precommit: yapf (#5494)

* precommit: yapf

* align isort

* fix

# Conflicts:
#	utils/plots.py

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* Update setup.cfg

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* Update setup.cfg

* Update setup.cfg

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* Update wandb_utils.py

* Update augmentations.py

* Update setup.cfg

* Update yolo.py

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* Update val.py

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* simplify colorstr

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* val run fix

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* PyTorch Hub tuple fix

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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utils/loggers/__init__.py

@@ -43,10 +43,20 @@ class Loggers():
         self.hyp = hyp
         self.logger = logger  # for printing results to console
         self.include = include
-        self.keys = ['train/box_loss', 'train/obj_loss', 'train/cls_loss',  # train loss
-                     'metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95',  # metrics
-                     'val/box_loss', 'val/obj_loss', 'val/cls_loss',  # val loss
-                     'x/lr0', 'x/lr1', 'x/lr2']  # params
+        self.keys = [
+            'train/box_loss',
+            'train/obj_loss',
+            'train/cls_loss',  # train loss
+            'metrics/precision',
+            'metrics/recall',
+            'metrics/mAP_0.5',
+            'metrics/mAP_0.5:0.95',  # metrics
+            'val/box_loss',
+            'val/obj_loss',
+            'val/cls_loss',  # val loss
+            'x/lr0',
+            'x/lr1',
+            'x/lr2']  # params
         self.best_keys = ['best/epoch', 'best/precision', 'best/recall', 'best/mAP_0.5', 'best/mAP_0.5:0.95']
         for k in LOGGERS:
             setattr(self, k, None)  # init empty logger dictionary
@@ -155,7 +165,8 @@ class Loggers():
             self.wandb.log({"Results": [wandb.Image(str(f), caption=f.name) for f in files]})
             # Calling wandb.log. TODO: Refactor this into WandbLogger.log_model
             if not self.opt.evolve:
-                wandb.log_artifact(str(best if best.exists() else last), type='model',
+                wandb.log_artifact(str(best if best.exists() else last),
+                                   type='model',
                                    name='run_' + self.wandb.wandb_run.id + '_model',
                                    aliases=['latest', 'best', 'stripped'])
             self.wandb.finish_run()