[pre-commit.ci] auto fixes from pre-commit.com hooks

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docs/source/links.rst

@@ -116,4 +116,4 @@
 .. _Signal-to-noise ratio: https://arxiv.org/abs/1811.02508
 .. _Permutation invariant training: https://arxiv.org/abs/1607.00325
 .. _Multilabel coverage error: https://link.springer.com/chapter/10.1007/978-0-387-09823-4_34
-.. _Peak Signal to Noise Ratio With Blocked Effect: https://ieeexplore.ieee.org/abstract/document/5535179
+.. _Peak Signal to Noise Ratio With Blocked Effect: https://ieeexplore.ieee.org/abstract/document/5535179

src/torchmetrics/functional/image/__init__.py

@@ -14,12 +14,12 @@
 from torchmetrics.functional.image.d_lambda import spectral_distortion_index  # noqa: F401
 from torchmetrics.functional.image.ergas import error_relative_global_dimensionless_synthesis  # noqa: F401
 from torchmetrics.functional.image.gradients import image_gradients  # noqa: F401
-from torchmetrics.functional.image.psnr import peak_signal_noise_ratio  # noqa: F401
+from torchmetrics.functional.image.psnr import peak_signal_noise_ratio
+from torchmetrics.functional.image.psnrb import peak_signal_noise_ratio  # noqa: F401
 from torchmetrics.functional.image.sam import spectral_angle_mapper  # noqa: F401
 from torchmetrics.functional.image.ssim import (  # noqa: F401
     multiscale_structural_similarity_index_measure,
     structural_similarity_index_measure,
 )
 from torchmetrics.functional.image.tv import total_variation  # noqa: F401
 from torchmetrics.functional.image.uqi import universal_image_quality_index  # noqa: F401
-from torchmetrics.functional.image.psnrb import peak_signal_noise_ratio  # noqa: F401

src/torchmetrics/functional/image/psnrb.py

@@ -61,7 +61,6 @@ def _compute_bef(
     diff = torch.gather(0, v_bc.unsqueeze(0)) - torch.gather(0, v_b.unsqueeze(0))
     d_bc += torch.sum(torch.square(diff))
 
-
     # N code
     n_hb = height * (width / block_size) - 1
     n_hbc = (height * (width - 1)) - n_hb