text: import json
  import ntpath
  import shutil
  from pathlib import Path
  
  import pickle5
  
  
  def load_pickle_files_as_data(file_paths):
      """
      Load pickle files containing decision outputs as an data array.
  
      :param file_paths: A List of file paths to the individual pickle files.
      :return: A data array.
      """
      data = []
      for file_path in file_paths:
          with (open(file_path, "rb")) as handle:
              data.append(pickle5.load(handle))
      return data
  
  
  def dump_pusion_data(data, file_path):
      """
      Dump classification output data to the given file using pickle.
  
      :param data: A data dictionary.
      :param file_path: Location of the output pickle file.
      """
      with open(file_path, "wb") as handle:
          pickle5.dump(data, handle, protocol=pickle5.HIGHEST_PROTOCOL)
  
  
  def dump_data_as_txt(data, name, identifier):
      """
      Dump a data dictionary to the JSON file for a given evaluation unit.
  
      :param data: A data dictionary.
      :param name: The file name.
      :param identifier: The identifier of the current evaluation unit (e.g. date/time).
      """
      directory = "res/eval_" + identifier
      Path(directory).mkdir(parents=True, exist_ok=True)
      with open(directory + "/" + name + ".txt", 'w') as file:
          file.write(json.dumps(data, indent=4))
  
  
  def save(plot_instance, name, identifier):
      """
      Save the plot instance for a given evaluation unit to the SVG and the PDF file, respectively.
  
      :param plot_instance: `matplotlib.pyplot`-instance.
      :param name: The file name.
      :param identifier: The identifier of the current evaluation unit (e.g. date/time).
      """
      directory = "res/eval_" + identifier
      Path(directory).mkdir(parents=True, exist_ok=True)
      plot_instance.savefig(directory + "/" + name + ".svg", bbox_inches="tight")
      plot_instance.savefig(directory + "/" + name + ".pdf", bbox_inches="tight")
  
  
  def save_evaluator(file, identifier):
      """
      Save the evaluation script for a given evaluation unit.
  
      :param file: The Python file. (E.g. referenced by __file__).
      :param identifier: The identifier of the current evaluation unit (e.g. date/time).
      """
      directory = "res/eval_" + identifier
      Path(directory).mkdir(parents=True, exist_ok=True)
      shutil.copy(file, directory + "/" + ntpath.basename(file) + ".txt")
  