code: def process_fastq_plain(fastq, **kwargs):
      
      logging.info("Nanoget: Starting to collect statistics from plain fastq file.")
      inputfastq = handle_compressed_input(fastq)
      return ut.reduce_memory_usage(pd.DataFrame(
          data=[res for res in extract_from_fastq(inputfastq) if res],
          columns=["quals", "lengths"]
      ).dropna())
docs: Combine metrics extracted from a fastq file.