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CHAPTER 11 LIGHTS, CAMERA, ACTION!

After unpacking the code, change directories into the source directory and use the configure command to set up the build environment: $ $ $ $ cd ./Python-<version> CC=< compiler > ./configure prefix=< board-rfs > make make install

Figure 11-2. Click Start Test to start the tests. You can monitor the progress of the testing of each element, as shown in Figure 11-3. The following tests will be performed on your broadband router: Basic Internet Connectivity Test Network Address Translator Type Traffic Congestion Test TCP High Performance Test UPnP Support Test Multiple Simultaneous Connection States Test

Change < board-rfs > to the directory containing the board s root file system, because this is a directory on the development host before it s readied for deployment on the board. The build process chugs along and produces a working Python virtual machine. Code development can occur on any machine, even one without Python, because Python binary on the target machine can be used to compile the code. The best practice, however, is to use a Python runtime on the development machine to test the code for logic and syntax errors. The object code produced by Python can then be put on the target machine. Take the following example program: import sys def main(argv = None): for arg in argv: print arg if __name__ == "__main__": main(sys.argv) There isn t a compile utility in Python proper; you produce object code by importing the module and having interpreter compile the code as a side effect. Helper modules make this easy, such as the compileall module that can be pointed at a directory or path and that imports the files. For example, this simple script compiles all the code in the current directory: import compileall compileall.compile_dir("."); After compilation, you can move the pyc files to the target s root file system. When Python sees an import command, it finds the compiled python program in the path (or current directory) and loads it for execution.

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Before the tank is drawn, the model-matrix is set so that the camera is slightly above the tank and looking down on it this gives a slightly more interesting viewpoint than looking at it along the z axis. The call to glRotatef(15, 1, 0, 0) creates a rotation matrix of 15 degrees around the x axis, which is the equivalent of looking down a little. This rotation matrix is multiplied by a translation matrix, with a call to glTranslatef(0.0, -1.5, -3.5), which effectively moves the tank down by 1.5 units and back by 3.5 units. The second call to glRotatef makes the tank rotate about the y axis so we can see it in motion. When you run Listing 11-8, you should see a formidable-looking tank rotating about the y axis (see Figure 11-6). If you have a better model you would like to use in place of the tank, then replace mytank.obj with the file name of your model.

Note Detailed information on each test and what constitutes a success is presented to you for review

Python s debugger is a module that s imported before a module is run, but it doesn t support remote debugging in the same way that GCC does. To debug the code on the target, put the debugger module, pdb, on Python s import path on the target machine, and do the same process from a console. A debugging session looks like this: >>> >>> >>> >>> import pdb import hello pdb.break('hello.main:1') pdb.run('hello.main()')

Note Not all 3D modeler applications use the same scale. If you find that your model is extremely large or very small, you may have to scale it before exporting, or change the code to view the object at a different distance.

This series of commands loads the pdb debugger and then the module to debug. A break point is set for the first line in the hello.main function, and then main runs, tripping the breakpoint. The debugger module is only 40KB, so there should be space for it on any system. The debugger doesn t require much in the way of RAM resources, so it s practical to run on systems without much free memory.

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