class_docstr: Write the provided exception object along with some other metadata about
  the error in a structured way in JSON format to an error file specified by the
  environment variable: ``TORCHELASTIC_ERROR_FILE``. If this environment
  variable is not set, then simply logs the contents of what would have been
  written to the error file.
  
  This handler may be subclassed to customize the handling of the error.
  Subclasses should override ``initialize()`` and ``record_exception()``.
class_docstr_tok: ["Write","the","provided","exception","object","along","with","some","other","metadata","about","the","error","in","a","structured","way","in","JSON","format","to","an","error","file","specified","by","the","environment","variable",":","``","TORCHELASTIC_ERROR_FILE","``",".","If","this","environment","variable","is","not","set",",","then","simply","logs","the","contents","of","what","would","have","been","written","to","the","error","file",".","This","handler","may","be","subclassed","to","customize","the","handling","of","the","error",".","Subclasses","should","override","``","initialize","(",")","``","and","``","record_exception","(",")","``","."]
docstr: Dump parent error file from child process's root cause error and error code.
docstr_tok: ["Dump","parent","error","file","from","child","process","'s","root","cause","error","and","error","code","."]
code: def dump_error_file(
      self, rootcause_error_file: str, error_code: int = 0
  ):
      """Dump parent error file from child process's root cause error and error code."""
      with open(rootcause_error_file) as fp:
          rootcause_error = json.load(fp)
          # Override error code since the child process cannot capture the error code if it
          # is terminated by signals like SIGSEGV.
          if error_code:
              self.override_error_code_in_rootcause_data(
                  rootcause_error_file, rootcause_error, error_code
              )
          log.debug(
              "child error file (%s) contents:\n" "%s",
              rootcause_error_file,
              json.dumps(rootcause_error, indent=2),
          )
  
      my_error_file = self._get_error_file_path()
      if my_error_file:
          # Guard against existing error files
          # This can happen when the child is created using multiprocessing
          # and the same env var (TORCHELASTIC_ERROR_FILE) is used on the
          # parent and child to specify the error files (respectively)
          # because the env vars on the child is set in the wrapper function
          # and by default the child inherits the parent's env vars, if the child
          # process receives a signal before the wrapper function kicks in
          # and the signal handler writes to the error file, then the child
          # will write to the parent's error file. In this case just log the
          # original error file contents and overwrite the error file.
          self._rm(my_error_file)
          self._write_error_file(
              my_error_file, json.dumps(rootcause_error)
          )
          log.info("dumped error file to parent's %s", my_error_file)
      else:
          log.error(
              "no error file defined for parent, to copy child error file (%s)",
              rootcause_error_file,
          )
  
file_path: pytorch/torch/distributed/elastic/multiprocessing/errors/error_handler.py
imports: import faulthandler
  import json
  import logging
  import os
  import time
  import traceback
  import warnings
  from typing import Any, Dict, Optional
label_desc: Use image node_id 6 for calling the ErrorHandler obj's underlying member method code with example usage: obj.dump_error_file(rootcause_error_file, error_code) without return types