old_contents: __author__ = 'christopher'
  import numpy as np
  from ase.atoms import Atoms
  from pyiid.wrappers.master_wrap import wrap_atoms
  
  
  def setup_atoms(n):
      q = np.random.random((n, 3)) * 10
      atoms = Atoms('Au' + str(n), q)
      wrap_atoms(atoms)
      return atoms
  
  
  def generate_experiment():
      exp_dict = {'qmin', 'qmax', 'qbin', 'rmin', 'rmax', 'rstep'}
      exp_ranges = [(0, 1.5), (19., 25.), (.8, .12), (0., 2.5), (30., 50.),
                    (.005, .015)]
      for n, k in enumerate(exp_dict):
          exp_dict[k] = np.random.uniform(exp_ranges[n][0], exp_ranges[n][1])
      return exp_dict
new_contents: __author__ = 'christopher'
  import numpy as np
  from ase.atoms import Atoms
  from pyiid.wrappers.master_wrap import wrap_atoms
  
  
  def setup_atoms(n):
      q = np.random.random((n, 3)) * 10
      atoms = Atoms('Au' + str(n), q)
      wrap_atoms(atoms)
      return atoms
  
  
  def generate_experiment():
      exp_dict = {}
      exp_keys = ['qmin', 'qmax', 'qbin', 'rmin', 'rmax', 'rstep']
      exp_ranges = [(0, 1.5), (19., 25.), (.8, .12), (0., 2.5), (30., 50.),
                    (.005, .015)]
      for n, k in enumerate(exp_keys):
          exp_dict[k] = np.random.uniform(exp_ranges[n][0], exp_ranges[n][1])
      return exp_dict
subject: fix gen exp