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

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src/PIL/ImageEncryption.py

@@ -1,11 +1,12 @@
 import io
 import os
-from PIL import Image
+
 from cryptography.fernet import Fernet
 
+from PIL import Image
+
+
 class ImageEncryption:
-    
-    
     def __init__(self, image_path, key_path=None):
         """
         클래스를 초기화합니다.
@@ -32,10 +33,10 @@ class ImageEncryption:
         """
         self.image_path = image_path
         if key_path is None:
-                self.key = Fernet.generate_key()
+            self.key = Fernet.generate_key()
-                self.image = Image.open(image_path)
+            self.image = Image.open(image_path)
         else:
-            with open(key_path, 'r') as key_file:
+            with open(key_path) as key_file:
                 self.key = key_file.read().encode()
                 print(self.key)
         self.cipher_suite = Fernet(self.key)
@@ -59,21 +60,21 @@ class ImageEncryption:
         Reads the image file as bytes and encrypts the data using Fernet.
         Saves the encrypted data in binary format at the specified path.
         """
-        with open(self.image_path, 'rb') as image_file:
+        with open(self.image_path, "rb") as image_file:
             original_image_data = image_file.read()
         encrypted_data = self.cipher_suite.encrypt(original_image_data)
-        with open(savePath, 'wb') as encrypted_image_file:
+        with open(savePath, "wb") as encrypted_image_file:
             encrypted_image_file.write(encrypted_data)
 
         # Get the directory of the image file
         directory = os.path.dirname(savePath)
         # Create the path for the key file
-        key_path = os.path.join(directory, 'key.txt')
+        key_path = os.path.join(directory, "key.txt")
 
-        with open(key_path, 'w') as key_file:
+        with open(key_path, "w") as key_file:
             key_file.write(self.key.decode())
 
-    #이미지를 복호화 (암호화 해제)하는 경우 savePath에 복호화된 이미지를 저장할 경로를 넣어주면 된다.
+    # 이미지를 복호화 (암호화 해제)하는 경우 savePath에 복호화된 이미지를 저장할 경로를 넣어주면 된다.
     def decrypt_image(self, savePath):
         """
         이미지를 복호화합니다.
@@ -92,16 +93,15 @@ class ImageEncryption:
         Reads the encrypted image file as bytes, decrypts the data using Fernet,
         and saves the decrypted image at the specified path.
         """
-        with open(self.image_path, 'rb') as encrypted_image_file:
+        with open(self.image_path, "rb") as encrypted_image_file:
             encrypted_data = encrypted_image_file.read()
         decrypted_data = self.cipher_suite.decrypt(encrypted_data)
         decrypted_image = Image.open(io.BytesIO(decrypted_data))
-        if decrypted_image.mode == 'RGBA':
+        if decrypted_image.mode == "RGBA":
-            decrypted_image = decrypted_image.convert('RGB')
+            decrypted_image = decrypted_image.convert("RGB")
         decrypted_image.save(savePath)
 
-    
+    # to be deleted
-    #to be deleted
     def decrypt_show_image(self, savePath):
         """
         이미지를 복호화하고 복호화된 이미지 파일을 보여줍니다.
@@ -120,11 +120,11 @@ class ImageEncryption:
         Reads the encrypted image file as bytes, decrypts the data using Fernet,
         and saves the decrypted image at the specified path.
         """
-        with open(self.image_path, 'rb') as encrypted_image_file:
+        with open(self.image_path, "rb") as encrypted_image_file:
             encrypted_data = encrypted_image_file.read()
         decrypted_data = self.cipher_suite.decrypt(encrypted_data)
         decrypted_image = Image.open(io.BytesIO(decrypted_data))
-        if decrypted_image.mode == 'RGBA':
+        if decrypted_image.mode == "RGBA":
-            decrypted_image = decrypted_image.convert('RGB')
+            decrypted_image = decrypted_image.convert("RGB")
         decrypted_image.save(savePath)
         Image.open(savePath).show()

src/PIL/ImageGradation.py

@@ -1,53 +1,68 @@
 import math
-import Image, ImageDraw,ImageFilter
+
+import Image
+import ImageDraw
+import ImageFilter
+
 
 class Gradation(ImageFilter):
+    name = "Gradation"
 
-    name ="Gradation"
+    def __init__(self, start_color, end_color, grad_dir="row"):
+        self.grad1 = start_color
+        self.grad2 = end_color
+        self.shape = grad_dir
 
-    def __init__(self,start_color,end_color,grad_dir='row'):
+    def apply_gradation_filter(self, image):
-        self.grad1=start_color
-        self.grad2=end_color
-        self.shape=grad_dir
-
-    def apply_gradation_filter(self,image):
         # 그라데이션 필터 적용
         width, height = image.size
 
-        if self.shape == 'row' or self.shape == 'col':
+        if self.shape == "row" or self.shape == "col":
             grad_image = self.visual_gradation(width, height)
-        elif self.shape == 'circular':
+        elif self.shape == "circular":
             grad_image = self.circular_gradation(width, height, self.grad1, self.grad2)
         else:
             raise ValueError("Invalid shape. Use 'row', 'col', or 'circular'.")
 
         # 원본 이미지와 그라데이션 이미지를 합침
-        blended_image = Image.blend(image.convert('RGB'), grad_image, 0.5)
+        blended_image = Image.blend(image.convert("RGB"), grad_image, 0.5)
-        blended_image = blended_image.convert('RGB')
+        blended_image = blended_image.convert("RGB")
 
         return blended_image
 
-    def visual_gradation(self,width, height):
+    def visual_gradation(self, width, height):
         image = Image.new("RGB", (width, height))
         # 이미지 Draw 객체 생성
 
         draw = ImageDraw.Draw(image)
 
-        if self.shape == 'col':
+        if self.shape == "col":
             for x in range(width):
                 # 색상 그라데이션 계산
-                red = int(self.grad1[0] * (1.0 - x / width) + self.grad2[0] * (x / width))
+                red = int(
-                green = int(self.grad1[1] * (1.0 - x / width) + self.grad2[1] * (x / width))
+                    self.grad1[0] * (1.0 - x / width) + self.grad2[0] * (x / width)
-                blue = int(self.grad1[2] * (1.0 - x / width) + self.grad2[2] * (x / width))
+                )
+                green = int(
+                    self.grad1[1] * (1.0 - x / width) + self.grad2[1] * (x / width)
+                )
+                blue = int(
+                    self.grad1[2] * (1.0 - x / width) + self.grad2[2] * (x / width)
+                )
 
                 # 현재 열에 대한 선 그리기
                 draw.line([(x, 0), (x, height)], fill=(red, green, blue))
-        elif self.shape == 'row':
+        elif self.shape == "row":
             for y in range(height):
                 # 색상 그라데이션 계산
-                red = int(self.grad1[0] * (1.0 - y / height) + self.grad2[0] * (y / height))
+                red = int(
-                green = int(self.grad1[1] * (1.0 - y / height) + self.grad2[1] * (y / height))
+                    self.grad1[0] * (1.0 - y / height) + self.grad2[0] * (y / height)
-                blue = int(self.grad1[2] * (1.0 - y / height) + self.grad2[2] * (y / height))
+                )
+                green = int(
+                    self.grad1[1] * (1.0 - y / height) + self.grad2[1] * (y / height)
+                )
+                blue = int(
+                    self.grad1[2] * (1.0 - y / height) + self.grad2[2] * (y / height)
+                )
 
                 # 현재 열에 대한 선 그리기
                 draw.line([(0, y), (width, y)], fill=(red, green, blue))
@@ -56,8 +71,7 @@ class Gradation(ImageFilter):
 
         return image
 
-    def circular_gradation(self,width, height):
+    def circular_gradation(self, width, height):
-
         # 새로운 이미지 생성
         image = Image.new("RGB", (width, height))
 
@@ -72,7 +86,7 @@ class Gradation(ImageFilter):
         for y in range(height):
             for x in range(width):
                 # 현재 좌표에서 중심 좌표까지의 거리 계산
-                distance = math.sqrt((x - center_x)**2 + (y - center_y)**2)
+                distance = math.sqrt((x - center_x) ** 2 + (y - center_y) ** 2)
 
                 # 반지름보다 크면 거리를 반지름으로 설정
                 distance = min(distance, radius)

src/PIL/Imagemosaic.py

@@ -1,5 +1,5 @@
 from PIL import Image
-import os
+
 
 def apply_mosaic_filter(image, block_size=20):
     """
@@ -20,7 +20,6 @@ def apply_mosaic_filter(image, block_size=20):
 
     for x in range(0, width, block_size):
         for y in range(0, height, block_size):
-            
             # 원본 이미지에서 블록 잘라내기
             box = (x, y, x + block_size, y + block_size)
             block = image.crop(box)
@@ -29,7 +28,7 @@ def apply_mosaic_filter(image, block_size=20):
             average_color = (
                 sum(p[0] for p in block.getdata()) // block_size**2,
                 sum(p[1] for p in block.getdata()) // block_size**2,
-                sum(p[2] for p in block.getdata()) // block_size**2
+                sum(p[2] for p in block.getdata()) // block_size**2,
             )
 
             # 평균 색상으로 새 이미지를 생성하여 필터링된 이미지에 붙여넣기

src/PIL/blackGradation.py

@@ -1,17 +1,22 @@
 from PIL import Image, ImageDraw
 
+
 class GradationFilter:
     def __init__(self, image_path):
         self.original_image = Image.open(image_path)
 
     def apply_gradation_filter(self, start_color, end_color, input_alpha=0.5):
-        alpha_mask = self.original_image.convert("L").point(lambda x: 0 if x == 0 else 255)
+        alpha_mask = self.original_image.convert("L").point(
+            lambda x: 0 if x == 0 else 255
+        )
         self.original_image.putalpha(alpha_mask)
 
         width, height = self.original_image.size
         grad_image = self.visual_gradation(width, height, start_color, end_color)
 
-        result_image = Image.alpha_composite(Image.new("RGBA", self.original_image.size, (0, 0, 0, 0)), grad_image)
+        result_image = Image.alpha_composite(
+            Image.new("RGBA", self.original_image.size, (0, 0, 0, 0)), grad_image
+        )
         result_image.paste(self.original_image, (0, 0), self.original_image)
 
         return result_image
@@ -30,7 +35,8 @@ class GradationFilter:
 
     @staticmethod
     def hex_to_rgb(hex_color):
-        return tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4))
+        return tuple(int(hex_color[i : i + 2], 16) for i in (0, 2, 4))
+
 
 try:
     image_path = "Gradation/60D2151A-A12A-4F89-9D79-D7FD5DBEA4C4.png"
@@ -46,7 +52,7 @@ try:
     filtered_image = gradation_filter.apply_gradation_filter(start_color, end_color)
     filtered_image.show()
 
-except IOError:
+except OSError:
     print("Error: Not a PNG file.")
 except Exception as e:
     print(f"An unexpected error occurred: {e}")