code: def count_tae_pynisher_returns(self) -> int:
      # We expect the return msg to be something like:
      # [DEBUG] [2020-11-30 11:53:11,264:pynisher] return value: (None, 0)
      # [DEBUG] [2020-11-30 11:53:13,768:pynisher] return value: (None, 0)
      return_msgs = len(
          [
              line
              for line in self.lines
              if re.search(r"pynisher]\s+return value:\s+", line)
          ]
      )
      # When the pynisher pipe is prematurely closed, we also expect:
      # Your function call closed the pipe prematurely
      # -> Subprocess probably got an uncatchable signal
      # We expect the return msg to be something like:
      # OR
      # Something else went wrong, sorry.
      premature_msgs = len(
          [
              line
              for line in self.lines
              if re.search(
                  r"pynisher]\s+Your function call closed the pipe prematurely",
                  line,
              )
          ]
      )
      failure_msgs = len(
          [
              line
              for line in self.lines
              if re.search(
                  r"pynisher]\s+Something else went wrong, sorry.", line
              )
          ]
      )
      return return_msgs + premature_msgs + failure_msgs
  
file_path: auto-sklearn/test/test_automl/automl_utils.py
imports: import typing
  import glob
  import os
  import re
  import numpy
label_desc: Use image node_id 6 for calling the AutoMLLogParser obj's underlying member method code with example usage: obj.count_tae_pynisher_returns() and returns: unknown