old_contents: import numpy as np
  from bumps.names import *
  
  from sasmodels import bumps_model as sas
  kernel = sas.load_model('sphere', dtype='single')
  #kernel = sas.load_model('triaxial_ellipsoid', dtype='single')
  
  
  if True: # fix when data loader exists
  #    from sas.dataloader.readers\
      from sas.dataloader.loader import Loader
      loader=Loader()
      data=loader.load('testsasview1.ses')
      data.x /=10
      
  #    data = load_sesans('mydatfile.pz')
  #    sans_data = load_sans('mysansfile.xml')
  
  else:
      SElength = np.linspace(0, 2400, 61) # [A]
      data = np.ones_like(SElength)
      err_data = np.ones_like(SElength)*0.03
  
      class Sample:
          zacceptance = 0.1 # [A^-1]
          thickness = 0.2 # [cm]
          
      class SESANSData1D:
          #q_zmax = 0.23 # [A^-1]
          lam = 0.2 # [nm]
          x = SElength
          y = data
          dy = err_data
          sample = Sample()
      data = SESANSData1D()
  
  radius = 1000
  data.Rmax = 3*radius # [A]
  
  ##  Sphere parameters
  
  phi = Parameter(0.1, name="phi")
  model = sas.BumpsModel(data, kernel,
      scale=phi*(1-phi), sld=7.0, solvent_sld=1.0, radius=radius)
  phi.range(0.001,0.90)
  #model.radius.pmp(40)
  model.radius.range(100,10000)
  #model.sld.pmp(5)
  #model.background
  #model.radius_pd=0
  #model.radius_pd_n=0
  
  if False: # have sans data
      sansmodel = sas.BumpsModel(sans_data, kernel, **model.parameters())
      problem = FitProblem([model, sansmodel])
  else:
      problem = FitProblem(model)
  
  
  ### Tri-Axial Ellipsoid
  #
  #phi = Parameter(0.1, name='phi')
  #model = sas.BumpsModel(data, kernel,
  #    scale=phi*(1-phi), sld=7.0, solvent_sld=1.0, radius=radius)
  #phi.range(0.001,0.90)
  ##model.radius.pmp(40)
  #model.radius.range(100,10000)
  ##model.sld.pmp(5)
  ##model.background
  ##model.radius_pd=0
  ##model.radius_pd_n=0
  #
  #if False: # have sans data
  #    sansmodel = sas.BumpsModel(sans_data, kernel, **model.parameters())
  #    problem = FitProblem([model, sansmodel])
  #else:
  #    problem = FitProblem(model)
  
new_contents: import numpy as np
  from bumps.names import *
  
  from sasmodels import core, bumps_model
  
  kernel = core.load_model("sphere", dtype='single')
  
  
  
  if True: # fix when data loader exists
  #    from sas.dataloader.readers\
      from sas.dataloader.loader import Loader
      loader=Loader()
      filename = 'testsasview1.ses'
      data=loader.load(filename)
      if data is None: raise IOError("Could not load file %r"%(filename,))
      print dir(data), type(data)
      data.x /=10
      
  #    data = load_sesans('mydatfile.pz')
  #    sans_data = load_sans('mysansfile.xml')
  
  else:
      SElength = np.linspace(0, 2400, 61) # [A]
      data = np.ones_like(SElength)
      err_data = np.ones_like(SElength)*0.03
  
      class Sample:
          zacceptance = 0.1 # [A^-1]
          thickness = 0.2 # [cm]
          
      class SESANSData1D:
          #q_zmax = 0.23 # [A^-1]
          lam = 0.2 # [nm]
          x = SElength
          y = data
          dy = err_data
          sample = Sample()
      data = SESANSData1D()
  
  radius = 1000
  data.Rmax = 3*radius # [A]
  
  ##  Sphere parameters
  
  phi = Parameter(0.1, name="phi")
  model = bumps_model.BumpsModel(data, kernel,
      scale=phi*(1-phi), sld=7.0, solvent_sld=1.0, radius=radius)
  phi.range(0.001,0.90)
  #model.radius.pmp(40)
  model.radius.range(100,10000)
  #model.sld.pmp(5)
  #model.background
  #model.radius_pd=0
  #model.radius_pd_n=0
  
  if False: # have sans data
      sansmodel = bumps_model.BumpsModel(sans_data, kernel, **model.parameters())
      problem = FitProblem([model, sansmodel])
  else:
      problem = FitProblem(model)
  
  
  ### Tri-Axial Ellipsoid
  #
  #phi = Parameter(0.1, name='phi')
  #model = sas.BumpsModel(data, kernel,
  #    scale=phi*(1-phi), sld=7.0, solvent_sld=1.0, radius=radius)
  #phi.range(0.001,0.90)
  ##model.radius.pmp(40)
  #model.radius.range(100,10000)
  ##model.sld.pmp(5)
  ##model.background
  ##model.radius_pd=0
  ##model.radius_pd_n=0
  #
  #if False: # have sans data
  #    sansmodel = sas.BumpsModel(sans_data, kernel, **model.parameters())
  #    problem = FitProblem([model, sansmodel])
  #else:
  #    problem = FitProblem(model)
  
subject: update sesans example for refactored sasmodels.core