code: def find_contig_distribution(contig_lengths_dict):
      
      # Initialise the dictionary
      contig_len_dist_dict = dict()
      for file_name, contig_lengths in contig_lengths_dict.items():
          # Initialise integers to store the number of contigs that fall into the different bin sizes
          over_1000000 = 0
          over_500000 = 0
          over_100000 = 0
          over_50000 = 0
          over_10000 = 0
          over_5000 = 0
          other = 0
          for contig_length in contig_lengths:
              # Depending on the size of the contig, increment the appropriate integer
              if contig_length > 1000000:
                  over_1000000 += 1
              elif contig_length > 500000:
                  over_500000 += 1
              elif contig_length > 100000:
                  over_100000 += 1
              elif contig_length > 50000:
                  over_50000 += 1
              elif contig_length > 10000:
                  over_10000 += 1
              elif contig_length > 5000:
                  over_5000 += 1
              else:
                  other += 1
          # Populate the dictionary with a tuple of each of the size range frequencies
          contig_len_dist_dict[file_name] = (over_1000000,
                                             over_500000,
                                             over_100000,
                                             over_50000,
                                             over_10000,
                                             over_5000,
                                             other)
      return contig_len_dist_dict
docs: Determine the frequency of different contig size ranges for each strain
      :param contig_lengths_dict:
      :return: contig_len_dist_dict: dictionary of strain name: tuple of contig size range frequencies