code: def _base_e_sk_psnr(preds, target, data_range, reduction, dim):
      return _skimage_psnr(
          preds, target, data_range, reduction, dim
      ) * np.log(10)
  
imports: from functools import partial
  import numpy
  import pytest
  import torch
  from skimage.metrics import peak_signal_noise_ratio
  from torchmetrics.functional import peak_signal_noise_ratio
  from torchmetrics.image import PeakSignalNoiseRatio
  from torchmetrics.utilities.imports import _TORCH_GREATER_EQUAL_2_1
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 3 for calling a global function with example usage: _base_e_sk_psnr(preds, target, data_range, reduction, dim) and returns: unknown