NeuronDeconstructionRotors.scala:113 executed in 0.02 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 0.7993847447202972,
"756" : 4.944464531620932,
"317" : 14.089069202169776,
"256" : 11.595929220318794,
"609" : 8.094242243492179,
"394" : 16.619378973066805,
"490" : 13.68720010074877,
"1166" : 1.7211080189824217,
"939" : 2.8901913007630626,
"1449" : 0.9875816645325868
}
NeuronDeconstructionRotors.scala:113 executed in 0.01 seconds (0.000 gc):
allData.filter(_._1 == layer).filter(_._2 == band).map(t => t._3.toInt -> t._4).toMap
Returns
{
"1800" : 11.029236419684269,
"756" : 13.327093003611816,
"317" : 5.376695484668017,
"256" : 4.776239046504577,
"609" : 12.008264821728366,
"394" : 8.46633860349655,
"490" : 9.974833778315976,
"1166" : 12.543236952582985,
"939" : 13.701692894418189,
"1449" : 12.292339579661641
}
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" : 0.6876374118367069,
"756" : 5.278394175815936,
"317" : 11.521153258532285,
"256" : 9.528988126665354,
"609" : 8.282884357418522,
"394" : 13.200496729314327,
"490" : 12.275408769672916,
"1166" : 2.03528899844625,
"939" : 3.64842100131933,
"1449" : 1.2147499465938516
}
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" : 3.680998371709999,
"756" : 6.149092618670118,
"317" : 12.873340209573508,
"256" : 10.934915107030134,
"609" : 6.68194693701636,
"394" : 11.262162558495998,
"490" : 9.23896719747974,
"1166" : 5.05999332790984,
"939" : 5.894215670994289,
"1449" : 4.247111863808045
}
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" : 11.038840392114725,
"756" : 11.794615872563762,
"317" : 5.443291818350554,
"256" : 3.8399698639718385,
"609" : 10.569363129469261,
"394" : 7.748832466006279,
"490" : 9.266587653160094,
"1166" : 12.113431286343044,
"939" : 11.98511448432683,
"1449" : 11.648252261973125
}
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" : 1.0138385790598925,
"756" : 1.795568890026117,
"317" : 5.698643271438778,
"256" : 10.112280938057946,
"609" : 1.5162652359953392,
"394" : 4.498369313888252,
"490" : 2.250647979551746,
"1166" : 1.1748831788281195,
"939" : 1.8757239067077294,
"1449" : 1.0071549066967844
}
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" : 0.7074924869054421,
"756" : 2.2327028444514756,
"317" : 7.816183984931558,
"256" : 9.855059773589556,
"609" : 2.1665921341288894,
"394" : 5.875138509377837,
"490" : 4.357987384796143,
"1166" : 1.7586998014042596,
"939" : 2.466787177493028,
"1449" : 1.0959000007937174
}
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" : 5.9983018578271015,
"756" : 9.26710721496656,
"317" : 3.3887772511690857,
"256" : 1.551556886245425,
"609" : 7.027611437417733,
"394" : 3.6407653470039367,
"490" : 4.897816379454828,
"1166" : 7.664162756360445,
"939" : 8.758925840051713,
"1449" : 6.954783325764704
}
