text: # Gitsbe config file (tab-delimited)
  # Parameter:	Value
  
  ### Global
  
  # Output verbosity level (0 = nothing - 3 = everything)
  verbosity:	3
  
  # Delete all files in *_tmp dirs
  delete_tmp_files:	false
  
  # If true, it will compress the log and tmp files
  compress_log_and_tmp_files:	true
  
  # Run simulations in parallel
  use_parallel_sim:	true
  
  # The number (>1) of simulations to execute in parallel
  # The standard value would be to have as many parallel simulations as the 
  # machine's Cores (reduce it if too many parallel simulations are causing issues)
  parallel_sim_num:	4
  
  # Tool to use for the calculation of attractors
  # Supported values: bnet_reduction, bnet_reduction_reduced, biolqm_stable_states, biolqm_trapspaces, mpbn_trapspaces
  attractor_tool:	biolqm_stable_states
  
  ### Gitsbe section
  
  ## Model trimming
  remove_output_nodes:	false
  remove_input_nodes:	true
  
  ## Exporting input network file
  export_to_gitsbe:	true
  export_to_sif:	true
  export_to_ginml:	true
  export_to_sbml_qual:	false
  export_to_boolnet:	false
  
  # Parameters for evolutionary algorithms
  # Number of simulations (evolutions) to run
  simulations:	3
  
  # Number of generations per simulation (or less if target_fitness is reached, see below)
  generations:	10
  
  # Number of models per generation
  population:	10
  
  # Number of crossovers
  crossovers:	1
  
  # Number of models selected for next generation
  selection:	3
  
  # Type of mutations to introduce and a value that corresponds to the number of 
  # (randomly selected) boolean equations that the specific mutation is going 
  # to be applied to
  balance_mutations:	5
  random_mutations:	0
  shuffle_mutations:	0
  topology_mutations:	10
  
  # Target fitness threshold to stop evolution (1 is the absolute maximum value)
  target_fitness:	0.9
  
  # Factor to multiply number of mutations until initial phase is over (>0 stable states obtained)
  bootstrap_mutations_factor:	1000
  
  # Factor to multiply number of mutations after initial phase is over (>0 stable states obtained)
  mutations_factor:	1
  
  # Factor to multiply number of regulator priority shuffles until initial phase is over
  bootstrap_shuffle_factor:	0
  
  # Factor to multiply number of regulator priority shuffles after initial phase is over
  shuffle_factor:	0
  
  # Factor to multiply number of topology mutations until initial phase is over
  bootstrap_topology_mutations_factor:	5
  
  # Factor to multiply number of topology mutations after initial phase is over
  topology_mutations_factor:	1
  
  # Number of models to save
  models_saved:	3
  
  # Additional formats to export best models (gitsbe format is enabled by default)
  best_models_export_to_ginml:	false
  best_models_export_to_sbml_qual:	false
  best_models_export_to_boolnet:	true
  
  # Threshold for saving models
  fitness_threshold:	0.1
  
  