Image2D.py

from PIL import Image
import numpy as np

class Image2D:
    ALPHA = 96
    LUMINANCE = 97
    LUMINANCE_ALPHA = 98
    RGB = 99
    RGBA = 100

    def __init__(self, format=None, width=None, height=None, image=None, palette=None):
        if format and width and height and image is not None:
            if palette:
                self.handle = self.create_palettized(format, width, height, image, palette)
            else:
                self.handle = self.create(format, width, height, image)
        elif format and width and height:
            self.handle = self.create_mutable(format, width, height)
        elif isinstance(image, Image.Image):
            self.handle = self.create_image(format, image)
        elif isinstance(image, bytearray):
            self.handle = self.create_image_impl(image)

    @staticmethod
    def create(format, width, height, image):
        if image is None:
            raise ValueError("Image cannot be None")
        if not isinstance(image, Image.Image):
            raise TypeError("Image must be an instance of PIL.Image")
        
        img_width = image.width
        img_height = image.height
        
        # Create and return some form of handle (in this case, we'll simulate with a tuple)
        return (format, img_width, img_height, np.array(image))

    @staticmethod
    def create_palettized(format, width, height, image, palette):
        if image is None or palette is None:
            raise ValueError("Image and palette cannot be None")
        # For simplicity, assume the creation returns a tuple with the image and palette information
        return (format, width, height, np.array(image), np.array(palette))

    @staticmethod
    def create_mutable(format, width, height):
        # Assuming this creates a mutable empty image (simulated with numpy array)
        return (format, width, height, np.zeros((height, width, 3), dtype=np.uint8))

    @staticmethod
    def create_image(format, image):
        if not isinstance(image, Image.Image):
            raise TypeError("Image must be an instance of PIL.Image")
        
        width, height = image.size
        # Return a simulated handle
        return (format, width, height, np.array(image))

    @staticmethod
    def create_image_impl(data, offset, length):
        # Simulate creating image from byte array (just returns a tuple for simplicity)
        return (None, len(data), 1, data)

    @staticmethod
    def get_image_rgb(img, offset, scanlength, x, y, width, height):
        # Convert region of image to RGB array (using numpy for simplicity)
        rgb = np.array(img.crop((x, y, x+width, y+height)))
        return rgb

    @staticmethod
    def is_opaque(img):
        return img.mode == "RGBA"  # Check if image has alpha channel

    def get_format(self):
        return self.handle[0]

    def get_width(self):
        return self.handle[1]

    def get_height(self):
        return self.handle[2]

    def is_mutable(self):
        return isinstance(self.handle, np.ndarray)

    def set(self, x, y, width, height, data):
        # Simulate setting a portion of an image with new data
        self.handle[y:y+height, x:x+width] = np.array(data).reshape(height, width, -1)

    def set_rgb(self, rgb, x, y, width, height, is_opaque):
        # Simulate setting RGB values (assuming is_opaque determines if alpha channel is added)
        rgb_array = np.array(rgb).reshape((height, width, 3))
        if is_opaque:
            rgb_array = np.dstack((rgb_array, np.ones((height, width, 1), dtype=np.uint8)*255))  # Add alpha channel
        self.set(x, y, width, height, rgb_array)

# Example usage
if __name__ == "__main__":
    img = Image.open('example.png')
    image_2d = Image2D(Image2D.RGBA, img.width, img.height, img)
    print("Image format:", image_2d.get_format())
    print("Image width:", image_2d.get_width())
    print("Image height:", image_2d.get_height())