code: def is_namedtuple(data):
      """
      Checks if `x` is a `namedtuple` or not. Can have false positives, but only if a user is trying to mimic a
      `namedtuple` perfectly.
      """
      data_type = type(data)
      bases = data_type.__bases__
      if len(bases) != 1 or bases[0] != tuple:
          return False
      fields = getattr(data_type, "_fields", None)
      if not isinstance(fields, tuple):
          return False
      return all(isinstance(member, str) for member in fields)
  
imports: import pickle
  import warnings
  from functools import update_wrapper, wraps
  from typing import Any, Mapping
  import torch
  from ..state import PartialState
  from .constants import TORCH_DISTRIBUTED_OPERATION_TYPES
  from .dataclasses import DistributedType, TensorInformation
  from .imports import is_npu_available, is_torch_distributed_available, is_torch_version, is_tpu_available
label_desc: Use image node_id 4 for calling a global function with example usage: is_namedtuple(data) and returns: all, False, False