text: import sys
  sys.path.append('../code')
  from tools import load_data_tools as ldt
  from tools import emg_tools as et
  from AfferentInput import AfferentInput
  import matplotlib.pyplot as plt
  import numpy as np
  import pickle
  
  
  """ get gait cycles """
  kinFile = "./generateForSimInputs/data/rat/#208_100903_P0_BIP_TM9_4_KIN.csv"
  footHeight = ldt.readGlabRecordedAnalogData(kinFile,['height'],["RTip_Z"])
  footHeight['dt'] = 0.005
  footHeight['time'] = np.arange(len(footHeight['height']))*footHeight['dt']
  
  
  fig1,ax = plt.subplots(1,figsize=(12,6))
  ax.plot(footHeight['time']-footHeight['time'][0],footHeight['height'])
  
  fig1.suptitle("Please select all heel strikes")
  plt.draw()
  plt.pause(1)
  temp = fig1.ginput(n=0,timeout=240)
  if len(temp)==0: raise(Exception("no heel strikes detected..."))
  else: heelStrikes = np.atleast_1d([ float(x) for x,_ in temp])
  print heelStrikes
  
  fig1.suptitle("Please select all foot offs")
  plt.draw()
  plt.pause(1)
  temp = fig1.ginput(n=0,timeout=240)
  if len(temp)==0: raise(Exception("no foot offs detected..."))
  else: footOffs = np.atleast_1d([ float(x) for x,_ in temp])
  print footOffs
  
  plt.draw()
  
  gaitCyclesFileName = "./generateForSimInputs/output/ratGaitCycles.p"
  with open(gaitCyclesFileName, 'w') as pickle_file:
      pickle.dump(heelStrikes, pickle_file)
      pickle.dump(footOffs, pickle_file)
  