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potentially more ef cient approach An Image stores a single background color, plus the colors of those points in the image that differ from the background color This is done by using a dictionary as a kind of sparse array, with each key being an (x, y) coordinate and the corresponding value being the color of that point If we had a 100 100 image and half its points are the background color, we would need to store only 5 000 + 1 colors, a considerable saving in memory The Imagepy module follows what should now be a familiar pattern: It starts with a shebang line, then copyright information in comments, then a module docstring with some doctests, and then the imports, in this case of the os and pickle modules We will brie y cover the use of the pickle module when we cover saving and loading images After the imports we create some custom exception classes:

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We have shown only the rst two exception classes; the others (LoadError, SaveError, ExportError, and NoFilenameError) are all created the same way and all inherit from ImageError Users of the Image class can choose to test for any of the speci c exceptions, or just for the base class ImageError exception The rest of the module consists of the Image class and at the end the standard three lines for running the module s doctests Before looking at the class and its methods, let s look at how it can be used:

Implementing a Singleton There are cases in which there should be only one instance of a service, and that instance should be single threaded Tasks should be executed strictly in a FIFO ( rst in rst out) order with no parallelism Although this greatly

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The MIDP Specification provides two classes: Timer and TimerTask, that include functions for several types of timers The general setup of a timer is illustrated next In order to define a task to run, the programmer first defines a new timer task class by inheriting class TimerTask The code to be executed by the timer is defined in the run method of the TimerTask subclass (see class MyTask below) In order to set up the actual timer, instances of class Timer and the new timer task class are created (objects myTimer and myTask in this example), and the schedule method of the timer object is then called with the task object and the appropriate time values as parameters In this example, the timer will start executing in 10 milliseconds and will then repeat every 500 milliseconds

border_color = "#FF0000" # red square_color = "#0000FF" # blue width, height = 240, 60 midx, midy = width // 2, height // 2 image = ImageImage(width, height, "square_eyeimg") for x in range(width): for y in range(height): if x < 5 or x >= width - 5 or y < 5 or y >= height - 5: image[x, y] = border_color elif midx - 20 < x < midx + 20 and midy - 20 < y < midy + 20: image[x, y] = square_color imagesave() imageexport("square_eyexpm")

Notice that we can use the item access operator ([]) for setting colors in the image Brackets can also be used for getting or deleting (effectively setting to the background color) the color at a particular (x, y) coordinate The coordinates are passed as a single tuple object (thanks to the comma operator), the same as if we wrote image[(x, y)] Achieving this kind of seamless syntax integration is easy in Python we just have to implement the appropriate special methods,

which in the case of the item access operator are __getitem__(), __setitem__(), and __delitem__() The Image class uses HTML-style hexadecimal strings to represent colors The background color must be set when the image is created; otherwise, it defaults to white The Image class saves and loads images in its own custom format, but it can also export in the xpm format which is understood by many image processing applications The xpm image produced by the code snippet is shown in Figure 66

Concurrency and Instancing (Ser vice Behavior)

We will now review the Image class s methods, starting with the class line and the initializer:

class MyTask extends TimerTask { public void run() { } } myTimer = new Timer(); myTask = new MyTask(); myTimerschedule(myTask, 10, 500);

class Image: def __init__(self, width, height, filename="", background="#FFFFFF"): selffilename = filename self__background = background self__data = {} self__width = width self__height = height self__colors = {self__background}

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