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" : 4.163650643109154,
"756" : 18.48755510263921,
"317" : 43.81735781308796,
"256" : 51.303943349217825,
"609" : 24.962811212424608,
"394" : 41.06052613146165,
"490" : 30.440858435589597,
"1166" : 8.62117437391183,
"939" : 12.483247265633258,
"1449" : 6.267240443329508
}
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" : 3.004873498591174,
"756" : 12.014928390732772,
"317" : 38.49310293743121,
"256" : 47.08336005901749,
"609" : 16.78544802239984,
"394" : 30.35783033854821,
"490" : 21.952351573242385,
"1166" : 6.451736582862305,
"939" : 8.907727126477255,
"1449" : 4.363641486924804
}
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" : 14.527168381959639,
"756" : 20.171181295765564,
"317" : 37.396475062412875,
"256" : 46.21171614798632,
"609" : 21.781422780815667,
"394" : 35.50371940388399,
"490" : 26.706248051239417,
"1166" : 16.49787448348281,
"939" : 17.143521500025262,
"1449" : 15.096981643937854
}
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" : 6.621606029282629,
"756" : 14.919718793573944,
"317" : 39.29228283635208,
"256" : 46.02013223381205,
"609" : 17.61891659053825,
"394" : 34.124153596303046,
"490" : 24.91070376755455,
"1166" : 9.681804562376504,
"939" : 12.002151726388325,
"1449" : 8.182900850959907
}