text: from pathlib import Path
  
  import pandas as pd
  import numpy as np
  import yaml
  
  
  def config_from_csv(exp_suffix_, scenarios_csv_path_, settings_path_, config_path_, output_path_, bat_path_):
  
      # Read scenarios file in DataFrame
      scenarios_df = pd.read_csv(scenarios_csv_path_)
      # Read settings file
      with open(settings_path_, 'rt') as settings_file:
          settings = yaml.safe_load(settings_file)
          print(settings)
  
      global_vars = {}
      with open(bat_path_, 'w') as bat_file:
      # Iterate over rows in scenarios file
          for row in scenarios_df.iterrows():
              scenario = int(row[1]['scenario'].tolist())
  
              global_vars['arrival_rate'] = row[1]['arrival_rate'].tolist()
  
              global_vars['mean_los_obs'] = row[1]['mean_los_obs'].tolist()
              global_vars['num_erlang_stages_obs'] = int(row[1]['num_erlang_stages_obs'])
  
              global_vars['mean_los_ldr'] = float(row[1]['mean_los_ldr'])
              global_vars['num_erlang_stages_ldr'] = int(row[1]['num_erlang_stages_ldr'])
  
              global_vars['mean_los_pp_noc'] = float(row[1]['mean_los_pp_noc'])
              global_vars['mean_los_pp_c'] = float(row[1]['mean_los_pp_c'])
              global_vars['num_erlang_stages_pp'] = int(row[1]['num_erlang_stages_pp'])
  
              global_vars['mean_los_csect'] = float(row[1]['mean_los_csect'])
              global_vars['num_erlang_stages_csect'] = int(row[1]['num_erlang_stages_csect'])
  
              global_vars['c_sect_prob'] = float(row[1]['c_sect_prob'])
  
              config = {}
              config['locations'] = settings['locations']
              cap_obs = int(row[1]['cap_obs'].tolist())
              cap_ldr = int(row[1]['cap_ldr'].tolist())
              cap_pp = int(row[1]['cap_pp'].tolist())
              config['locations'][1]['capacity'] = cap_obs
              config['locations'][2]['capacity'] = cap_ldr
              config['locations'][4]['capacity'] = cap_pp
  
  
              # Write scenario config file
  
              config['scenario'] = scenario
              config['run_settings'] = settings['run_settings']
              config['paths'] = settings['paths']
              config['random_number_streams'] = settings['random_number_streams']
  
              config['routes'] = settings['routes']
              config['global_vars'] = global_vars
  
              config_file_path = Path(config_path_) / f'scenario_{scenario}.yaml'
  
              with open(config_file_path, 'w', encoding='utf-8') as config_file:
                  yaml.dump(config, config_file)
  
              run_line = f"python obflow_6.py {config_file_path} --loglevel=WARNING\n"
              bat_file.write(run_line)
  
          # Create output file processing line
          output_proc_line = f'python obflow_6_output.py {output_path_} {exp_suffix_} '
          output_proc_line += f"--run_time {settings['run_settings']['run_time']} "
          output_proc_line += f"--warmup_time {settings['run_settings']['warmup_time']} --include_inputs "
          output_proc_line += f"--scenario_inputs_path {scenarios_csv_path_} --process_logs "
          output_proc_line += f"--stop_log_path {settings['paths']['stop_logs']} "
          output_proc_line += f"--occ_stats_path {settings['paths']['occ_stats']}"
          bat_file.write(output_proc_line)
  
  
  if __name__ == '__main__':
      exp_suffix = 'exp11d'
      scenarios_csv_path = Path(f'input/{exp_suffix}_obflow06_metainputs.csv')
      settings_path = Path(f'input/{exp_suffix}_obflow06_settings.yaml')
      config_path = Path(f'input/config/{exp_suffix}')
      bat_path = Path('./run') / f'{exp_suffix}_obflow06_run.sh'
      output_path = Path('./output') / f'{exp_suffix}/'
  
      config_from_csv(exp_suffix, scenarios_csv_path, settings_path, config_path, output_path, bat_path)