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.neuron0x55a5f0c1aee0();
      return 0.
   def neuron0x55a5edeb7070(self):
      return self.input0
   def neuron0x55a5f02d3630(self):
      return self.input1
   def neuron0x55a5f01b1380(self):
      return self.input2
   def neuron0x55a5f01fd620(self):
      input = 0.591557
      input = input + self.synapse0x55a5f0c199c0()
      input = input + self.synapse0x55a5f0c19a50()
      input = input + self.synapse0x55a5f0c19a90()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f01e5b80(self):
      input = -0.292795
      input = input + self.synapse0x55a5f0c19bf0()
      input = input + self.synapse0x55a5f0c19c30()
      input = input + self.synapse0x55a5f0c19c70()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f029f210(self):
      input = -2.58567
      input = input + self.synapse0x55a5f0c19e60()
      input = input + self.synapse0x55a5f0c19ea0()
      input = input + self.synapse0x55a5f0c19ee0()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f01ff3c0(self):
      input = -1.617
      input = input + self.synapse0x55a5f0c1a0d0()
      input = input + self.synapse0x55a5f0c1a110()
      input = input + self.synapse0x55a5f0c1a150()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5efd89cf0(self):
      input = 0.505817
      input = input + self.synapse0x55a5f0c1a340()
      input = input + self.synapse0x55a5f0c1a380()
      input = input + self.synapse0x55a5f0c1a3c0()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5ef3ee5b0(self):
      input = 0.799354
      input = input + self.synapse0x55a5f0c1a5b0()
      input = input + self.synapse0x55a5f0c1a5f0()
      input = input + self.synapse0x55a5f0c1a740()
      input = input + self.synapse0x55a5f0c1a780()
      input = input + self.synapse0x55a5f0c1a7c0()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f01b77b0(self):
      input = 0.0637649
      input = input + self.synapse0x55a5f0c1a920()
      input = input + self.synapse0x55a5f0c1a960()
      input = input + self.synapse0x55a5f0c1a9a0()
      input = input + self.synapse0x55a5f0c1a9e0()
      input = input + self.synapse0x55a5f0c1aa20()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f0c1aa60(self):
      input = 0.282192
      input = input + self.synapse0x55a5f0c1ada0()
      input = input + self.synapse0x55a5f0c1ade0()
      input = input + self.synapse0x55a5f0c1ae20()
      input = input + self.synapse0x55a5f0c1ae60()
      input = input + self.synapse0x55a5f0c1aea0()
      if input<-709. : return 0
      return ((1/(1+exp(-input)))*1)+0
   def neuron0x55a5f0c1aee0(self):
      input = 0.380964
      input = input + self.synapse0x55a5f0c1b220()
      input = input + self.synapse0x55a5f0c1b260()
      input = input + self.synapse0x55a5f0c1b2a0()
      return (input*1)+0
   def synapse0x55a5f0c199c0(self):
      return (self.neuron0x55a5edeb7070()*-1.06341)
   def synapse0x55a5f0c19a50(self):
      return (self.neuron0x55a5f02d3630()*0.54656)
   def synapse0x55a5f0c19a90(self):
      return (self.neuron0x55a5f01b1380()*2.24719)
   def synapse0x55a5f0c19bf0(self):
      return (self.neuron0x55a5edeb7070()*0.35496)
   def synapse0x55a5f0c19c30(self):
      return (self.neuron0x55a5f02d3630()*0.283683)
   def synapse0x55a5f0c19c70(self):
      return (self.neuron0x55a5f01b1380()*-0.750035)
   def synapse0x55a5f0c19e60(self):
      return (self.neuron0x55a5edeb7070()*0.407864)
   def synapse0x55a5f0c19ea0(self):
      return (self.neuron0x55a5f02d3630()*-2.75106)
   def synapse0x55a5f0c19ee0(self):
      return (self.neuron0x55a5f01b1380()*2.81265)
   def synapse0x55a5f0c1a0d0(self):
      return (self.neuron0x55a5edeb7070()*-0.616421)
   def synapse0x55a5f0c1a110(self):
      return (self.neuron0x55a5f02d3630()*-1.66167)
   def synapse0x55a5f0c1a150(self):
      return (self.neuron0x55a5f01b1380()*1.96843)
   def synapse0x55a5f0c1a340(self):
      return (self.neuron0x55a5edeb7070()*-0.353022)
   def synapse0x55a5f0c1a380(self):
      return (self.neuron0x55a5f02d3630()*-1.30715)
   def synapse0x55a5f0c1a3c0(self):
      return (self.neuron0x55a5f01b1380()*-0.751448)
   def synapse0x55a5f0c1a5b0(self):
      return (self.neuron0x55a5f01fd620()*-0.446266)
   def synapse0x55a5f0c1a5f0(self):
      return (self.neuron0x55a5f01e5b80()*-0.540938)
   def synapse0x55a5f0c1a740(self):
      return (self.neuron0x55a5f029f210()*0.129226)
   def synapse0x55a5f0c1a780(self):
      return (self.neuron0x55a5f01ff3c0()*0.0730231)
   def synapse0x55a5f0c1a7c0(self):
      return (self.neuron0x55a5efd89cf0()*-1.07317)
   def synapse0x55a5f0c1a920(self):
      return (self.neuron0x55a5f01fd620()*0.490477)
   def synapse0x55a5f0c1a960(self):
      return (self.neuron0x55a5f01e5b80()*1.12816)
   def synapse0x55a5f0c1a9a0(self):
      return (self.neuron0x55a5f029f210()*1.91067)
   def synapse0x55a5f0c1a9e0(self):
      return (self.neuron0x55a5f01ff3c0()*0.0252189)
   def synapse0x55a5f0c1aa20(self):
      return (self.neuron0x55a5efd89cf0()*-0.977267)
   def synapse0x55a5f0c1ada0(self):
      return (self.neuron0x55a5f01fd620()*-0.323487)
   def synapse0x55a5f0c1ade0(self):
      return (self.neuron0x55a5f01e5b80()*-0.441199)
   def synapse0x55a5f0c1ae20(self):
      return (self.neuron0x55a5f029f210()*-1.06889)
   def synapse0x55a5f0c1ae60(self):
      return (self.neuron0x55a5f01ff3c0()*-0.373079)
   def synapse0x55a5f0c1aea0(self):
      return (self.neuron0x55a5efd89cf0()*0.0270681)
   def synapse0x55a5f0c1b220(self):
      return (self.neuron0x55a5ef3ee5b0()*-3.87753)
   def synapse0x55a5f0c1b260(self):
      return (self.neuron0x55a5f01b77b0()*2.43565)
   def synapse0x55a5f0c1b2a0(self):
      return (self.neuron0x55a5f0c1aa60()*-0.263564)