class_docstr: Reader object that loads experiences from JSON file chunks.
  
  The input files will be read from in random order.
class_docstr_tok: ["Reader","object","that","loads","experiences","from","JSON","file","chunks",".","The","input","files","will","be","read","from","in","random","order","."]
code: def _next_line(self) -> str:
      if not self.cur_file:
          self.cur_file = self._next_file()
      line = self.cur_file.readline()
      tries = 0
      while not line and tries < 100:
          tries += 1
          if hasattr(self.cur_file, "close"):  # legacy smart_open impls
              self.cur_file.close()
          self.cur_file = self._next_file()
          line = self.cur_file.readline()
          if not line:
              logger.debug(
                  "Ignoring empty file {}".format(self.cur_file)
              )
      if not line:
          raise ValueError(
              "Failed to read next line from files: {}".format(
                  self.files
              )
          )
      return line
  
imports: import glob
  import json
  import logging
  import math
  import numpy
  import os
  from pathlib import Path
  import random
  import re
  import tree
  from typing import List, Optional, TYPE_CHECKING, Union
  from urllib.parse import urlparse
  import zipfile
  from ray.rllib.offline.input_reader import InputReader
  from ray.rllib.offline.io_context import IOContext
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID, MultiAgentBatch, SampleBatch, concat_samples, convert_ma_batch_to_sample_batch
  from ray.rllib.utils.annotations import override, PublicAPI, DeveloperAPI
  from ray.rllib.utils.compression import unpack_if_needed
  from ray.rllib.utils.spaces.space_utils import clip_action, normalize_action
  from ray.rllib.utils.typing import Any, FileType, SampleBatchType
label_desc: Use image node_id 7 for calling the JsonReader obj's underlying member method code with example usage: obj._next_line() and returns: line