[pre-commit.ci] pre-commit suggestions (#1092)

.pre-commit-config.yaml

@@ -23,7 +23,7 @@ ci:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.0.1
+    rev: v4.1.0
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace
@@ -35,7 +35,7 @@ repos:
       - id: detect-private-key
 
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.29.0
+    rev: v2.31.0
     hooks:
       - id: pyupgrade
         args: [--py36-plus]
@@ -60,13 +60,13 @@ repos:
         args: [--in-place, --wrap-summaries=115, --wrap-descriptions=120]
 
   - repo: https://github.com/psf/black
-    rev: 21.10b0
+    rev: 21.12b0
     hooks:
       - id: black
         name: Format code
 
   - repo: https://github.com/asottile/blacken-docs
-    rev: v1.11.0
+    rev: v1.12.0
     hooks:
       - id: blacken-docs
         args: [ --line-length=120, --skip-errors ]

flash/core/serve/component.py

@@ -245,6 +245,5 @@ def outputs(self) -> ParameterContainer:
         def uid(self) -> str:
             return self._flashserve_meta_.uid
 
-
 else:
     ModelComponent = object

tests/core/serve/models.py

@@ -89,7 +89,6 @@ def classify(self, img):
             out = self.model(img)
             return ([out.argmax(), out.argmax()], torch.Tensor([21]))
 
-
 except TypeError:
     ClassificationInferenceRepeated = None
 
@@ -115,7 +114,6 @@ def classify(self, img):
             assert out.argmax() == out2.argmax()
             return out.argmax()
 
-
 except TypeError:
     ClassificationInferenceRepeated = None
 
@@ -141,7 +139,6 @@ def classify(self, img):
             assert out.argmax() == out2.argmax()
             return out.argmax()
 
-
 except TypeError:
     ClassificationInferenceModelMapping = None
 
@@ -171,7 +168,6 @@ def classify(self, img, tag):
 
             return out.argmax(), img
 
-
 except TypeError:
     ClassificationInferenceComposable = None
 
@@ -198,6 +194,5 @@ def predict(self, section, isle, row, stadium):
             stadium_idx = torch.tensor(1000)
             return torch.Tensor([seat_num]), stadium_idx
 
-
 except TypeError:
     SeatClassifier = None