code: def decode(row, protocol="json"):
      """Decode encoded record string to python object
  
      Parameters
      ----------
      row : str
          a row in the logger file
  
      protocol : str
          log protocol, json or pickle
  
      Returns
      -------
      ret : tuple(autotvm.measure.MeasureInput, autotvm.measure.MeasureResult), or None
          The tuple of input and result, or None if input uses old version log format.
      """
      # pylint: disable=unused-variable
      global _old_version_warning
  
      if protocol == "json":
          row = json.loads(row)
          if "v" in row and row["v"] == 0.1:
              if _old_version_warning:
                  logger.warning(
                      "AutoTVM log version 0.1 is no longer supported."
                  )
                  _old_version_warning = False
              return None
  
          tgt, task_name, task_args, task_kwargs = row["input"]
          tgt = str(tgt)
          if "-target" in tgt:
              logger.warning(
                  '"-target" is deprecated, use "-mtriple" instead.'
              )
              tgt = tgt.replace("-target", "-mtriple")
          tgt = Target(str(tgt))
  
          def clean_json_to_python(x):
              """1. Convert all list in x to tuple (hashable)
              2. Convert unicode to str for python2
              """
              if isinstance(x, list):
                  return tuple([clean_json_to_python(a) for a in x])
              if isinstance(x, _unicode):
                  return str(x)
              if isinstance(x, (_long, int)):
                  return int(x)
              return x
  
          tsk = task.Task(
              clean_json_to_python(task_name),
              clean_json_to_python(task_args),
          )
          config = ConfigEntity.from_json_dict(row["config"])
          inp = MeasureInput(tgt, tsk, config)
          result = MeasureResult(
              *[
                  tuple(x) if isinstance(x, list) else x
                  for x in row["result"]
              ]
          )
          config.cost = np.mean(result.costs)
  
          return inp, result
      if protocol == "pickle":
          items = row.split("\t")
          if len(items) == 4:
              if _old_version_warning:
                  logger.warning(
                      "AutoTVM log version 0.1 is no longer supported."
                  )
                  _old_version_warning = False
              return None
          tgt = Target(items[0])
          task_tuple = pickle.loads(base64.b64decode(items[1].encode()))
          config = pickle.loads(base64.b64decode(items[2].encode()))
          result = MeasureResult(
              *pickle.loads(base64.b64decode(items[3].encode()))
          )
          config.cost = np.mean(result.costs)
  
          tsk = task.Task(task_tuple[0], task_tuple[1])
          return MeasureInput(tgt, tsk, config), result
  
      raise RuntimeError("Invalid log protocol: " + protocol)
  
imports: import argparse
  import base64
  from io import TextIOBase
  import logging
  import pickle
  import json
  import time
  from typing import Union
  import os
  import itertools
  from collections import OrderedDict
  import numpy
  from ..None import build, lower
  from ..target import Target
  from ..contrib import popen_pool
  from ..None import __version__
  from .None import task
  from .task import ConfigEntity, ApplyHistoryBest
  from .measure import MeasureInput, MeasureResult
label_desc: Use image node_id 3 for calling a global function with example usage: decode(row, protocol) and returns: inp,  result, MeasureInput,  result, None, x, None, tuple, str, int