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examples-proposed/007-jupyter-multiple-runs/1/data/1.0_analysis.json
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{"y1": 0.4086964381310226, "y2": 0.16703277854098478, "y3": 0.06826570164082837} |
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examples-proposed/007-jupyter-multiple-runs/1/data/1.0_analysis_mapped.json
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{"y1": 0.2043482190655113, "y2": 0.08351638927049239, "y3": 0.03413285082041419} |
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examples-proposed/007-jupyter-multiple-runs/1/data/1.9666666666666668_analysis.json
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{"y1": 0.463342023851136, "y2": 0.21468583106646666, "y3": 0.09947296745849975} |
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examples-proposed/007-jupyter-multiple-runs/1/data/1.9666666666666668_analysis_mapped.json
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{"y1": 0.231671011925568, "y2": 0.10734291553323333, "y3": 0.049736483729249874} |
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examples-proposed/007-jupyter-multiple-runs/1/data/10.666666666666666_analysis.json
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{"y1": 0.8564741253021063, "y2": 0.7335479273120081, "y3": 0.6282648194117252} |
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examples-proposed/007-jupyter-multiple-runs/1/data/10.666666666666666_analysis_mapped.json
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{"y1": 0.42823706265105316, "y2": 0.36677396365600407, "y3": 0.3141324097058626} |
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examples-proposed/007-jupyter-multiple-runs/1/data/11.633333333333333_analysis.json
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{"y1": 0.886227620691747, "y2": 0.7853993956769549, "y3": 0.6960426377235237} |
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examples-proposed/007-jupyter-multiple-runs/1/data/11.633333333333333_analysis_mapped.json
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{"y1": 0.4431138103458735, "y2": 0.39269969783847747, "y3": 0.34802131886176185} |
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examples-proposed/007-jupyter-multiple-runs/1/data/12.6_analysis.json
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{"y1": 0.9127127929354356, "y2": 0.8330446423880034, "y3": 0.7603305021938557} |
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examples-proposed/007-jupyter-multiple-runs/1/data/12.6_analysis_mapped.json
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{"y1": 0.4563563964677178, "y2": 0.4165223211940017, "y3": 0.38016525109692784} |
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examples-proposed/007-jupyter-multiple-runs/1/data/13.566666666666666_analysis.json
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{"y1": 0.9358319672378397, "y2": 0.8757814709042451, "y3": 0.8195842967867685} |
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examples-proposed/007-jupyter-multiple-runs/1/data/13.566666666666666_analysis_mapped.json
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{"y1": 0.46791598361891984, "y2": 0.43789073545212254, "y3": 0.40979214839338424} |
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examples-proposed/007-jupyter-multiple-runs/1/data/14.533333333333333_analysis.json
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{"y1": 0.9554998822837809, "y2": 0.9129800250443192, "y3": 0.8723523064572903} |
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examples-proposed/007-jupyter-multiple-runs/1/data/14.533333333333333_analysis_mapped.json
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{"y1": 0.47774994114189046, "y2": 0.4564900125221596, "y3": 0.43617615322864517} |
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examples-proposed/007-jupyter-multiple-runs/1/data/15.5_analysis.json
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{"y1": 0.9716440046738521, "y2": 0.9440920718186409, "y3": 0.9173214014426981} |
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examples-proposed/007-jupyter-multiple-runs/1/data/15.5_analysis_mapped.json
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{"y1": 0.4858220023369261, "y2": 0.4720460359093204, "y3": 0.45866070072134907} |
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examples-proposed/007-jupyter-multiple-runs/1/data/16.46666666666667_analysis.json
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{"y1": 0.9842047964206935, "y2": 0.9686590812974987, "y3": 0.9533589139094607} |
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examples-proposed/007-jupyter-multiple-runs/1/data/16.46666666666667_analysis_mapped.json
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{"y1": 0.49210239821034674, "y2": 0.48432954064874933, "y3": 0.47667945695473035} |
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examples-proposed/007-jupyter-multiple-runs/1/data/17.433333333333334_analysis.json
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{"y1": 0.9931359345194255, "y2": 0.9863189844337726, "y3": 0.9795488263398855} |
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examples-proposed/007-jupyter-multiple-runs/1/data/17.433333333333334_analysis_mapped.json
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{"y1": 0.49656796725971275, "y2": 0.4931594922168863, "y3": 0.48977441316994275} |
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examples-proposed/007-jupyter-multiple-runs/1/data/18.4_analysis.json
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{"y1": 0.9984044817824835, "y2": 0.9968115092433495, "y3": 0.9952210783209217} |
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examples-proposed/007-jupyter-multiple-runs/1/data/18.4_analysis_mapped.json
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{"y1": 0.49920224089124177, "y2": 0.49840575462167475, "y3": 0.49761053916046083} |
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examples-proposed/007-jupyter-multiple-runs/1/data/19.366666666666667_analysis.json
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{"y1": 0.9999910083088315, "y2": 0.9999820166985135, "y3": 0.9999730251690452} |
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examples-proposed/007-jupyter-multiple-runs/1/data/19.366666666666667_analysis_mapped.json
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{"y1": 0.49999550415441574, "y2": 0.49999100834925675, "y3": 0.4999865125845226} |
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examples-proposed/007-jupyter-multiple-runs/1/data/2.9333333333333336_analysis.json
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{"y1": 0.5162788482714571, "y2": 0.26654384917250223, "y3": 0.1376109514646204} |
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examples-proposed/007-jupyter-multiple-runs/1/data/2.9333333333333336_analysis_mapped.json
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{"y1": 0.25813942413572855, "y2": 0.13327192458625112, "y3": 0.0688054757323102} |
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examples-proposed/007-jupyter-multiple-runs/1/data/20.333333333333332_analysis.json
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{"y1": 0.9978896631395886, "y2": 0.9957837798008417, "y3": 0.9936823405853281} |
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examples-proposed/007-jupyter-multiple-runs/1/data/20.333333333333332_analysis_mapped.json
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{"y1": 0.4989448315697943, "y2": 0.4978918899004208, "y3": 0.49684117029266406} |
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examples-proposed/007-jupyter-multiple-runs/1/data/21.3_analysis.json
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{"y1": 0.9921081958358088, "y2": 0.9842786722445835, "y3": 0.9765109377202391} |
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examples-proposed/007-jupyter-multiple-runs/1/data/21.3_analysis_mapped.json
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{"y1": 0.4960540979179044, "y2": 0.49213933612229177, "y3": 0.48825546886011956} |
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examples-proposed/007-jupyter-multiple-runs/1/data/22.266666666666666_analysis.json
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{"y1": 0.9826679278988371, "y2": 0.965636256520994, "y3": 0.9488997792994751} |
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examples-proposed/007-jupyter-multiple-runs/1/data/22.266666666666666_analysis_mapped.json
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{"y1": 0.49133396394941853, "y2": 0.482818128260497, "y3": 0.47444988964973756} |
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examples-proposed/007-jupyter-multiple-runs/1/data/23.233333333333334_analysis.json
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{"y1": 0.9696036741386409, "y2": 0.9401312849031518, "y3": 0.9115547480147773} |
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examples-proposed/007-jupyter-multiple-runs/1/data/23.233333333333334_analysis_mapped.json
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{"y1": 0.48480183706932045, "y2": 0.4700656424515759, "y3": 0.45577737400738866} |
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examples-proposed/007-jupyter-multiple-runs/1/data/24.2_analysis.json
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{"y1": 0.9529636142801038, "y2": 0.9081396501417984, "y3": 0.8654240432701972} |
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examples-proposed/007-jupyter-multiple-runs/1/data/24.2_analysis_mapped.json
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{"y1": 0.4764818071400519, "y2": 0.4540698250708992, "y3": 0.4327120216350986} |
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examples-proposed/007-jupyter-multiple-runs/1/data/25.166666666666668_analysis.json
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{"y1": 0.9328091152807836, "y2": 0.8701328455509182, "y3": 0.8116678498351028} |
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examples-proposed/007-jupyter-multiple-runs/1/data/25.166666666666668_analysis_mapped.json
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{"y1": 0.4664045576403918, "y2": 0.4350664227754591, "y3": 0.4058339249175514} |
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examples-proposed/007-jupyter-multiple-runs/1/data/26.133333333333333_analysis.json
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{"y1": 0.9092145050154126, "y2": 0.8266710161304217, "y3": 0.7516212787416094} |
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examples-proposed/007-jupyter-multiple-runs/1/data/26.133333333333333_analysis_mapped.json
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{"y1": 0.4546072525077063, "y2": 0.41333550806521085, "y3": 0.3758106393708047} |
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examples-proposed/007-jupyter-multiple-runs/1/data/27.1_analysis.json
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{"y1": 0.8822667981617652, "y2": 0.778394703138613, "y3": 0.6867518024441819} |
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examples-proposed/007-jupyter-multiple-runs/1/data/27.1_analysis_mapped.json
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{"y1": 0.4411333990808826, "y2": 0.3891973515693065, "y3": 0.34337590122209094} |
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examples-proposed/007-jupyter-multiple-runs/1/data/28.066666666666666_analysis.json
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{"y1": 0.8520653752988079, "y2": 0.7260154037830984, "y3": 0.6186125874971612} |
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examples-proposed/007-jupyter-multiple-runs/1/data/28.066666666666666_analysis_mapped.json
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{"y1": 0.42603268764940394, "y2": 0.3630077018915492, "y3": 0.3093062937485806} |
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examples-proposed/007-jupyter-multiple-runs/1/data/29.033333333333335_analysis.json
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{"y1": 0.8187216164005782, "y2": 0.6703050851615755, "y3": 0.5487932628050123} |
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examples-proposed/007-jupyter-multiple-runs/1/data/29.033333333333335_analysis_mapped.json
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{"y1": 0.4093608082002891, "y2": 0.33515254258078775, "y3": 0.27439663140250614} |
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examples-proposed/007-jupyter-multiple-runs/1/data/3.9_analysis.json
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{"y1": 0.5673116854201401, "y2": 0.32184254841424, "y3": 0.18258503858079553} |
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examples-proposed/007-jupyter-multiple-runs/1/data/3.9_analysis_mapped.json
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{"y1": 0.28365584271007005, "y2": 0.16092127420712, "y3": 0.09129251929039776} |
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examples-proposed/007-jupyter-multiple-runs/1/data/30.0_analysis.json
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{"y1": 0.7823584900774366, "y2": 0.6120848069962465, "y3": 0.47886974540092264} |
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examples-proposed/007-jupyter-multiple-runs/1/data/30.0_analysis_mapped.json
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{"y1": 0.3911792450387183, "y2": 0.3060424034981232, "y3": 0.23943487270046132} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/1/data/4.866666666666667_analysis.json
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{"y1": 0.6162523310492443, "y2": 0.37976693552362734, "y3": 0.23403225927186339} |
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examples-proposed/007-jupyter-multiple-runs/1/data/4.866666666666667_analysis_mapped.json
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{"y1": 0.30812616552462213, "y2": 0.18988346776181367, "y3": 0.11701612963593169} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/1/data/5.833333333333333_analysis.json
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{"y1": 0.6629202967140936, "y2": 0.43946331979550185, "y3": 0.2913291543537947} |
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examples-proposed/007-jupyter-multiple-runs/1/data/5.833333333333333_analysis_mapped.json
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{"y1": 0.3314601483570468, "y2": 0.21973165989775092, "y3": 0.14566457717689735} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/1/data/6.8_analysis.json
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{"y1": 0.7071434753974889, "y2": 0.500051894797239, "y3": 0.35360843476601905} |
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examples-proposed/007-jupyter-multiple-runs/1/data/6.8_analysis_mapped.json
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{"y1": 0.35357173769874445, "y2": 0.2500259473986195, "y3": 0.17680421738300953} |
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examples-proposed/007-jupyter-multiple-runs/1/data/7.766666666666667_analysis.json
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{"y1": 0.7487587762240115, "y2": 0.5606397049724794, "y3": 0.41978389939778454} |
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examples-proposed/007-jupyter-multiple-runs/1/data/7.766666666666667_analysis_mapped.json
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{"y1": 0.3743793881120058, "y2": 0.2803198524862397, "y3": 0.20989194969889227} |
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examples-proposed/007-jupyter-multiple-runs/1/data/8.733333333333334_analysis.json
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{"y1": 0.7876127259236562, "y2": 0.6203338060368924, "y3": 0.48858279995531334} |
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examples-proposed/007-jupyter-multiple-runs/1/data/8.733333333333334_analysis_mapped.json
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{"y1": 0.3938063629618281, "y2": 0.3101669030184462, "y3": 0.24429139997765667} |
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examples-proposed/007-jupyter-multiple-runs/1/data/9.7_analysis.json
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{"y1": 0.8235620348266464, "y2": 0.6782544252078063, "y3": 0.5585845945543184} |
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examples-proposed/007-jupyter-multiple-runs/1/data/9.7_analysis_mapped.json
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{"y1": 0.4117810174133232, "y2": 0.33912721260390316, "y3": 0.2792922972771592} |
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examples-proposed/007-jupyter-multiple-runs/1/data_listing.py
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# This file should be imported by a jupyter notebook or the generated API. DO NOT EDIT UNTIL IPS RUN IS FINALIZED. | ||
|
||
import os | ||
import pathlib | ||
|
||
DATA_DIR = str(pathlib.Path(__file__).resolve().parent / 'data') + os.path.sep | ||
DATA_FILES = { | ||
1.0: [ | ||
f'{DATA_DIR}1.0_analysis.json', | ||
f'{DATA_DIR}1.0_analysis_mapped.json', | ||
], | ||
1.9666666666666668: [ | ||
f'{DATA_DIR}1.9666666666666668_analysis.json', | ||
f'{DATA_DIR}1.9666666666666668_analysis_mapped.json', | ||
], | ||
2.9333333333333336: [ | ||
f'{DATA_DIR}2.9333333333333336_analysis.json', | ||
f'{DATA_DIR}2.9333333333333336_analysis_mapped.json', | ||
], | ||
3.9: [ | ||
f'{DATA_DIR}3.9_analysis.json', | ||
f'{DATA_DIR}3.9_analysis_mapped.json', | ||
], | ||
4.866666666666667: [ | ||
f'{DATA_DIR}4.866666666666667_analysis.json', | ||
f'{DATA_DIR}4.866666666666667_analysis_mapped.json', | ||
], | ||
5.833333333333333: [ | ||
f'{DATA_DIR}5.833333333333333_analysis.json', | ||
f'{DATA_DIR}5.833333333333333_analysis_mapped.json', | ||
], | ||
6.8: [ | ||
f'{DATA_DIR}6.8_analysis.json', | ||
f'{DATA_DIR}6.8_analysis_mapped.json', | ||
], | ||
7.766666666666667: [ | ||
f'{DATA_DIR}7.766666666666667_analysis.json', | ||
f'{DATA_DIR}7.766666666666667_analysis_mapped.json', | ||
], | ||
8.733333333333334: [ | ||
f'{DATA_DIR}8.733333333333334_analysis.json', | ||
f'{DATA_DIR}8.733333333333334_analysis_mapped.json', | ||
], | ||
9.7: [ | ||
f'{DATA_DIR}9.7_analysis.json', | ||
f'{DATA_DIR}9.7_analysis_mapped.json', | ||
], | ||
10.666666666666666: [ | ||
f'{DATA_DIR}10.666666666666666_analysis.json', | ||
f'{DATA_DIR}10.666666666666666_analysis_mapped.json', | ||
], | ||
11.633333333333333: [ | ||
f'{DATA_DIR}11.633333333333333_analysis.json', | ||
f'{DATA_DIR}11.633333333333333_analysis_mapped.json', | ||
], | ||
12.6: [ | ||
f'{DATA_DIR}12.6_analysis.json', | ||
f'{DATA_DIR}12.6_analysis_mapped.json', | ||
], | ||
13.566666666666666: [ | ||
f'{DATA_DIR}13.566666666666666_analysis.json', | ||
f'{DATA_DIR}13.566666666666666_analysis_mapped.json', | ||
], | ||
14.533333333333333: [ | ||
f'{DATA_DIR}14.533333333333333_analysis.json', | ||
f'{DATA_DIR}14.533333333333333_analysis_mapped.json', | ||
], | ||
15.5: [ | ||
f'{DATA_DIR}15.5_analysis.json', | ||
f'{DATA_DIR}15.5_analysis_mapped.json', | ||
], | ||
16.46666666666667: [ | ||
f'{DATA_DIR}16.46666666666667_analysis.json', | ||
f'{DATA_DIR}16.46666666666667_analysis_mapped.json', | ||
], | ||
17.433333333333334: [ | ||
f'{DATA_DIR}17.433333333333334_analysis.json', | ||
f'{DATA_DIR}17.433333333333334_analysis_mapped.json', | ||
], | ||
18.4: [ | ||
f'{DATA_DIR}18.4_analysis.json', | ||
f'{DATA_DIR}18.4_analysis_mapped.json', | ||
], | ||
19.366666666666667: [ | ||
f'{DATA_DIR}19.366666666666667_analysis.json', | ||
f'{DATA_DIR}19.366666666666667_analysis_mapped.json', | ||
], | ||
20.333333333333332: [ | ||
f'{DATA_DIR}20.333333333333332_analysis.json', | ||
f'{DATA_DIR}20.333333333333332_analysis_mapped.json', | ||
], | ||
21.3: [ | ||
f'{DATA_DIR}21.3_analysis.json', | ||
f'{DATA_DIR}21.3_analysis_mapped.json', | ||
], | ||
22.266666666666666: [ | ||
f'{DATA_DIR}22.266666666666666_analysis.json', | ||
f'{DATA_DIR}22.266666666666666_analysis_mapped.json', | ||
], | ||
23.233333333333334: [ | ||
f'{DATA_DIR}23.233333333333334_analysis.json', | ||
f'{DATA_DIR}23.233333333333334_analysis_mapped.json', | ||
], | ||
24.2: [ | ||
f'{DATA_DIR}24.2_analysis.json', | ||
f'{DATA_DIR}24.2_analysis_mapped.json', | ||
], | ||
25.166666666666668: [ | ||
f'{DATA_DIR}25.166666666666668_analysis.json', | ||
f'{DATA_DIR}25.166666666666668_analysis_mapped.json', | ||
], | ||
26.133333333333333: [ | ||
f'{DATA_DIR}26.133333333333333_analysis.json', | ||
f'{DATA_DIR}26.133333333333333_analysis_mapped.json', | ||
], | ||
27.1: [ | ||
f'{DATA_DIR}27.1_analysis.json', | ||
f'{DATA_DIR}27.1_analysis_mapped.json', | ||
], | ||
28.066666666666666: [ | ||
f'{DATA_DIR}28.066666666666666_analysis.json', | ||
f'{DATA_DIR}28.066666666666666_analysis_mapped.json', | ||
], | ||
29.033333333333335: [ | ||
f'{DATA_DIR}29.033333333333335_analysis.json', | ||
f'{DATA_DIR}29.033333333333335_analysis_mapped.json', | ||
], | ||
30.0: [ | ||
f'{DATA_DIR}30.0_analysis.json', | ||
f'{DATA_DIR}30.0_analysis_mapped.json', | ||
], | ||
} |
1 change: 1 addition & 0 deletions
1
examples-proposed/007-jupyter-multiple-runs/2/data/1.0_analysis.json
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{"y1": 0.9523270530176027, "y2": 0.9069268159091918, "y3": 0.8636909418974384} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/1.9666666666666668_analysis.json
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{"y1": 0.9320526762146891, "y2": 0.8687221912389641, "y3": 0.8096948432313654} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/10.666666666666666_analysis.json
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{"y1": 0.6078898932711648, "y2": 0.3695301223412282, "y3": 0.22463362663048966} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/11.633333333333333_analysis.json
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{"y1": 0.5585717821814906, "y2": 0.3120024358494066, "y3": 0.17427575663736924} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/12.6_analysis.json
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{"y1": 0.5071937115038335, "y2": 0.2572454609890339, "y3": 0.13047328012654272} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/13.566666666666666_analysis.json
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{"y1": 0.4539451586745416, "y2": 0.20606620708405476, "y3": 0.09354275707223218} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/14.533333333333333_analysis.json
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{"y1": 0.39902249929017414, "y2": 0.15921895493977703, "y3": 0.06353194533443944} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/15.5_analysis.json
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{"y1": 0.3426282828929847, "y2": 0.11739414023819515, "y3": 0.040222552691511045} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/16.46666666666667_analysis.json
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{"y1": 0.2849704859874796, "y2": 0.0812081778839403, "y3": 0.023141933917744162} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/17.433333333333334_analysis.json
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{"y1": 0.2262617450428579, "y2": 0.051194377269839234, "y3": 0.011583329137456244} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/18.4_analysis.json
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{"y1": 0.16671857230994466, "y2": 0.02779508235306625, "y3": 0.004633956447140542} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/19.366666666666667_analysis.json
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{"y1": 0.10656055734460923, "y2": 0.011355152381593752, "y3": 0.0012100113665155972} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/2.9333333333333336_analysis.json
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{"y1": 0.9083409778210295, "y2": 0.8250833319888641, "y3": 0.7494570005625979} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/20.333333333333332_analysis.json
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{"y1": 0.04600955718237471, "y2": 0.0021168793521182086, "y3": 9.739668159947105e-05} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/21.3_analysis.json
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{"y1": -0.0147111218492198, "y2": 0.00021641710606259217, "y3": -3.1837384175423184e-06} |
1 change: 1 addition & 0 deletions
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examples-proposed/007-jupyter-multiple-runs/2/data/22.266666666666666_analysis.json
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{"y1": -0.07537754766310756, "y2": 0.005681774691704051, "y3": -0.0004282782426349604} |
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examples-proposed/007-jupyter-multiple-runs/2/data/23.233333333333334_analysis.json
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{"y1": -0.13576598825292865, "y2": 0.018432403566294362, "y3": -0.0025024934860547604} |
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examples-proposed/007-jupyter-multiple-runs/2/data/24.2_analysis.json
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{"y1": -0.19565373679537915, "y2": 0.0382803847219955, "y3": -0.007489700316823161} |
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examples-proposed/007-jupyter-multiple-runs/2/data/25.166666666666668_analysis.json
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{"y1": -0.2548199329717902, "y2": 0.06493319823974764, "y3": -0.016546273223096458} |
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examples-proposed/007-jupyter-multiple-runs/2/data/26.133333333333333_analysis.json
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{"y1": -0.31304637747996417, "y2": 0.09799803445332822, "y3": -0.03067792968577112} |
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examples-proposed/007-jupyter-multiple-runs/2/data/27.1_analysis.json
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{"y1": -0.3701183367324485, "y2": 0.13698758318559412, "y3": -0.05070161644165003} |
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examples-proposed/007-jupyter-multiple-runs/2/data/28.066666666666666_analysis.json
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{"y1": -0.42582533477356793, "y2": 0.1813272157350212, "y3": -0.07721372234392437} |
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examples-proposed/007-jupyter-multiple-runs/2/data/29.033333333333335_analysis.json
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{"y1": -0.47996192949472916, "y2": 0.23036345376430337, "y3": -0.11056568775378486} |
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examples-proposed/007-jupyter-multiple-runs/2/data/3.9_analysis.json
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{"y1": 0.8812794043242759, "y2": 0.7766533884861505, "y3": 0.6844486355715051} |
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examples-proposed/007-jupyter-multiple-runs/2/data/30.0_analysis.json
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{"y1": -0.5323284702853673, "y2": 0.2833736002763592, "y3": -0.15084783515437145} |
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examples-proposed/007-jupyter-multiple-runs/2/data/4.866666666666667_analysis.json
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{"y1": 0.8509677562327408, "y2": 0.7241461221477854, "y3": 0.6162250007487411} |
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examples-proposed/007-jupyter-multiple-runs/2/data/5.833333333333333_analysis.json
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{"y1": 0.8175178200206166, "y2": 0.6683353860512612, "y3": 0.5463760878472643} |
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