code: def test_NRMSE_no_int_overflow():
      camf = cam.astype(np.float32)
      cam_noisyf = cam_noisy.astype(np.float32)
      assert_almost_equal(
          mean_squared_error(cam, cam_noisy),
          mean_squared_error(camf, cam_noisyf),
      )
      assert_almost_equal(
          normalized_root_mse(cam, cam_noisy),
          normalized_root_mse(camf, cam_noisyf),
      )
  
file_path: scikit-image/skimage/metrics/tests/test_simple_metrics.py
imports: import numpy
  import pytest
  from numpy.testing import assert_equal, assert_almost_equal
  from skimage import data
  from skimage._shared._warnings import expected_warnings
  from skimage.metrics import peak_signal_noise_ratio, normalized_root_mse, mean_squared_error, normalized_mutual_information
label_desc: Use image node_id 5 for calling a global function with example usage: test_NRMSE_no_int_overflow() without return types