neuralsampling/test_tsp.yaml at master · healther/neuralsampling · GitHub

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experiment_config:
  write_configs: True
  execute_sims: True
  run_analysis: True
  collect_results: True
  plot: False
sim_parameters:
  target_system: BwUni
  system_parameters:
    n_sims_per_job: 16
    nodes: 1
    processors_per_node: 1
    walltime: '00:10:00'
    max_queue_size: 40
    generate_folder: 'tmp'
    wait_time: 15.
ana_parameters:
  target_system: BwUni
  system_parameters:
    n_sims_per_job: 16
    nodes: 1
    processors_per_node: 2
    walltime: '00:10:00'
    max_queue_size: 40
    generate_folder: 'tmp'
    wait_time: 30.
col_parameters:
  target_system: Local
  system_parameters:
    n_cpus: 1
sim_folder_template:
  simulation/{Config_tausyn:05d}
Config:
  Tmax: 1.
  Tmin: 1.
  neuron_type: erf_rect
  nupdates: 100
  random_seed: 42424242
  random_skip: 1000000
  tauref: tau
  tausyn: tau
  output_scheme: BinaryState
  network_update_scheme: InOrder
  remove_config_file: False
network:
  name: problem_tsp.create
  parameters:
    A: 1.0
    B: 1.0
    C: 1.0
    D: 0.1
    fix_starting_point: False
    tsp:
      - [0., 1.]
      - [1., 0.]
simulate:
  function_name: control.simulate
analysis:
  function_name: analysis.states
collect:
  function_name: collect.singlefile
  parameters:
    targetfolder: collected
replacements:
  tau: [1, 5, 10,]
experiment_name: Test001
wait: True