old_contents: from bumps.names import *
  
  from sasmodels.data import load_data
  from sasmodels.core import load_model
  from sasmodels.bumps_model import Model, Experiment
  
  # Spherical particle data, not ellipsoids
  sans, usans = load_data('../../sasview/sasview/test/1d_data/latex_smeared.xml')
  usans.qmin, usans.qmax = np.min(usans.x), np.max(usans.x)
  usans.mask = (usans.x < 0.0)
  usans.oriented = True
  #print sans.dxl, usans.dxl
  #import pprint; pprint.pprint(sans.__dict__)
  
  kernel = load_model("ellipsoid")
  
  model = Model(
      kernel,
      scale=0.08, background=0,
      sld=.291, sld_solvent=7.105,
      r_polar=1800, r_polar_pd=0.222296, r_polar_pd_n=0,
      r_equatorial=2600, r_equatorial_pd=0.28, r_equatorial_pd_n=0,
      theta=60, theta_pd=0, theta_pd_n=0,
      phi=60, phi_pd=0, phi_pd_n=0,
      )
  
  # SET THE FITTING PARAMETERS
  model.r_polar.range(1000, 10000)
  model.r_equatorial.range(1000, 10000)
  model.theta.range(0, 360)
  model.phi.range(0, 360)
  model.background.range(0,1000)
  model.scale.range(0, 10)
  
  
  #cutoff = 0     # no cutoff on polydisperisity loops
  #cutoff = 1e-5  # default cutoff
  cutoff = 1e-3  # low precision cutoff
  M = Experiment(data=usans, model=model, cutoff=cutoff)
  problem = FitProblem(M)
  
  
new_contents: from bumps.names import *
  
  from sasmodels.data import load_data
  from sasmodels.core import load_model
  from sasmodels.bumps_model import Model, Experiment
  
  # Spherical particle data, not ellipsoids
  sans, usans = load_data('../../sasview/sasview/test/1d_data/latex_smeared.xml')
  usans.qmin, usans.qmax = np.min(usans.x), np.max(usans.x)
  usans.mask = (usans.x < 0.0)
  usans.oriented = True
  #print sans.dxl, usans.dxl
  #import pprint; pprint.pprint(sans.__dict__)
  
  kernel = load_model("ellipsoid")
  
  model = Model(
      kernel,
      scale=0.08, background=0,
      sld=.291, sld_solvent=7.105,
      radius_polar=1800, radius_polar_pd=0.222296, radius_polar_pd_n=0,
      radius_equatorial=2600, radius_equatorial_pd=0.28, radius_equatorial_pd_n=0,
      theta=60, theta_pd=0, theta_pd_n=0,
      phi=60, phi_pd=0, phi_pd_n=0,
      )
  
  # SET THE FITTING PARAMETERS
  model.radius_polar.range(1000, 10000)
  model.radius_equatorial.range(1000, 10000)
  model.theta.range(0, 360)
  model.phi.range(0, 360)
  model.background.range(0,1000)
  model.scale.range(0, 10)
  
  
  #cutoff = 0     # no cutoff on polydisperisity loops
  #cutoff = 1e-5  # default cutoff
  cutoff = 1e-3  # low precision cutoff
  M = Experiment(data=usans, model=model, cutoff=cutoff)
  problem = FitProblem(M)
  
  
subject: update oriented usans example with renamed parameters