+ # Known array of images
+ var arrays_of_images = new Array[String]
+
+ # Attributes of the generated class
+ var attributes = new Array[String]
+
+ # Statements for the generated `load_all` method
+ var load_exprs = new Array[String]
+
+ # Add images to Nit source file
+ for image in images do
+ # Adapt coordinates to new top left and scale
+ var coordinates = document.coordinates(image)
+
+ var nit_name = image.name
+ var last_char = nit_name.chars.last
+ if last_char.to_s.is_numeric then
+ # Array of images
+ # TODO support more than 10 images in an array
+
+ nit_name = nit_name.substring(0, nit_name.length-1)
+ if not arrays_of_images.has(nit_name) then
+ # Create class attribute to store Array
+ arrays_of_images.add(nit_name)
+ attributes.add "\tvar {nit_name} = new Array[Image]\n"
+ end
+ load_exprs.add "\t\t{nit_name}.add(main_image.subimage({coordinates}))\n"
+ else
+ # Single image
+ attributes.add "\tvar {nit_name}: Image is noinit\n"
+ load_exprs.add "\t\t{nit_name} = main_image.subimage({coordinates})\n"
+ end
+ end
+