pre-commit: Upgrade psf/black for stable style 2023 (#8110)

* pre-commit: Upgrade psf/black for stable style 2023

Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310

> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…

Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit.

I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black.

* [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>

computer_vision/cnn_classification.py

@@ -28,7 +28,6 @@ import tensorflow as tf
 from tensorflow.keras import layers, models
 
 if __name__ == "__main__":
-
     # Initialising the CNN
     # (Sequential- Building the model layer by layer)
     classifier = models.Sequential()

computer_vision/harris_corner.py

@@ -9,7 +9,6 @@ https://en.wikipedia.org/wiki/Harris_Corner_Detector
 
 class HarrisCorner:
     def __init__(self, k: float, window_size: int):
-
         """
         k : is an empirically determined constant in [0.04,0.06]
         window_size : neighbourhoods considered
@@ -25,7 +24,6 @@ class HarrisCorner:
         return str(self.k)
 
     def detect(self, img_path: str) -> tuple[cv2.Mat, list[list[int]]]:
-
         """
         Returns the image with corners identified
         img_path  : path of the image
@@ -68,7 +66,6 @@ class HarrisCorner:
 
 
 if __name__ == "__main__":
-
     edge_detect = HarrisCorner(0.04, 3)
     color_img, _ = edge_detect.detect("path_to_image")
     cv2.imwrite("detect.png", color_img)