class_docstr: Class that defines data loader
class_docstr_tok: ["Class","that","defines","data","loader"]
docstr: Resets the sample count to zero, re-shuffles data
  Returns:
      None
docstr_tok: ["Resets","the","sample","count","to","zero",",","re-shuffles","data","Returns",":","None"]
code: def reset(self):
      """
      Resets the sample count to zero, re-shuffles data
      Returns:
          None
      """
      self.sample_count = 0
      self.random_index = np.random.permutation(
          np.arange(0, self.data.shape[0] - self.seq_len, self.skip)
      )
  
file_path: nlp-architect/nlp_architect/data/ptb.py
imports: import os
  import sys
  import numpy
  import urllib.request
label_desc: Use image node_id 4 for calling the PTBDataLoader obj's underlying member method code with example usage: obj.reset() without return types