class_docstr: Batchfied/Vectorized hypothesis data type.
docstr: Return a batch size.
docstr_tok: ["Return","a","batch","size","."]
code: def __len__(self) -> int:
      """Return a batch size."""
      return len(self.length)
  
imports: import logging
  from typing import Any, Dict, List, NamedTuple, Tuple
  import torch
  from packaging.version import parse
  from torch.nn.utils.rnn import pad_sequence
  from espnet.nets.beam_search import BeamSearch, Hypothesis
label_desc: Use image node_id 1 for calling the BatchHypothesis obj's underlying member method code with example usage: obj.__len__() and returns: len