class_docstr: Encodes/decodes between strings and integer representations.
class_docstr_tok: ["Encodes\/decodes","between","strings","and","integer","representations","."]
docstr: Returns a batch of example of size @batch_size.
docstr_tok: ["Returns","a","batch","of","example","of","size","@","batch_size","."]
code: def get_batch(self, batch_size: int) -> Dict[str, np.ndarray]:
      """Returns a batch of example of size @batch_size."""
      inputs, outputs = zip(*self.generate_examples(batch_size))
      return {
          "query": self.encode_onehot(inputs),
          "answer": self.encode_onehot(outputs),
      }
  
imports: import random
  from typing import Any, Dict, Generator, Optional, Tuple
  import jax.numpy
  import numpy
label_desc: Use image node_id 15 for calling the CharacterTable obj's underlying member method code with example usage: obj.get_batch(batch_size) and returns: dict