test.py

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from math import exp
 
from math import tanh
 
class test:
   def value(self,index,in0,in1,in2):
      self.input0 = (in0 - 0.459987)/0.0509152
      self.input1 = (in1 - 0.188581)/0.0656804
      self.input2 = (in2 - 134.719)/16.5033
      if index==0: return self.neuron0x55eb5f6d2dc0();
      return 0.
   def neuron0x55eb5eb228b0(self):
      return self.input0
   def neuron0x55eb5e941e70(self):
      return self.input1
   def neuron0x55eb5e7e3990(self):
      return self.input2
   def neuron0x55eb5eee3ec0(self):
      input = 0.229263
      input = input + self.synapse0x55eb5f6d1b80()
      input = input + self.synapse0x55eb5f6d0e00()
      input = input + self.synapse0x55eb5f6d0e40()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5eb25110(self):
      input = -0.024024
      input = input + self.synapse0x55eb5f6d1030()
      input = input + self.synapse0x55eb5f6d1070()
      input = input + self.synapse0x55eb5f6d10b0()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5eed1b70(self):
      input = 0.985243
      input = input + self.synapse0x55eb5f6d12a0()
      input = input + self.synapse0x55eb5f6d12e0()
      input = input + self.synapse0x55eb5f6d1320()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5eb21f90(self):
      input = 0.019661
      input = input + self.synapse0x55eb5f6d1480()
      input = input + self.synapse0x55eb5f6d1c50()
      input = input + self.synapse0x55eb5f6d1c90()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5f6d1cd0(self):
      input = 1.0818
      input = input + self.synapse0x55eb5f6d2010()
      input = input + self.synapse0x55eb5f6d2050()
      input = input + self.synapse0x55eb5f6d2090()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5f6d20d0(self):
      input = 0.748884
      input = input + self.synapse0x55eb5f6d2410()
      input = input + self.synapse0x55eb5f6d2450()
      input = input + self.synapse0x55eb5f6d2490()
      input = input + self.synapse0x55eb5f6d24d0()
      input = input + self.synapse0x55eb5f6d2510()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5f6d2550(self):
      input = -1.02429
      input = input + self.synapse0x55eb5f6d2800()
      input = input + self.synapse0x55eb5f6d2840()
      input = input + self.synapse0x55eb5f6d2880()
      input = input + self.synapse0x55eb5f6d28c0()
      input = input + self.synapse0x55eb5f6d2900()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5f6d2940(self):
      input = -1.04001
      input = input + self.synapse0x55eb5f6d2c80()
      input = input + self.synapse0x55eb5f6d2cc0()
      input = input + self.synapse0x55eb5f6d2d00()
      input = input + self.synapse0x55eb5f6d2d40()
      input = input + self.synapse0x55eb5f6d2d80()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55eb5f6d2dc0(self):
      input = -0.0757511
      input = input + self.synapse0x55eb5f6d3100()
      input = input + self.synapse0x55eb5f6d3140()
      input = input + self.synapse0x55eb5f6d3180()
      return (input*1)+0
   def synapse0x55eb5f6d1b80(self):
      return (self.neuron0x55eb5eb228b0()*0.600304)
   def synapse0x55eb5f6d0e00(self):
      return (self.neuron0x55eb5e941e70()*3.46)
   def synapse0x55eb5f6d0e40(self):
      return (self.neuron0x55eb5e7e3990()*-1.36065)
   def synapse0x55eb5f6d1030(self):
      return (self.neuron0x55eb5eb228b0()*0.832061)
   def synapse0x55eb5f6d1070(self):
      return (self.neuron0x55eb5e941e70()*2.60925)
   def synapse0x55eb5f6d10b0(self):
      return (self.neuron0x55eb5e7e3990()*-3.38808)
   def synapse0x55eb5f6d12a0(self):
      return (self.neuron0x55eb5eb228b0()*-1.04713)
   def synapse0x55eb5f6d12e0(self):
      return (self.neuron0x55eb5e941e70()*3.0736)
   def synapse0x55eb5f6d1320(self):
      return (self.neuron0x55eb5e7e3990()*-2.14683)
   def synapse0x55eb5f6d1480(self):
      return (self.neuron0x55eb5eb228b0()*-0.054563)
   def synapse0x55eb5f6d1c50(self):
      return (self.neuron0x55eb5e941e70()*0.209328)
   def synapse0x55eb5f6d1c90(self):
      return (self.neuron0x55eb5e7e3990()*1.11529)
   def synapse0x55eb5f6d2010(self):
      return (self.neuron0x55eb5eb228b0()*-1.36506)
   def synapse0x55eb5f6d2050(self):
      return (self.neuron0x55eb5e941e70()*0.624052)
   def synapse0x55eb5f6d2090(self):
      return (self.neuron0x55eb5e7e3990()*2.96922)
   def synapse0x55eb5f6d2410(self):
      return (self.neuron0x55eb5eee3ec0()*0.113813)
   def synapse0x55eb5f6d2450(self):
      return (self.neuron0x55eb5eb25110()*0.138507)
   def synapse0x55eb5f6d2490(self):
      return (self.neuron0x55eb5eed1b70()*0.702617)
   def synapse0x55eb5f6d24d0(self):
      return (self.neuron0x55eb5eb21f90()*0.617661)
   def synapse0x55eb5f6d2510(self):
      return (self.neuron0x55eb5f6d1cd0()*-0.591285)
   def synapse0x55eb5f6d2800(self):
      return (self.neuron0x55eb5eee3ec0()*0.865994)
   def synapse0x55eb5f6d2840(self):
      return (self.neuron0x55eb5eb25110()*-0.448593)
   def synapse0x55eb5f6d2880(self):
      return (self.neuron0x55eb5eed1b70()*-1.00933)
   def synapse0x55eb5f6d28c0(self):
      return (self.neuron0x55eb5eb21f90()*-3.30009)
   def synapse0x55eb5f6d2900(self):
      return (self.neuron0x55eb5f6d1cd0()*1.92884)
   def synapse0x55eb5f6d2c80(self):
      return (self.neuron0x55eb5eee3ec0()*-1.40135)
   def synapse0x55eb5f6d2cc0(self):
      return (self.neuron0x55eb5eb25110()*-1.53593)
   def synapse0x55eb5f6d2d00(self):
      return (self.neuron0x55eb5eed1b70()*-2.77468)
   def synapse0x55eb5f6d2d40(self):
      return (self.neuron0x55eb5eb21f90()*-1.10669)
   def synapse0x55eb5f6d2d80(self):
      return (self.neuron0x55eb5f6d1cd0()*1.67305)
   def synapse0x55eb5f6d3100(self):
      return (self.neuron0x55eb5f6d20d0()*-0.114539)
   def synapse0x55eb5f6d3140(self):
      return (self.neuron0x55eb5f6d2550()*1.68214)
   def synapse0x55eb5f6d3180(self):
      return (self.neuron0x55eb5f6d2940()*1.57208)