Tue Oct 19 17:00:30 2021 polynomials_test(): Python version: 3.6.9 Test polynomials(). butcher_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax butcher: [-1.4393333333, +0.219] 16 -0.92212807 0.08697754 32 -1.1911128 0.049393735 64 -1.0476609 0.16384168 128 -1.2793639 0.147551 256 -1.3291772 0.20285995 512 -1.3323178 0.17465953 1024 -1.3162484 0.19313283 2048 -1.2963341 0.19287937 4096 -1.319547 0.20237301 8192 -1.319682 0.20152745 16384 -1.3658576 0.20427274 butcher_test: Normal end of execution. camel_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax camel: [ -1.031628453489616, ? ]: 16 0.29211219 124.38899 32 -0.39844668 295.42339 64 -0.99620464 339.44458 128 -0.88814437 380.77379 256 -0.81659208 338.85127 512 -1.0060188 372.54854 1024 -1.0203687 349.78794 2048 -1.0266577 355.37733 4096 -1.0134144 387.96017 8192 -1.0278127 386.64737 16384 -1.0307208 395.91009 camel_test: Normal end of execution. camera_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax camera: [-270397.4, +270202.6] 16 -84458.645 85884.42 32 -76769.384 88141.562 64 -86464.534 83740.628 128 -126036.96 121053.33 256 -116806.46 122185.08 512 -136034.56 148608.7 1024 -180895.86 170135.33 2048 -152178.08 154139.88 4096 -171080.03 179234.25 8192 -185534.48 217635.58 16384 -185571.51 188443.26 camera_test: Normal end of execution. caprasse_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax caprasse: [-3.1800966258, +4.4852773332] 16 -0.84513156 3.1559706 32 -2.4827334 3.004831 64 -2.180919 3.6500773 128 -2.1630839 3.8075668 256 -1.978033 3.618084 512 -2.2038055 3.8907591 1024 -2.5240481 3.9380297 2048 -2.4363317 4.1932959 4096 -2.78093 4.156582 8192 -2.903393 4.144234 16384 -2.881122 4.298002 caprasse_test: Normal end of execution. cyclic5_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic5: [-30000, +50000] 16 -1907.9347 2397.6604 32 -6577.3988 6186.202 64 -13596.979 6030.2859 128 -13036.306 8135.97 256 -9593.3659 8105.4353 512 -15741.253 10854.183 1024 -17988.118 19559.042 2048 -18360.642 20347.319 4096 -20485.47 22926.867 8192 -17792.324 26472.263 16384 -23167.764 33686.192 cyclic5_test: Normal end of execution. cyclic7_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic7: [-5.0, +7.0] 16 -0.04870914 0.073112233 32 -0.11055222 0.22769286 64 -0.19997419 0.29501544 128 -0.24319157 0.57271973 256 -0.39442351 0.40941637 512 -1.2194945 1.1650945 1024 -0.4910616 0.56273714 2048 -0.91105589 2.2149836 4096 -0.98914114 1.3911342 8192 -1.4072482 0.97115415 16384 -2.0353962 1.1458726 cyclic7_test: Normal end of execution. cyclic8_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic8: [-8.0, +8.0] 16 -0.02819145 0.25556855 32 -0.16058167 0.33629909 64 -0.10912852 0.11074582 128 -0.081960275 0.23521021 256 -0.23139727 0.30527482 512 -0.41066627 0.54288511 1024 -0.82973281 0.72854765 2048 -0.98057809 0.67845549 4096 -1.2041092 1.2985766 8192 -2.1512926 0.86719736 16384 -1.6179438 0.95907064 cyclic8_test: Normal end of execution. goldstein_price_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax goldstein_price: [ 3, ? ]: 16 73.05425 142101.53 32 63.917895 169144.05 64 39.194891 540260.72 128 33.453757 356171.42 256 9.1328693 892960.98 512 3.6923433 909626.08 1024 3.9524582 968821.36 2048 4.5178617 1007359.1 4096 3.5385546 997382.79 8192 3.1377252 998143.85 16384 3.0320558 1008647.2 goldstein_price_test: Normal end of execution. hairer_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax hairer: [-1875.25, -48.25] 16 -1037.5792 -255.41947 32 -1089.7414 -126.56905 64 -954.34779 -158.37774 128 -1222.0712 -109.9936 256 -1256.0807 -99.89175 512 -1377.3923 -105.67555 1024 -1303.3058 -90.693264 2048 -1460.5212 -87.999097 4096 -1464.7363 -74.60814 8192 -1562.106 -76.420689 16384 -1620.8265 -72.451028 hairer_test: Normal end of execution. heart_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax heart: [-1.36775, +1.74345327935] 16 -0.16213463 1.0282873 32 -0.2574722 1.2908325 64 -0.00050624443 1.2366285 128 -0.030668456 1.1925068 256 -0.24445063 1.3112332 512 -0.30852541 1.5575801 1024 -0.58782041 1.4447667 2048 -0.56622845 1.4882657 4096 -0.683295 1.5903052 8192 -0.70797986 1.4896997 16384 -0.78259478 1.6366054 heart_test: Normal end of execution. himmelblau_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax himmelblau: [0, ?] 16 14.354659 265.53778 32 5.7321053 547.03937 64 3.9946578 543.5523 128 2.5511623 583.27005 256 1.2079179 664.30168 512 0.58225657 737.02212 1024 0.049296603 641.93799 2048 0.027777397 838.07769 4096 0.13216609 857.99957 8192 0.019998299 818.85953 16384 0.0057950476 822.72863 himmelblau_test: Normal end of execution. hunecke_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax hunecke: [-1436.515078155, +161.120543283] 16 -975.97015 -9.8143481 32 -997.26607 12.227103 64 -958.5608 23.29064 128 -1166.6859 24.028357 256 -1195.8281 14.679168 512 -1131.309 40.437519 1024 -1249.8136 57.138188 2048 -1328.9275 89.895943 4096 -1223.0001 76.054315 8192 -1333.2857 88.360121 16384 -1369.9292 98.360576 hunecke_test: Normal end of execution. kearfott_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax kearfott: [ 0, ? ]: 16 1.7043672 73.078175 32 0.41110008 98.07628 64 2.4790706 121.28089 128 0.65788755 88.487422 256 0.44898698 109.70208 512 0.2262515 128.93866 1024 0.48399144 152.88385 2048 0.081996389 125.70829 4096 0.14132618 132.69025 8192 0.077447528 170.81117 16384 0.044656903 162.83665 kearfott_test: Normal end of execution. lv3_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax lv3: [-9.35, +14.8 ] 16 -1.870133 2.4243604 32 -2.5589845 4.5609036 64 -5.7004607 4.3492797 128 -7.7932844 6.1647389 256 -7.4311451 5.7058918 512 -8.5187909 7.3728543 1024 -7.5905851 7.8542033 2048 -8.0413937 7.4949495 4096 -7.7216164 7.6096917 8192 -8.7165682 7.9221958 16384 -8.6322268 8.0777852 lv3_test: Normal end of execution. lv4_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax lv4: [-20.8, +22.8] 16 -3.1069416 6.3679853 32 -4.4307781 7.521447 64 -2.4500037 7.2300113 128 -9.9327784 8.3026361 256 -5.6288248 7.780455 512 -8.7327942 12.087371 1024 -9.4174106 11.82938 2048 -9.158876 12.638806 4096 -10.360263 11.587036 8192 -11.768616 12.340336 16384 -11.278055 13.771279 lv4_test: Normal end of execution. magnetism6_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax magnetism6: [-0.25, +280.0] 16 39.06504 133.90435 32 40.59518 169.83206 64 9.9574846 188.40942 128 25.46175 170.26451 256 13.046785 209.99686 512 16.044346 199.74476 1024 6.4500229 202.5666 2048 3.0351313 242.65709 4096 2.8628011 217.12329 8192 1.6602519 209.63988 16384 3.0176909 229.25937 magnetism6_test: Normal end of execution. magnetism7_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax magnetism7: [-0.25, +330.0] 16 0.28004964 6.9333046 32 1.6018102 7.3494703 64 0.97212756 7.4723515 128 0.73302739 7.5537155 256 0.00084147 8.6913798 512 0.31768507 8.9033534 1024 0.19712678 9.2299101 2048 0.46318028 10.423721 4096 0.2126335 10.549642 8192 0.14582326 11.19136 16384 -0.048286551 10.449063 magnetism7_test: Normal end of execution. quadratic_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax quadratic: [ -2, ? ]: 16 14860.623 40292.576 32 8809.1582 44543.958 64 13232.063 47295.612 128 9909.1525 48629.728 256 7795.1942 55842.135 512 7403.0237 50807.15 1024 3616.1372 60112.171 2048 2618.5614 52993.249 4096 3318.3022 58481.701 8192 1760.4688 64205.076 16384 2776.7309 63024.72 quadratic_test: Normal end of execution. rd_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax rd: [-36.71269068, +10.40560403] 16 -30.284164 6.976445 32 -27.917711 8.0258608 64 -23.325013 7.0250726 128 -30.378098 7.7075081 256 -31.563617 8.1351205 512 -32.550245 8.7727159 1024 -32.678716 8.6675913 2048 -33.391274 9.3694222 4096 -35.018429 9.3182798 8192 -35.109045 9.996761 16384 -35.72498 10.094797 rd_test: Normal end of execution. reimer5_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax reimer5: [-5.0, +5.0] 16 -2.7088657 0.85386471 32 -3.9550454 1.3516904 64 -2.5135536 2.052761 128 -3.3807414 1.6267575 256 -3.3445174 3.1221383 512 -4.3215657 2.6426863 1024 -3.8407525 3.1686852 2048 -4.3710947 3.1396423 4096 -4.8021088 3.9028591 8192 -4.4525525 3.8905633 16384 -4.6100301 3.9377744 reimer5_test: Normal end of execution. reimer6_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax reimer6: [-937501, +937499] 16 -146781.73 97543.284 32 -160221.43 120143.68 64 -245369.02 353144.29 128 -174558.11 331919.63 256 -273817.51 305686.82 512 -356673.24 393837.51 1024 -352026.03 291329.02 2048 -433858.62 441494.76 4096 -377433.42 371783.78 8192 -469947.05 388874.66 16384 -447876.87 405988.81 reimer6_test: Normal end of execution. rosenbrock_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax rosenbrock: [ 0, ? ]: 16 1150.9861 19580.346 32 1561.485 32938.511 64 1125.9886 47551.055 128 436.6302 46793.75 256 158.8897 41155.402 512 314.90718 48730.941 1024 109.293 54066.413 2048 40.526545 50627.261 4096 92.543715 56405.338 8192 78.936853 58286.416 16384 18.289838 58628.021 rosenbrock_test: Normal end of execution. schwefel_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax schwefel: [ 0, ? ]: 16 50.257914 8497.922 32 30.886492 11167.57 64 16.708156 14284.009 128 5.549487 13958.223 256 4.1940221 20488.289 512 3.5945713 21962.076 1024 1.6777954 23059.796 2048 2.3894612 20502.295 4096 0.25950815 21931.73 8192 1.8402167 22961.661 16384 0.14572093 23662.656 schwefel_test: Normal end of execution. smith1_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax smith1: [ ?, ? ]: 16 19635.547 206537.4 32 19439.811 224294.76 64 15399.003 286425.33 128 7826.1377 372496.36 256 13665.257 378296.39 512 2988.357 415117.01 1024 3037.6202 350391.57 2048 2941.8833 440709.47 4096 2636.6493 409879.89 8192 1109.86 404030.77 16384 11.867508 436889.76 smith1_test: Normal end of execution. smith2_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax smith2: [ ?, ? ]: 16 -13621.723 -166.70544 32 -73783.694 -357.67157 64 -114166.3 106.92262 128 -73970.113 -56.500486 256 -124358.84 -76.097066 512 -121339.94 113.106 1024 -218186.48 63.344046 2048 -231527.44 174.12222 4096 -260570.16 144.55212 8192 -262532.27 174.65154 16384 -280817.91 148.16929 smith2_test: Normal end of execution. virasoro_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax virasoro: [-29.0, +21.0] 16 -0.89927139 9.6322066 32 -14.918866 14.572644 64 -7.8939223 15.553268 128 -8.4407761 18.147403 256 -11.518366 16.625477 512 -11.205001 17.165077 1024 -15.507013 18.716916 2048 -15.877347 19.734848 4096 -16.287356 18.654491 8192 -18.497539 19.964517 16384 -19.438347 19.896738 virasoro_test: Normal end of execution. wright_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax wright: [-30.25, 40.0 ] 16 -10.900445 -8.464115 32 -11.654069 -8.7639397 64 -11.395842 -8.7029608 128 -11.430932 -7.7932592 256 -11.586537 -7.9081699 512 -11.7318 -8.1342282 1024 -11.978355 -7.8471813 2048 -11.831001 -8.030778 4096 -11.925158 -7.6572129 8192 -11.967277 -7.8379435 16384 -12.030352 -7.6087852 wright_test: Normal end of execution. zakharov_test: Python version: 3.6.9 Use N sample values of a polynomial over its domain to estimate its minimum Pmin and maximum Pmax N Pmin Pmax zakharov: [ 0, ? ]: 16 90.623559 8453770 32 399.93451 4987976.4 64 68.120761 6165739.3 128 44.141252 7781306.6 256 12.748468 13511107 512 17.806583 19169995 1024 10.085 11890092 2048 10.608371 16271152 4096 5.3285944 22515525 8192 1.7307725 21812655 16384 1.3753438 24656376 zakharov_test: Normal end of execution. polynomials_test(): Normal end of execution. Tue Oct 19 17:00:30 2021