def METHOD_NAME(
    self, image, r1: Integer, r2: Integer, c1: Integer, c2: Integer, evaluation
):
    "ImageTake[image_Image, {r1_Integer, r2_Integer}, {c1_Integer, c2_Integer}]"
    first_row = r1.value
    last_row = r2.value
    first_col = c1.value
    last_col = c2.value
    max_row, max_col = image.pixels.shape[:2]
    adjusted_first_row = clip_to(first_row, max_row)
    adjusted_last_row = clip_to(last_row, max_row)
    adjusted_first_col = clip_to(first_col, max_col)
    adjusted_last_col = clip_to(last_col, max_col)
    # if adjusted_first_row > adjusted_last_row:
    #     adjusted_first_row, adjusted_last_row = adjusted_last_row, adjusted_first_row
    # if adjusted_first_col > adjusted_last_col:
    #     adjusted_first_col, adjusted_last_col = adjusted_last_col, adjusted_first_col
    pixels = image.pixels[
        adjusted_first_col:adjusted_last_col, adjusted_last_row:adjusted_last_row
    ]
    if hasattr(image, "pillow"):
        box_coords = (
            adjusted_first_col,
            adjusted_first_row,
            adjusted_last_col,
            adjusted_last_row,
        )
        pillow = image.pillow.crop(box_coords)
        pixels = numpy.asarray(pillow)
        return Image(pixels, image.color_space, pillow=pillow)
    pixels = image.pixels[adjusted_first_row:adjusted_last_row]
    return Image(pixels, image.color_space, pillow=pillow)