code: def get_compression_filter(byte_counts):
      
  
      assert isinstance(byte_counts, numbers.Integral) and byte_counts > 0
      
      if 2 * byte_counts > 1000 * memory()['free']:
          try:
              FILTERS = tables.filters(complevel = 5, complib = 'blosc', 
                                       shuffle = True, least_significant_digit = 6)
          except tables.FiltersWarning:
              FILTERS = tables.filters(complevel = 5, complib = 'lzo', 
                                       shuffle = True, least_significant_digit = 6)   
      else:
          FILTERS = None
  
      return FILTERS
docs: Determine whether or not to use a compression on the array stored in
          a hierarchical data format, and which compression library to use to that purpose.
          Compression reduces the HDF5 file size and also helps improving I/O efficiency
          for large datasets.
      
      Parameters
      ----------
      byte_counts : int
      
      Returns
      -------
      FILTERS : instance of the tables.Filters class