code: def __init__(self, name=None, in_seq_len=None, out_seq_len=None):
      if name is not None:
          assert hasattr(self, "%s_sequence" % name)
          self.PATTERN_NAME = name
      if in_seq_len:
          self.INPUT_SEQUENCE_LENGTH = in_seq_len
      if out_seq_len:
          self.OUTPUT_SEQUENCE_LENGTH = out_seq_len
  
imports: from __future__ import division, print_function
  import os
  import sys
  import tflearn
  import argparse
  import json
  import numpy
  import tensorflow.compat.v1
  from tensorflow.contrib.legacy_seq2seq.python.ops import seq2seq
  from tensorflow.python.ops import rnn_cell
label_desc: Use image node_id 1 to create a new SequencePattern object from inherited base classes: object with example: obj = SequencePattern(name, in_seq_len, out_seq_len)