text: import os
  import numpy as np
  
  save_stem='allvis_sdk_free_noshell'
  data_dir='../../data/sdk_new_100'
  resolution=100
  cre=False
  source_acronyms=['VISal','VISam','VISl','VISp','VISpl','VISpm']
  lambda_list=np.logspace(1,10,10)
  scale_lambda=True
  min_vox=10
  # save_file_name='visual_output.hdf5'
  source_coverage=0.90
  #source_shell=1
  source_shell=None
  save_dir=os.path.join('../../data/connectivities',save_stem)
  experiments_fn=None
  target_acronyms=source_acronyms
  solver=os.path.abspath('../smoothness_c/solve')
  cmdfile=os.path.join(save_dir,'model_fitting_cmds')
  selected_fit_cmds=os.path.join(save_dir,'model_fitting_after_selection_cmds')
  save_mtx=True
  cross_val_matrices=True
  cross_val=5
  fit_gaussian=False
  select_one_lambda=False
  if select_one_lambda:
      lambda_fn='lambda_opt'
  else:
      lambda_fn='lambda_ipsi_contra_opt'
  laplacian='free'
  shuffle_seed=666
  max_injection_volume = np.inf
  