code: def __exit__(self, exc_type, exc_value, exc_traceback):
      # print("OFF trace")
      sys.settrace(None)
      # At this point we have already tried to visualize the statement
      # If there was no error, the visualization will look normal
      # but a matrix operation error will show the erroneous operator highlighted.
      # That was artificial execution of the code. Now the VM has executed
      # the statement for real and has found the same exception. Make sure to
      # augment the message with causal information.
      if exc_type is None:
          return
      exc_frame, lib_entry_frame = tensor_lib_entry_frame(exc_traceback)
      if lib_entry_frame is not None or is_interesting_exception(
          exc_value
      ):
          # print("exception:", exc_value, exc_traceback)
          # traceback.print_tb(exc_traceback, limit=5, file=sys.stdout)
          module, name, filename, line, code = info(exc_frame)
          # print('info', module, name, filename, line, code)
          if code is not None:
              # We've already displayed picture so just augment message
              root, tokens = tsensor.parsing.parse(code)
              if (
                  root is not None
              ):  # Could be syntax error in statement or code I can't handle
                  offending_expr = None
                  try:
                      root.eval(exc_frame)
                  except tsensor.ast.IncrEvalTrap as e:
                      offending_expr = e.offending_expr
                  augment_exception(exc_value, offending_expr)
  
imports: import os
  import sys
  import traceback
  import inspect
  import hashlib
  from pathlib import Path
  import matplotlib.pyplot
  import tsensor
label_desc: Use image node_id 3 for calling the explain obj's underlying member method code with example usage: obj.__exit__(exc_type, exc_value, exc_traceback) without return types