def GenerateConfigurationsRMAX(N):
  parameter_sets = []
  a = parameter_sets.append
  compressionFactors = np.random.permutation(myutils.random_stratified(0.5, 1.0, N))
  for cf in compressionFactors:
    c = deepcopy(circumferentialgrowth7)
    c['vessels']['radMax'] = 14. * cf
    a(c)
  return parameter_sets
def GenerateConfigurationsCompression2(N):
  parameter_sets = []
  a = parameter_sets.append
  compressionFactors = np.random.permutation(myutils.random_stratified(0.5, 1.0, N))
  for cf in compressionFactors:
    c = deepcopy(circumferentialgrowth7)
    c['vessels']['vesselCompressionFactor'] = cf
    c['vessels']['radMax'] = 14.
    c['tissuePressureDistribution'] = 'sphere'
    c['tissuePressureWidth'] = 400.
    a(c)
  return parameter_sets