[qa] Changes to docformatter; Update minimum Python version to 3.9

src/ptbench/configs/models/alexnet.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """AlexNet."""
 
 from torch.nn import BCEWithLogitsLoss

src/ptbench/configs/models/alexnet_pretrained.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """AlexNet."""
 
 from torch.nn import BCEWithLogitsLoss

src/ptbench/configs/models/densenet.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """DenseNet."""
 
 from torch.nn import BCEWithLogitsLoss

src/ptbench/configs/models/densenet_pretrained.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """DenseNet."""
 
 from torch.nn import BCEWithLogitsLoss

src/ptbench/configs/models/logistic_regression.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """Feedforward network for Tuberculosis Detection.
 
 Simple feedforward network taking radiological signs in output and

src/ptbench/configs/models/pasa.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """CNN for Tuberculosis Detection.
 
 Implementation of the model architecture proposed by F. Pasa in the article

src/ptbench/configs/models/signs_to_tb.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """Feedforward network for Tuberculosis Detection.
 
 Simple feedforward network taking radiological signs in output and

src/ptbench/configs/models_datasets/densenet_rs.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """CNN for radiological findings detection.
 
 A Densenet121 model for radiological extraction

src/ptbench/data/hivtb/__init__.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for computer-aided diagnosis (only BMP files)
 
 * Reference: [HIV-TB-2019]_

src/ptbench/data/hivtb/fold_0.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 0)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_1.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 1)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_2.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 2)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_3.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 3)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_4.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 4)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_5.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 5)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_6.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 6)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_7.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 7)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_8.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 8)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/hivtb/fold_9.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
 """HIV-TB dataset for TB detection (cross validation fold 9)
 
 * Split reference: none (stratified kfolding)

src/ptbench/data/image_utils.py

 # SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
-
-
 """Data loading code."""
 
 import pathlib
@@ -16,9 +14,9 @@ class SingleAutoLevel16to8:
 
     This transform assumes that the input image is gray-scaled.
 
-    To auto-level, we calculate the maximum and the minimum of the image, and
-    consider such a range should be mapped to the [0,255] range of the
-    destination image.
+    To auto-level, we calculate the maximum and the minimum of the
+    image, and consider such a range should be mapped to the [0,255]
+    range of the destination image.
     """
 
     def __call__(self, img):