[pre-commit.ci] pre-commit suggestions (#168)

* [pre-commit.ci] pre-commit suggestions

updates:
- [github.com/pre-commit/pre-commit-hooks: v4.0.1 → v4.4.0](pre-commit/pre-commit-hooks@v4.0.1...v4.4.0)
- [github.com/psf/black: 21.11b1 → 23.9.1](psf/black@21.11b1...23.9.1)
- [github.com/PyCQA/isort: 5.10.1 → 5.12.0](PyCQA/isort@5.10.1...5.12.0)
- [github.com/PyCQA/bandit: 1.7.0 → 1.7.5](PyCQA/bandit@1.7.0...1.7.5)
- [github.com/kynan/nbstripout: 0.5.0 → 0.6.1](kynan/nbstripout@0.5.0...0.6.1)

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

for more information, see https://pre-commit.ci

---------

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

.pre-commit-config.yaml

@@ -11,27 +11,27 @@ ci:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.0.1
+    rev: v4.4.0
     hooks:
       - id: trailing-whitespace
       - id: end-of-file-fixer
       - id: check-added-large-files
 
   - repo: https://github.com/psf/black
-    rev: 21.11b1
+    rev: 23.9.1
     hooks:
       - id: black
         name: "Black: The uncompromising Python code formatter"
 
   - repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
+    rev: 5.12.0
     hooks:
       - id: isort
         name: "Sort Imports"
         args: [ "--profile black" ]
 
   - repo: https://github.com/PyCQA/bandit
-    rev: 1.7.0
+    rev: 1.7.5
     hooks:
       - id: bandit
         language_version: python3
@@ -50,6 +50,6 @@ repos:
         pass_filenames: false
 
   - repo: https://github.com/kynan/nbstripout
-    rev: 0.5.0
+    rev: 0.6.1
     hooks:
       - id: nbstripout

chitra/coordinates.py

@@ -5,7 +5,6 @@
 
 
 class BoundingBoxes:
-
     CENTER = "XXYY"
     CORNER = "XYXY"
 

chitra/datagenerator.py

@@ -34,7 +34,6 @@ def get_label(filename):
 
 class ImageSizeList:
     def __init__(self, img_sz_list=None):
-
         if (
             isinstance(img_sz_list, (list, tuple))
             and len(img_sz_list) != 0

chitra/dataloader.py

@@ -120,7 +120,6 @@ def _get_classnames(self, list_folders, encode_classes: bool = True):
             self._encode_classes()
 
     def _encode_classes(self):
-
         class_names = sorted(self.CLASS_NAMES)
 
         for i, e in enumerate(class_names):

chitra/serve/api.py

@@ -80,7 +80,6 @@ async def predict_question_answer(self, data: schema.QnARequest):
         return x
 
     def setup(self, **_):
-
         if self.api_type in (IMAGE_CLF, OBJECT_DETECTION):
             self.app.post("/api/predict-image")(self.predict_image)
 

chitra/serve/cloud/aws_serverless.py

@@ -39,7 +39,6 @@ def index():
         return {"hello": "world"}
 
     def predict(self) -> dict:
-
         data_processor = self.data_processor
         x = self.app.current_request.raw_body
         logger.debug(f"raw body type={type(x)}")