001518 0.002174 0.001%
> 150.1 -0.001191 0.002391 0.002%
> 151.1 -0.000581 0.002671 0.002%
> 152.1 0.000329 0.003061 0.002%
> 153.1 -0.002316 -0.000247 0.002%
> 154.1 -0.000987 0.000318 0.0006%
> 155.1 0.000251 0.000736 0.0005%
> 156.1 0.000830 0.001171 0.0008%
> 157.1 0.000468 0.001591 0.001%
> 158.1 -0.000317 0.001493 0.0009%
> 159.1 -0.001217 0.001143 0.0008%
> 160.1 -0.001632 0.001095 0.001%
> 161.1 -0.000938 0.001979 0.001%
> 162.1 -0.002785 0.000123 0.002%
> 163.1 -0.001002 0.001777 0.001%
> 164.1 -0.000663 0.001806 0.001%
> 165.1 -0.001350 0.000638 0.0008%
> 166.1 -0.001415 -0.000027 0.0009%
> 167.1 0.000667 0.001408 0.0008%
> 168.1 -0.000208 -0.000167 0.0001%
> 169.1 -0.000238 0.000407 0.0002%
> 170.1 -0.001652 -0.000352 0.0010%
> 171.1 -0.001148 0.000693 0.0007%
> 172.1 -0.001943 0.000356 0.001%
> 173.1 -0.001310 0.001335 0.0008%
> 174.1 -0.002530 0.000308 0.001%
> 175.1 -0.001004 0.001831 0.001%
> 176.1 -0.001420 0.001333 0.0008%
> 177.1 -0.001717 0.000825 0.0010%
> 178.1 -0.001751 0.000429 0.0010%
> 179.1 -0.001558 0.000188 0.0009%
> 180.1 -0.000567 0.000705 0.0004%
> 181.1 -0.001132 -0.000380 0.0006%
> 182.1 -0.000971 -0.000733 0.0005%
> 183.1 0.000122 0.000365 0.0002%
> 184.1 -0.000893 -0.000230 0.0005%
> 185.1 -0.000812 0.000189 0.0004%
> 186.1 -0.000571 0.000689 0.0004%
> 187.1 -0.000660 0.000730 0.0004%
> 188.1 -0.000237 0.001190 0.0006%
> 189.1 -0.001164 0.000199 0.0006%
> 190.1 0.001179 0.002362 0.001%
> 191.1 0.000026 0.000978 0.0005%
> 192.1 -0.000792 -0.000160 0.0004%
> 193.1 0.000074 0.000356 0.0002%
> 194.1 -0.000613 -0.000524 0.0003%
> 195.1 -0.001966 -0.001511 0.001%
> 196.1 -0.000263 0.000532 0.0003%
> 197.1 -0.000492 0.000590 0.0003%
> 198.1 -0.000207 0.001114 0.0006%
> 199.1 -0.001547 -0.000060 0.0008%
> 200.1 -0.000700 0.000864 0.0004%
> 201.1 -0.001650 -0.000070 0.0008%
> 202.1 -0.001478 0.000019 0.0007%
> 203.1 -0.001271 0.000094 0.0006%
> 204.1 -0.002195 -0.001036 0.001%
> 205.1 -0.000735 0.000180 0.0004%
> 206.1 0.001178 0.001800 0.0009%
> 207.1 -0.000215 0.000137 0.0001%
> 208.1 0.001085 0.001148 0.0006%
> 209.1 0.000009 0.000199 0.00010%
> 210.1 0.000844 0.001260 0.0006%
> 211.1 -0.000141 0.000452 0.0002%
> 212.1 0.000888 0.001606 0.0008%
> 213.1 -0.000284 0.000502 0.0002%
> 214.1 0.001324 0.002117 0.0010%
> 215.1 -0.000421 0.000327 0.0002%
> 216.1 -0.001651 -0.001009 0.0008%
> 217.1 -0.000554 -0.000040 0.0003%
> 218.1 -0.000645 -0.000300 0.0003%
> 219.1 -0.000632 -0.000469 0.0003%
> 220.1 0.000274 0.000299 0.0001%
> 221.1 -0.000699 -0.000490 0.0003%
> 222.1 0.000492 0.000865 0.0004%
> 223.1 -0.000354 0.000154 0.0002%
> 224.1 0.000202 0.000814 0.0004%
> 225.1 0.000907 0.001575 0.0007%
> 277 -0.000518 -0.000336 0.0002%
> 377 0.000011 0.000096 0.00003%
> 477 0.000485 0.000522 0.0001%
> 577 0.000508 0.000520 0.00009%
> 677 -0.000281 -0.000273 0.00004%
> 777 0.000535 0.000540 0.00007%
> 877 0.000100 0.000103 0.00001%
> 977 -0.000259 -0.000257 0.00003%
> 1077 0.000127 0.000128 0.00001%
> 1177 -0.000819 -0.000818 0.00007%
> 1277 0.000462 0.000462 0.00004%
> 1377 -0.002055 -0.002054 0.0001%
> 1477 0.000576 0.000577 0.00004%
> 1577 0.001922 0.001922 0.0001%
> 1677 -0.000439 -0.000439 0.00003%
> 1777 0.000595 0.000595 0.00003%
> 1877 -0.000552 -0.000552 0.00003%
> 1977 -0.000552 -0.000552 0.00003%
> 2077 -0.000822 -0.000822 0.00004%
> 2177 -0.000205 -0.000205 0.000009%
> 2277 -0.000282 -0.000282 0.00001%
> 2377 0.000951 0.000951 0.00004%
> 2477 0.000386 0.000386 0.00002%
> 2577 -0.000231 -0.000231 0.000009%
> 2677 0.001406 0.001406 0.00005%
> 2777 0.000680 0.000680 0.00002%
> 2877 -0.000170 -0.000170 0.000006%
> 2977 0.000663 0.000663 0.00002%
> 3077 0.000747 0.000747 0.00002%
> 3177 0.002218 0.002218 0.00007%
> 3277 -0.000574 -0.000574 0.00002%
> 3377 -0.000598 -0.000598 0.00002%
> 3477 0.000099 0.000099 0.000003%
> 3577 -0.000576 -0.000576 0.00002%
> 3677 0.001264 0.001264 0.00003%
> 3777 0.000852 0.000852 0.00002%
> 3877 0.0000006 0.0000006 0.00000002%
> 3977 -0.001507 -0.001507 0.00004%
> 4077 0.001232 0.001232 0.00003%
> 4177 -0.000286 -0.000286 0.000007%
> 4277 0.000917 0.000917 0.00002%
> 4377 -0.002211 -0.002211 0.00005%
> 4477 0.002692 0.002692 0.00006%
> 4577 -0.001231 -0.001231 0.00003%
> 4677 -0.000870 -0.000870 0.00002%
> 4777 -0.000094 -0.000094 0.000002%
> 4877 0.002107 0.002107 0.00004%
> 4977 -0.000611 -0.000611 0.00001%
> 5077 -0.002506 -0.002506 0.00005%
> 5177 0.001398 0.001398 0.00003%
> 5277 0.001138 0.001138 0.00002%
> 5377 -0.003928 -0.003928 0.00007%
> 5477 -0.003101 -0.003101 0.00006%
> 5577 0.000267 0.000267 0.000005%
> 5677 0.004662 0.004662 0.00008%
> 5777 0.001500 0.001500 0.00003%
> 5877 -0.003775 -0.003775 0.00006%
> 5977 -0.003191 -0.003191 0.00005%
> 6077 0.002984 0.002984 0.00005%
> 6177 -0.002049 -0.002049 0.00003%
> 6277 -0.0000002 -0.0000002 0.000000004%
> 6377 -0.000021 -0.000021 0.0000003%
> 6477 0.003158 0.003158 0.00005%
> 6577 0.000007 0.000007 0.0000001%
> 6677 0.003308 0.003308 0.00005%
> 6777 -0.000510 -0.000510 0.000008%
> 6877 -0.000888 -0.000888 0.00001%
> 6977 0.004775 0.004775 0.00007%
> 7077 -0.002302 -0.002302 0.00003%
> 7177 -0.000002 -0.000002 0.00000002%
> 7277 -0.000231 -0.000231 0.000003%
> 7377 0.000654 0.000654 0.000009%
> 7477 0.000001 0.000001 0.00000001%
> 7577 0.005089 0.005089 0.00007%
> 7677 -0.005683 -0.005683 0.00007%
> 7777 -0.003389 -0.003389 0.00004%
> 7877 0.002700 0.002700 0.00003%
> 7977 -0.000057 -0.000057 0.0000007%
> 8077 0.005586 0.005586 0.00007%
> 8177 -0.000073 -0.000073 0.0000009%
> 8277 -0.000061 -0.000061 0.0000007%
> 8377 -0.000047 -0.000047 0.0000006%
> 8477 -0.000036 -0.000036 0.0000004%
> 8577 0.000048 0.000048 0.0000006%
> 8677 0.000522 0.000522 0.000006%
> 8777 0.001497 0.001497 0.00002%
> 8877 -0.001889 -0.001889 0.00002%
> 8977 -0.000686 -0.000686 0.000008%
> 9077 -0.000122 -0.000122 0.000001%
> 9177 0.000015 0.000015 0.0000002%
> 9277 0.000018 0.000018 0.0000002%
> 9377 0.000016 0.000016 0.0000002%
> 9477 0.000025 0.000025 0.0000003%
> 9577 0.000014 0.000014 0.0000001%
> 9677 -0.000057 -0.000057 0.0000006%
> 9777 -0.006938 -0.006938 0.00007%
> 9877 -0.000254 -0.000254 0.000003%
> 9977 -0.006065 -0.006065 0.00006%
> 10077 0.000223 0.000224 0.000002%
> 10177 -0.001650 -0.001649 0.00002%
> 10277 -0.002336 -0.002333 0.00002%
> 10377 -0.003508 -0.003504 0.00003%
> 10477 -0.002951 -0.002943 0.00003%
> 10577 -0.009052 -0.009033 0.00009%
> 10677 -0.016155 -0.016103 0.0002%
> 10777 -0.033930 -0.033730 0.0003%
> 10799.9 0.030906 0.031053 0.0003%
> 10809.9 -0.004740 -0.004710 0.00004%
> 10819.9 -0.053332 -0.052944 0.0005%
> 10829.9 -0.045349 -0.044697 0.0004%
> 10839.9 0.017914 0.018492 0.0002%
> 10849.9 0.050200 0.050582 0.0005%
> 10859.9 -0.008830 -0.008770 0.00008%
> 10869.9 -0.095512 -0.094292 0.0009%
> 10879.9 -0.084826 -0.082574 0.0008%
> 10889.9 0.032391 0.034363 0.0003%
> 10899.9 0.097823 0.099181 0.0009%
> 10909.9 -0.021317 -0.021265 0.0002%
> 10919.9 -0.215293 -0.209273 0.002%
> 10929.9 -0.201380 -0.187387 0.002%
> 10939.9 0.089232 0.101829 0.0009%
> 10949.9 0.271897 0.280221 0.003%
> 75.1 -0.000610 -0.000446 0.0008%
> 76.1 -0.000839 -0.000727 0.001%
> 77.1 -0.000074 -0.000007 0.00010%
> 78.1 0.000027 0.002605 0.003%
> 79.1 -0.001448 -0.000981 0.002%
> 80.1 0.000925 0.001094 0.001%
> 81.1 -0.000640 -0.000496 0.0008%
> 82.1 -0.001425 0.000245 0.002%
> 83.1 0.000762 0.000948 0.001%
> 84.1 0.000480 0.002729 0.003%
> 85.1 0.000689 0.000793 0.0009%
> 86.1 0.000392 0.001423 0.002%
> 87.1 0.000989 0.001083 0.001%
> 88.1 0.000285 0.003533 0.004%
> 89.1 0.000106 0.000251 0.0003%
> 90.1 -0.001788 -0.001502 0.002%
> 91.1 0.000190 0.000558 0.0006%
> 92.1 0.000565 0.000698 0.0008%
> 93.1 -0.001467 -0.001359 0.002%
> 94.1 0.000159 0.003920 0.004%
> 95.1 -0.000935 -0.000746 0.0010%
> 96.1 0.000326 0.000464 0.0005%
> 97.1 0.000742 0.000839 0.0009%
> 98.1 -0.001988 -0.001858 0.002%
> 99.1 -0.001040 0.001344 0.001%
> 100.1 0.000462 0.004640 0.005%
> 101.1 0.000487 0.002366 0.002%
> 102.1 -0.000367 -0.000204 0.0004%
> 103.1 -0.000945 -0.000785 0.0009%
> 104.1 -0.001206 -0.001040 0.001%
> 105.1 -0.001198 -0.001107 0.001%
> 106.1 -0.001143 -0.001042 0.001%
> 107.1 -0.000907 -0.000752 0.0008%
> 108.1 -0.000279 -0.000130 0.0003%
> 109.1 0.000546 0.003215 0.003%
> 110.1 0.000695 0.005777 0.005%
> 111.1 -0.000522 0.002067 0.002%
> 112.1 -0.002649 -0.002392 0.002%
> 113.1 -0.000638 -0.000561 0.0006%
> 114.1 0.001899 0.002010 0.002%
> 115.1 -0.000798 -0.000694 0.0007%
> 116.1 -0.000789 -0.000554 0.0007%
> 117.1 0.000864 0.006389 0.005%
> 118.1 -0.002999 -0.002718 0.003%
> 119.1 0.001667 0.001754 0.001%
> 120.1 -0.001022 -0.000942 0.0009%
> 121.1 0.000481 0.003016 0.002%
> 122.1 -0.002000 -0.001690 0.002%
> 123.1 0.001580 0.001707 0.001%
> 124.1 -0.001518 -0.001450 0.001%
> 125.1 0.001173 0.007663 0.006%
> 126.1 -0.002416 -0.002300 0.002%
> 127.1 0.000094 0.000194 0.0002%
> 128.1 0.000765 0.006225 0.005%
> 129.1 -0.003286 -0.003146 0.003%
> 130.1 0.000103 0.000203 0.0002%
> 131.1 0.001111 0.008259 0.006%
> 132.1 -0.001633 -0.001551 0.001%
> 133.1 -0.001601 -0.001528 0.001%
> 134.1 0.000926 0.003257 0.002%
> 135.1 0.002557 0.002652 0.002%
> 136.1 0.000076 0.000385 0.0003%
> 137.1 -0.003301 -0.003181 0.002%
> 138.1 -0.001681 -0.001606 0.001%
> 139.1 -0.000810 -0.000113 0.0006%
> 140.1 0.001519 0.001623 0.001%
> 141.1 0.002003 0.009759 0.007%
> 142.1 0.002579 0.002698 0.002%
> 143.1 0.000594 0.005552 0.004%
> 144.1 0.000338 0.000416 0.0003%
> 145.1 -0.000677 -0.000287 0.0005%
> 146.1 -0.001857 -0.001778 0.001%
> 147.1 -0.001161 -0.000889 0.0008%
> 148.1 -0.002776 -0.002691 0.002%
> 149.1 -0.001233 -0.000987 0.0008%
> 150.1 -0.002477 -0.002385 0.002%
> 151.1 -0.000977 -0.000608 0.0006%
> 152.1 -0.000814 -0.000737 0.0005%
> 153.1 0.000114 0.001091 0.0007%
> 154.1 0.001885 0.002000 0.001%
> 155.1 0.001662 0.011533 0.007%
> 156.1 0.003208 0.003317 0.002%
> 157.1 0.003845 0.007768 0.005%
> 158.1 0.000433 0.000534 0.0003%
> 159.1 -0.003663 -0.003272 0.002%
> 160.1 -0.002043 -0.001965 0.001%
> 161.1 -0.003618 -0.003523 0.002%
> 162.1 0.000177 0.001569 0.0010%
> 163.1 0.003337 0.003518 0.002%
> 164.1 0.004452 0.007136 0.004%
> 165.1 -0.000960 -0.000868 0.0006%
> 166.1 -0.005897 -0.005816 0.004%
> 167.1 -0.000944 -0.000360 0.0006%
> 168.1 0.003487 0.003561 0.002%
> 169.1 0.004315 0.005784 0.003%
> 170.1 -0.001812 -0.001726 0.001%
> 171.1 -0.004042 -0.003960 0.002%
> 172.1 0.001159 0.012828 0.007%
> 173.1 0.002132 0.002228 0.001%
> 174.1 -0.005917 -0.005706 0.003%
> 175.1 -0.001084 -0.000632 0.0006%
> 176.1 0.003831 0.004032 0.002%
> 177.1 -0.000879 -0.000110 0.0005%
> 178.1 -0.001910 -0.001731 0.001%
> 179.1 0.003044 0.003142 0.002%
> 180.1 0.003137 0.004099 0.002%
> 181.1 -0.002151 -0.002025 0.001%
> 182.1 0.002494 0.002592 0.001%
> 183.1 0.003598 0.004610 0.003%
> 184.1 -0.002054 -0.001958 0.001%
> 185.1 0.003332 0.003457 0.002%
> 186.1 0.000293 0.001154 0.0006%
> 187.1 -0.001539 -0.001362 0.0008%
> 188.1 0.004320 0.004419 0.002%
> 189.1 -0.005646 -0.005361 0.003%
> 190.1 -0.000359 -0.000006 0.0002%
> 191.1 0.002358 0.002458 0.001%
> 192.1 -0.007491 -0.007427 0.004%
> 193.1 0.005083 0.019779 0.010%
> 194.1 -0.001699 -0.001598 0.0009%
> 195.1 0.000617 0.000715 0.0004%
> 196.1 0.003137 0.004300 0.002%
> 197.1 -0.001576 -0.001132 0.0008%
> 198.1 0.003896 0.004006 0.002%
> 199.1 -0.008554 -0.008519 0.004%
> 200.1 0.006495 0.021334 0.011%
> 201.1 -0.002099 -0.001997 0.001%
> 202.1 0.003367 0.003506 0.002%
> 203.1 -0.004690 -0.004336 0.002%
> 204.1 0.000148 0.004715 0.002%
> 205.1 -0.000276 -0.000168 0.0001%
> 206.1 -0.000657 -0.000559 0.0003%
> 207.1 0.001731 0.002564 0.001%
> 208.1 -0.001037 -0.000253 0.0005%
> 209.1 0.000968 0.001075 0.0005%
> 210.1 -0.002393 -0.002275 0.001%
> 211.1 0.003192 0.004161 0.002%
> 212.1 -0.001047 -0.000224 0.0005%
> 213.1 0.000493 0.000604 0.0003%
> 214.1 -0.000594 -0.000488 0.0003%
> 215.1 -0.001241 -0.000650 0.0006%
> 216.1 0.000107 0.005876 0.003%
> 217.1 -0.001302 -0.001189 0.0006%
> 218.1 0.003734 0.003816 0.002%
> 219.1 -0.009154 -0.009071 0.004%
> 220.1 0.008692 0.026109 0.012%
> 221.1 -0.002112 -0.002003 0.0010%
> 222.1 0.004857 0.004941 0.002%
> 223.1 -0.008306 -0.008262 0.004%
> 224.1 0.008942 0.010534 0.005%
> 225.1 -0.001074 -0.000192 0.0005%
> 277 -0.001272 -0.001124 0.0005%
> 377 0.003548 0.003716 0.0010%
> 477 0.135185 0.139978 0.029%
> 577 0.218853 0.222445 0.039%
> 677 -0.022917 -0.022863 0.003%
> 777 0.135385 0.135698 0.017%
> 877 0.003205 0.003333 0.0004%
> 977 0.004813 0.004844 0.0005%
> 1077 0.002093 0.002130 0.0002%
> 1177 -0.007323 -0.007303 0.0006%
> 1277 0.002957 0.003195 0.0003%
> 1377 0.046359 0.551415 0.040%
> 1477 0.003575 0.003624 0.0002%
> 1577 -0.014240 0.001370 0.0009%
> 1677 -0.004167 -0.003975 0.0002%
> 1777 -0.036001 -0.035793 0.002%
> 1877 -0.001517 0.000154 0.00008%
> 1977 0.002058 0.002278 0.0001%
> 2077 0.014617 0.014802 0.0007%
> 2177 2.868797 2.872151 0.132%
> 2187 3.773959 3.785120 0.173%
> 2197 2.746857 2.862942 0.130%
> 2207 -0.067435 0.001965 0.003%
> 2217 -0.008878 0.001762 0.0004%
> 2227 -0.005234 0.000592 0.0002%
> 2237 -0.004826 -0.000889 0.0002%
> 2247 -0.004057 -0.001112 0.0002%
> 2257 -0.003707 -0.001374 0.0002%
> 2267 -0.001800 0.000110 0.00008%
> 2277 -0.000884 0.000724 0.00004%
> 2377 -0.001147 -0.000727 0.00005%
> 2477 -0.005485 -0.005462 0.0002%
> 2577 -0.001439 -0.001111 0.00006%
> 2677 -0.373957 -0.373400 0.014%
> 2777 -0.013575 -0.000225 0.0005%
> 2877 -0.003316 -0.001315 0.0001%
> 2977 0.000160 0.000998 0.00003%
> 3077 0.000629 0.000959 0.00003%
> 3177 0.003579 0.003592 0.0001%
> 3277 0.002513 0.002781 0.00008%
> 3377 0.002575 0.003096 0.00009%
> 3477 -0.059191 -0.058391 0.002%
> 3577 -0.672647 -0.671773 0.019%
> 3677 -0.448188 -0.001351 0.012%
> 3777 -0.006544 0.000691 0.0002%
> 3877 -0.005744 -0.002413 0.0001%
> 3977 -0.002036 -0.000078 0.00005%
> 4077 -0.001432 -0.000200 0.00004%
> 4177 0.005451 0.006212 0.0001%
> 4277 -0.004989 -0.004567 0.0001%
> 4377 -0.003663 -0.003511 0.00008%
> 4477 -0.001606 -0.001531 0.00004%
> 4577 0.010145 0.010418 0.0002%
> 4677 -0.008751 -0.008294 0.0002%
> 4777 -0.005238 -0.004607 0.0001%
> 4877 0.004214 0.005039 0.0001%
> 4977 0.021746 0.022782 0.0005%
> 5077 0.002015 0.003282 0.00006%
> 5177 -0.180352 -0.178800 0.003%
> 5277 0.612989 0.614808 0.012%
> 5377 -0.848483 -0.847058 0.016%
> 219 -0.010321 -0.010291 0.005%
> 220 0.012450 0.024479 0.011%
> Pitch test finished OK 322.19657015800476
> ===== fon/resample16_8.praat
> Test skipped
> ===== fon/resample22_8.praat
> Test skipped
> ===== fon/resample24_8.praat
> Test skipped
> ===== fon/resample32_8.praat
> Test skipped
> ===== fon/resample44_8.praat
> Test skipped
> ===== fon/resample48_8.praat
> Test skipped
> ===== fon/resample96_8.praat
> Test skipped
> ===== fon/soundFiles.praat
> Sound files...
> Testing WAV files...
> 1 channels: 0.0008 seconds
> 2 channels: 0.0006 seconds
> 3 channels: 0.0006 seconds
> 4 channels: 0.0006 seconds
> 5 channels: 0.0024 seconds
> 6 channels: 0.0025 seconds
> 7 channels: 0.0024 seconds
> 8 channels: 0.0029 seconds
> Testing WAV files...
> 1 channels: 0.0006 seconds
> 2 channels: 0.0006 seconds
> 3 channels: 0.0006 seconds
> 4 channels: 0.0006 seconds
> 5 channels: 0.0028 seconds
> 6 channels: 0.0028 seconds
> 7 channels: 0.0028 seconds
> 8 channels: 0.0028 seconds
> Testing AIFF files...
> 1 channels: 0.0007 seconds
> 2 channels: 0.0008 seconds
> 3 channels: 0.0007 seconds
> 4 channels: 0.0007 seconds
> 5 channels: 0.0028 seconds
> 6 channels: 0.0028 seconds
> 7 channels: 0.0028 seconds
> 8 channels: 0.0028 seconds
> Testing AIFC files...
> 1 channels: 0.0006 seconds
> 2 channels: 0.0007 seconds
> 3 channels: 0.0007 seconds
> 4 channels: 0.0007 seconds
> 5 channels: 0.0029 seconds
> 6 channels: 0.0029 seconds
> 7 channels: 0.0028 seconds
> 8 channels: 0.0028 seconds
> Testing Next/Sun files...
> 1 channels: 0.0007 seconds
> 2 channels: 0.0009 seconds
> 3 channels: 0.0009 seconds
> 4 channels: 0.0009 seconds
> 5 channels: 0.0028 seconds
> 6 channels: 0.0028 seconds
> 7 channels: 0.0029 seconds
> 8 channels: 0.0028 seconds
> Testing NIST files...
> 1 channels: 0.0007 seconds
> 2 channels: 0.0007 seconds
> 3 channels: 0.0006 seconds
> 4 channels: 0.0006 seconds
> 5 channels: 0.0027 seconds
> 6 channels: 0.0027 seconds
> 7 channels: 0.0027 seconds
> 8 channels: 0.0027 seconds
> Testing Kay sound files...
> 1 channels: 0.0025 seconds
> 2 channels: 0.0025 seconds
> 3 channels: 0.0025 seconds
> 4 channels: 0.0025 seconds
> 5 channels: 0.0025 seconds
> 6 channels: 0.0025 seconds
> 7 channels: 0.0025 seconds
> 8 channels: 0.0025 seconds
> Testing FLAC files...
> 1 channels: 0.0024 seconds
> 2 channels: 0.0023 seconds
> 3 channels: 0.0024 seconds
> 4 channels: 0.0023 seconds
> 5 channels: 0.0024 seconds
> 6 channels: 0.0023 seconds
> 7 channels: 0.0023 seconds
> 8 channels: 0.0023 seconds
> Testing WAV files...
> 1 channels: 0.0045 seconds
> 2 channels: 0.0039 seconds
> 3 channels: 0.0038 seconds
> 4 channels: 0.0039 seconds
> 5 channels: 0.0260 seconds
> 6 channels: 0.0259 seconds
> 7 channels: 0.0256 seconds
> 8 channels: 0.0268 seconds
> Testing WAV files...
> 1 channels: 0.0040 seconds
> 2 channels: 0.0039 seconds
> 3 channels: 0.0038 seconds
> 4 channels: 0.0038 seconds
> 5 channels: 0.0254 seconds
> 6 channels: 0.0254 seconds
> 7 channels: 0.0266 seconds
> 8 channels: 0.0261 seconds
> Testing 24-bit WAV files...
> 1 channels: 0.0008 seconds
> 2 channels: 0.0005 seconds
> 3 channels: 0.0026 seconds
> 4 channels: 0.0026 seconds
> 5 channels: 0.0025 seconds
> 6 channels: 0.0025 seconds
> 7 channels: 0.0025 seconds
> 8 channels: 0.0026 seconds
> Testing 32-bit WAV files...
> 1 channels: 0.0003 seconds
> 2 channels: 0.0004 seconds
> 3 channels: 0.0025 seconds
> 4 channels: 0.0025 seconds
> 5 channels: 0.0025 seconds
> 6 channels: 0.0025 seconds
> 7 channels: 0.0025 seconds
> 8 channels: 0.0025 seconds
> Testing 32-bit WAV files...
> 1 channels: 0.0003 seconds
> 2 channels: 0.0004 seconds
> 3 channels: 0.0025 seconds
> 4 channels: 0.0025 seconds
> 5 channels: 0.0025 seconds
> 6 channels: 0.0025 seconds
> 7 channels: 0.0025 seconds
> 8 channels: 0.0025 seconds
> Optimized:
> Portable:
> OK
> ===== fon/stereoFormula.praat
> Stereo formulas
> 0.29915666648049144
> -0.051449695351821534
> 0.6497630283128044
> 0.29915666648049144 0.29915666648049144
> 0.29915666648049144 0.29915666648049144
> -0.051449695351821534 -0.051449695351821534
> 0.6497630283128044 0.6497630283128044
> 0.08884561286557596
> 0.14090486609443398
> 0.03678635963671795
> 0.08884561286557596 0.08884561286557596
> 0.08884561286557596 0.08884561286557596
> 0.14090486609443398 0.14090486609443398
> 0.03678635963671795 0.03678635963671795
> OK
> ===== fon/texio.praat
> texio
> OK
> ===== fon/textioSpeed.praat
> Text I/O speed:
> writing: 12.152 seconds
> reading: 4.499 seconds
> OK
> ===== gram/DBN.praat
> Training a DBN with a three-peaked distribution
> Trained in 0.016024112701416016 seconds
> -0.030572763559739268 -0.062394630962453665 -0.021871602327311345 -0.02406365622789894 -0.046478968380526064 -0.0375142003026736 -0.041375236398950896 -0.019292756869448625 -0.04150817517606412 -0.048576172316514295 -0.03136660408825858 -0.03187122546466419 -0.038349765767003274 -0.02186889489862722 -0.028129727093740037 -0.061088355635613566 -0.050179788202957945 -0.013612309829235917 -0.043802742445018916 0.0005848770998618199
> -0.03564818519405062 -0.049315926782264555 -0.000306139261861877 -0.009064427664395048 -0.06098241664034511 -0.043156317211362843 -0.0525823250252289 0.010798433347748286 -0.05091057792992868 -0.06107345481068024 -0.0346979383341096 -0.025450799972472113 -0.014265200917882467 -0.044868336070481143 -0.031216957017723146 -0.061499816419475085 -0.0601584310794873 -0.020312103196602052 -0.0392858282704144 0.013422278351667647
> -0.04956275995071305 -0.014619793534225508 0.04139231275506273 0.02336269240526849 -0.08783065329167264 -0.055515076904615136 -0.0626572113881745 0.06653596020044629 -0.06974404299408811 -0.086680696661084 -0.037172135902898654 -0.011240417928014241 0.03583520530621151 -0.0935179914984697 -0.03830858457524451 -0.054499962694178464 -0.0811210166473994 -0.04051707137698173 -0.023170601190733008 0.030297679628928192
> -0.08116763608846009 0.05845506071376141 0.10971766928131253 0.08047057724727863 -0.1307068659965124 -0.08328196910819743 -0.055626135816844266 0.15177805275599582 -0.10321925998665153 -0.12970438744449234 -0.02887831081837578 0.020161858294928347 0.11976546530946112 -0.17234131358891605 -0.051618130537456085 -0.028381279879903274 -0.11577506822709671 -0.08136783696258265 0.01646021375662458 0.041555181251026294
> -0.13629015311154347 0.1722654304663663 0.20109896876410382 0.1637318586075204 -0.18994954210548692 -0.136895897871154 -0.011521387142378912 0.25529525891644395 -0.15387135502788013 -0.18693654516461358 0.007086270309513571 0.07530137450555079 0.2315019778556577 -0.2583415026779739 -0.07349202421963229 0.027758600913224057 -0.1596100292406398 -0.13954211248043794 0.08864831233447922 0.029238709949617022
> -0.20755812512143404 0.29505610471229077 0.2945304108296956 0.2603386025490633 -0.2587158688295709 -0.21647635491417005 0.07409965904687106 0.3440697868547342 -0.2132196104891751 -0.2426674911059665 0.07940577165867252 0.14413050114349077 0.3442124891496214 -0.29317711091688725 -0.10506017412506605 0.1112108936649466 -0.2001848518602575 -0.19603360418854812 0.18704408585401094 -0.021300638529946393
> -0.2715569522175948 0.3707612528745378 0.3561937659716375 0.3397647531263773 -0.3213488233145646 -0.30115017561319074 0.1745334942854791 0.37352837226804947 -0.25562313326840175 -0.27267178731230735 0.16736911652127467 0.19827774144905214 0.4183735026158806 -0.2177861187059333 -0.14377332765029827 0.19922726625852077 -0.22424971279917177 -0.2244037539121676 0.2836367178834083 -0.10400916022252173
> -0.3014773270521829 0.36132072847101726 0.35747407836422185 0.36847373709941444 -0.3577604339251266 -0.35695566795880296 0.2448834419582271 0.3156633645033572 -0.24794912968545674 -0.25861740287478424 0.22638618682271275 0.2109691446068068 0.4252049120404957 -0.03404596799770136 -0.18077330880286727 0.26086830957147705 -0.22584473526934215 -0.20918493234633406 0.34018831801470883 -0.18882998559747946
> -0.28687545162428063 0.2773449232030169 0.29156388739976247 0.3353188109523158 -0.35097752854056297 -0.36131905598528624 0.2566224446981649 0.18210051205733574 -0.17519268682680128 -0.20094862787965162 0.22609879579283748 0.18117052603597067 0.36705677668764564 0.17492046575220624 -0.20356920104560333 0.27692452092785624 -0.20568184493795338 -0.1594370321176995 0.33040731315936434 -0.23898741933073636
> -0.2404986182637129 0.16340321163875102 0.17449611438545096 0.2623043838430849 -0.2920330016293937 -0.31736992124747354 0.21508085372996577 0.018473971661220688 -0.05678271565163719 -0.11648144948630822 0.17733072183995416 0.13768716490819533 0.27650761292920184 0.30648969425295797 -0.20816616678743527 0.24663968340214845 -0.16502211359524 -0.10513935519954519 0.2528840956965316 -0.23143226232917313
> -0.18296967853825538 0.062481487316445 0.03290993552565388 0.19106611484918384 -0.18198083347260333 -0.24034112820200287 0.14236794354948595 -0.12779581153496342 0.06850655477828221 -0.023557364564990337 0.11928363556807586 0.12096644667154959 0.19803123473086334 0.3259049628148689 -0.20857642799474663 0.1793856476862867 -0.10377739195801948 -0.07948763262032058 0.12676642262257068 -0.16421059599931148
> -0.12111281519709143 0.0002726765898684024 -0.10984066854603493 0.15720420760067122 -0.033830066098122405 -0.13546702055600446 0.051171118105253016 -0.2374631269089679 0.17316695989941794 0.06772926224744444 0.09027343862476592 0.15735779945106118 0.168340810945476 0.2838340441654751 -0.22455514291132198 0.08571265236162746 -0.022000017212063263 -0.10128562467028572 -0.021887440678409687 -0.05221411261895145
> -0.04565691812740536 -0.009539983290797124 -0.2389286185157187 0.1685233822107667 0.12567616786576297 -0.0010732864526553166 -0.05919487971293747 -0.3179425744507939 0.2504282500493318 0.15089918199893376 0.1101154611614638 0.23478871597279521 0.2005234806339134 0.25296294111437323 -0.24966814044448 -0.02469808860546561 0.07661098139035023 -0.16580642971002416 -0.17127099431942136 0.08064334411979818
> 0.046658678104697635 0.038441968603087025 -0.34144332029222696 0.1988661008633685 0.25815807740311636 0.14470933581890094 -0.18386688322200367 -0.3773488805592606 0.29741538540919915 0.21444905408163817 0.1754833990804518 0.29218273608715395 0.27221302624101984 0.26496922602858264 -0.23553005480948483 -0.13827927228968434 0.17469327962501602 -0.24190397267306082 -0.30343850581235154 0.20793833901428296
> 0.13364710220067802 0.1351036877208354 -0.3997418548096606 0.2026931349032634 0.3262040072866964 0.256466044808609 -0.2979273855745785 -0.4086838977535955 0.30676003139555547 0.24346226151286524 0.2611170324909267 0.25241787700502333 0.3293939253406255 0.30545301077367154 -0.13179893792067746 -0.23099090276080678 0.23753764920041465 -0.2781973514785995 -0.39709739030750496 0.3063216027841448
> 0.18002320950113793 0.24833129209592603 -0.39938579389476436 0.1470203752238832 0.3151166151107838 0.29521915260771486 -0.36610266974404904 -0.3966310891275175 0.28319157069961765 0.23185285534203823 0.3257708293892652 0.095616258686886 0.3150996653243335 0.3424977103180435 0.0451438778560033 -0.2735851116920694 0.23598578923899544 -0.22934528377720384 -0.4306604246836169 0.36247848937200183
> 0.17141375376764714 0.3256358367872458 -0.34336825738997456 0.04064243098912338 0.24561694940613 0.2639349211039987 -0.36535661651345225 -0.3294139758245277 0.2536940510381532 0.1920117400328462 0.324811398885576 -0.10513052886248975 0.20858101824656627 0.34457636479972964 0.20772577946552692 -0.2520358867841469 0.17808770996560977 -0.09380951490844398 -0.3969183596515124 0.37616582768390655
> 0.13115597963068024 0.317677950816662 -0.2500280390627626 -0.0726446953945046 0.16318263972135658 0.2028453148849685 -0.2967184912225795 -0.20541832892707987 0.2485006084526962 0.14974531931964233 0.23160412535772337 -0.24528573058550054 0.0417183831542158 0.2850443952893293 0.2806982192208126 -0.17982122341455486 0.10879606884635909 0.07608327965135941 -0.30819515976043 0.352585237512651
> 0.10364997002550302 0.21040015606984366 -0.13459576873293846 -0.15778883244456546 0.1130827908713088 0.15890619830150346 -0.1784374209934942 -0.03981937550029457 0.27475060053840533 0.12896537615465076 0.05958829976160041 -0.28049058533929117 -0.12906215359454032 0.15406514074365632 0.270294166857123 -0.08410198705860414 0.07628624897613817 0.21458631053332217 -0.18289485566452932 0.2900924832975436
> 0.12303722238748915 0.0362024331246065 -0.0025818751394396738 -0.21756873686805747 0.11851129996381582 0.16200236406015586 -0.032968531058570165 0.131633369564241 0.3051935726989805 0.1401420900238566 -0.13797959793698478 -0.240039364747373 -0.26874435441789113 -0.025125593074117582 0.23972171609327295 0.015782211855986883 0.10068121951724496 0.2944081316625806 -0.03480323414677631 0.17938981492746095
> 0.18950133412880274 -0.14517625585814367 0.13156206317211064 -0.27236934507658284 0.17019358245082242 0.21221253349291708 0.11551333690908823 0.26295244195419615 0.28627648873833483 0.17622032003656665 -0.297300823677295 -0.17110697997896737 -0.37355579696715596 -0.2000054660382603 0.2379104848421742 0.11013640704566585 0.16631794589340412 0.3317718335402094 0.11735856774306361 0.023447059212813922
> 0.267216435511995 -0.2771130298155083 0.23099922330835004 -0.3238092875796046 0.23236171747980844 0.27605786056247095 0.23589288721134916 0.3205595762755554 0.17558071449152496 0.21315890240484953 -0.3764711617415617 -0.10280431007658228 -0.44312326363141463 -0.3170647044359997 0.2636119268691766 0.18548075080630577 0.2337055237239808 0.3488978861334865 0.24015386416962867 -0.1405844992795745
> 0.309822826142579 -0.3299923257524074 0.2592208785743637 -0.3495246783978878 0.2655919124994362 0.30438610983348546 0.2967884380480134 0.3004939890812764 -0.0062922482577203774 0.2202235410981675 -0.36899094064981536 -0.052944934669072956 -0.4655771630559838 -0.3509181094526577 0.2836235440857524 0.22248415052755668 0.26286126334827353 0.34846899099650436 0.30120482290009604 -0.2525424773606859
> 0.29418044029406915 -0.3103011277843222 0.2148566480684598 -0.32891651021449525 0.2499769957180479 0.26927324172258504 0.286487529100779 0.22636665717084212 -0.17404903796028717 0.18073690691733932 -0.2994631270957069 -0.032577878865093876 -0.4326293095679536 -0.3123847067282294 0.2696743020843385 0.21037583433070167 0.23676108889477404 0.32158773744049685 0.29350660630560316 -0.27325765329704044
> 0.23108069370983156 -0.2502401583449966 0.13293180066079407 -0.2656917313942885 0.1914453154345873 0.18560964568971047 0.22227577839482884 0.13338707022273474 -0.24964974435787582 0.10581671593517308 -0.20762737998611625 -0.036214489028019714 -0.3546549925843608 -0.2347023648653849 0.21760419789893223 0.15707296957864292 0.16903902018511824 0.264886322172462 0.23598743843584014 -0.21571313896105782
> 0.1495973162028222 -0.18480630658956523 0.05446706142530207 -0.1853528681781635 0.11372991876518297 0.09395015425966458 0.1374789864587025 0.05237902834919318 -0.22739007841794448 0.026432050582420614 -0.12771588755481184 -0.045623439330539715 -0.2574711189470611 -0.15226101608672177 0.1438824367848116 0.08509060515444916 0.09046229266911864 0.18814195332228412 0.1561659339145425 -0.13035960300872793
> 0.07638214439279419 -0.13419906192021902 0.0014701223248870107 -0.11539851533377336 0.04382463865600509 0.02621139930164467 0.06158379399559793 -0.0004813286834899923 -0.15941573272059567 -0.029079992087296187 -0.0752300174578603 -0.048253669634857076 -0.16898863154275773 -0.0867582615780832 0.0725585183990731 0.01964716094137896 0.02697903945101046 0.11103432366754938 0.0783775906200145 -0.06300188444608422
> 0.024786936262850105 -0.10212655581408167 -0.02524655801030176 -0.06926288666883176 -0.0026478121296955267 -0.010477279557152176 0.009624750106695107 -0.026124816066673627 -0.09716263334102393 -0.052468434309385456 -0.048019197769243564 -0.04471064378232505 -0.10661044131957965 -0.044918856486961846 0.02107385828734 -0.024087799463611538 -0.012436318361542856 0.05144038405025887 0.019016457041464218 -0.028124582523590767
> -0.004914767695774901 -0.08419728344689843 -0.03505938797703577 -0.045319777209610904 -0.0258520203932671 -0.02555575330188732 -0.01776583947888299 -0.03526306683636579 -0.059959506030235324 -0.054165569320154344 -0.03636089827836576 -0.04056079019631851 -0.07227224308735135 -0.023097204157762324 -0.007488715098334949 -0.04597940723351394 -0.032259219912353886 0.015311117228602712 -0.01692672029438081 -0.015837726530171552
> -0.019185588652389854 -0.07514951623113807 -0.03724507395445015 -0.03537826154826295 -0.03439122431435495 -0.030524849723573007 -0.02836600108959434 -0.03787194633126507 -0.043365558136091144 -0.04871554898992123 -0.031850468432266764 -0.038441253232685435 -0.05754781790775953 -0.013748972432981302 -0.020186257982901527 -0.05439406651787604 -0.04062848574692033 -0.002271482071837558 -0.034300534906085936 -0.012632534155287619
>
> Test pattern #1:
> Energy in reflection: 1.0981536428182515
> Test pattern #2:
> Energy in reflection: 1.2219199577726252
> Test pattern #3:
> Energy in reflection: 1.1891819151687653
> Test pattern #4:
> Energy in reflection: 1.2097187201351887
> Test pattern #5:
> Energy in reflection: 1.2564216843852924
> Test pattern #6:
> Energy in reflection: 1.087059245677257
> Test pattern #7:
> Energy in reflection: 1.2176636075174554
> Test pattern #8:
> Energy in reflection: 1.2560529458214758
> Test pattern #9:
> Energy in reflection: 1.2536367071834036
> Test pattern #10:
> Energy in reflection: 1.2213267396705205
> Test pattern #11:
> Energy in reflection: 1.133655202645921
> Test pattern #12:
> Energy in reflection: 1.0119695525188404
> Test pattern #13:
> Energy in reflection: 1.2360502825637878
> Test pattern #14:
> Energy in reflection: 1.2269725419466633
> Test pattern #15:
> Energy in reflection: 1.2507328053933435
> ===== gram/OTGrammar.praat
> ===== kar/MacRoman.praat
> Test skipped
> ===== kar/cjk.praat
> ===== kar/unicode.praat
> Unicode
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> OK
> ===== kar/unicode16.praat
> Unicode
> 19 kanweg_abcåbçéü.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 19 kanweg_abcåbçéü.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 19 kanweg_abcåbçéü.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> 19 kanweg_abcåbçéü.txt
> 21 kanweg_abcåbçéü𝄐𝄑.txt
> OK
> ===== melder/melder_ftoa.cpp.praat
> melder/melder_ftoa.cpp.praat OK
> ===== num/alloc.praat
> alloc versus zero
> 1 0.0478026943 0.0296494772 0.341169523 0.0731524247 0.0425131843
> 2 0.0884596192 0.0581151494 0.687478118 0.133455855 0.0858383883
> 3 0.131103124 0.0879500684 1.03104808 0.195419281 0.127409753
> 4 0.174474783 0.117622262 1.37549733 0.254453153 0.1696471
> 5 0.213707251 0.1473578 1.57579893 0.311478263 0.211379816
> 6 0.249002774 0.17448923 1.4759835 0.366971637 0.24857629
> 7 0.28462387 0.204051683 1.54537517 0.414387182 0.296454866
> 8 0.321264745 0.23012751 1.53491327 0.47103195 0.328882477
> 9 0.360063146 0.258625057 1.51632391 0.516126694 0.365109384
> 10 0.392850158 0.266531779 1.53705072 0.545316778 0.382148037
> 11 0.419904473 0.303785077 1.54679887 0.570218583 0.416022754
> 12 0.452899506 0.334178066 1.52370484 0.614252789 0.456661875
> 13 0.48033117 0.361833348 1.63132504 0.644533201 0.493191737
> 14 0.517949074 0.392526233 1.73096439 0.678568508 0.53344947
> 15 0.542944403 0.415746467 1.74304941 0.711887675 0.573885533
> 16 0.569444988 0.33654048 1.79083045 0.748675365 0.445453812
> 17 0.596518695 0.35642798 1.52298544 0.770232651 0.464788943
> 18 0.62676327 0.276679803 1.5174746 0.798914249 0.33271194
> 19 0.562555019 0.386920694 1.53519187 0.848018138 0.352482727
> 20 0.678931659 0.254647805 1.52342874 0.881674935 0.303058837
> 21 0.712964661 0.26619827 1.52948248 0.904977627 0.318195942
> 22 0.737627907 0.326369096 1.49252715 0.943217551 0.392632792
> 23 0.756888591 0.340112238 1.92196221 0.961906735 0.412013569
> 24 0.78424466 0.495001627 1.6431471 0.999713333 0.662470154
> 25 0.809258137 0.528875999 1.93161278 1.04242569 0.69832906
> 26 0.823784701 0.546773537 1.95392705 1.05231065 0.71423946
> 27 0.852309404 0.568048513 1.95501995 1.06997444 0.750751737
> 28 0.870926293 0.586302935 1.96767402 0.831524739 0.770712397
> 29 0.879049518 0.595518574 1.96509411 1.13340995 0.804630397
> 30 0.926016648 0.43542307 1.96813843 1.13096581 0.531118994
> 31 0.91953952 0.455475926 1.96702885 1.18694162 0.544749089
> 32 0.957297667 0.482858722 1.74646236 1.20366871 0.585584006
> 33 0.983653801 0.498703962 1.54344059 1.23213178 0.609388593
> 34 0.989197135 0.465376055 1.65259841 1.2551756 0.563696261
> 35 1.00906987 0.478288116 1.2038057 1.25705802 0.578603919
> 36 1.02688022 0.463345071 1.53115477 1.28352171 0.550569336
> 37 1.04491774 0.475900312 1.52831213 1.31322202 0.571204811
> 38 1.08649097 0.779231178 1.52392172 1.32341203 0.990293653
> 39 1.11013176 0.788639404 1.55235198 1.35720289 1.03005963
> 40 1.116962 0.795807608 1.32504707 1.37495624 1.01979236
> 41 1.10679134 0.823250461 1.54417806 1.39567964 1.05530166
> 42 1.13608164 0.852586605 1.36293618 1.39800673 1.10315347
> 43 1.14940711 0.884407271 1.52976201 1.41222272 1.13725265
> 44 1.18778052 0.904565773 1.30039393 1.43042445 1.15313298
> 45 1.20508542 0.915745995 1.54060599 1.45196795 1.19230764
> 46 1.21225993 0.933788572 1.53659808 1.47385555 1.18036194
> 47 1.23608544 0.929625676 1.54133659 1.50375919 1.21401057
> 48 1.2210117 0.966739798 1.54725442 1.52000337 1.22863006
> 49 1.2058451 0.988124249 1.54372138 1.53541421 1.25977383
> 50 1.25106007 0.649092203 1.53138267 1.5472569 0.767821916
> 51 1.27354551 0.659159022 1.52998277 1.55085775 0.790138985
> 52 1.31284866 0.706858941 1.53513246 1.55252032 0.846800771
> 53 1.33512607 0.730994205 1.54111499 1.57905976 0.861623811
> 54 1.27941305 0.768876795 1.53817655 1.58550684 0.92788085
> 55 1.33798003 0.775315133 1.54156858 1.62104808 0.949946732
> 56 1.35610396 0.663874695 1.54725318 1.61188806 0.780029
> 57 1.38773483 0.677098997 1.55522627 1.62493791 0.795095871
> 58 1.38484654 1.17717786 1.54873521 1.66222197 1.50219717
> 59 1.4094667 1.19159379 1.53964136 1.64070216 1.52508581
> 60 1.41141004 1.2084497 1.53867978 1.70416351 1.55863516
> 61 1.44590909 1.22550565 1.53653995 1.69261223 1.55886906
> 62 1.4338982 1.22668917 1.53749839 1.67363458 1.59315365
> 63 1.15605959 1.22744427 1.53418187 1.72590725 1.60308049
> 64 1.16973088 1.26292614 1.54463578 1.72236531 1.64154201
> 65 1.46305979 1.28833389 1.53896669 1.73885818 1.64282629
> 66 1.47645023 1.2958168 1.53992723 1.74616978 1.66414054
> 67 1.50375859 1.34587455 1.53873485 1.76423128 1.69548203
> 68 1.51418069 1.34825308 1.53468003 1.31009855 1.70298449
> 69 1.53092984 1.38119949 1.5351323 1.33652682 1.73281904
> 70 1.52786675 1.42145925 1.54128534 1.40015349 1.76179267
> 71 1.55517312 1.43125811 1.535362 1.388336 1.79082956
> 72 1.55228614 1.40272137 1.54485346 1.41240475 1.77145633
> 73 1.58203635 1.44695718 1.53986885 1.41245825 1.79827421
> 74 1.58730692 1.48192764 1.54748369 1.81257554 1.79727463
> 75 1.57502573 1.49385387 1.45347524 1.85080466 1.88465222
> 76 1.59976879 1.51812429 1.37607408 1.86952253 1.98611317
> 77 1.59618671 1.54060599 1.37513518 1.87614055 1.97741729
> 78 1.58526714 1.61263401 1.37775509 1.87404486 2.03379712
> 79 1.64359684 1.59746145 1.40767042 1.88566955 2.03665863
> 80 1.63266018 1.60559813 1.41603781 1.86082697 2.03785055
> 81 1.6580792 1.62022527 1.4174165 1.91423356 2.05470884
> 82 1.63558589 1.66552692 1.44133899 1.93606742 2.08993794
> 83 1.65480616 1.04102053 1.41340243 1.91274704 1.23775946
> 84 1.66691129 1.07919264 1.45710689 1.93498902 1.26102107
> 85 1.69459897 1.07922548 1.45706312 1.93535525 1.28746452
> 86 1.70791656 1.12916987 1.39721559 1.96813922 1.33798057
> 87 1.70243321 1.14167475 1.43022734 1.96233026 1.35737369
> 88 1.67530379 1.25671628 1.56101477 1.94929153 1.49364003
> 89 1.70443898 1.27095647 1.49544816 1.96508782 1.52953229
> 90 1.71848232 1.29597695 1.44010294 1.57160514 1.51124155
> 91 1.69576284 1.29922864 1.53896669 1.58700662 1.53278022
> 92 1.70353716 1.84161529 1.54844716 1.59922173 2.29358497
> 93 1.76921146 1.87445013 1.54821513 1.97740305 2.36750373
> 94 1.50488515 1.89459997 1.54678618 2.01822029 2.39864201
> 95 1.52858986 1.90910228 1.64147531 1.70071272 2.39182123
> 96 1.54582138 1.92274556 1.5847794 1.72143532 2.42359711
> 97 1.5425222 1.92424284 1.61653901 1.73281228 2.484464
> 98 1.55833938 1.77715794 1.65421828 1.72440507 2.30100419
> 99 1.56661555 1.83021329 1.63692768 1.75193175 2.2312479
> 100 1.57384765 1.9681404 1.50172001 1.7593557 2.36006302
> 100 1.57924018 1.9639013 1.63056564 1.76053727 2.43727352
> 200 1.73368495 3.58947711 1.80245122 1.86289318 4.30494098
> 300 2.02016282 4.15479154 1.83548294 2.13818416 4.81932903
> 400 2.17490485 5.49784244 1.89607341 2.33744093 6.30153846
> 500 2.33431879 6.46869833 1.91311075 2.44081937 7.71011765
> 600 2.44072173 7.69283974 1.93563607 2.53928451 8.85773227
> 700 2.52139851 8.59797926 1.90035989 2.60131135 9.96932323
> 800 2.56548046 9.38953212 1.9187118 2.65176961 10.7518688
> 900 2.62190539 10.1531398 1.92786452 2.70266258 11.3358434
> 1000 2.662374 10.8464029 1.95120208 2.72392778 12.0768903
> 1100 2.69876742 11.4150369 1.95747238 2.76988612 12.7357564
> 1200 2.72470358 12.1042893 1.95185044 2.7847661 13.0536453
> 1300 2.74341721 12.3284428 1.95030748 2.80337961 13.6217481
> 1400 2.76599438 12.8015894 1.94951687 2.82696372 14.0213998
> 1500 2.77667146 13.1552214 1.98311167 2.8406154 14.446726
> 1600 2.80030979 13.7518164 1.96233929 2.8561825 14.6653986
> 1700 2.81517811 14.0834531 1.94800387 2.87500161 15.2455556
> 1800 2.82625822 13.9842767 1.90891423 2.8748866 15.6722144
> 1900 2.82645608 14.7526492 1.81747115 2.88438083 15.720308
> 2000 2.84745689 14.815627 1.9699892 2.89862059 15.9965828
> 2100 2.85661245 15.2159183 1.95967432 2.90650616 16.7205227
> 2200 2.86996823 15.4300389 1.9847071 2.91687618 16.6622351
> 2300 2.87798166 15.5027988 1.9743442 2.92699594 16.7205227
> 2400 2.86665726 15.9757444 1.98543363 2.9244302 17.0334399
> 2500 2.88367411 16.1567951 1.95538648 2.93945196 17.4254425
> 2600 2.8935055 16.3132486 1.97696735 2.93583664 17.2669256
> 2700 2.8870961 16.7205227 1.96536865 2.93211235 17.6049836
> 2800 2.90409299 16.9789501 1.97104887 2.94508475 17.2371586
> 2900 2.91268036 16.7490753 1.99427887 2.95745607 17.6365368
> 3000 2.9211427 16.9449882 1.70802499 2.95489648 17.9840676
> 3100 2.92233286 17.1713981 1.99631298 2.96657618 18.0432677
> 3200 2.85812879 16.9535327 1.9627066 2.95227986 18.1179438
> 3300 2.8245451 17.1458895 2.01184139 2.93895205 18.4752624
> 3400 2.9119297 17.6368896 1.95417591 2.95751523 18.6236782
> 3500 2.83423049 17.756538 1.98002752 2.96109452 18.3468691
> 3600 2.78483735 15.5014033 1.98200491 2.84010403 16.5801882
> 3700 2.70791959 14.9437401 1.96689032 2.72782558 16.0721099
> 3800 2.68978913 14.923065 1.97085174 2.73773014 15.9687024
> 3900 2.69528708 15.0597351 1.98088898 2.73518731 16.1499277
> 4000 2.60499596 15.0819993 1.96463722 2.79247936 16.5000157
> 4100 2.71525996 15.8933765 1.99356531 2.77692138 16.8919132
> 4200 2.7214243 13.6745802 1.89600067 2.76521981 14.1403922
> 4300 2.69628049 11.8721841 1.98675989 2.74068982 12.687611
> 4400 2.69245606 10.6447368 1.98305043 2.72022955 11.3078798
> 4500 2.70102697 9.86100299 1.98668146 2.73805874 10.1620658
> 4600 2.65216497 6.7950444 1.99312688 2.58830868 6.9655132
> 4700 2.66222461 6.81456812 1.97410723 2.65800556 6.92829439
> 4800 2.6570569 6.8255744 1.99127869 2.59426719 6.96732499
> 4900 2.66570847 6.83283292 1.97746735 2.61271657 6.95640663
> 5000 2.66677518 6.89739188 1.98801024 2.60273286 7.03742282
> 5100 2.66842304 6.86078592 1.97784049 2.60508654 7.0192973
> 5200 2.66870465 6.91075338 1.9935055 2.687343 6.9635335
> 5300 2.66616368 6.88883075 1.99161199 2.65703935 6.96088725
> 5400 2.67183393 6.93642392 1.98634257 2.66690497 7.00948774
> 5500 2.66566108 6.91033872 1.98517683 2.65570198 7.02140393
> 5600 2.67131333 6.898036 1.97588307 2.66553899 7.0298898
> 5700 2.66822426 6.91862936 1.9852205 2.68187596 7.0158629
> 5800 2.67148765 6.97251614 1.98043559 2.67080714 7.02624972
> 5900 2.67383536 6.98440366 1.98543103 2.67793476 7.01361733
> 6000 2.67403934 6.95525262 1.98017583 2.66570847 6.97028475
> 6100 2.66604565 6.99603469 2.00402542 2.69050635 7.01006887
> 6200 2.6744642 6.9656949 1.99569397 2.69388548 7.05835189
> 6300 2.67391895 6.96248893 1.98970729 2.69280619 7.07645475
> 6400 2.66999607 6.97548132 1.98389488 2.68659052 7.0850994
> 6500 2.66597515 7.04003645 1.97962594 2.69095476 7.06018809
> 6600 2.6665085 7.03671908 1.98752882 2.69235705 7.04617703
> 6700 2.67568223 7.0550127 2.0109324 2.68855021 7.05857584
> 6800 2.67131333 7.02871128 1.98957257 2.68999505 7.08333549
> 6900 2.68487552 7.00669521 2.00167402 2.69332504 7.11608193
> 7000 2.67267564 7.02517808 1.9798018 2.69587595 7.11941973
> 7100 2.6822939 7.00110506 1.98230041 2.69245606 7.08031378
> 7200 2.67783789 7.08762199 1.99905553 2.7002639 7.13345753
> 7300 2.67786468 7.04244218 1.97887904 2.69508236 7.10812547
> 7400 2.68159716 7.09511587 2.00029265 2.69538695 7.11558371
> 7500 2.67239527 7.08080956 1.99270799 2.69541391 7.14718838
> 7600 2.68497785 7.0723594 1.99002441 2.69377766 7.16422392
> 7700 2.66804931 7.00892673 1.97915069 2.69324708 7.15487127
> 7800 2.67859 7.11232191 1.99559225 2.70467288 7.15234691
> 7900 2.67558898 7.13338615 1.99998936 2.70023688 7.13338615
> 8000 2.6824661 7.12226864 1.98923595 2.69764857 7.1271096
> 8100 2.67609768 7.09850088 1.99030318 2.69866406 7.13474238
> 8200 2.68925105 7.08439066 1.99749507 2.70661226 7.18024044
> 8300 2.68064203 7.10776984 1.99507443 2.70085178 7.18945433
> 8400 2.68499922 7.06900401 1.98326692 2.7045712 7.12546954
> 8500 2.68551517 7.12546954 1.97588307 2.7096402 7.19146875
> 8600 2.68855155 7.0873383 1.98205508 2.70748135 7.12831951
> 8700 2.68645615 7.15975428 2.00763843 2.70972152 7.15608825
> 8800 2.69090093 7.12482893 1.99455895 2.70408992 7.20811728
> 8900 2.68895511 7.14396902 1.9846989 2.7092878 7.22150046
> 9000 2.68357088 7.15802111 1.99984959 2.7053829 7.21466466
> 9100 2.68163851 7.18351846 2.00443116 2.71288495 7.19832475
> 9200 2.6837099 7.12568103 1.98946687 2.7039702 7.11600104
> 9300 2.6883289 7.1569473 1.98996556 2.71004681 7.1925479
> 9400 2.69035335 7.14705396 1.99449505 2.7065111 7.17274079
> 9500 2.6915291 7.10231687 2.00400986 2.71137608 7.20609836
> 9600 2.67852236 7.13831683 1.98758578 2.70601656 7.19467842
> 9700 2.67919515 7.1571804 1.99663099 2.71653645 7.13160164
> 9800 2.68413974 7.17546856 1.99839193 2.70387352 7.19640625
> 9900 2.69011198 7.12155641 1.98979199 2.71203089 7.17393871
> 10000 2.68315251 7.13802587 1.99557712 2.70932369 7.21042462
> 10000 2.69107147 7.08138443 2.02878205 2.71072449 7.19434648
> 20000 2.61702377 7.15751536 2.01127074 2.72622944 7.34168388
> 30000 2.69131588 6.9811891 1.98809532 2.72651594 7.30748116
> 40000 2.57003922 6.49273065 1.73246758 2.73297974 6.86802685
> 50000 2.68813946 5.85878475 1.71883616 2.72711573 6.44781553
> 60000 2.51825112 5.80050928 1.94956449 2.73541565 6.21748293
> 70000 2.69742377 5.2680543 1.65501099 2.73817035 5.50381277
> 80000 2.47218201 5.11251097 1.79404765 2.72622944 5.32745332
> 90000 2.69790078 5.13871682 1.74015104 2.73613014 5.33364269
> 100000 2.43670714 4.80557287 2.01252531 2.71142543 4.95312234
> 110000 2.63307607 4.64106512 1.94307953 2.67497324 4.71644816
> 120000 2.32549921 4.46794308 2.01297489 2.63916027 4.53980307
> 130000 2.54903878 4.35245494 2.01134415 2.58788007 4.42874036
> 140000 2.22912804 4.28086885 1.84206167 2.56451878 4.41786391
> 150000 2.49675964 4.29495341 2.01346116 2.53579295 4.36126558
> 160000 2.18022929 4.11955403 2.0228254 2.51648093 4.21427081
> 170000 2.46797383 4.12568211 1.78334788 2.50763021 4.17989058
> 180000 2.11585272 4.08415556 2.00732909 2.51277516 4.12841615
> 190000 2.46753147 4.03777877 1.93988033 2.49998332 4.0879672
> 200000 2.05714062 3.99876442 1.93303715 2.48757725 4.10361413
> 210000 2.4068477 3.95092389 1.95051736 2.46195543 4.00404106
> 220000 2.02573956 3.91141763 2.02130213 2.47193771 3.97773825
> 230000 2.43066135 3.92002141 2.01220793 2.46503842 3.9401279
> 240000 1.98222714 3.80772685 2.01424848 2.46370292 3.88149641
> 250000 2.43784016 3.79678103 2.00473377 2.46419364 3.82134111
> 260000 2.00037283 3.72961241 2.0246103 2.46944303 3.78964093
> 270000 2.42947162 3.75424218 2.01534784 2.46912769 3.76267034
> 280000 1.9047349 3.7178165 2.01688809 2.46842296 3.76067513
> 290000 2.43212406 3.73180269 2.01186211 2.46812112 3.77334283
> 300000 1.88932613 3.65846781 1.90387939 2.46826426 3.72743354
> 310000 2.41482854 3.67265387 1.91281242 2.46519112 3.71528669
> 320000 2.09556765 3.63225628 2.01294125 2.46154503 3.67557382
> 330000 2.42700389 3.62651612 2.02248354 2.46211738 3.64082504
> 340000 2.12954879 3.55596195 1.74144507 2.46253647 3.64240245
> 350000 2.4334959 3.62566633 2.01313445 2.46177033 3.65370482
> 360000 2.12968891 3.58279593 1.92277672 2.46380824 3.61616417
> 370000 2.43172752 3.5975871 2.00522095 2.46665668 3.61185216
> 380000 1.99239019 3.56562756 2.03375165 2.46811933 3.60345422
> 390000 2.4242376 3.57406607 2.01659175 2.46649361 3.6109902
> 400000 1.98848149 3.54099114 2.01979389 2.46491772 3.57022812
> 410000 2.41709818 3.54478668 2.02880359 2.46812291 3.58201279
> 420000 1.94559312 3.52812405 2.02382501 2.46813942 3.5751325
> 430000 2.416924 3.5348672 2.0299323 2.46328186 3.5588252
> 440000 1.89175579 3.52529849 1.99258258 2.46244922 3.54716606
> 450000 2.42955998 3.48937896 2.02337051 2.46401671 3.5195465
> 460000 1.95271949 3.47844923 2.00997007 2.46243932 3.51404828
> 470000 2.41851846 3.48759734 2.00852848 2.46812022 3.51633233
> 480000 1.89012432 3.46338538 2.01467619 2.46844767 3.50498942
> 490000 2.42273837 3.45907424 1.93294988 2.46797834 3.49020796
> 500000 1.87832691 3.47815242 2.01368477 2.46245758 3.48682684
> 510000 2.42123232 3.46811211 2.03570277 2.46499307 3.48446551
> 520000 1.81649601 3.46921084 2.01633532 2.46694389 3.49260207
> 530000 2.42742418 3.46528624 2.03321444 2.46693343 3.49067959
> 540000 1.82917421 3.46142256 2.03101853 2.46693906 3.49645239
> 550000 2.42360413 3.45310683 2.02989879 2.46080417 3.46752481
> 560000 1.76758628 3.41952334 2.03764922 2.46130642 3.46432189
> 570000 2.4255673 3.45455213 2.01911698 2.4581351 3.46574621
> 580000 2.00698037 3.41304262 2.03382696 2.45829147 3.45236142
> 590000 2.42299919 3.43401819 2.02569476 2.45896347 3.43282727
> 600000 2.0291951 3.42363051 1.84474817 2.46602881 3.43443521
> 610000 2.42012457 3.43772313 2.01191365 2.4651576 3.43311029
> 620000 1.98641725 3.41941943 2.01459815 2.46212768 3.42166905
> 630000 2.41742942 3.42873467 2.00425631 2.46217995 3.4373578
> 640000 1.90668238 3.40798294 2.02064126 2.46090444 3.43121588
> 650000 2.41635925 3.41014543 1.79692697 2.46411569 3.42585775
> 660000 1.83846673 3.39494805 2.027421 2.46270148 3.4161752
> 670000 2.40450871 3.40716823 2.03467995 2.45752836 3.41693343
> 680000 1.79629196 3.39394595 2.01269087 2.45615883 3.42450893
> 690000 2.41560703 3.35878112 2.03848745 2.4567655 3.40392982
> 700000 1.84729582 3.37112927 2.03486036 2.45442045 3.38306002
> 710000 2.41605133 3.36139497 2.02110635 2.45546745 3.38211907
> 720000 1.63122472 3.33095923 2.02468723 2.45412799 3.37767233
> 730000 2.40492689 3.34965455 1.93439009 2.46037489 3.37350156
> 740000 1.7361217 3.3495936 1.74656759 2.44971189 3.37424356
> 750000 2.41094588 3.34706695 2.03172019 2.457157 3.37385232
> 760000 1.78304391 3.34137426 1.7339522 2.44496569 3.36525284
> 770000 2.4050744 3.34040415 2.01756307 2.45225063 3.35864191
> 780000 1.72816329 3.35229147 1.99191666 2.45796929 3.34031187
> 790000 2.40486282 3.31681698 1.83904546 2.44508682 3.32625079
> 800000 1.73065067 3.27200702 1.99590158 2.43899197 3.27626675
> 810000 2.39942528 3.22485642 1.99299154 2.43365777 3.24126529
> 820000 1.69745625 3.17427714 1.99102472 2.42604934 3.17525399
> 830000 2.3810355 3.13604593 1.97855773 2.41979077 3.12806199
> 840000 1.82610229 3.08610997 1.98034588 2.40253977 3.08832329
> 850000 2.37073766 3.09915777 1.97834548 2.40431257 3.10234494
> 860000 1.8629098 3.08443065 1.96747736 2.40896824 3.10664859
> 870000 2.35311814 3.11038274 1.97975286 2.40457014 3.11424387
> 880000 1.65805786 3.0995391 1.97715426 2.4038403 3.10760526
> 890000 2.33533732 3.10700939 1.97899832 2.40256487 3.11786152
> 900000 1.65439299 3.0870277 1.96785032 2.39826785 3.0907041
> 910000 2.34895479 3.07733342 1.95945205 2.39674514 3.08679065
> 920000 1.60527485 3.07986246 1.96035342 2.39778766 3.07691546
> 930000 2.3670749 3.07844899 1.96875926 2.39630343 3.08453481
> 940000 1.6949597 3.06582096 1.97973676 2.40229452 3.07394804
> 950000 2.35565403 3.030336 1.97374123 2.40267053 3.07737782
> 960000 1.62242398 3.0603723 1.96282141 2.39048435 3.07392308
> 970000 2.36291955 3.06776872 1.96630172 2.39688634 3.0636106
> 980000 1.71474612 3.06062392 1.96548459 2.39604659 3.06153577
> 990000 2.36669191 3.05928016 1.96813014 2.39480994 3.04603944
> 1000000 1.63031212 3.0413342 1.97630118 2.39688211 3.03692998
> ===== num/assign.praat
> 0.6153120994567871
> 0.7270700931549072
> ===== num/binomialQ.praat
> binomialQ
> OK
> ===== num/fisherQ.praat
> Test skipped
> ===== num/inner.praat
> inner...
> 1 0.137237255
> 2 0.243194723
> 3 0.382801638
> 4 0.486779227
> 5 0.614329508
> 6 0.675110109
> 7 0.768497181
> 8 0.833125564
> 9 0.900009218
> 10 0.963587576
> 11 1.02423254
> 12 1.07680991
> 13 1.10803295
> 14 1.17253982
> 15 1.19587137
> 16 1.27941043
> 17 1.30277692
> 18 1.30308461
> 19 1.43160055
> 20 1.4966508
> 21 1.44168815
> 22 1.53741675
> 23 1.53204829
> 24 1.56592669
> 25 1.57426116
> 26 1.6787755
> 27 1.64381915
> 28 1.58671978
> 29 1.59010632
> 30 1.74807079
> 31 1.73379221
> 32 1.61626475
> 33 1.66445257
> 34 1.75712953
> 35 1.77035305
> 36 1.79636762
> 37 1.78689319
> 38 1.78313267
> 39 1.86300034
> 40 1.77006968
> 41 1.82535614
> 42 1.86327357
> 43 1.90570456
> 44 1.87199728
> 45 1.92963976
> 46 1.94371509
> 47 1.97604926
> 48 1.87265749
> 49 1.95660848
> 50 1.97683211
> 51 1.99521608
> 52 2.00710235
> 53 2.04339986
> 54 2.04189729
> 55 2.0888999
> 56 2.02827156
> 57 2.12296611
> 58 2.08276935
> 59 2.06876819
> 60 2.08241805
> 61 2.15382969
> 62 2.10934371
> 63 2.12264418
> 64 1.74340617
> 65 1.75997521
> 66 1.80736709
> 67 1.79102125
> 68 1.82551503
> 69 1.87448178
> 70 1.85387644
> 71 1.91365096
> 72 1.81765054
> 73 1.8185501
> 74 1.89839861
> 75 1.84446851
> 76 1.91234247
> 77 1.88266851
> 78 1.86439157
> 79 1.86992657
> 80 2.00316357
> 81 2.04139984
> 82 2.01259259
> 83 2.04436599
> 84 2.03033339
> 85 2.05228794
> 86 2.09613412
> 87 2.07494952
> 88 1.92837909
> 89 1.9458243
> 90 1.98574175
> 91 2.02380897
> 92 2.07732295
> 93 2.11608941
> 94 2.03789855
> 95 2.08507824
> 96 2.01482491
> 97 2.01256231
> 98 2.1122011
> 99 1.95125653
> 100 2.02922374
> mean 1.70058459769 nanoseconds
> OK
> ===== num/mathFunctions.praat
> sqrt
> exp
> pow
> ln
> lnGamma
> OK
> ===== num/mean.praat
> Mean...
> 1 0.133673239
> 2 0.294237805
> 3 0.394626911
> 4 0.572852267
> 5 0.639884786
> 6 0.806672904
> 7 0.861156115
> 8 1.05516285
> 9 1.02546207
> 10 1.28751654
> 11 1.28049236
> 12 1.52297508
> 13 1.44583796
> 14 1.66129468
> 15 1.65341621
> 16 1.78974534
> 17 1.80072527
> 18 1.87716663
> 19 1.85770301
> 20 1.87645298
> 21 1.97262015
> 22 2.08163317
> 23 2.09533949
> 24 2.20634361
> 25 2.14675272
> 26 2.21788194
> 27 2.27858384
> 28 2.28070261
> 29 2.2587662
> 30 2.34317327
> 31 2.40026977
> 32 2.37383425
> 33 2.34176058
> 34 2.39022968
> 35 2.43344071
> 36 2.50080661
> 37 2.52857732
> 38 2.61738211
> 39 2.61725182
> 40 2.64571443
> 41 2.59067531
> 42 2.6548408
> 43 2.66289754
> 44 2.68052859
> 45 2.67142885
> 46 2.73134233
> 47 2.69084631
> 48 2.67265432
> 49 2.62619957
> 50 2.64005237
> 51 2.65753219
> 52 2.67722543
> 53 2.71142478
> 54 2.6315043
> 55 2.60200509
> 56 2.65098146
> 57 2.65399982
> 58 2.67601251
> 59 2.67838885
> 60 2.65554612
> 61 2.61950769
> 62 2.69388839
> 63 2.73942253
> 64 2.45869008
> 65 2.41447344
> 66 2.47292453
> 67 2.43991014
> 68 2.47212333
> 69 2.45906426
> 70 2.47764301
> 71 2.49021968
> 72 2.52621578
> 73 2.53588554
> 74 2.57977594
> 75 2.55278537
> 76 2.54906164
> 77 2.53152287
> 78 2.53705077
> 79 2.56700189
> 80 2.58633056
> 81 2.56364394
> 82 2.51666756
> 83 2.53338832
> 84 2.62674232
> 85 2.59828151
> 86 2.62970556
> 87 2.66972805
> 88 2.66589229
> 89 2.63025016
> 90 2.70401355
> 91 2.70988359
> 92 2.69388748
> 93 2.69913949
> 94 2.74205417
> 95 2.74596822
> 96 2.75755829
> 97 2.7470106
> 98 2.76901054
> 99 2.78087077
> 100 2.80300462
> mean 2.28074404297 nanoseconds
> 1 mean: -1.7763568394002505e-15 -1.7763568394002505e-15 -1.7763568394002505e-15 ; stdev: -8.881784197001252e-16 -8.881784197001252e-16 -8.881784197001252e-16
> 2 mean: 0 0 0 ; stdev: 6.217248937900877e-15 6.217248937900877e-15 6.217248937900877e-15
> 3 mean: 0 0 0 ; stdev: 0 0 0
> 4 mean: 0 0 0 ; stdev: 0 0 0
> 5 mean: 0 0 0 ; stdev: 0 0 0
> 6 mean: 0 0 0 ; stdev: 0 0 0
> 7 mean: 0 0 0 ; stdev: 0 0 0
> 8 mean: 0 0 0 ; stdev: 0 0 0
> 9 mean: 0 0 0 ; stdev: 0 0 0
> 10 mean: 0 0 0 ; stdev: 0 0 0
> 11 mean: 0 0 0 ; stdev: 0 0 0
> 12 mean: 0 0 0 ; stdev: 0 0 0
> 13 mean: 0 0 0 ; stdev: 0 0 0
> 14 mean: 0 0 0 ; stdev: 0 0 0
> 15 mean: 0 0 0 ; stdev: 0 0 0
> 16 mean: 0 0 0 ; stdev: 0.39045749756431025 0.39045749756431025 0.39045749756431025
> 17 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 18 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 19 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 20 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 21 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 22 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 23 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 24 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
> 25 mean: -4 -4 -4 ; stdev: -2.0000014285586736 -2.0000014285586736 -2.0000014285586736
>
> OFFSET
>
> Pairwise base case 64
> Power 1. Sawtooth: mean -1.7763568394002505e-15, stdev -8.881784197001252e-16. Line: mean 0, stdev -3.637978807091713e-12. Constant: mean 0, stdev 0
> Power 2. Sawtooth: mean 0, stdev 6.217248937900877e-15. Line: mean 0, stdev -3.637978807091713e-12. Constant: mean 0, stdev 0
> Power 3. Sawtooth: mean 0, stdev 0. Line: mean -7.275957614183426e-12, stdev -3.637978807091713e-12. Constant: mean 0, stdev 0
> Power 4. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 5. Sawtooth: mean 0, stdev 0. Line: mean 1.4551915228366852e-11, stdev 0. Constant: mean 0, stdev 0
> Power 6. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 7. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 8. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 9. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 10. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 11. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 12. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 13. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 14. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 15. Sawtooth: mean 0, stdev 0. Line: mean 0, stdev 0. Constant: mean 0, stdev 0
> Power 16. Sawtooth: mean 0, stdev 0.39045749756431025. Line: mean -1, stdev 2.598037099232897e-05. Constant: mean 0, stdev 0
> Power 17. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -1, stdev 0.0008746725252422038. Constant: mean 0, stdev 0
> Power 18. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -81, stdev 0.2254363480824395. Constant: mean 0, stdev 0
> Power 19. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -849, stdev 23.538021432759706. Constant: mean 0, stdev 0
> Power 20. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -849, stdev 739.8047302017658. Constant: mean 0, stdev 0
> Power 21. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -50001, stdev -28867.946471822343. Constant: mean 0, stdev 0
> Power 22. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -50001, stdev -28867.946471822343. Constant: mean 0, stdev 0
> Power 23. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -50001, stdev -28867.946471822343. Constant: mean 0, stdev 0
> Power 24. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -50001, stdev -28867.946471822343. Constant: mean 0, stdev 0
> Power 25. Sawtooth: mean -4, stdev -2.0000014285586736. Line: mean -50001, stdev -28867.946471822343. Constant: mean 0, stdev 0
>
> TIMING
> Baseline: 0.0004884126050620074 ns
> Pairwise base case 64 mean: 0.3376896331613902 ns
> Pairwise base case 64 stdev: 1.062408109243231 ns
>
> ONE PEAK
> Pairwise base case 64: -0.00019246874906250766 -0.00019246874906250766
>
> OK
> ===== num/min.praat
> min
> OK
> ===== num/mul.praat
> 0.5313398838043213
> 1.3314120769500732
> 0.5096561908721924
> ===== num/norm.praat
> norm
> OK
> ===== num/plusgets.praat
> 0.5577719211578369 5000005
> ===== num/sort.praat
> sort...
> 1 0
> 2 0.0844515677
> 3 0.128095564
> 4 0.156440837
> 5 0.176541423
> 6 0.192200286
> 7 0.197109643
> 8 0.199773473
> 9 0.195938001
> 10 0.202587473
> 11 0.20830638
> 12 0.212614803
> 13 0.216598475
> 14 0.220457753
> 15 0.223670032
> 16 0.227164562
> 17 0.18902704
> 18 0.190767169
> 19 0.191353037
> 20 0.19140511
> 21 0.192446948
> 22 0.193691155
> 23 0.194050858
> 24 0.194619229
> 25 0.192711006
> 26 0.19357463
> 27 0.193795373
> 28 0.194010376
> 29 0.194162813
> 30 0.194519959
> 31 0.194685648
> 32 0.195034377
> 33 0.195124145
> 34 0.195456146
> 35 0.195448779
> 36 0.195533677
> 37 0.195699707
> 38 0.195825447
> 39 0.196124511
> 40 0.196198728
> 41 0.196295143
> 42 0.196568681
> 43 0.196662781
> 44 0.196796575
> 45 0.196938668
> 46 0.197164886
> 47 0.197237447
> 48 0.197390759
> 49 0.197560017
> 50 0.197585514
> 51 0.197710621
> 52 0.197879711
> 53 0.197836962
> 54 0.198052791
> 55 0.198104277
> 56 0.198174394
> 57 0.198384779
> 58 0.198508884
> 59 0.198673632
> 60 0.198472759
> 61 0.198618275
> 62 0.198855292
> 63 0.198932152
> 64 0.199077652
> 65 0.199259558
> 66 0.198621442
> 67 0.198602583
> 68 0.199540678
> 69 0.19954853
> 70 0.1996976
> 10 0.203188387
> 100 0.201905365
> 1000 0.213481939
> 10000 0.220414917
> 100000 0.227545517
> 1000000 0.231308186
> 10000000 0.22811052
> 100000000 0.232372419
> mean 0.19199955976714286 nanoseconds
> OK
> ===== num/stdev.praat
> 0.9999919065479028
> 1 3.9722294953107204
> 2 3.9722294953107196
> 3 3.9722294953107298
> 4 3.9722294953108257
> 5 3.9722294953097577
> 6 3.972229495333092
> 7 3.9722294950559616
> 8 3.9722295005944392
> 9 3.9722294783690453
> 10 3.9722296638112735
> 11 3.972228634409517
> 12 3.9722160775667663
> 13 3.9716694824447822
> 14 3.9730640103336285
> 15 3.9830369485272583
> 16 3.6514837167011076
> 17 9.237604307034012
> 18 0
> 0.1 0.13240150542957332
> 0.01 0.0065212550623907
> 0.001 0.0012488888387421463
> 0.0001 8.918609685610148e-05
> 1e-05 4.1061390541725905e-06
> 1e-06 1.049645860349523e-06
> 1e-07 2.153937259553446e-08
> 1e-08 6.180300761069835e-09
> 1e-09 8.798644624302902e-10
> 1e-10 1.3239726402680068e-10
> 1e-11 7.04989732993048e-12
> 1e-12 9.621011578604932e-13
> 1e-13 3.99849356521034e-14
> 1e-14 1.0224505100198062e-14
> 1e-15 1.119436651690466e-15
> 1e-16 6.409875621278546e-17
> 1e-17 0
> 1e-18 0
> ===== num/sum.praat
> sum...
> 1 1
> 3 1.5
> 6 2
> 10 2.5
> 15 3
> 21 3.5
> 28 4
> 36 4.5
> 45 5
> 55 5.5
> 1 0.12917761
> 2 0.28114614
> 3 0.403681567
> 4 0.561747425
> 5 0.618529469
> 6 0.772982555
> 7 0.867122024
> 8 1.03078972
> 9 1.03389214
> 10 1.23686012
> 11 1.30832004
> 12 1.47996818
> 13 1.43560397
> 14 1.60261654
> 15 1.65584442
> 16 1.72419202
> 17 1.91779909
> 18 1.92488427
> 19 1.98035057
> 20 2.05896843
> 21 2.18050133
> 22 2.25134647
> 23 2.19582118
> 24 2.37942256
> 25 2.27453133
> 26 2.43077547
> 27 2.45313885
> 28 2.59733308
> 29 2.4902203
> 30 2.64955817
> 31 2.58966765
> 32 2.66638526
> 33 2.71502344
> 34 2.77309311
> 35 2.78574599
> 36 2.85478201
> 37 2.83366296
> 38 2.91076955
> 39 2.8988804
> 40 2.98106867
> 41 2.97787228
> 42 3.04683485
> 43 2.98946087
> 44 3.06390601
> 45 2.78373127
> 46 2.96040649
> 47 2.99985185
> 48 3.0170503
> 49 3.02525431
> 50 3.08062666
> 51 3.00481662
> 52 3.05251045
> 53 2.98669329
> 54 3.02966756
> 55 3.00994784
> 56 3.01876576
> 57 2.95342161
> 58 2.96956432
> 59 3.01741932
> 60 3.05959159
> 61 3.03416138
> 62 3.04998103
> 63 3.06551757
> 64 2.68839791
> 65 2.64439574
> 66 2.64977514
> 67 2.76764003
> 68 2.73815337
> 69 2.69186527
> 70 2.66198457
> 71 2.72665343
> 72 2.7232363
> 73 2.75908377
> 74 2.73068373
> 75 2.79219981
> 76 2.78635653
> 77 2.76548668
> 78 2.829095
> 79 2.78652241
> 80 2.76097266
> 81 2.77637729
> 82 2.82254598
> 83 2.83768904
> 84 2.84966188
> 85 2.82869353
> 86 2.89060825
> 87 2.86631196
> 88 2.89611714
> 89 2.87314421
> 90 2.89870043
> 91 2.93823678
> 92 2.91850619
> 93 2.94334834
> 94 2.95664803
> 95 2.96402418
> 96 2.9559607
> 97 2.92242989
> 98 2.97371306
> 99 2.97459927
> 100 2.98418652
> mean 2.4970726233000002 nanoseconds
> OK
> ===== script/RBM.praat
> Training two RBM's with a three-peaked distribution
> Trained in 0.5275158882141113 seconds
> Test pattern #1:
> Energy in input layer: 1.4715207119045892
> Energy in middle layer: 0.41909498318453514
> Energy in output layer: 0.4282313989459791
> Energy in middle layer: 0.31943783824895605
> Test pattern #2:
> Energy in input layer: 1.4715207119046374
> Energy in middle layer: 0.41587679840106134
> Energy in output layer: 0.42823560510831915
> Energy in middle layer: 0.31832242545457856
> Test pattern #3:
> Energy in input layer: 1.471526506430732
> Energy in middle layer: 0.41032816882078244
> Energy in output layer: 0.45392605194726815
> Energy in middle layer: 0.29396661646543143
> Test pattern #4:
> Energy in input layer: 1.4715207314610734
> Energy in middle layer: 0.39126283396555944
> Energy in output layer: 0.40871644706317045
> Energy in middle layer: 0.2774803226194801
> Test pattern #5:
> Energy in input layer: 1.4715227458536804
> Energy in middle layer: 0.4070601022655191
> Energy in output layer: 0.4501460558353001
> Energy in middle layer: 0.2927903730058695
> Test pattern #6:
> Energy in input layer: 1.471520711905089
> Energy in middle layer: 0.4095005782836098
> Energy in output layer: 0.40722471979276587
> Energy in middle layer: 0.30568197243286555
> Test pattern #7:
> Energy in input layer: 1.4715375848800383
> Energy in middle layer: 0.4129956167843197
> Energy in output layer: 0.4552864359380409
> Energy in middle layer: 0.294200967274913
> Test pattern #8:
> Energy in input layer: 1.47152071190459
> Energy in middle layer: 0.41798463458064666
> Energy in output layer: 0.4284920654381879
> Energy in middle layer: 0.3192782006566549
> Test pattern #9:
> Energy in input layer: 1.4715207240776451
> Energy in middle layer: 0.40698517623441693
> Energy in output layer: 0.42254890963407554
> Energy in middle layer: 0.2990538086668346
> Test pattern #10:
> Energy in input layer: 1.471526001758821
> Energy in middle layer: 0.4135893321140475
> Energy in output layer: 0.44661443317457405
> Energy in middle layer: 0.30973095534221434
> Test pattern #11:
> Energy in input layer: 1.4715360960870216
> Energy in middle layer: 0.41126130264764726
> Energy in output layer: 0.44748059470481333
> Energy in middle layer: 0.3096602720036997
> Test pattern #12:
> Energy in input layer: 1.4715207119046214
> Energy in middle layer: 0.4155324383538226
> Energy in output layer: 0.4111516017112337
> Energy in middle layer: 0.3157557303582834
> Test pattern #13:
> Energy in input layer: 1.471522405601133
> Energy in middle layer: 0.4066942440050445
> Energy in output layer: 0.4492800555349343
> Energy in middle layer: 0.29250813494405703
> Test pattern #14:
> Energy in input layer: 1.472426588908289
> Energy in middle layer: 0.40798644493273634
> Energy in output layer: 0.4308050887000754
> Energy in middle layer: 0.2837031939729786
> Test pattern #15:
> Energy in input layer: 1.4715207119046059
> Energy in middle layer: 0.41836830565182703
> Energy in output layer: 0.4226752820262497
> Energy in middle layer: 0.31863635061738954
> ===== script/RBMparallel.praat
> Training two RBM's with a three-peaked distribution
> Trained in 0.40781307220458984 seconds
> -0.03579557624553731 -0.011462237036063324 -0.05933398182758371 -0.018503824449188473 0.039330618811907234 -0.007103164484738592 -0.06974897858056668 0.021174269938377368 -0.021596558444941804 5.3583399933886726e-05 -0.10549760920300906 -0.021918459186348063 0.026432725873948508 -0.0172748562643048 0.0159802773914788 -0.01564213383251523 -0.07128015548210531 -0.016415464049244665 -0.006214057874808429 0.002624969999117009 -0.0026868452392110435 -0.01247485196174884 -0.04094983574243818 0.0011883370590952086 0.006949540697026999 -0.015919686916515807 -0.016142267768070442 -0.01618392572249557 -0.05063441433840375 -0.020695426008185417 0.011546439521210584 -0.006570427741112768 0.016908594244608263 -0.04779166683399229 -0.03524782023084888 0.003930321986741525 0.02612499132656948 0.04152158572933129 -0.010104246028006544 0.001876982594088564 -0.013190653950936751 0.018595934993957054 -0.024799519246617 -0.021733379715163596 -0.030421259636656112 -0.01765868106134247 0.012931431835231957 0.0038987726404457225 -0.07921672365979826 0.011945878918560998
> -0.07277316694648706 -0.057431089401640434 -0.11185234977477977 -0.0062800098234260205 0.08872258143126266 0.013309146954683578 -0.1362240256425493 0.08302686857909457 -0.033436739273991316 0.01867211531331821 -0.12839424358392398 -0.03850399021319842 0.048975111232803084 -0.01929263055196621 0.06300093783495204 -0.022901149435773392 -0.11555678307686017 -0.012741818360710332 -0.014089348512044816 -0.004073968632510757 0.019155393555535142 -0.012689138337351562 -0.045102792505157675 -0.01264045375123293 0.04230144255525253 -0.03897739712222927 -0.007608489733858559 -0.00010477065230875642 -0.08612263705515993 -0.04635190397464024 0.060430895749935855 0.019382225631503575 0.03739948892241636 -0.09207271046072879 -0.05552413631007492 -0.00026319776292365704 0.05552208921114497 0.0935711005376521 0.03502703246794694 -0.00658414636823818 0.013129228517898977 0.037953426966891086 -0.05430587607245586 0.007476739426068727 -0.003679053318652793 0.00148437833354417 0.04801598506275815 0.027991880134800924 -0.11850472039549094 0.0536217413428798
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> 0.3285230429747034 -0.4987121850454196 -0.14752231288777204 -0.03388402637296422 -0.5118238386114023 0.3687529225953278 0.0363366004493069 0.48337560919207906 0.27954616565897095 -0.08698739670678901 0.5458159425326465 -0.11674118300651473 0.013988036645145894 0.003913357804364532 0.15614016947827214 0.48954689332523565 -0.5294458447957353 -0.25031755670072847 0.40307230062223726 0.1461786918411451
> -0.132881213430756 0.09248299893443623 0.05786379665753776 0.00931122301671216 0.13339865290073855 -0.29135431835925657 -0.055797856695694724 -0.24300906698713587 -0.2423735591163215 0.05419202871013962 -0.2628704684224085 0.05101332168104956 -0.1080776867508336 -0.06366558300018134 -0.06944367685180038 -0.3265331580066062 0.1578921560436342 0.013604384953541711 -0.22459641182647305 -0.16353850527424207
> Test pattern #1:
> Energy in input layer: 1.4715207119046352
> Energy in middle layer: 0.41409523137287113
> Energy in output layer: 0.4196377898089732
> Energy in middle layer: 0.28944495157460515
> Energy in reflection: 1.021556793150396
> Test pattern #2:
> Energy in input layer: 1.4715281386323078
> Energy in middle layer: 0.4172580626143794
> Energy in output layer: 0.40234150183766
> Energy in middle layer: 0.2967048626837786
> Energy in reflection: 1.059026181159453
> Test pattern #3:
> Energy in input layer: 1.471520799329092
> Energy in middle layer: 0.4045475717906877
> Energy in output layer: 0.41487441684869125
> Energy in middle layer: 0.2822766095046415
> Energy in reflection: 1.030092017781469
> Test pattern #4:
> Energy in input layer: 1.4715207119046088
> Energy in middle layer: 0.41641379392215827
> Energy in output layer: 0.44095806417439387
> Energy in middle layer: 0.2991466782466628
> Energy in reflection: 1.0551452944921063
> Test pattern #5:
> Energy in input layer: 1.4715282072845237
> Energy in middle layer: 0.412297230218008
> Energy in output layer: 0.4337175230153313
> Energy in middle layer: 0.28901957717004595
> Energy in reflection: 1.0531650120899438
> Test pattern #6:
> Energy in input layer: 1.4715207119045988
> Energy in middle layer: 0.4211226260710671
> Energy in output layer: 0.4382179934968569
> Energy in middle layer: 0.29836343904650725
> Energy in reflection: 1.0521343690204275
> Test pattern #7:
> Energy in input layer: 1.4715227222775364
> Energy in middle layer: 0.41611701776376964
> Energy in output layer: 0.431718922150455
> Energy in middle layer: 0.2885518755007645
> Energy in reflection: 1.051404103460477
> Test pattern #8:
> Energy in input layer: 1.471520711904635
> Energy in middle layer: 0.41198436944125233
> Energy in output layer: 0.44212332483338224
> Energy in middle layer: 0.299368029612012
> Energy in reflection: 1.0560358705365578
> Test pattern #9:
> Energy in input layer: 1.4719228955154262
> Energy in middle layer: 0.41508412685820856
> Energy in output layer: 0.40172455946046665
> Energy in middle layer: 0.29578517458670245
> Energy in reflection: 1.0576356914368497
> Test pattern #10:
> Energy in input layer: 1.4715207119102511
> Energy in middle layer: 0.39125585821112674
> Energy in output layer: 0.32237520364205197
> Energy in middle layer: 0.23512396438854613
> Energy in reflection: 0.8399759946961405
> Test pattern #11:
> Energy in input layer: 1.4715225555699358
> Energy in middle layer: 0.4140764521618311
> Energy in output layer: 0.3936396838134868
> Energy in middle layer: 0.29377082232341395
> Energy in reflection: 1.0482829836320995
> Test pattern #12:
> Energy in input layer: 1.471531215807332
> Energy in middle layer: 0.411326757908998
> Energy in output layer: 0.43380105172785316
> Energy in middle layer: 0.28900041213725786
> Energy in reflection: 1.0531903559055866
> Test pattern #13:
> Energy in input layer: 1.4715207119046256
> Energy in middle layer: 0.4134551599538284
> Energy in output layer: 0.4035999355424639
> Energy in middle layer: 0.28231549752502455
> Energy in reflection: 0.9972350348888377
> Test pattern #14:
> Energy in input layer: 1.4715442447627485
> Energy in middle layer: 0.40937344561665967
> Energy in output layer: 0.4329050032169378
> Energy in middle layer: 0.2885914064605421
> Energy in reflection: 1.05207408438941
> Test pattern #15:
> Energy in input layer: 1.471520711904636
> Energy in middle layer: 0.4204224666723592
> Energy in output layer: 0.43269026314794384
> Energy in middle layer: 0.2963632502170499
> Energy in reflection: 1.0445403175725427
> ===== script/arithmetic.praat
> arithmetic
> OK
> ===== script/indexedVariables.praat
> arrays...
> 3
> 'a[3,5]', 0
> 3
> <paul>
> <silke>
> <paul silke>
> OK
> ===== script/procedures.praat
> Procedures
> hoi1
> hoi1
> hoi1
> hoi1
> hoi1
> hoi1
> hoi2
> hoi2
> hoi2
> hoi2
> hoi2
> ===== script/rectify.praat
> rectify...
> OK
> ===== script/script.praat
> script
> OK
> ===== script/softmax.praat
> 0.24472847105479764 0.09003057317038046 0.6652409557748218
> 0.24472847105479764 0.09003057317038046 0.6652409557748218
> 0.09003057317038046 0.6652409557748218 0.24472847105479764
> ===== script/tensor.praat
> vectors and matrices...
> 19.69500453758837 18.43714902818019 18.190041315399572
> 8.736189428958003 8.224100725875916 9.105730617072588
> 7 8 7
> 4.57 5.86 8.58 10 18.75
> 323.61292839050293 ns
> 133.29434394836426 ns
> 0.8006861209869385 ns
> mul##:
> 237068591062965 237068797523690 237072144788515 237095224496490 237195595296665 237523674394090 238407402703815 240477877014890 244844142566365 253325339437290 268748396152715 295319463907690 339077284811265 408436687552490 514830403890415 673457399370090 904145911666565
> 237076880124990 237077086604765 237080434178440 237103516015965 237203896077290 237532005446365 238415815297140 240486480649565 244853149073590 253335128499165 268759608290240 295333127740765 339094986150690 408460788639965 514864321858540 673505953750365 904215751529390
> 237090695228365 237090901739890 237094249828315 237117335215090 237217730711665 237545890533490 238429836286015 240500820040690 244868159918965 253351443602290 268778295186115 295355900795890 339124488383065 408500957119090 514920851805415 673586877717490 904332151300765
> 237110036373090 237110242929065 237113591738140 237136682093865 237237099199790 237565329655465 238449465670440 240520895188265 244889175102490 253374284746665 268804456840340 295387783073065 339165791508390 408557192989865 514999993731040 673700171271465 904495110980690
> 237134903559165 237135110172290 237138459907915 237161556652290 237262001541665 237590322812290 238474703450415 240546706092290 244916194624165 253403651932290 268838093252915 295428774572290 339218895526665 408629496252290 515101747635415 673845834412290 904704630569165
> 237165296786590 237165503469565 237168854337640 237191958890365 237292437737290 237620870003965 238505549625940 240578252752765 244949218483990 253439545159165 268879204423840 295478875293565 339283800437890 408717866906365 515226113518540 674023867139965 904960710066190
> 237201216055365 237201422820890 237204775027315 237227888808090 237328407786665 237656971230490 238542004197015 240615535169690 244988246681965 253481964427290 268927790353115 295538085236890 339360506242065 408822304952090 515373091380415 674234269454490 905263349471765
> 237242661365490 237242868226265 237246221976940 237269346405465 237369911689790 237698626491865 238584067163640 240658553343065 245033279218090 253530909736665 268983851040740 295606404402265 339449012939190 408942810389465 515542681221040 674477041355865 905612548785890
> 237289632716965 237289839685690 237293195186515 237316331682490 237416949446665 237745835788090 238631738525815 240707307272890 245084316092365 253586381087290 269047386486715 295683832789690 339549320529265 409079383218490 515734883040415 674752182844090 906008308008565
> 237342130109790 237342337199165 237345694656040 237368844639165 237469521057290 237798599119165 238685018283540 240761796959165 245141357304790 253648378479165 269118396691040 295770370399165 339661429012290 409232023439165 515949696838540 675059693919165 906450627139790
> 237400153543965 237400360766690 237403720385515 237426885275490 237527626521665 237856916485090 238743906436815 240822022401890 245204402855365 253716901912290 269196881653715 295866017230690 339785338388265 409400731051490 516187122615415 675399574581090 906939506179565
> 237463703019490 237463910388265 237467272374940 237490453591465 237591265839790 237920787885865 238808402985640 240887983601065 245273452744090 253791951386665 269282841374740 295970773284265 339921048657190 409585506055465 516447160371040 675771824829865 907474945127890
> 237532778536365 237532986063890 237536350624315 237559549587090 237660439011665 237990213321490 238878507930015 240959680556690 245348506970965 253873526902290 269376275854115 296084638559890 340068559819065 409786348451090 516729810105415 676176444665490 908056943984765
> 237607380094590 237607587793565 237610955133640 237634173262365 237735146037290 238065192791965 238954221269940 241037113268765 245429565535990 253961628459165 269477185091840 296207613057565 340227871873890 410003258238365 517035071818540 676613434087965 908685502750190
> 237687507694165 237687715577290 237691085902915 237714324617290 237815386916665 238145726297290 239035543005415 241120281737290 245516628439165 254056256057290 269585569087915 296339696777290 340398984821665 410236235417290 517362945510415 677082793097290 909360621424165
> 237773161335090 237773369415065 237776742932140 237800003651865 237901161649790 238231813837465 239122473136440 241209185962265 245609695680490 254157409696665 269701427842340 296480889719065 340581898662390 410485279987865 517713431181040 677584521693465 910082300006690
> 237864341017365 237864549306890 237867926221315 237891210366090 237992470236665 238323455412490 239215011663015 241303825943690 245708767259965 254265089377290 269824761355115 296631191882890 340776613396065 410750391950090 518086528830415 678118619876490 910850538497765
> 237961046740990 237961255252765 237964635770440 237987944759965 238089312677290 238420651022365 239313158585140 241404201681565 245813843177590 254379295099165 269955569626240 296790603268765 340983129022690 411031571303965 518482238458540 678685087646365 911665336897390
> 238063278505965 238063487252690 238066871579515 238090206833490 238191688971665 238523400667090 239416913902815 241510313175890 245924923433365 254500026862290 270093852655715 296959123876690 341201445542265 411328818049490 518900560065415 679283925003090 912526695205565
> 238171036312290 238171245306665 238174633648540 238197996586665 238299599119790 238631704346665 239526277616040 241622160426665 246042008027290 254627284666665 270239610443540 297136753706665 341431562954790 411642132186665 519341493651040 679915131946665 913434613422290
> mul_fast##
> 237068591062965 237068797523690 237072144788515 237095224496490 237195595296665 237523674394090 238407402703815 240477877014890 244844142566365 253325339437290 268748396152715 295319463907690 339077284811265 408436687552490 514830403890415 673457399370090 904145911666565
> 237076880124990 237077086604765 237080434178440 237103516015965 237203896077290 237532005446365 238415815297140 240486480649565 244853149073590 253335128499165 268759608290240 295333127740765 339094986150690 408460788639965 514864321858540 673505953750365 904215751529390
> 237090695228365 237090901739890 237094249828315 237117335215090 237217730711665 237545890533490 238429836286015 240500820040690 244868159918965 253351443602290 268778295186115 295355900795890 339124488383065 408500957119090 514920851805415 673586877717490 904332151300765
> 237110036373090 237110242929065 237113591738140 237136682093865 237237099199790 237565329655465 238449465670440 240520895188265 244889175102490 253374284746665 268804456840340 295387783073065 339165791508390 408557192989865 514999993731040 673700171271465 904495110980690
> 237134903559165 237135110172290 237138459907915 237161556652290 237262001541665 237590322812290 238474703450415 240546706092290 244916194624165 253403651932290 268838093252915 295428774572290 339218895526665 408629496252290 515101747635415 673845834412290 904704630569165
> 237165296786590 237165503469565 237168854337640 237191958890365 237292437737290 237620870003965 238505549625940 240578252752765 244949218483990 253439545159165 268879204423840 295478875293565 339283800437890 408717866906365 515226113518540 674023867139965 904960710066190
> 237201216055365 237201422820890 237204775027315 237227888808090 237328407786665 237656971230490 238542004197015 240615535169690 244988246681965 253481964427290 268927790353115 295538085236890 339360506242065 408822304952090 515373091380415 674234269454490 905263349471765
> 237242661365490 237242868226265 237246221976940 237269346405465 237369911689790 237698626491865 238584067163640 240658553343065 245033279218090 253530909736665 268983851040740 295606404402265 339449012939190 408942810389465 515542681221040 674477041355865 905612548785890
> 237289632716965 237289839685690 237293195186515 237316331682490 237416949446665 237745835788090 238631738525815 240707307272890 245084316092365 253586381087290 269047386486715 295683832789690 339549320529265 409079383218490 515734883040415 674752182844090 906008308008565
> 237342130109790 237342337199165 237345694656040 237368844639165 237469521057290 237798599119165 238685018283540 240761796959165 245141357304790 253648378479165 269118396691040 295770370399165 339661429012290 409232023439165 515949696838540 675059693919165 906450627139790
> 237400153543965 237400360766690 237403720385515 237426885275490 237527626521665 237856916485090 238743906436815 240822022401890 245204402855365 253716901912290 269196881653715 295866017230690 339785338388265 409400731051490 516187122615415 675399574581090 906939506179565
> 237463703019490 237463910388265 237467272374940 237490453591465 237591265839790 237920787885865 238808402985640 240887983601065 245273452744090 253791951386665 269282841374740 295970773284265 339921048657190 409585506055465 516447160371040 675771824829865 907474945127890
> 237532778536365 237532986063890 237536350624315 237559549587090 237660439011665 237990213321490 238878507930015 240959680556690 245348506970965 253873526902290 269376275854115 296084638559890 340068559819065 409786348451090 516729810105415 676176444665490 908056943984765
> 237607380094590 237607587793565 237610955133640 237634173262365 237735146037290 238065192791965 238954221269940 241037113268765 245429565535990 253961628459165 269477185091840 296207613057565 340227871873890 410003258238365 517035071818540 676613434087965 908685502750190
> 237687507694165 237687715577290 237691085902915 237714324617290 237815386916665 238145726297290 239035543005415 241120281737290 245516628439165 254056256057290 269585569087915 296339696777290 340398984821665 410236235417290 517362945510415 677082793097290 909360621424165
> 237773161335090 237773369415065 237776742932140 237800003651865 237901161649790 238231813837465 239122473136440 241209185962265 245609695680490 254157409696665 269701427842340 296480889719065 340581898662390 410485279987865 517713431181040 677584521693465 910082300006690
> 237864341017365 237864549306890 237867926221315 237891210366090 237992470236665 238323455412490 239215011663015 241303825943690 245708767259965 254265089377290 269824761355115 296631191882890 340776613396065 410750391950090 518086528830415 678118619876490 910850538497765
> 237961046740990 237961255252765 237964635770440 237987944759965 238089312677290 238420651022365 239313158585140 241404201681565 245813843177590 254379295099165 269955569626240 296790603268765 340983129022690 411031571303965 518482238458540 678685087646365 911665336897390
> 238063278505965 238063487252690 238066871579515 238090206833490 238191688971665 238523400667090 239416913902815 241510313175890 245924923433365 254500026862290 270093852655715 296959123876690 341201445542265 411328818049490 518900560065415 679283925003090 912526695205565
> 238171036312290 238171245306665 238174633648540 238197996586665 238299599119790 238631704346665 239526277616040 241622160426665 246042008027290 254627284666665 270239610443540 297136753706665 341431562954790 411642132186665 519341493651040 679915131946665 913434613422290
> mul_metal##
> 237068591062965 237068797523690 237072144788515 237095224496490 237195595296665 237523674394090 238407402703815 240477877014890 244844142566365 253325339437290 268748396152715 295319463907690 339077284811265 408436687552490 514830403890415 673457399370090 904145911666565
> 237076880124990 237077086604765 237080434178440 237103516015965 237203896077290 237532005446365 238415815297140 240486480649565 244853149073590 253335128499165 268759608290240 295333127740765 339094986150690 408460788639965 514864321858540 673505953750365 904215751529390
> 237090695228365 237090901739890 237094249828315 237117335215090 237217730711665 237545890533490 238429836286015 240500820040690 244868159918965 253351443602290 268778295186115 295355900795890 339124488383065 408500957119090 514920851805415 673586877717490 904332151300765
> 237110036373090 237110242929065 237113591738140 237136682093865 237237099199790 237565329655465 238449465670440 240520895188265 244889175102490 253374284746665 268804456840340 295387783073065 339165791508390 408557192989865 514999993731040 673700171271465 904495110980690
> 237134903559165 237135110172290 237138459907915 237161556652290 237262001541665 237590322812290 238474703450415 240546706092290 244916194624165 253403651932290 268838093252915 295428774572290 339218895526665 408629496252290 515101747635415 673845834412290 904704630569165
> 237165296786590 237165503469565 237168854337640 237191958890365 237292437737290 237620870003965 238505549625940 240578252752765 244949218483990 253439545159165 268879204423840 295478875293565 339283800437890 408717866906365 515226113518540 674023867139965 904960710066190
> 237201216055365 237201422820890 237204775027315 237227888808090 237328407786665 237656971230490 238542004197015 240615535169690 244988246681965 253481964427290 268927790353115 295538085236890 339360506242065 408822304952090 515373091380415 674234269454490 905263349471765
> 237242661365490 237242868226265 237246221976940 237269346405465 237369911689790 237698626491865 238584067163640 240658553343065 245033279218090 253530909736665 268983851040740 295606404402265 339449012939190 408942810389465 515542681221040 674477041355865 905612548785890
> 237289632716965 237289839685690 237293195186515 237316331682490 237416949446665 237745835788090 238631738525815 240707307272890 245084316092365 253586381087290 269047386486715 295683832789690 339549320529265 409079383218490 515734883040415 674752182844090 906008308008565
> 237342130109790 237342337199165 237345694656040 237368844639165 237469521057290 237798599119165 238685018283540 240761796959165 245141357304790 253648378479165 269118396691040 295770370399165 339661429012290 409232023439165 515949696838540 675059693919165 906450627139790
> 237400153543965 237400360766690 237403720385515 237426885275490 237527626521665 237856916485090 238743906436815 240822022401890 245204402855365 253716901912290 269196881653715 295866017230690 339785338388265 409400731051490 516187122615415 675399574581090 906939506179565
> 237463703019490 237463910388265 237467272374940 237490453591465 237591265839790 237920787885865 238808402985640 240887983601065 245273452744090 253791951386665 269282841374740 295970773284265 339921048657190 409585506055465 516447160371040 675771824829865 907474945127890
> 237532778536365 237532986063890 237536350624315 237559549587090 237660439011665 237990213321490 238878507930015 240959680556690 245348506970965 253873526902290 269376275854115 296084638559890 340068559819065 409786348451090 516729810105415 676176444665490 908056943984765
> 237607380094590 237607587793565 237610955133640 237634173262365 237735146037290 238065192791965 238954221269940 241037113268765 245429565535990 253961628459165 269477185091840 296207613057565 340227871873890 410003258238365 517035071818540 676613434087965 908685502750190
> 237687507694165 237687715577290 237691085902915 237714324617290 237815386916665 238145726297290 239035543005415 241120281737290 245516628439165 254056256057290 269585569087915 296339696777290 340398984821665 410236235417290 517362945510415 677082793097290 909360621424165
> 237773161335090 237773369415065 237776742932140 237800003651865 237901161649790 238231813837465 239122473136440 241209185962265 245609695680490 254157409696665 269701427842340 296480889719065 340581898662390 410485279987865 517713431181040 677584521693465 910082300006690
> 237864341017365 237864549306890 237867926221315 237891210366090 237992470236665 238323455412490 239215011663015 241303825943690 245708767259965 254265089377290 269824761355115 296631191882890 340776613396065 410750391950090 518086528830415 678118619876490 910850538497765
> 237961046740990 237961255252765 237964635770440 237987944759965 238089312677290 238420651022365 239313158585140 241404201681565 245813843177590 254379295099165 269955569626240 296790603268765 340983129022690 411031571303965 518482238458540 678685087646365 911665336897390
> 238063278505965 238063487252690 238066871579515 238090206833490 238191688971665 238523400667090 239416913902815 241510313175890 245924923433365 254500026862290 270093852655715 296959123876690 341201445542265 411328818049490 518900560065415 679283925003090 912526695205565
> 238171036312290 238171245306665 238174633648540 238197996586665 238299599119790 238631704346665 239526277616040 241622160426665 246042008027290 254627284666665 270239610443540 297136753706665 341431562954790 411642132186665 519341493651040 679915131946665 913434613422290
> 51 23 39 67
> 103 19 52 50
> 51 23 39 67
> 103 19 52 50
> OK
> ===== script/text100MB.praat
> Text 100 MB:
> creating: 1.280 seconds
> writing: 0.424 seconds
> reading: 0.537 seconds
> comparing: 0.638 seconds
> ===== script/undefined.praat
> ===== speed/sscp.praat
> 0.36191678047180176
> ===== speed/sum.praat
> sum...
> 1 1
> 3 1.5
> 6 2
> 10 2.5
> 15 3
> 21 3.5
> 28 4
> 36 4.5
> 45 5
> 55 5.5
> 1 0.129243726
> 2 0.281074923
> 3 0.403562713
> 4 0.562201461
> 5 0.61830243
> 6 0.771980967
> 7 0.865456254
> 8 1.02795018
> 9 1.03084291
> 10 1.23633877
> 11 1.30713761
> 12 1.48251048
> 13 1.43517169
> 14 1.60243898
> 15 1.65562872
> 16 1.75635723
> 17 1.8256819
> 18 1.93128351
> 19 1.97208219
> 20 2.05757455
> 21 2.18245283
> 22 2.24608997
> 23 2.18880831
> 24 2.3803273
> 25 2.274223
> 26 2.4343872
> 27 2.45020107
> 28 2.61322426
> 29 2.48880177
> 30 2.64838708
> 31 2.58832525
> 32 2.66034758
> 33 2.69179681
> 34 2.77661781
> 35 2.78963688
> 36 2.84964217
> 37 2.8302021
> 38 2.90385733
> 39 2.89551833
> 40 2.95342323
> 41 2.76441149
> 42 2.95656638
> 43 3.01468658
> 44 3.09004501
> 45 2.95779668
> 46 3.01221887
> 47 3.03528087
> 48 3.00858851
> 49 3.02645491
> 50 3.04016584
> 51 3.04201751
> 52 3.02335615
> 53 2.91443074
> 54 3.01022864
> 55 3.02837698
> 56 3.0352812
> 57 3.02004701
> 58 2.96948023
> 59 3.00597954
> 60 3.03001793
> 61 3.01577041
> 62 2.96226696
> 63 3.06955581
> 64 2.69084704
> 65 2.65576484
> 66 2.65146697
> 67 2.76120837
> 68 2.73813549
> 69 2.67314805
> 70 2.64683226
> 71 2.71465309
> 72 2.68248154
> 73 2.67859448
> 74 2.73036377
> 75 2.7872271
> 76 2.7908061
> 77 2.76488509
> 78 2.82796958
> 79 2.78854174
> 80 2.75261952
> 81 2.77838194
> 82 2.82055299
> 83 2.83557876
> 84 2.84763042
> 85 2.8597643
> 86 2.89343986
> 87 2.86048664
> 88 2.88175067
> 89 2.89302118
> 90 2.89980267
> 91 2.92098698
> 92 2.91613212
> 93 2.94101618
> 94 2.9556063
> 95 2.96435935
> 96 2.95902623
> 97 2.92432482
> 98 2.97415588
> 99 2.97407197
> 100 2.92294141
> mean 2.49190691424 Gflop/s
> OK
> ===== stat/PairDistribution.praat
> PairDistribution
> OK
> ===== stat/Table.praat
> 0.202 298
> OK
> ===== stat/TableOfReal.praat
> OK
> ===== stat/Table_addColumn.praat
> OK
> ===== stat/Table_removeColumn.praat
> OK
> ===== stat/Table_rowsToColumns.praat
> Table: Rows to columns
> OK
> ===== stat/Table_undefined.praat
> ===== stat/linearRegression.praat
> Linear regression
> Spec & Dur table
> OK
> ===== stat/logisticRegression.praat
> Logistic regression
> Spec & Dur table
> OK
> ===== sys/Formula.cpp.praat
> sys/Formula.cpp.praat OK
> ===== sys/colour.praat
> Segmentation fault
> ===== sys/graphics.praat
> Test skipped
> ===== sys/graphicsText.praat
> Test skipped
> ===== sys/graphicsTextSpeed.praat
> Test skipped
> ===== sys/localVariables.praat
> Local variables
> OK
> ===== sys/localVariables2.praat
> Local variables
> OK
> ===== sys/melder_ftoa.cpp.praat
> sys/melder_ftoa.cpp.praat OK
> ===== sys/object.praat
> object[]...
> 12.5 ns: 0
> 12.5 ns: 5
> 122.6 ns: 1/2 * sin(2*pi*377*x) + randomGauss(0,0.1)
> 27.8 ns: self + 5
> 28.0 ns: Sound_sineWithNoise[] + 5
> 28.0 ns: Object_1[] + 5
> 16.9 ns: self
> 27.8 ns: self [col]
> 39.7 ns: self [col] + 5
> 38.7 ns: Sound_sineWithNoise [col] + 5
> 38.7 ns: Object_1 [col] + 5
> 43.6 ns: object [x.Sound, col] + 5
> 16.9 ns: self
> 50.5 ns: Sound_sineWithNoise [row, col] + 5
> 50.5 ns: Object_1 [row, col] + 5
> 50.0 ns: self [row, col] + 5
> 55.4 ns: object [x.Sound, row, col] + 5
> 55.4 ns: object ["Sound sineWithNoise", row, col] + 5
> 55.4 ns: object [name$, row, col] + 5
> OK
> ===== sys/praat_statistics.cpp.praat
> sys/praat_statistics.cpp.praat OK
> ===== sys/progress.praat
> progress…
> With progress bar: 0.7042109966278076
> Without progress bar: 0.7166988849639893
> ===== sys/script2.praat
> Test skipped
> ===== ba-da-continuum.praat
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
>
> Warning:
> Nasal formants: one or more are missing.
> Nasal antiformants: one or more are missing.
> Tracheal formants: one or more are missing.
> Tracheal antiformants: one or more are missing.
> ===== discriminant_tableofreal_mahalanobis.praat
> For d=1 and 1-sigma: 6706 from 20000 overlap; diff = -120.9 (expect = 6826.9)
> For d=1 and 2-sigma: 16380 from 20000 overlap; diff = 8.1 (expect = 16371.9)
> For d=1 and 3-sigma: 19476 from 20000 overlap; diff = -42.0 (expect = 19518.0)
> For d=1 and 4-sigma: 19976 from 20000 overlap; diff = 3.6 (expect = 19972.4)
> For d=1 and 5-sigma: 19999 from 20000 overlap; diff = -0.4 (expect = 19999.4)
> For d=2 and 1-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=2 and 2-sigma: 9587 from 20000 overlap; diff = 42.0 (expect = 9545.0)
> For d=2 and 3-sigma: 16777 from 20000 overlap; diff = -22.9 (expect = 16799.9)
> For d=2 and 4-sigma: 19523 from 20000 overlap; diff = -21.4 (expect = 19544.4)
> For d=2 and 5-sigma: 19984 from 20000 overlap; diff = 11.0 (expect = 19973.0)
> For d=3 and 1-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=3 and 2-sigma: 2890 from 20000 overlap; diff = 171.9 (expect = 2718.1)
> For d=3 and 3-sigma: 10371 from 20000 overlap; diff = 398.0 (expect = 9973.0)
> For d=3 and 4-sigma: 16972 from 20000 overlap; diff = 145.7 (expect = 16826.3)
> For d=3 and 5-sigma: 19549 from 20000 overlap; diff = 4.0 (expect = 19545.0)
> For d=4 and 1-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=4 and 2-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=4 and 3-sigma: 3160 from 20000 overlap; diff = 13.9 (expect = 3146.1)
> For d=4 and 4-sigma: 9898 from 20000 overlap; diff = -101.4 (expect = 9999.4)
> For d=4 and 5-sigma: 16721 from 20000 overlap; diff = -105.9 (expect = 16826.9)
> For d=5 and 1-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=5 and 2-sigma: 0 from 20000 overlap; diff = 0 (expect = 0)
> For d=5 and 3-sigma: 402 from 20000 overlap; diff = -26.0 (expect = 428.0)
> For d=5 and 4-sigma: 2971 from 20000 overlap; diff = -201.5 (expect = 3172.5)
> For d=5 and 5-sigma: 9700 from 20000 overlap; diff = -300.0 (expect = 10000.0)
> ===== regexp_textgrid_test.praat
> ===== runAllTests.praat
> ===== speechsynthesizer_test.praat
> ===== test_ActivationList.praat
> test_ActivationList.praat
> Read old format from disk
> Read old format OK
> test_ActivationList.praat OK
> ===== test_Confusion.praat
> test_Confusion.praat
> ...2
> ...3
> test_Confusion.praat OK
> ===== test_Correlation.praat
> test_Correlation
> test_Correlation OK
> ===== test_Covariance.praat
> test_Covariance
> Morrison_example_7.3
> C^-1 = 0.9650537634408602
> Morrison_example_3.5
> test_Covariance OK
> ===== test_CrossCorrelationTable.praat
> test_CrossCorrelationTable.praat
> test_CrossCorrelationTable.praat OK
> ===== test_DTW.praat
> DTW_test start
> Slope constraint
> To Polygon...
> To Matrix
> test_DTW end O.K.
> ===== test_DataModeler.praat
> test_DataModeler.praat
> test_DataModeler.praat OK
> ===== test_Discriminant.praat
> ===== test_EditCostTable.praat
> test_EditCostTable
> Set values...
> Get values...
> test_EditCostTable OK
> ===== test_Eigen.praat
> test_Eigen.praat
> 1x1 diagonal
> 2x2 diagonal
> 3x3 diagonal
> 4x4 diagonal
> 5x5 diagonal
> 6x6 diagonal
> 7x7 diagonal
> 8x8 diagonal
> 9x9 diagonal
> 10x10 diagonal
> 2x2 symmetrical
> 3x3 symmetrical
> test_Eigen.praat OK
> ===== test_Electroglottogram.praat
> test_Electroglottogram.praat
> test_Electroglottogram.praat OK
> ===== test_FFNet.praat
> test_FFNet.praat
> interface test for topology 4-3
> Query & Modify
> number of layer(s): 1
> Extract
> interface test for topology 2-3-5
> Query & Modify
> number of layer(s): 2
> Extract
> interface test for topology 3-8-7-4
> Query & Modify
> number of layer(s): 3
> Extract
> test_FFNet.praat OK
> ===== test_FilterBank.praat
> test_FilterBank
> test FormantFilter
> test BarkFilter
> test MelFilter
> test_FilterBank OK
> ===== test_GaussianMixture.praat
> test_GaussianMixture.praat
> Interface
> Drawing
> Segmentation fault
> ===== test_HMM.praat
> test_HMM
> test_HMM OK
> ===== test_KlattGrid.praat
> test_KlattGrid.praat
> ... pitch
> ... voicing amplitude
> ... flutter
> ... power1
> ... power2
> ... open phase
> ... collision phase
> ... double pulsing
> ... spectral tilt
> ... aspiration amplitude
> ... breathiness amplitude
> ... oral formant frequency 1 2 3 4 5 6 7 8
> ... nasal formant frequency 1 2 3
> ... nasal antiformant frequency 1 2 3 4
> ... tracheal formant frequency 1 2 3 4
> ... tracheal antiformant frequency 1 2
> ... delta formant frequency 1 2
> ... frication formant frequency 1 2 3 4 5 6
> ... oral formant bandwidth 1 2 3 4 5 6 7 8
> ... nasal formant bandwidth 1 2 3
> ... nasal antiformant bandwidth 1 2 3 4
> ... tracheal formant bandwidth 1 2 3 4
> ... tracheal antiformant bandwidth 1 2
> ... delta formant bandwidth 1 2
> ... frication formant bandwidth 1 2 3 4 5 6
> test_KlattGrid.praat OK
> ===== test_KruskalWallis.praat
> test_KruskalWallis.praat
> 13.84438424492604 139 200 327
> test_KruskalWallis.praat OK
> ===== test_LPC.praat
> test_LPC
> test LPC interface
> Query
> Modify
> Extract
> Analyse
> auto deltaf = 0.0351 deltab = 1.0372 548 177 1504 53 2481 166 3061 2295 3515 331
> auto:robust deltaf = 0.0026 deltab = 0.1009 502 60 1498 94 2493 157 3525 310 5000 3146
> covar deltaf = 0.0351 deltab = 1.0372 548 177 1504 53 2481 166 3061 2295 3515 331
> covar:robust deltaf = 0.0026 deltab = 0.1009 502 60 1498 94 2493 157 3525 310 5000 3146
> burg deltaf = 0.0351 deltab = 1.0372 548 177 1504 53 2481 166 3061 2295 3515 331
> burg:robust deltaf = 0.0026 deltab = 0.1009 502 60 1498 94 2493 157 3525 310 5000 3146
> marple deltaf = 0.0351 deltab = 1.0372 548 177 1504 53 2481 166 3061 2295 3515 331
> marple:robust deltaf = 0.0026 deltab = 0.1009 502 60 1498 94 2493 157 3525 310 5000 3146
> test_LPC OK
> ===== test_LineSpectralFrequencies.praat
> test_LineSpectralFrequencies
> sampling frequency = 8000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 10000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 12000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 14000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 16000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 18000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 20000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 22000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> sampling frequency = 24000
> lpc order = 8
> lpc order = 9
> lpc order = 10
> lpc order = 11
> lpc order = 12
> lpc order = 13
> lpc order = 14
> lpc order = 15
> lpc order = 16
> lpc order = 17
> lpc order = 18
> lpc order = 19
> lpc order = 20
> test_LineSpectralFrequencies OK
> ===== test_Ltas_reportSpectralTilt.praat
> test_Ltas_reportSpectralTilt
> Slope difference = -0.004972620174383671 (slope [1] = 0)
> Rel. offset diff = -0.006073183321111633 (Offset [1] = 30.8)
> Slope difference = 0.8379073360160092 (slope [2] = -20)
> Rel. offset diff = 0.0005222385327544578 (Offset [2] = 95)
> Slope difference = -0.5117382388742238 (slope [1] = 0)
> Rel. offset diff = 0.04859064236662231 (Offset [1] = 30.8)
> Slope difference = 0.3572898544430956 (slope [2] = -20)
> Rel. offset diff = 0.01917990803833562 (Offset [2] = 95)
> Slope difference = 0.19385551936346804 (slope [1] = 0)
> Rel. offset diff = -0.03159181842483441 (Offset [1] = 30.8)
> Slope difference = 0.7963593338876898 (slope [2] = -20)
> Rel. offset diff = -0.00038874085672832874 (Offset [2] = 95)
> Slope difference = -0.02109238395100809 (slope [1] = 0)
> Rel. offset diff = -0.006165411763168935 (Offset [1] = 30.8)
> Slope difference = 0.6309198983598847 (slope [2] = -20)
> Rel. offset diff = 0.014404348378915023 (Offset [2] = 95)
> Slope difference = -0.24103490416788131 (slope [1] = 0)
> Rel. offset diff = 0.019646380744185395 (Offset [1] = 30.8)
> Slope difference = 0.6437945255948634 (slope [2] = -20)
> Rel. offset diff = -0.009731699709472326 (Offset [2] = 95)
> Slope difference = -0.10879888966005065 (slope [1] = 0)
> Rel. offset diff = 0.0010552516528776674 (Offset [1] = 30.8)
> Slope difference = 0.5571851291157977 (slope [2] = -20)
> Rel. offset diff = 0.013908414298236565 (Offset [2] = 95)
> Slope difference = 0.11861995860894953 (slope [1] = 0)
> Rel. offset diff = -0.023209862341216934 (Offset [1] = 30.8)
> Slope difference = 0.9321494151087109 (slope [2] = -20)
> Rel. offset diff = -0.0018830415351926634 (Offset [2] = 95)
> Slope difference = 0.2169449931457686 (slope [1] = 0)
> Rel. offset diff = -0.03892611782125005 (Offset [1] = 30.8)
> Slope difference = 0.843154657178502 (slope [2] = -20)
> Rel. offset diff = -0.00380924253460323 (Offset [2] = 95)
> Slope difference = -0.23113423243533873 (slope [1] = 0)
> Rel. offset diff = 0.017287855038307515 (Offset [1] = 30.8)
> Slope difference = 0.43161745882069624 (slope [2] = -20)
> Rel. offset diff = 0.021028922880213075 (Offset [2] = 95)
> Slope difference = -0.11838878259793478 (slope [1] = 0)
> Rel. offset diff = 0.0034460758543208925 (Offset [1] = 30.8)
> Slope difference = 0.40519541522042246 (slope [2] = -20)
> Rel. offset diff = 0.004448051611989216 (Offset [2] = 95)
> test_Ltas_reportSpectralTilt OK
> ===== test_MDS.praat
> test_MDS.praat
> test interface
> Query
> Modify: skipped
> Synthesize: skipped
> Extract part
> Extract
> Convert
> To Configuration
> Current 1: minimum = 0.0013938131408964343
> Dissimilarity & Configuration
> Current 1: minimum = 7.598653891446519e-07
> Configuration & Configuration
> test_MDS.praat OK
> ===== test_Matrix_solve.praat
> test_Matrix_solve.praat
> Number of iterations: 10 Difference squared: 2.191779076473106e-20
> underdetermined system
> A[3x3] * X[3x2] = B[3x2]
> nrow = 2, ncol = 3
> nrow = 1, ncol = 1
> nrow = 2, ncol = 1
> nrow = 3, ncol = 1
> nrow = 4, ncol = 1
> nrow = 10, ncol = 10
> nrow = 20, ncol = 10
> nrow = 30, ncol = 10
> nrow = 40, ncol = 10
> nrow = 100, ncol = 100
> nrow = 200, ncol = 100
> nrow = 300, ncol = 100
> nrow = 400, ncol = 100
> test_Matrix_solve.praat OK
> ===== test_MixingMatrix.praat
> ===== test_NMF.praat
> test_NMF.praat
> Simple interface test
> Iteration: 1, dnorm: 0.07845017323065819, delta: 0.00015907872754146254
> Iteration: 2, dnorm: 0.07845009411099366, delta: 0.00015826726974033483
> Iteration: 3, dnorm: 0.07845001583725827, delta: 0.0001574612811003583
> Iteration: 4, dnorm: 0.07844993839534879, delta: 0.00015666070778277567
> Iteration: 5, dnorm: 0.07844986177132662, delta: 0.00015586549663344535
> Iteration: 6, dnorm: 0.07844978595141916, delta: 0.00015507559519462963
> Iteration: 7, dnorm: 0.0784497109220198, delta: 0.00015429095171458457
> Iteration: 8, dnorm: 0.07844963666968857, delta: 0.00015351151515646417
> Iteration: 9, dnorm: 0.07844956318115347, delta: 0.00015273723520678155
> Iteration: 10, dnorm: 0.07844949044331061, delta: 0.00015196806228146722
> 52x10, aprox = 4 2-norm=40.79372491395274
> Iteration: 1, dnorm: 2.384185791015625e-08, delta: 2.1700664622213357e-09
> Iteration: 2, dnorm: 1.6858739404357613e-08, delta: 2.092716834639741e-09
> Iteration: 3, dnorm: 1.6858739404357613e-08, delta: 2.0180345639292853e-09
> Iteration: 4, dnorm: 1.6858739404357613e-08, delta: 1.9459276863982153e-09
> Iteration: 5, dnorm: 0, delta: 1.876307414226764e-09
> 2x10, aprox = 2 2-norm=3.154157913669056e-07
> Iteration: 1, dnorm: 0.13306427693751346, delta: 1.5707643249351246e-05
> Iteration: 2, dnorm: 0.13306427430936102, delta: 1.5492653094898207e-05
> Iteration: 3, dnorm: 0.1330642716741701, delta: 1.5281437922846526e-05
> Iteration: 4, dnorm: 0.13306426903131804, delta: 1.507394723417901e-05
> Iteration: 5, dnorm: 0.13306426638018612, delta: 1.4870131379902612e-05
> Iteration: 6, dnorm: 0.1330642637201586, delta: 1.466994155009379e-05
> Iteration: 7, dnorm: 0.13306426105062288, delta: 1.4473329762590652e-05
> Iteration: 8, dnorm: 0.13306425837096944, delta: 1.4280248851895842e-05
> Iteration: 9, dnorm: 0.13306425568059183, delta: 1.4090652458591189e-05
> Iteration: 10, dnorm: 0.13306425297888566, delta: 1.3904495018285827e-05
> 21x10, aprox = 2 2-norm=27.94349257476411
> Iteration: 1, dnorm: 0.07593724121175582, delta: 0.0014059498505876343
> Iteration: 2, dnorm: 0.07593668676983682, delta: 0.0014865257110627443
> Iteration: 3, dnorm: 0.0759361178240881, delta: 0.001567477179467565
> Iteration: 4, dnorm: 0.07593553520698723, delta: 0.0016481581823734627
> Iteration: 5, dnorm: 0.07593493997287219, delta: 0.001727864871349712
> Iteration: 6, dnorm: 0.07593433339665248, delta: 0.0018058455715283985
> Iteration: 7, dnorm: 0.07593371696611381, delta: 0.0018813135519364851
> Iteration: 8, dnorm: 0.07593309236736431, delta: 0.001953462426036777
> Iteration: 9, dnorm: 0.07593246146327884, delta: 0.00202148380811396
> Iteration: 10, dnorm: 0.0759318262651604, delta: 0.0020845866677771637
> 83x10, aprox = 2 2-norm=63.0229579787818
> Iteration: 1, dnorm: 0.18551306695654918, delta: 9.607613134313885e-10
> Iteration: 2, dnorm: 0.18551306695654943, delta: 9.279173291906434e-10
> 10x10, aprox = 2 2-norm=18.55130669565494
> Iteration: 1, dnorm: 0.1307831013559209, delta: 7.913952389983638e-12
> Iteration: 2, dnorm: 0.1307831013559209, delta: 5.445943412019155e-12
> 34x10, aprox = 1 2-norm=44.46625446101311
> Iteration: 1, dnorm: 0.08634171231086869, delta: 3.7742682180934535e-12
> Iteration: 2, dnorm: 0.08634171231086861, delta: 1.6002175812556522e-12
> 79x10, aprox = 1 2-norm=68.20995272558623
> Iteration: 1, dnorm: 0.11978895348894283, delta: 6.834886182292803e-06
> Iteration: 2, dnorm: 0.11978895338071459, delta: 6.756077038074519e-06
> Iteration: 3, dnorm: 0.11978895327461199, delta: 6.679164730406097e-06
> Iteration: 4, dnorm: 0.11978895317059216, delta: 6.6055331211248085e-06
> Iteration: 5, dnorm: 0.11978895306861256, delta: 6.532750605963617e-06
> Iteration: 6, dnorm: 0.11978895296863215, delta: 6.460806913179882e-06
> Iteration: 7, dnorm: 0.11978895287061005, delta: 6.389691901999805e-06
> Iteration: 8, dnorm: 0.11978895277450724, delta: 6.319395560516775e-06
> Iteration: 9, dnorm: 0.1197889526802843, delta: 6.249908004730428e-06
> Iteration: 10, dnorm: 0.1197889525879037, delta: 6.181219475685222e-06
> 31x10, aprox = 2 2-norm=37.13457528028965
> Iteration: 1, dnorm: 0.09562526781751467, delta: 4.6085290474813355e-05
> Iteration: 2, dnorm: 0.09562526553983586, delta: 4.57389733009138e-05
> Iteration: 3, dnorm: 0.09562526329294047, delta: 4.539553736775767e-05
> Iteration: 4, dnorm: 0.09562526107640375, delta: 4.5054954746601026e-05
> Iteration: 5, dnorm: 0.09562525888980637, delta: 4.471719781156615e-05
> Iteration: 6, dnorm: 0.09562525673273567, delta: 4.438223923734783e-05
> Iteration: 7, dnorm: 0.0956252546047845, delta: 4.4050051996862125e-05
> Iteration: 8, dnorm: 0.09562525250555168, delta: 4.372060935891682e-05
> Iteration: 9, dnorm: 0.0956252504346415, delta: 4.339388488567229e-05
> Iteration: 10, dnorm: 0.09562524839166431, delta: 4.3069852430165704e-05
> 51x10, aprox = 2 2-norm=48.768876001718915
> Iteration: 1, dnorm: 0.18528246441746854, delta: 1.808033716137202e-05
> Iteration: 2, dnorm: 0.18528246343679658, delta: 1.7773391275831363e-05
> Iteration: 3, dnorm: 0.18528246248913885, delta: 1.7471659684709148e-05
> Iteration: 4, dnorm: 0.1852824615733825, delta: 1.717505369602658e-05
> Iteration: 5, dnorm: 0.18528246068845405, delta: 1.6883486130747525e-05
> Iteration: 6, dnorm: 0.1852824598333151, delta: 1.6596871295907834e-05
> Iteration: 7, dnorm: 0.18528245900696305, delta: 1.631512495985758e-05
> Iteration: 8, dnorm: 0.18528245820842795, delta: 1.603816432679967e-05
> Iteration: 9, dnorm: 0.1852824574367734, delta: 1.576590801263663e-05
> Iteration: 10, dnorm: 0.1852824566910942, delta: 1.54982760197112e-05
> 12x10, aprox = 2 2-norm=22.233894764622423
> Diagonals
> 2x2, aprox = 1 2-norm=1.4225535650152654
> 3x3, aprox = 2 2-norm=4.449159447360886
> 4x4, aprox = 3 2-norm=2.3199559908234413
> 5x5, aprox = 4 2-norm=0.4227680172701964
> 6x6, aprox = 5 2-norm=0.3825706214914337
> 7x7, aprox = 6 2-norm=0.8479375686128021
> 8x8, aprox = 7 2-norm=1.104749393751605
> 9x9, aprox = 8 2-norm=0.06857965947249078
> 10x10, aprox = 9 2-norm=0.9501855266758186
> 11x11, aprox = 10 2-norm=0.7217442869791557
> test_NMF.praat OK
> ===== test_OnewayAnova.praat
> test_OnewayAnova.praat
> test_OnewayAnova.praat OK
> ===== test_PCA.praat
> test_PCA
> ... eigenvalues
> ... fraction variance accounted for
> ... centroid at (0,)
> ...eigenvectors othogonal
> test_PCA OK
> ===== test_PatternList.praat
> test_PatternList.praat
> Read old format from disk
> Read old format OK
> test_PatternList.praat OK
> ===== test_Permutation.praat
> test_Permutation.praat
> test_600_12o.k.
> Rotate
> 1. o.k.
> 2.. o.k.
> 3... o.k.
> 4.... o.k.
> 5..... o.k.
> 6...... o.k.
> 7....... o.k.
> 8........ o.k.
> 9......... o.k.
> 10.......... o.k.
> 11........... o.k.
> 12............ o.k.
> 13............. o.k.
> 14.............. o.k.
> 15............... o.k.
> 16................ o.k.
> 17................. o.k.
> 18.................. o.k.
> 19................... o.k.
> 20.................... o.k.
> Sequences.......................o.k.
> Swap positions....................................................................................................o.k.
> Invert....................o.k.
> Multiply......o.k.
> Jump..o.k.
> test_Permutation OK
> ===== test_Polygon_getLocationOfPoint.praat
> ... x left
> ... x right
> ... y top
> ... y bottom
> ... vertices
> ... edges
> ... inside
> ... outside
> ===== test_Polygon_simplify.praat
> test_Polygon_simplify
> test_Polygon_simplify OK
> ===== test_Polynomial.praat
> test_Polynomial.praat
> roots
> 1: 18 random roots in [-2,1.9080272552022763]
> 2: 3 random roots in [-2,1.240937165728645]
> 3: 9 random roots in [-2,1.1645001732589257]
> 4: 14 random roots in [-2,1.272811475585855]
> 5: 12 random roots in [-2,1.6832708841815343]
> 6: 17 random roots in [-2,1.0926577463017466]
> 7: 17 random roots in [-2,1.7651697476515527]
> 8: 17 random roots in [-2,1.2246326302891193]
> 9: 3 random roots in [-2,1.2424120891677104]
> 10: 7 random roots in [-2,1.9335238122226437]
> 11: 8 random roots in [-2,1.9265566114877588]
> 12: 4 random roots in [-2,1.131316348997358]
> 13: 5 random roots in [-2,1.1292891532361262]
> 14: 7 random roots in [-2,1.1994158173408853]
> 15: 9 random roots in [-2,1.130399740772631]
> 16: 18 random roots in [-2,1.9709082008185723]
> 17: 9 random roots in [-2,1.7507285372835082]
> 18: 9 random roots in [-2,1.90698479000263]
> 19: 2 random roots in [-2,1.83137872973884]
> 20: 15 random roots in [-2,1.7951998144955912]
> roots
> 1: 16 random roots in [-2,1.290121241823685]
> Possible precision problem for 16 roots: -1.8659028832875755 -1.8305517724229614 -1.6484596466427686 -1.4919674748686726 -1.2718628797154983 -1.2679604400521538 -1.1735013462799695 -1.1724934457264464 -1.0912344776701333 -0.9690622409795904 -0.9594575502077276 -0.7806957316217675 0.0839570474609812 0.7914578505129546 0.9439667559348943 1.0464073004899346
> 5.5007967155518145e-05(= abs(root-rootFound):-1.2718628797154983--1.2719178876826538) for 5th root)
> Possible precision problem for 16 roots: -1.8659028832875755 -1.8305517724229614 -1.6484596466427686 -1.4919674748686726 -1.2718628797154983 -1.2679604400521538 -1.1735013462799695 -1.1724934457264464 -1.0912344776701333 -0.9690622409795904 -0.9594575502077276 -0.7806957316217675 0.0839570474609812 0.7914578505129546 0.9439667559348943 1.0464073004899346
> 6.0524420297802806e-05(= abs(root-rootFound):-1.2679604400521538--1.267899915631856) for 6th root)
> Possible precision problem for 16 roots: -1.8659028832875755 -1.8305517724229614 -1.6484596466427686 -1.4919674748686726 -1.2718628797154983 -1.2679604400521538 -1.1735013462799695 -1.1724934457264464 -1.0912344776701333 -0.9690622409795904 -0.9594575502077276 -0.7806957316217675 0.0839570474609812 0.7914578505129546 0.9439667559348943 1.0464073004899346
> 0.0003620194586471115(= abs(root-rootFound):-1.1735013462799695--1.1738633657386166) for 7th root)
> Possible precision problem for 16 roots: -1.8659028832875755 -1.8305517724229614 -1.6484596466427686 -1.4919674748686726 -1.2718628797154983 -1.2679604400521538 -1.1735013462799695 -1.1724934457264464 -1.0912344776701333 -0.9690622409795904 -0.9594575502077276 -0.7806957316217675 0.0839570474609812 0.7914578505129546 0.9439667559348943 1.0464073004899346
> 0.00035895826306364675(= abs(root-rootFound):-1.1724934457264464--1.1721344874633828) for 8th root)
> 2: 3 random roots in [-2,1.5064860340300927]
> 3: 12 random roots in [-2,1.372248411382778]
> 4: 7 random roots in [-2,1.9527963596719224]
> 5: 4 random roots in [-2,1.7665173718485807]
> 6: 6 random roots in [-2,1.6664371882301343]
> 7: 18 random roots in [-2,1.1783669606900449]
> Possible precision problem for 18 roots: -1.7845891079661942 -1.5624579214137837 -1.3969215695537525 -1.3554589352584143 -1.1194944141349668 -1.1151486614016628 -1.0198154782311786 -1.0023996722037838 -1.0019809814906016 -0.9410021275935394 -0.09545767139650962 -0.03989209578690578 0.16482693771468027 0.25893835820454525 0.45543945988707524 0.5544559757331871 0.9959287910299235 1.0385177365785587
> 2.0310202724083126e-05(= abs(root-rootFound):-1.1194944141349668--1.1194741039322427) for 5th root)
> Possible precision problem for 18 roots: -1.7845891079661942 -1.5624579214137837 -1.3969215695537525 -1.3554589352584143 -1.1194944141349668 -1.1151486614016628 -1.0198154782311786 -1.0023996722037838 -1.0019809814906016 -0.9410021275935394 -0.09545767139650962 -0.03989209578690578 0.16482693771468027 0.25893835820454525 0.45543945988707524 0.5544559757331871 0.9959287910299235 1.0385177365785587
> 2.1828231615561577e-05(= abs(root-rootFound):-1.0198154782311786--1.019793649999563) for 7th root)
> Possible precision problem for 18 roots: -1.7845891079661942 -1.5624579214137837 -1.3969215695537525 -1.3554589352584143 -1.1194944141349668 -1.1151486614016628 -1.0198154782311786 -1.0023996722037838 -1.0019809814906016 -0.9410021275935394 -0.09545767139650962 -0.03989209578690578 0.16482693771468027 0.25893835820454525 0.45543945988707524 0.5544559757331871 0.9959287910299235 1.0385177365785587
> 0.0003700990713939589(= abs(root-rootFound):-1.0023996722037838--1.0027697712751777) for 8th root)
> Possible precision problem for 18 roots: -1.7845891079661942 -1.5624579214137837 -1.3969215695537525 -1.3554589352584143 -1.1194944141349668 -1.1151486614016628 -1.0198154782311786 -1.0023996722037838 -1.0019809814906016 -0.9410021275935394 -0.09545767139650962 -0.03989209578690578 0.16482693771468027 0.25893835820454525 0.45543945988707524 0.5544559757331871 0.9959287910299235 1.0385177365785587
> 0.00035015477970934406(= abs(root-rootFound):-1.0019809814906016--1.0016308267108922) for 9th root)
> 8: 19 random roots in [-2,1.9010468920872907]
> 9: 18 random roots in [-2,1.977121912495265]
> 10: 4 random roots in [-2,1.9226336041128587]
> 11: 4 random roots in [-2,1.4818187722505112]
> 12: 4 random roots in [-2,1.343813925911025]
> 13: 20 random roots in [-2,1.8173151642894414]
> Possible precision problem for 20 roots: -0.856487961835416 -0.8555294156568396 -0.7187259741138405 -0.6682403464467168 -0.4377298998121393 0.03501692949665758 0.6246630791515844 0.6683429663683849 0.9379015862756437 0.9405034666559935 1.0861436232068766 1.2930108127714974 1.3292919922718136 1.3373387413631228 1.3503946805171383 1.5089711751739543 1.5751570608139276 1.6188357825905544 1.6745311352401533 1.685903752774295
> 0.0005563801330450424(= abs(root-rootFound):1.3292919922718136-1.3298483724048586) for 13th root)
> Possible precision problem for 20 roots: -0.856487961835416 -0.8555294156568396 -0.7187259741138405 -0.6682403464467168 -0.4377298998121393 0.03501692949665758 0.6246630791515844 0.6683429663683849 0.9379015862756437 0.9405034666559935 1.0861436232068766 1.2930108127714974 1.3292919922718136 1.3373387413631228 1.3503946805171383 1.5089711751739543 1.5751570608139276 1.6188357825905544 1.6745311352401533 1.685903752774295
> 0.0007852950526858749(= abs(root-rootFound):1.3373387413631228-1.336553446310437) for 14th root)
> Possible precision problem for 20 roots: -0.856487961835416 -0.8555294156568396 -0.7187259741138405 -0.6682403464467168 -0.4377298998121393 0.03501692949665758 0.6246630791515844 0.6683429663683849 0.9379015862756437 0.9405034666559935 1.0861436232068766 1.2930108127714974 1.3292919922718136 1.3373387413631228 1.3503946805171383 1.5089711751739543 1.5751570608139276 1.6188357825905544 1.6745311352401533 1.685903752774295
> 0.0002544027901136836(= abs(root-rootFound):1.3503946805171383-1.350649083307252) for 15th root)
> 14: 2 random roots in [-2,1.155669444157893]
> 15: 18 random roots in [-2,1.3929096829706205]
> 16: 9 random roots in [-2,1.7752135863687157]
> 17: 6 random roots in [-2,1.3748086017123362]
> 18: 12 random roots in [-2,1.1415983792988913]
> 19: 5 random roots in [-2,1.803833457662241]
> 20: 18 random roots in [-2,1.2112890639080827]
> roots
> 1: 17 random roots in [-2,1.0204703355494629]
> 2: 16 random roots in [-2,1.4310861227111924]
> 3: 16 random roots in [-2,1.8533915623361412]
> 4: 13 random roots in [-2,1.5309135977131014]
> 5: 14 random roots in [-2,1.603104528335526]
> 6: 9 random roots in [-2,1.4087355568565931]
> 7: 10 random roots in [-2,1.4364973894498203]
> 8: 10 random roots in [-2,1.8153025875943933]
> 9: 12 random roots in [-2,1.022766007242908]
> 10: 17 random roots in [-2,1.90625879555527]
> 11: 15 random roots in [-2,1.3546872852675462]
> 12: 12 random roots in [-2,1.4119582680934375]
> 13: 20 random roots in [-2,1.6239353918522328]
> 14: 18 random roots in [-2,1.1896692140713738]
> 15: 3 random roots in [-2,1.325531316562585]
> 16: 17 random roots in [-2,1.6878148458899882]
> 17: 8 random roots in [-2,1.63931164148484]
> 18: 13 random roots in [-2,1.4351403143847008]
> 19: 9 random roots in [-2,1.8080300720901392]
> 20: 13 random roots in [-2,1.3133280057498142]
> roots
> 1: 16 random roots in [-2,1.9321065321571678]
> 2: 9 random roots in [-2,1.6848255726916568]
> 3: 2 random roots in [-2,1.4444953128542846]
> 4: 4 random roots in [-2,1.977042693889688]
> 5: 11 random roots in [-2,1.6242583659329202]
> 6: 9 random roots in [-2,1.137800408467299]
> 7: 13 random roots in [-2,1.6293853186895277]
> 8: 20 random roots in [-2,1.055159840672413]
> 9: 5 random roots in [-2,1.9434476739669029]
> 10: 10 random roots in [-2,1.7172392898051174]
> 11: 20 random roots in [-2,1.3638634818650641]
> 12: 13 random roots in [-2,1.6388510309713213]
> 13: 17 random roots in [-2,1.396626220631131]
> 14: 9 random roots in [-2,1.4817658689633928]
> 15: 6 random roots in [-2,1.5704591731984152]
> 16: 20 random roots in [-2,1.6324936126413157]
> 17: 17 random roots in [-2,1.2737567455752599]
> 18: 8 random roots in [-2,1.891397527434055]
> 19: 3 random roots in [-2,1.5907212734422869]
> 20: 14 random roots in [-2,1.9817219623257776]
> roots
> 1: 13 random roots in [-2,1.2025274924331595]
> 2: 15 random roots in [-2,1.6503962322837824]
> 3: 7 random roots in [-2,1.155571344445645]
> 4: 7 random roots in [-2,1.2055899106642651]
> 5: 17 random roots in [-2,1.1171392287555146]
> 6: 18 random roots in [-2,1.3019623994461984]
> 7: 10 random roots in [-2,1.9355740332581757]
> 8: 6 random roots in [-2,1.9567859674386308]
> 9: 14 random roots in [-2,1.4160457141446638]
> 10: 18 random roots in [-2,1.3800540755541582]
> 11: 3 random roots in [-2,1.575743171285439]
> 12: 8 random roots in [-2,1.9497893055746087]
> 13: 13 random roots in [-2,1.659038842047317]
> 14: 6 random roots in [-2,1.2540595833001622]
> 15: 8 random roots in [-2,1.0417042759964965]
> 16: 16 random roots in [-2,1.9463788574143033]
> 17: 20 random roots in [-2,1.6236790806360883]
> 18: 11 random roots in [-2,1.8380362186161965]
> 19: 7 random roots in [-2,1.2663517106729865]
> 20: 13 random roots in [-2,1.669499932713336]
> roots
> 1: 4 random roots in [-2,1.8034022081370151]
> 2: 2 random roots in [-2,1.2122063141338852]
> 3: 10 random roots in [-2,1.3329808300055719]
> 4: 20 random roots in [-2,1.0310564996089173]
> 5: 17 random roots in [-2,1.982808474003604]
> 6: 2 random roots in [-2,1.8343197134150855]
> 7: 15 random roots in [-2,1.1171033402215793]
> 8: 16 random roots in [-2,1.9369893294638136]
> 9: 19 random roots in [-2,1.7878741147954416]
> 10: 15 random roots in [-2,1.8866106383106604]
> 11: 16 random roots in [-2,1.8296965304183157]
> 12: 11 random roots in [-2,1.0110294217619815]
> 13: 17 random roots in [-2,1.520649640461576]
> 14: 15 random roots in [-2,1.7112697407617197]
> 15: 6 random roots in [-2,1.3734790216159083]
> 16: 10 random roots in [-2,1.270784863679416]
> 17: 12 random roots in [-2,1.3413553140420778]
> 18: 10 random roots in [-2,1.5695904595034516]
> 19: 7 random roots in [-2,1.1787815066878182]
> 20: 9 random roots in [-2,1.8987049837258003]
> roots
> 1: 12 random roots in [-2,1.3134520954551006]
> 2: 13 random roots in [-2,1.4448989554868183]
> 3: 6 random roots in [-2,1.5844297829261356]
> 4: 2 random roots in [-2,1.2056059746356196]
> 5: 15 random roots in [-2,1.3066193078992785]
> 6: 10 random roots in [-2,1.6053109892782103]
> 7: 9 random roots in [-2,1.493468907053213]
> 8: 11 random roots in [-2,1.317583002304304]
> 9: 15 random roots in [-2,1.4539339047989028]
> 10: 5 random roots in [-2,1.6378791590588466]
> 11: 7 random roots in [-2,1.6786800298202524]
> 12: 17 random roots in [-2,1.8837259494808651]
> 13: 18 random roots in [-2,1.0698966473424187]
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.00014637645289883316(= abs(root-rootFound):-1.9280991879452805--1.9279528114923816) for 2th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.0002555426732495647(= abs(root-rootFound):-1.8755055800612856--1.8757611227345352) for 3th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.00026537221328259974(= abs(root-rootFound):-1.7908359943315189--1.7905706221182363) for 4th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.00019224335776990564(= abs(root-rootFound):-1.7001547999547209--1.7003470433124908) for 5th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.0003154762381967213(= abs(root-rootFound):-1.513246109503587--1.5129306332653902) for 6th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.0006054232795182912(= abs(root-rootFound):-1.4420102998877145--1.4426157231672327) for 7th root)
> Possible precision problem for 18 roots: -1.984978811724045 -1.9280991879452805 -1.8755055800612856 -1.7908359943315189 -1.7001547999547209 -1.513246109503587 -1.4420102998877145 -1.37313415372443 -1.332630279983333 -1.3233339071328647 -0.9628804859689979 -0.926161763189802 -0.25256433615678375 -0.2352392604771334 -0.045352735457801385 -0.020029045231203524 0.19690501739027733 0.6852535242348696
> 0.0009284002490503873(= abs(root-rootFound):-1.37313415372443--1.3722057534753795) for 8th root)
> 14: 18 random roots in [-2,1.7856387033636758]
> 15: 13 random roots in [-2,1.0152704131066712]
> 16: 2 random roots in [-2,1.8107480818652613]
> 17: 13 random roots in [-2,1.8663503544595859]
> 18: 20 random roots in [-2,1.7824197826455395]
> 19: 20 random roots in [-2,1.3172554805470509]
> Possible precision problem for 20 roots: -1.7131478896481462 -1.6663155114948018 -1.5634119984179744 -1.3402329106283082 -1.180531929786654 -1.1471462175828773 -1.0705707343083086 -1.0563359767569915 -1.0542311623592724 -0.5944278702435908 -0.4860657263118857 -0.38091139312776456 -0.13833977946095155 0.3207493280172544 0.6319180073780495 0.6764901230387936 0.7583432710001672 0.7845738285503869 0.904243057513221 0.9403557694787925
> 6.692290377019461e-05(= abs(root-rootFound):-1.0563359767569915--1.0562690538532213) for 8th root)
> Possible precision problem for 20 roots: -1.7131478896481462 -1.6663155114948018 -1.5634119984179744 -1.3402329106283082 -1.180531929786654 -1.1471462175828773 -1.0705707343083086 -1.0563359767569915 -1.0542311623592724 -0.5944278702435908 -0.4860657263118857 -0.38091139312776456 -0.13833977946095155 0.3207493280172544 0.6319180073780495 0.6764901230387936 0.7583432710001672 0.7845738285503869 0.904243057513221 0.9403557694787925
> 5.549086491507538e-05(= abs(root-rootFound):-1.0542311623592724--1.0542866532241875) for 9th root)
> 20: 20 random roots in [-2,1.09958323311673]
> roots
> 1: 3 random roots in [-2,1.1600936826963948]
> 2: 13 random roots in [-2,1.7459041394824508]
> 3: 9 random roots in [-2,1.9316158355078468]
> 4: 9 random roots in [-2,1.8433087716087477]
> 5: 11 random roots in [-2,1.1756608338792964]
> 6: 18 random roots in [-2,1.4323621904609691]
> 7: 6 random roots in [-2,1.0889275471023563]
> 8: 13 random roots in [-2,1.351328379046305]
> 9: 10 random roots in [-2,1.2778267047879177]
> 10: 4 random roots in [-2,1.97847991538453]
> 11: 6 random roots in [-2,1.467497962580398]
> 12: 15 random roots in [-2,1.4575857889105408]
> 13: 8 random roots in [-2,1.7689656992986642]
> 14: 11 random roots in [-2,1.522665978665593]
> 15: 10 random roots in [-2,1.2135012892087707]
> 16: 10 random roots in [-2,1.9149572155050287]
> 17: 14 random roots in [-2,1.1108882503875495]
> 18: 20 random roots in [-2,1.104590073508724]
> 19: 6 random roots in [-2,1.8071336255803314]
> 20: 20 random roots in [-2,1.8278404972866134]
> roots
> 1: 11 random roots in [-2,1.916270094032444]
> 2: 12 random roots in [-2,1.288123808731271]
> 3: 12 random roots in [-2,1.7497231940113935]
> 4: 17 random roots in [-2,1.7326106804755492]
> 5: 16 random roots in [-2,1.8527753481770355]
> 6: 18 random roots in [-2,1.455582756942865]
> 7: 7 random roots in [-2,1.8859054776884294]
> 8: 14 random roots in [-2,1.009576649934238]
> 9: 14 random roots in [-2,1.2311444702585361]
> 10: 15 random roots in [-2,1.2411276126425403]
> 11: 8 random roots in [-2,1.2558193535884834]
> 12: 6 random roots in [-2,1.9119845225717005]
> 13: 16 random roots in [-2,1.777409220173594]
> 14: 17 random roots in [-2,1.5803734220001688]
> 15: 9 random roots in [-2,1.2818815582199787]
> 16: 2 random roots in [-2,1.6524974726153523]
> 17: 7 random roots in [-2,1.446947835468979]
> 18: 13 random roots in [-2,1.8917087341948693]
> 19: 17 random roots in [-2,1.2150733376808267]
> 20: 6 random roots in [-2,1.1268710349478854]
> roots
> 1: 11 random roots in [-2,1.0907885597250153]
> 2: 9 random roots in [-2,1.0454565653154062]
> 3: 10 random roots in [-2,1.4249190895888062]
> 4: 14 random roots in [-2,1.0424296032639173]
> 5: 3 random roots in [-2,1.1416166730493582]
> 6: 11 random roots in [-2,1.562497065692816]
> 7: 3 random roots in [-2,1.7568262355487665]
> 8: 8 random roots in [-2,1.6581951569796098]
> 9: 3 random roots in [-2,1.1606318559148034]
> 10: 8 random roots in [-2,1.9060453740897176]
> 11: 19 random roots in [-2,1.4451326521505257]
> 12: 10 random roots in [-2,1.1944537711889356]
> 13: 3 random roots in [-2,1.7307852064818108]
> 14: 17 random roots in [-2,1.4058851920575635]
> 15: 5 random roots in [-2,1.2322534434682755]
> 16: 8 random roots in [-2,1.124467285497297]
> 17: 14 random roots in [-2,1.3274342267946337]
> 18: 5 random roots in [-2,1.1869905355076347]
> 19: 6 random roots in [-2,1.3797261248393387]
> 20: 8 random roots in [-2,1.9510991447242771]
> test_Polynomial.praat OK
> ===== test_PowerCepstrum.praat
> test_PowerCepstrum.praat
> Prominence: 42.74362046165457 dB (exponential, robust)
> Prominence: 43.068135996126514 dB (exponential, least squares)
> Prominence: 42.48562827139 dB (exponential, robust slow)
> Prominence: 40.39687474564022 dB (straight, robust)
> Slope: -9.973189965580492 (exponential, robust)
> Intercept: 51.30335951107713 dB (straight, robust)
> Rhamonics-to-noise-ratio: 15.699320078637607
> Segmentation fault
> ===== test_Procrustes.praat
> test_Procrustes.praat
> Example in Borg & Groenen section 19.4
> Orthognal Procrustes transform (example 12.4.1 Golub & van Loan)
> 12 randomly generated configurations of dimension 2^k x 2
> 2 rows
> 4 rows
> 8 rows
> 16 rows
> 32 rows
> 64 rows
> 128 rows
> 256 rows
> 512 rows
> 1024 rows
> 2048 rows
> 4096 rows
> test_Procrustes.praat OK
> ===== test_SSCP.praat
> test_SSCP.praat
> test_SSCP.praat OK
> ===== test_SVD.praat
> test_SVD.praat
> Hilbert matrix order 4
> UDV' test equality of U
> UDV' test equality of V
> reconstruct 6x2 matrix
> reconstruct 2x6 matrix
> reconstruct 30x500 matrix
> test_SVD.praat OK
> ===== test_Sound_draw_where.praat
> ===== test_Sound_levelCrossings.praat
> test_Sound_levelCrossings.praat
> test_Sound_levelCrossings.praat OK
> ===== test_Sound_noiseReduction.praat
> test_Sound_noiseReduction.praat
> db=-0 69.4970330167254 -0.032680240420522595 1.007553286677722
> db=-10 39.96491748611278 -29.564795771033133 904.647895256717
> db=-20 30.98724318873466 -38.542470068411255 7149.028144970966
> db=-30 27.96632452584535 -41.56338873130057 14333.058489906443
> db=-40 27.00703159419897 -42.522681662946944 17875.91028183151
> db=-50 26.6991841623917 -42.83052909475422 19189.02503577299
> db=-60 26.60113660440933 -42.92857665273658 19627.169148536144
> db=-70 26.5700686151575 -42.95964464198842 19768.078827586676
> db=-80 26.560238055089393 -42.96947520205652 19812.875941467344
> db=-90 26.55712876870875 -42.972584488437164 19827.0658438255
> test_Sound_noiseReduction.praat OK
> ===== test_Sound_paint_where.praat
> ===== test_SpeechSynthesizer.praat
> ===== test_SpeechSynthesizer_alignment.praat
> ===== test_String_extensions.praat
> test_String_extensions
> test_String_extensions OK
> ===== test_TableOfReal_and_Permutation.praat
> test: TableOfReal_and_Permutation.praat
> ..........o.k.
> ===== test_TableOfReal_extensions.praat
> test_TableOfReal_extensions.praat
> means_by_row_labels
> centre_rows
> centre_columns
> normalize
> test_TableOfReal_extensions.praat OK
> ===== test_Table_extractMahalanobisWhere.praat
> Table_extractMahalanobisWhere test
> Table_extractMahalanobisWhere test OK
> ===== test_Table_getMedianAbsoluteDeviation.praat
> test_Table_getMedianAbsoluteDeviation ok
> ===== test_TextGrid_extensions.praat
> ===== test_angle_between_planes.praat
> test_angle_between_planes.praat
> 200 times: angle=randomUniform(0.001,90), numberOfRows = randomInteger (10,1000)
> 2.1392 0.0000000000002 (723)
> test_angle_between_planes.praat OK
> ===== test_bss_twoSoundsMixed.praat
> ===== test_detectSilences.praat
> test_detectSilences.praat
> +-, +-+-, ..., +-+-+-+-+-
> -+, -+-+, ..., -+-+-+-+-+
> silence is +3dB or -3dB w.r.t threshold
> minimum sounding/silent interval exceeds largest interval
> test_detectSilences.praat OK
> ===== test_gammatonefilter.praat
> test_gammatonefilter.praat
> Filter pulses of duration i * 0.2
> Compare incomplete gamma with Gamma[n,z]
> test_gammatonefilter.praat OK
> ===== test_gsl.praat
> test_gsl.praat
> besselI:
> besselK:
> erfc:
> erf:
> lnGamma:
> incompleteBeta:
> incompleteBeta (a,b,0) = 0 & incompleteBeta (a,b,1) = 1:
> incompleteBeta(i, 1, 0.1)=10^(-i) & incompleteBeta(a,b,x)=1-incompleteBeta(b,a,1-x):
> incompleteGammaP:
> incompleteGammaP(a,0)=0 & incompleteGammaP(a,inf)=1:
> incompleteGammaP(1,x)=1-exp(-x):
> incompleteGammaP(2,x)=(1-(1+x)*exp(-x)):
> incompleteGammaP(3,x)=(1-(1+x+0.5*x^2)*exp(-x))/2:
> sincpi:
> test_gsl.praat OK
> ===== test_henzeZirklerMultivariateNormalityTest.praat
> test_henzeZirklerMultivariateNormalityTest
> 1.276083424420824
> henzeZirklerMultivariateNormalityTest : end
> ===== test_randomFunctions.praat
> test_randomFunctions.praat
> randomBinomial (0.16666666666666666,100)
> 100000 runs with randomBinomial (0.16666666666666666,100)
> We expect values between 0 and 100 with a mean near n * p = 16.666666666666664
> Bin 1 counts number of times randomBinomial return 0, bin 2 number of times randomBinomial returns 1, etc.
> The probability q of the values in bin i equals binomialP (p, i - 1 , n) - binomialP (p, i - 2 , n)
> In bin i we expect numberOfRuns * q (=100000 * q values
> Segmentation fault
> ===== test_regex.praat
> test_regex
> ---- # match characters
> ---- # special characters # backslash \
> ---- # special characters # caret ^
> ---- # special characters # dollar $
> ---- # special characters # quantifier brackets {}
> ---- # special characters # open and close brackets []
> ---- # special characters # grouping characters ()
> ---- # special characters # dot .
> ---- # special characters # star *
> ---- # special characters # plus +
> ---- # special characters # question mark ?
> ---- # quantifiers # *
> ---- # non greedy ?
> ---- # anchors
> --- # empty string
> ---- # replaced string much longer than original
> --------- PREVIOUS BUGS < 5.0.4
> ---- # replace by empty string ""
> --------- PREVIOUS BUGS < 5.0.5
> --------- PREVIOUS BUGS --- END
> --------- BUG in 5.0.40
> --------- PREVIOUS BUGS --- END
> test_regex OK
> ===== test_robustStatistics.praat
> test_robustStatistics.praat
> Location: 3.2054980806587885
> Scale: 0.6736525977181382
>
> test_robustStatistics.praat OK
> ===== test_sigma_ellipse.praat
> ===== test_solves.praat
> test_solves.praat
> solveWeaklyConstrained# (f##, phi#, alpha, delta)
> Example J. ten Berge (1991), page 606
> 0.5833333333333331; -0.0563380281690141 -3.341667830688472e-17 0.7616819283108669
> Force norm to be one alpha = 1e30, delta=1.0
> norm(result)=0.9999999999999998
> Random size matrices, randomUniform (-1,1) data
> 9x3 alpha=6.775228960180186; delta=0.9800037768497863
> 32x26 alpha=8.265242239825643; delta=0.2029798828761752
> 97x28 alpha=8.221047291964881; delta=0.38912990550956716
> 57x42 alpha=4.881539392102137; delta=0.7503620913290855
> 29x14 alpha=3.9199682035999284; delta=0.27179988052249604
> 58x11 alpha=1.5848917554266828; delta=0.9164399980288258
> 37x9 alpha=2.969045433508911; delta=0.3470379305572131
> 53x6 alpha=9.88610470415815; delta=0.2866993977974315
> 84x83 alpha=4.3982429092333515; delta=0.5206493994113202
> 59x12 alpha=9.450835653298542; delta=0.8103480239281775
> solveNonnegative# (m##, v#, maximumnumberOfIterations, tolerance, info)
> Iteration: 1, error: 2.7083144168962345
> Iteration: 2, error: 0.22835187182198863
> Iteration: 3, error: 0.019415103584264275
> Iteration: 4, error: 0.01135674859203216
> Iteration: 5, error: 0.011337876032770117
> Iteration: 6, error: 0.011337868483746441
> Iteration: 7, error: 0.011337868480726812
> Iteration: 8, error: 0.011337868480725618
> Iteration: 9, error: 0.011337868480725613
> Number of iterations: 9; Minimum: 0.011337868480725613
> Iteration: 1, error: 2.7083144168962345
> Iteration: 2, error: 0.22835187182198863
> Iteration: 3, error: 0.019415103584264275
> Number of iterations: 3; Minimum: 0.019415103584264275
> Number of iterations: 6; Minimum: 0.011337868480725613
> test_solves.praat OK
> ===== test_spectrogramTypes.praat
> ===== test_textGrid_and_DurationTier.praat
> test_TextGrid_and_DurationTier.praat
> test_TextGrid_and_DurationTier.praat OK
> ===== test_twowayAnova.praat
> two-way anova test
> Two-way anova test OK
> 127 tests passed, 123 ok
> Failed test(s):
>
> sys/colour.praat
> test_GaussianMixture.praat
> test_PowerCepstrum.praat
> test_randomFunctions.praat
> make[1]: *** [debian/rules:88: override_dh_auto_test] Error 1
The full build log is available from:
http://qa-logs.debian.net/2020/04/02/praat_6.1.09-1_unstable.log
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
About the archive rebuild: The rebuild was done on EC2 VM instances from
Amazon Web Services, using a clean, minimal and up-to-date chroot. Every
failed build was retried once to eliminate random failures.
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