code: def random_subseq(seq, subseq_len):
      if len(seq) <= subseq_len:
          return seq
      else:
          i = np.random.randint(0, len(seq) - subseq_len + 1)
          return seq[i : i + subseq_len]
  
imports: from abc import ABCMeta, abstractmethod, abstractproperty
  from typing import Optional
  import numpy
  import torch
  from pfrl.utils.batch_states import batch_states
  from pfrl.utils.recurrent import concatenate_recurrent_states, flatten_sequences_time_first, recurrent_state_from_numpy
label_desc: Use image node_id 1 for calling a global function with example usage: random_subseq(seq, subseq_len) and returns: seq, seq