text: import numpy
  
  #creates the file and populate w/ parms sets 
  #parameter_space will be iterated by autom.py
  #number of points in spaces will 
  #greatly increase computational time
  f = open('parameter_space.txt', 'w')
  
  #Parameters and format accordingly to ZAMS.for
  #The values below were 'inspired' by Hanser & Kawaler
  
  #Central Temperature (K)
  temperatures = numpy.logspace(5, 7, num = 3)
  
  #Central Pressure (cgs)
  pressures = numpy.logspace(13, 16, num = 4)
  
  #Mass (M_sun)
  mass = [0.1, 0.5, 1, 2, 5, 10, 50]
  #mass = numpy.linspace(0.7, 0.8, num = 10)
  
  #H %, He%
  Xs = numpy.linspace(0.7, 0.75, num = 5)
  Ys = numpy.linspace(0.25, 0.3, num = 5)
  
  #Luminosity (L_sun)
  Ls = numpy.logspace(-3,5, num = 9)
  
  #Radius (cm)
  Rs = numpy.logspace(9,11, num = 5)
  
  for t in temperatures:
      for p in pressures:
          for x in Xs:
              for y in Ys:
                  for l in Ls:
                      for r in Rs:
                          for m in mass:
                              #print(m, x, y, p, t, r, l)
                              s  = "{0:.2f}".format(m) + ', '
                              s += "{0:.2f}".format(x) + ', '
                              s += "{0:.2f}".format(y) + ', '
                              s += "{0:.2E}".format(p) + ', '
                              s += "{0:.2E}".format(t) + ', '
                              s += "{0:.2E}".format(r) + ', '
                              s += "{0:.2f}".format(l) + '\n'
                              #print(s)
                              f.write(s)
  