code: def encodeAA(seq_vec, maxlen=None, seq_align="start", encode_type="one_hot"):
      
      return encodeSequence(seq_vec,
                            vocab=AMINO_ACIDS,
                            neutral_vocab="_",
                            maxlen=maxlen,
                            seq_align=seq_align,
                            pad_value="_",
                            encode_type=encode_type)
docs: Convert the Amino-acid sequence into 1-hot-encoding numpy array
  
      # Arguments
          seq_vec: List of strings/amino-acid sequences
          maxlen: Maximum sequence length. See `pad_sequences` for more detail
          seq_align: How to align the sequences of variable lengths. See `pad_sequences` for more detail
          encode_type: can be `"one_hot"` or `token` for token encoding of codons (incremental integer ).
  
      # Returns
          numpy.ndarray of shape `(len(seq_vec), maxlen, 22)`