code: def from_seqfeature(s, **kwargs):
      
      source = s.qualifiers.get('source', '.')[0]
      score = s.qualifiers.get('score', '.')[0]
      seqid = s.qualifiers.get('seqid', '.')[0]
      frame = s.qualifiers.get('frame', '.')[0]
      strand = _feature_strand[s.strand]
  
      # BioPython parses 1-based GenBank positions into 0-based for use within
      # Python.  We need to convert back to 1-based GFF format here.
      start = s.location.start.position + 1
      stop = s.location.end.position
      featuretype = s.type
      id = s.id
      attributes = dict(s.qualifiers)
      attributes.pop('source', '.')
      attributes.pop('score', '.')
      attributes.pop('seqid', '.')
      attributes.pop('frame', '.')
      return Feature(seqid, source, featuretype, start, stop, score, strand,
                     frame, attributes, id=id, **kwargs)
docs: Converts a Bio.SeqFeature object to a gffutils.Feature object.
  
      The GFF fields `source`, `score`, `seqid`, and `frame` are assumed to be
      stored as qualifiers.  Any other qualifiers will be assumed to be GFF
      attributes.