NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 3.7762516676799387,
"756" : 27.641420624335296,
"317" : 37.82328427604266,
"256" : 26.93845511566509,
"609" : 38.48774599770352,
"394" : 47.1239199126468,
"490" : 44.30956029390684,
"1166" : 12.314290288484793,
"939" : 19.34526271850311,
"1449" : 7.0811821688976595
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 9.812520569995442,
"756" : 33.39706665335689,
"317" : 9.766438515803644,
"256" : 3.793582257899371,
"609" : 31.30751852644148,
"394" : 19.109922589484384,
"490" : 29.99237124431884,
"1166" : 20.25710218664918,
"939" : 29.29350394809676,
"1449" : 13.801550164759707
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 22.829460904081312,
"756" : 26.698001993742462,
"317" : 19.519913267876422,
"256" : 19.368770216845654,
"609" : 24.89506268545368,
"394" : 27.232703178560033,
"490" : 25.16132665531976,
"1166" : 26.444144536017006,
"939" : 27.042066462716814,
"1449" : 24.41534036912267
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 8.202778398582717,
"756" : 16.567029751099955,
"317" : 18.294392304761068,
"256" : 10.108152638443492,
"609" : 18.6924412519739,
"394" : 20.099385819154627,
"490" : 22.064618668569032,
"1166" : 13.558330268700896,
"939" : 16.961794173429965,
"1449" : 10.291814266443467
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 0.04039003628545103,
"756" : 2.9510226402198896,
"317" : 15.425693347837244,
"256" : 21.965937636115335,
"609" : 3.4858661516766105,
"394" : 14.677862495604684,
"490" : 8.807030863567798,
"1166" : 0.9846158899514742,
"939" : 1.8084258032085998,
"1449" : 0.12700847777788155
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 0.8745109683481816,
"756" : 6.562233532267328,
"317" : 16.44705196512597,
"256" : 9.774904430759223,
"609" : 10.131269756293097,
"394" : 20.09118356163011,
"490" : 16.625409466273133,
"1166" : 1.7717799793007563,
"939" : 3.2693484855353545,
"1449" : 0.9384941812299314
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 8.685467390676516,
"756" : 15.661691376105106,
"317" : 2.4727522896070564,
"256" : 0.17180439067835157,
"609" : 18.519130511558384,
"394" : 6.410984993541942,
"490" : 14.457098207532352,
"1166" : 14.057290856571031,
"939" : 16.755283515128117,
"1449" : 11.382829750487234
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 15.27707624426194,
"756" : 12.605392318049175,
"317" : 6.883140611089766,
"256" : 5.2003814066675575,
"609" : 10.611529179402357,
"394" : 6.3056358172963645,
"490" : 7.005374515958462,
"1166" : 18.381870226867377,
"939" : 16.862513160605836,
"1449" : 18.26369393450213
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 17.890252869396434,
"756" : 9.70479494339088,
"317" : 1.943293166586331,
"256" : 2.2488538270646874,
"609" : 6.8473547746737795,
"394" : 3.6926533157685224,
"490" : 6.271442225909636,
"1166" : 15.069027845881857,
"939" : 12.851186628589833,
"1449" : 17.748457120535846
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 13.307442385062004,
"756" : 12.062415293228696,
"317" : 0.9916328111929553,
"256" : 2.455028983891349,
"609" : 7.277826055803536,
"394" : 2.100092934913495,
"490" : 4.977460157555369,
"1166" : 17.289521405931072,
"939" : 16.199550570977586,
"1449" : 15.465633257924221
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 11.623607420029893,
"756" : 10.976272387430072,
"317" : 1.7948649856661048,
"256" : 1.874004402875223,
"609" : 7.1478538489377,
"394" : 4.068327687067144,
"490" : 3.824826485870804,
"1166" : 15.78477468587581,
"939" : 15.54652041069247,
"1449" : 13.961860076725817
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 15.013163654820934,
"756" : 1.4112472842292239,
"317" : 0.007325267791748047,
"256" : 0.0,
"609" : 0.6310936783750852,
"394" : 0.035624628628001496,
"490" : 0.17560042333309916,
"1166" : 8.137567255661612,
"939" : 3.9606320187319937,
"1449" : 12.956382477920757
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 14.4994359697529,
"756" : 2.0480468854463347,
"317" : 0.005607098340988159,
"256" : 0.0,
"609" : 0.6792446279079016,
"394" : 0.0938151234738967,
"490" : 0.3067506652457007,
"1166" : 10.589043546229526,
"939" : 5.641969472649096,
"1449" : 13.97777626397824
}
NeuronDeconstructionRotors.scala:113 executed in 0.00 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 11.009042048804176,
"756" : 8.409053061026498,
"317" : 3.318116081399577,
"256" : 2.7620295369150965,
"609" : 8.423145332059564,
"394" : 3.2220130829250113,
"490" : 6.347140192436183,
"1166" : 14.250087158231135,
"939" : 13.586440047962363,
"1449" : 12.538850769446231
}
