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Inside the move method, the thread renders each frame to the SurfaceView. Every drawing operation should be prefaced with lockCanvas(), which provides a Canvas to apply drawing calls. Then the thread iterates through each item in its display list, updates it to a new position, and draws an icon to the Canvas at that location. It also checks whether any item has hit a boundary of the Surface, so it can reverse direction in those cases. We must preface each frame with drawColor() to clear the previous frame’s contents. Without this, as the icons move, you would see a trail behind them of the icon’s previous locations. In some applications, this may be desirable (such as a painting application where each event should be added to the others), but not for our example. After all the drawing calls are made, the application must call unlockCanvasAndPost() to render the data to the screen.
A vast number of organic molecules are known. In order to distinguish one from another, chemists give them names. There are two kinds of names: trivial and system- atic. Trivial names are often brand names (such as aspirin, and the amino acid pheny- lanine shown in Figure 1.1). Trivial names don’t give any real clue as to the structure of a molecule, unless you are the recipient of divine inspiration. The IUPAC systematic name for phenylanine is 2-amino-3-phenyl-propionic acid. Any professional scien- tist with a training in chemistry would be able to translate the systematic name into Figure 1.1 or write down the systematic name, given Figure 1.1. When chemists meet to talk about their work, they draw structures. If I wanted to discuss the structure and reactivity of phenylanine with you over a cup of coffee, I would draw a sketch, such as those shown in Figure 1.1, on a piece of paper. There are various conventions that we can follow when drawing chemical structures, but the conventions are well understood amongst professionals. First of all, I haven’t shown the hydrogen atoms attached to the benzene ring (or indeed the carbon atoms within), and I have taken for granted that you understand that the normal valence of carbon is four. Everyone understands that hydro- gens are present, and so we needn’t clutter up an already complicated drawing.
buildG instead. This function takes as parameters a tuple with the minimal and maximum identifier (its bounds) and a list of tuples that correspond to each directed edge in the graph. There is a large set of functions for inspecting the graph itself, like vertices and edges, returning the sets corresponding to their names. However, the great power of this module is the complete set of functions for walking through the elements in graphs and working with them, which are usually quite tricky to implement by hand. For example, let's say you have a list of things to do for building a time machine. However, these tasks have some relative order: to create the door of the time machine, you first need to buy the aluminum from which it is made. This ordering can be represented using a graph, where there's an edge from a to b if a must precede b. The following code generates the first graph in Figure 4-6:
The second pitfall is translation optimization, where the optimization simply changes the nature of the problem rather than offers a real solution. The main issue with the way that the category and pagination data is generated is that it requires computation that could be avoided by caching the information. This seems like a good idea, but caching requires memory, which is often in short supply in mobile devices. The same kinds of devices that would benefit from not having to process a few data records are the same ones that lack the capacity to store some additional data to avoid that computation. And, if you are sending the client so much data that the user has to wait while the processing is performed, then the problems are more fundamental, and you should consider the way you have designed your application—perhaps obtaining and processing data in smaller chunks would be a more sensible solution. I am not saying that you should not optimize your applications, but I am saying that you should not do so until you have a real problem to solve and that your optimizations should be a solution to the problem. Don’t let an abhorrence of inefficiency prevent you from seeing that your development time is important and should only be spent solving real issues.
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