code: def _get_pruned_stats(
      module: nn.Module, name: str
  ) -> Tuple[int, int]:
      attr = f"{name}_mask"
      if not hasattr(module, attr):
          return 0, 1
      mask = getattr(module, attr)
      return (mask == 0).sum().item(), mask.numel()
  
imports: import inspect
  import logging
  from copy import deepcopy
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
  import torch.nn.utils.prune
  from lightning_utilities.core.apply_func import apply_to_collection
  from torch import Tensor, nn
  from typing_extensions import TypedDict, override
  import lightning.pytorch
  from lightning.pytorch.callbacks.callback import Callback
  from lightning.pytorch.core.module import LightningModule
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.rank_zero import rank_zero_debug, rank_zero_only
label_desc: Use image node_id 11 for calling the ModelPruning obj's underlying member method code with example usage: obj._get_pruned_stats(module, name) and returns: unknown,  mask, int,  int