docstr: Prepares a mock vocabulary and returns a path to it.
docstr_tok: ["Prepares","a","mock","vocabulary","and","returns","a","path","to","it","."]
code: def _get_vocab_path(self):
      """Prepares a mock vocabulary and returns a path to it."""
      vocab_path = os.path.join(tempfile.mkdtemp(), "vocab.txt")
      tokenized_sequences = (
          (b"this", b"is", b"a", b"test", b"sentence"),
          (b"this", b"is", b"a", b"test", b"sentence"),
          (b"this", b"is", b"a", b"test", b"sentence"),
      )
      vocab = vocabulary.Vocabulary(
          tokenized_sequences=tokenized_sequences
      )
      vocab.save(vocab_path)
      return vocab_path
  
file_path: flax/examples/sst2/input_pipeline_test.py
imports: import os
  import pathlib
  import tempfile
  from absl.testing import absltest
  import tensorflow_datasets
  import input_pipeline
  import vocabulary
label_desc: Use image node_id 2 for calling the InputPipelineTest obj's underlying member method code with example usage: obj._get_vocab_path() and returns: vocab_path