code: def merge_chunk_data(output_file="merged_idx_contig_hit_size_cov.txt", *files):
      
  
      chunks = dict()
      for chunk_file in files:
          with open(chunk_file) as chunk_file_handle:
              for line in chunk_file_handle:
                  chunk_id, chunk_name, hit, size, cov = line.split("\t")
                  try:
                      chunks[chunk_id]["hit"] += hit
                      chunks[chunk_id]["cov"] += cov
                  except KeyError:
                      chunks[chunk_id] = {
                          "name": chunk_name,
                          "hit": hit,
                          "size": size,
                          "cov": cov,
                      }
  
      sorted_chunks = sorted(chunks)
      with open(output_file, "w") as output_handle:
          for chunk_id in sorted_chunks:
              my_chunk = chunks[chunk_id]
              name, hit, size, cov = (
                  my_chunk["name"],
                  my_chunk["hit"],
                  my_chunk["size"],
                  my_chunk["cov"],
              )
  
              my_line = "{}\t{}\t{}\t{}\t{}".format(
                  chunk_id, name, hit, size, cov
              )
              output_handle.write(my_line)
docs: Merge chunk data from different networks
  
      Similarly to merge_network, this merges any number of chunk data files.
  
      Parameters
      ---------
      output_file : file, str, or pathlib.Path, optional
          The output file to write the merged chunk data files into. Default is
          merged_idx_contig_hit_size_cov.txt
      `*files` : file, str or pathlib.Path
          The chunk data files to merge.