Changed names of methods in KernelFactory.py and Image.py to snake case

Image.py

@@ -15,7 +15,7 @@ class Image:
         self.pixels = pixels
 
     @icontract.require(lambda filename: filename.endswith(Image.PGM_FILE_EXTENSION), "provided filename should be in .pgm format")
-    def readFromFile(self, filename):
+    def read_from_file(self, filename):
         file = open(filename, "r")
         content = file.readlines()
         content = Image.remove_comments(content)

KernelFactory.py

@@ -4,17 +4,17 @@ import icontract
 class KernelFactory:
 
     @staticmethod
-    def createVerticalPrewittKernel():
+    def create_vertical_prewitt_kernel():
         return [-1, -1, -1, 0, 0, 0, 1, 1, 1]
 
 
     @staticmethod
-    def createHorizontalPrewittKernel():
+    def create_horizontal_prewitt_kernel():
         return [-1, 0, 1, -1, 0, 1, -1, 0, 1]
 
     @staticmethod
     @icontract.require(lambda radius: isinstance(radius, int) is True, f"wrong datatype for radius provided")
-    def createBoxFilter(radius):
+    def create_box_filter(radius):
         dimension = ((2 * radius) + 1) ** 2
 
         return [1 / dimension for _ in range(dimension)]

main.py

@@ -7,14 +7,14 @@ from ClampingBorderBehavior import ClampingPaddingBorderBehavior
 
 def aufgabe1():
     d = Image()
-    d.readFromFile("Bild1.pgm")
+    d.read_from_file("Bild1.pgm")
 
 
     zero_p_bb = ZeroPaddingBorderBehavior()
     clamping_p_bb = ClampingPaddingBorderBehavior()
 
-    horizontal_pk = Kernel(KernelFactory().createHorizontalPrewittKernel())
-    vertical_pk = Kernel(KernelFactory().createVerticalPrewittKernel())
+    horizontal_pk = Kernel(KernelFactory().create_horizontal_prewitt_kernel())
+    vertical_pk = Kernel(KernelFactory().create_vertical_prewitt_kernel())
 
     d.convolve(horizontal_pk, zero_p_bb, "./images/Ergebnis1-horizontal(zero-padding).pgm")
     d.convolve(horizontal_pk, clamping_p_bb, "./images/Ergebnis1-horizontal(clamping-padding).pgm")
@@ -27,10 +27,10 @@ def aufgabe2():
     clamping_p_bb = ClampingPaddingBorderBehavior()
 
     e = Image()
-    e.readFromFile("Bild2.pgm")
-    boxfilter_3 = Kernel(KernelFactory().createBoxFilter(1))
-    boxfilter_11 = Kernel(KernelFactory().createBoxFilter(5))
-    boxfilter_27 = Kernel(KernelFactory().createBoxFilter(13))
+    e.read_from_file("Bild2.pgm")
+    boxfilter_3 = Kernel(KernelFactory().create_box_filter(1))
+    boxfilter_11 = Kernel(KernelFactory().create_box_filter(5))
+    boxfilter_27 = Kernel(KernelFactory().create_box_filter(13))
     e.convolve(boxfilter_3, zero_p_bb, "./images/Ergebnis2-3(zero-bb).pgm")
     e.convolve(boxfilter_3, clamping_p_bb, "./images/Ergebnis2-3(clamping_p_bb).pgm")
     e.convolve(boxfilter_11, clamping_p_bb, "./images/Ergebnis2-11.pgm")