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You won t be surprised to learn that the random module is used to generate random numbers, although you may be surprised to learn that the numbers it generates aren t truly random. That s because computers aren t actually capable of selecting something at random; they will do the same thing again given identical conditions. The numbers that random generates are pseudorandom, which means they are pulled from a very long sequence of numbers that appear random but will eventually repeat if you generate enough of them. Fortunately you can use them in a game because nobody will notice if they repeat after a few billion times! Random (or pseudorandom) numbers are very useful in games to stop them from getting predictable. If a game has no random elements, players will eventually memorize all the sequences of actions, making it less fun (for most people). Let s write a short script to simulate ten throws of a standard six-sided die (Listing 2-8). Listing 2-8. Dice Simulator import random for roll in xrange(10): print random.randint(1,6) Wow, just three lines. All this does is import the random module, then call random.randint ten times and prints the results. The function randint takes two parameters, a and b, and returns a pseudorandom number in the range of a to b (possibly including the end values). So randint(1, 6) returns 1, 2, 3, 4, 5, or 6 as a die would.

The OpenEmbedded project got started as the build infrastructure for the Sharp Zaurus hand-held computer that ran Linux. The OpenEmbedded system uses the BitBake (more on that later) system for describing packages patches and their interrelationships. Formally, the project views the BitBake system as the build infrastructure for metadata supplied by the OpenEmbedded project. OpenEmbedded, like the other distribution builders, builds a kernel, toolchain, and root file system. The BitBake software has the notion of recipes that it uses to download and cross-build packages; you can use this software to build other software as well. Unlike many project, OpenEmbedded recommends that you check out the project from a source code repository. To get updates, refresh the project s files from source control. You may find this disorienting; or it may leave you with the impression that the software isn t done. Because of the rapid changes to OpenEmbedded and the fact that it s implemented in Python plus shell scripts (meaning there s no separate compilation step for you to perform), this model works well. The BitBake model requires an earnest learning commitment. The software ships with an example configuration file that you can use to create a simple build. However, the software doesn t have a UI, so figuring out what it can do requires that you read the documentation. The OpenEmbedded site contains quite a bit of information, but it seems to operate under the assumption that you re already familiar with the technology. The OpenEmbedded software models the software build into the following parts:

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Distribution: This distribution contains a list of packages for the root file system and the kernel to use for the build. It also contains the settings for the root file system type. Machine: The machine data describes the hardwarethe distribution will be running on: for example, the size of the flash partitions or the name device for the serial console. The machine also has an associated set of packages that address features specific to that machine. Package recipe: The metadata part of the OpenEmbedded project is a library of BitBake recipes. A recipe specifies where to download a package, what patches to apply, and when and how to install the package in the target machine s root file system.

Figure 7-36. Selecting your regional and keyboard settings 5. The restore process will now detect your network connection and hard drives attached to the computer, as shown in Figure 7-37. In order to check that all the hardware has been detected properly, click the Show Details button.

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