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" : 3.5110012090276475,
"756" : 7.153049269322461,
"317" : 13.14324492599283,
"256" : 9.128738412464207,
"609" : 7.922480083928541,
"394" : 13.220991571159924,
"490" : 10.145931749826385,
"1166" : 5.081463264875783,
"939" : 6.362674651730616,
"1449" : 4.268655955359283
}
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" : 0.6202334449477603,
"756" : 2.3922044963692315,
"317" : 10.248553805053234,
"256" : 11.650349123911424,
"609" : 3.5507813789670517,
"394" : 7.129802058444303,
"490" : 5.120375241460522,
"1166" : 1.030277933822286,
"939" : 1.6529914946563669,
"1449" : 0.8995014585190862
}
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" : 0.3218838361899058,
"756" : 2.0724974205950275,
"317" : 9.127111964247057,
"256" : 10.482419321482832,
"609" : 2.799255880863356,
"394" : 6.781795232892036,
"490" : 4.088845339673822,
"1166" : 0.6576626950305768,
"939" : 1.1424281731247903,
"1449" : 0.5300118907698209
}
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" : 2.0388621069407393,
"756" : 5.134241685504094,
"317" : 9.58345095584435,
"256" : 8.093614864840426,
"609" : 6.708520317762444,
"394" : 8.89118813774165,
"490" : 7.903230056487104,
"1166" : 3.3754462910483327,
"939" : 4.035650296364043,
"1449" : 2.5765063705889517
}
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" : 0.5551488068572363,
"756" : 2.1408815309696365,
"317" : 5.4960281023888715,
"256" : 9.521349158307368,
"609" : 2.825126512428007,
"394" : 3.503696250845404,
"490" : 2.753199366334763,
"1166" : 1.1688541209011196,
"939" : 1.7647127808529441,
"1449" : 0.7684654768652324
}
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" : 0.6122452955901798,
"756" : 2.501310813885842,
"317" : 9.142263043352536,
"256" : 8.328404856676405,
"609" : 4.198719378068485,
"394" : 7.764387755972497,
"490" : 5.988496440427003,
"1166" : 1.3996287334938438,
"939" : 2.0137678275800357,
"1449" : 0.9542149081396705
}
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" : 2.4509862192085006,
"756" : 4.159537680379192,
"317" : 9.058093091153673,
"256" : 8.952485280111432,
"609" : 5.605592292838195,
"394" : 8.783222105362835,
"490" : 6.982885436024717,
"1166" : 3.2214943571779058,
"939" : 3.833188315449377,
"1449" : 2.7746565037940005
}
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" : 7.17027609372561,
"756" : 7.406723327818327,
"317" : 6.2446432745882445,
"256" : 6.313495912673798,
"609" : 7.300021573166405,
"394" : 7.488384828707751,
"490" : 6.703879023523008,
"1166" : 7.1660169466001085,
"939" : 7.204567928637489,
"1449" : 6.868563421775233
}
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" : 1.4152810403572775,
"756" : 2.4074946095061023,
"317" : 6.0808235063084535,
"256" : 6.956980309703133,
"609" : 2.886550222525347,
"394" : 5.170587256375481,
"490" : 4.220488214410395,
"1166" : 2.0672093679785295,
"939" : 2.206066429191979,
"1449" : 1.6826051275293326
}
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" : 0.5421618277608118,
"756" : 1.8706367640115786,
"317" : 4.82730419082301,
"256" : 6.610993421890519,
"609" : 2.1859679513370263,
"394" : 3.921106081815327,
"490" : 3.1545018100976576,
"1166" : 0.8483037343772057,
"939" : 1.2440576109277495,
"1449" : 0.6978070391011526
}
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" : 0.7844689532156187,
"756" : 2.721146503230557,
"317" : 5.775249245337077,
"256" : 6.6008701432834975,
"609" : 3.5059597481637312,
"394" : 5.97353788859704,
"490" : 4.205157031066223,
"1166" : 1.5578133781212216,
"939" : 2.305047984534906,
"1449" : 1.1308345665369695
}
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" : 3.127305253839071,
"756" : 3.728754073594852,
"317" : 4.304234014983688,
"256" : 6.547472765838558,
"609" : 3.445439680146983,
"394" : 5.196924163173227,
"490" : 4.345234842619039,
"1166" : 3.0520008731678208,
"939" : 3.0980527399328808,
"1449" : 3.0670406210424663
}
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" : 2.357699273880956,
"756" : 4.390603491202152,
"317" : 4.8860943827245915,
"256" : 6.320316684516993,
"609" : 4.9799110777749584,
"394" : 5.827896149088355,
"490" : 5.625846741111597,
"1166" : 2.9290604785913725,
"939" : 3.468354979283729,
"1449" : 2.6211471811079203
}
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" : 0.5209988026430825,
"756" : 1.69382321939338,
"317" : 3.1599855600191016,
"256" : 6.2135586926967585,
"609" : 1.8777777090139642,
"394" : 2.5505358662850717,
"490" : 1.8881556557665955,
"1166" : 1.3165119793333753,
"939" : 1.7177321218048869,
"1449" : 0.7869911860547781
}