//+------------------------------------------------------------------+
//|                                             NeuronPrimitives.mqh |
//|                                                     AnimateDread |
//|                                             https://www.mql5.com |
//+------------------------------------------------------------------+
//| CConnection/CArrayCon - the per-synapse weight (+ Adam moment)   |
//| storage and its owning array, used by the CPU-only CNeuronBase/  |
//| CNeuron neuron family (AI\NeuronCPU.mqh) as their fallback last- |
//| resort weight representation (no DLL import, no OpenCL/DirectML).|
//| Extracted verbatim out of AI\Network.mqh's own god-file (SOLID   |
//| cleanup) - no logic changes, this is the exact original code.    |
//+------------------------------------------------------------------+
#include <Arrays\ArrayObj.mqh>
class CConnection : public CObject
  {
public:
   double            weight;
   double            deltaWeight;
   double            mt;
   double            vt;

                     CConnection(double w) { weight = w; deltaWeight = 0; mt = 0; vt = 0; }
                    ~CConnection() {};
   //--- methods for working with files
   virtual bool      Save(int const file_handle);
   virtual bool      Load(int const file_handle);
   virtual int       Type(void)   const   {  return defConnect;   }
  };
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
bool CConnection::Save(int file_handle)
  {
   if(file_handle == INVALID_HANDLE)
      return false;
//---
   if(FileWriteDouble(file_handle, weight) <= 0)
      return false;
   if(FileWriteDouble(file_handle, deltaWeight) <= 0)
      return false;
   if(FileWriteDouble(file_handle, mt) <= 0)
      return false;
   if(FileWriteDouble(file_handle, vt) <= 0)
      return false;
//---
   return true;
  }
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
bool CConnection::Load(int file_handle)
  {
   if(file_handle == INVALID_HANDLE)
      return false;
//---
   weight = FileReadDouble(file_handle);
   deltaWeight = FileReadDouble(file_handle);
   mt = FileReadDouble(file_handle);
   vt = FileReadDouble(file_handle);
//---
   return true;
  }
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
class CArrayCon  :    public CArrayObj
  {
public:
                     CArrayCon(void) {};
                    ~CArrayCon(void) {};
   //---
   virtual bool      CreateElement(int const index);
   virtual void      IncreaseTotal()   {  m_data_total++;   }
   virtual int       Type(void)  const { return defArrayConnects; }
  };
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
bool CArrayCon::CreateElement(int index)
  {
   if(index < 0 || index >= m_data_max)
      return false;
//---
   // Not fan-in-scaled like the CNeuronBaseOCL/CNeuronConvOCL/CNeuronLSTMOCL weight-init sites below
   // (see those for the LeCun-uniform rationale) - this legacy per-connection constructor has no
   // visibility into how many neurons share its (sending) layer, and this class family is only ever
   // reached as the deepest last-resort fallback (no DLL import, no OpenCL, no DirectML), not by the
   // live WarriorCPU.dll/WarriorDML.dll/OpenCL tiers this EA actually trains on.
   double weigh = (MathRand() + 1) / 32768.0 - 0.5;
   if(weigh == 0)
      weigh = 0.001;
   m_data[index] = new CConnection(weigh);
   if(CheckPointer(m_data[index]) == POINTER_INVALID)
      return false;
//---
   return (true);
  }
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+