code: def instantiate_class(
      args: Union[Any, Tuple[Any, ...]], init: Dict[str, Any]
  ) -> Any:
      """Instantiates a class with the given args and init.
  
      Args:
          args: Positional arguments required for instantiation.
          init: Dict of the form {"class_path":...,"init_args":...}.
  
      Returns:
          The instantiated class object.
  
      """
      kwargs = init.get("init_args", {})
      if not isinstance(args, tuple):
          args = (args,)
      class_module, class_name = init["class_path"].rsplit(".", 1)
      module = __import__(class_module, fromlist=[class_name])
      args_class = getattr(module, class_name)
      return args_class(*args, **kwargs)
  
imports: import os
  import sys
  from functools import partial, update_wrapper
  from types import MethodType
  from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Type, Union
  import torch
  from lightning_utilities.core.imports import RequirementCache
  from lightning_utilities.core.rank_zero import _warn
  from torch.optim import Optimizer
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.utilities.cloud_io import get_filesystem
  from lightning.fabric.utilities.types import _TORCH_LRSCHEDULER
  from lightning.pytorch import Callback, LightningDataModule, LightningModule, Trainer, seed_everything
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from lightning.pytorch.utilities.rank_zero import rank_zero_warn
label_desc: Use image node_id 4 for calling a global function with example usage: instantiate_class(args, init) and returns: args_class