text: import traceback
  import argparse
  import json
  from plugin_collection import PluginCollection
  from jsonschema import validate,ValidationError
  
  def get_available_plugins(plugins):
      """ Returns a string containing a list of available plugins in the given PluginCollection"""
      av_plugins=''
      for plugin in plugins:
          av_plugins += plugin.identifier + ', '
      return av_plugins[:-2]
  
  #? Collecting the available plugins in the corresponding folders
  frontend_plugins = PluginCollection('frontend')
  conversion_plugins = PluginCollection('conversion')
  backend_plugins = PluginCollection('backend')
  
  #? Parsing command line arguments
  parser = argparse.ArgumentParser(description='Translates high-level neural network model to native code for specified backend')
  parser.add_argument('-f', '--frontend', type=str, required=True, help='Frontend type of the input file, available at the moment: '+ get_available_plugins(frontend_plugins.plugins))
  parser.add_argument('-b', '--backend', type=str, required=True, help='Backend type to translate into, available at the moment: '+ get_available_plugins(backend_plugins.plugins))
  parser.add_argument('-c', '--conversions', nargs='+', help='Conversions to be performed on data, available at the moment: '+ get_available_plugins(conversion_plugins.plugins))
  parser.add_argument('-i', '--input', type=str, required=True, help='Input file containing the neural network model')
  parser.add_argument('-o', '--output', type=str, required=True, help='Output file to write to')
  parser.add_argument('-e', '--executable', type=str, help='Path to an executable file which contains the prediction call, when set the given file will be copied into the output directory')
  args = parser.parse_args()
  
  try:
      #? Searching for the correct plugins to process the given input
      frontend = frontend_plugins.get_plugin(args.frontend.lower())
      backend = backend_plugins.get_plugin(args.backend.lower())
  
      print('Converting inputfile "' + args.input + '" to intermediate format with plugin "' + frontend.identifier + '"')
      #? Transforming the input file to the intermediate format
      intermediate = frontend.transform_to_intermediate_format(args.input)
  
      #? Validating the produced intermediate format with the json schema in order to check the correctness of the result
      with open('intermediate.schema.json') as json_file:
          schema = json.load(json_file)
          validate(intermediate, schema)
  
      #? If conversion plugins were defined within the command line arguments those are executed
      if (args.conversions is not None):
          for conversion in args.conversions:
              conv_plugin = conversion_plugins.get_plugin(conversion)
              print('Performing conversion: "' + conv_plugin.description + '"')
              intermediate = conv_plugin.process(intermediate)
  
      #? If the selected backend plugin has any prerequisites those conversions are executed too
      if (backend.prerequisites is not None):
          for prerequisite in backend.prerequisites:
              conv_plugin = conversion_plugins.get_plugin(prerequisite)
              print('Performing required conversion by backend plugin "' + backend.identifier + '": "' + conv_plugin.description + '"')
              intermediate = conv_plugin.process(intermediate)
  
      print('Translating intermediate format to native code with plugin "' + backend.identifier + '"')
      exec_file = None
      if (args.executable is not None):
          exec_file = args.executable
      #? Translating the produced intermediate format to native code of the backend plugin
      backend.translate_to_native_code(intermediate, args.output, exec_file)
  
      print('Translation of input-file "' + args.input + '" to output-file "' + args.output + '" successfully completed')
  
  #? Error Handling
  except ValidationError:
      print('Output of frontend plugin "' + frontend.identifier + '" does not match JSON schema.')
  except NotImplementedError:
      print('Selected frontend/backend is not available')
  except IOError as ioerr:
      print('Error occurred while opening the file: ')
      print(traceback.format_exception_only(type(ioerr), ioerr))
  except Exception as err:
      print('An error occurred: ')
      print(traceback.format_exception_only(type(err), err))