code: def test_recursive_allclose(inputs, expected):
      """Test the recursive allclose works as expected."""
      res = _allclose_recursive(*inputs)
      assert res == expected
  
imports: import sys
  import numpy
  import pytest
  import torch
  from torch import tensor
  from torchmetrics.regression import MeanSquaredError, PearsonCorrCoef
  from torchmetrics.utilities import check_forward_full_state_property, rank_zero_debug, rank_zero_info, rank_zero_warn
  from torchmetrics.utilities.checks import _allclose_recursive
  from torchmetrics.utilities.data import _bincount, _cumsum, _flatten, _flatten_dict, select_topk, to_categorical, to_onehot
  from torchmetrics.utilities.distributed import class_reduce, reduce
  from torchmetrics.utilities.exceptions import TorchMetricsUserWarning
  from torchmetrics.utilities.imports import _TORCH_GREATER_EQUAL_1_13
label_desc: Use image node_id 10 for calling a global function with example usage: test_recursive_allclose(inputs, expected) without return types