code: def __init__(
      self, input_dim: int, output_dim: int, bidirectional: bool = False
  ):
      super().__init__()
      self.input_dim = input_dim
      self.output_dim = output_dim
      self.bidirectional = bidirectional
  
imports: import torch
  import numpy
  import pytest
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2seq_encoders import ComposeEncoder, FeedForwardEncoder, Seq2SeqEncoder
  from allennlp.modules import FeedForward
label_desc: Use image node_id 1 to create a new MockSeq2SeqEncoder object from inherited base classes: Seq2SeqEncoder with example: obj = MockSeq2SeqEncoder(input_dim, output_dim, bidirectional)