# To reproduce the data needed for clamping experiments in associated original paper,

def VrampExp(simFign,simfile,Vinit, paraKeys,paras,outKeys):

   import opencor as oc
   import numpy as np
   # The prefix of the saved output file name: simFign  
   # Load the simulation file
   simulation = oc.open_simulation(simfile)
   # The data object houses all the relevant information
   # and pointers to the OpenCOR internal data representations
   data = simulation.data()   
   # Define the interval of interest for this simulation experiment
   start, duration,pointInterval = 0, 280, 0.1
   data.set_starting_point(start)
   data.set_point_interval(pointInterval)
   data.set_ending_point(duration) 
   # Data to save
   varName = np.array(['V']+outKeys)
   vars = np.reshape(varName, (1, len(varName)))
   # start to save 
   rows=int((duration)/pointInterval+1)
   r = np.zeros((rows,len(varName)))
   
   for i, V in enumerate(Vinit): 
      # Reset states and parameters
      simulation.reset(True)
      # Set constant parameter values
      data.states()['outputs/V'] = Vinit[i]      
      for j, para in enumerate(paras):
         data.constants()[paraKeys[j]] = para
   
      simulation.run()
      # Access simulation results
      results = simulation.results()
      # Grab a specific algebraic variable results
      r[:,0]=results.states()['outputs/V'].values()[-rows:]
      for j, outKey in enumerate(outKeys): 
         r[:,j+1] = results.algebraic()[outKey].values()[-rows:]
             
      # clear the results except the last run
      simulation.clear_results()
   
    # Save the simulation result of the last run
   filename='../simulatedData/sim%s.csv' % (simFign)
   np.savetxt(filename, vars, fmt='%s',delimiter=",")
   with open(filename, "ab") as f:
       np.savetxt(f, r, delimiter=",")
   f.close