old_contents: '''
  Default clustering parameters
  '''
  
  from numpy import log
  
  default_parameters = dict(
       prior_point=1,
       mua_point=2,
       noise_point=1,
       points_for_cluster_mask=10,
       penalty_k=0.0,
       penalty_k_log_n=1.0,
       max_iterations=1000,
       num_changed_threshold=0.05,
       full_step_every=20,
       split_first=20,
       split_every=40,
       max_possible_clusters=1000,
       mask_starts=500,
       dist_thresh=log(1000.0),
       max_quick_step_candidates=100000000, # this uses around 760 MB RAM
       always_split_bimodal=False,
       )
  
new_contents: '''
  Default clustering parameters
  '''
  
  from numpy import log
  
  default_parameters = dict(
       prior_point=1,
       mua_point=2,
       noise_point=1,
       points_for_cluster_mask=100,
       penalty_k=0.0,
       penalty_k_log_n=1.0,
       max_iterations=1000,
       num_changed_threshold=0.05,
       full_step_every=20,
       split_first=20,
       split_every=40,
       max_possible_clusters=1000,
       mask_starts=500,
       dist_thresh=log(1000.0),
       max_quick_step_candidates=100000000, # this uses around 760 MB RAM
       always_split_bimodal=False,
       )
  
subject: Make points_for_cluster_mask=100 the default