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It is also possible for Robosapien to simply play back the routines you have programmed into its reactive sensor programs, without waiting for touch or sound input. To do this, rather than using the red command level sonic, left, or right sensor program buttons as one of your programming steps, go into green command level as you are programming and enter the Program Execute command. This still counts as a single command for programming purposes, and using this method, it is possible (though not advisable) for Robosapien to play the All Demo command 84 times in a row without stopping. If you aren t sick of the song in the Dance Demo already, you will be if you try this. One final note on combining program modes: When you have programmed the master command program to include reactive sonic sensor programs, there is no need to program in a listen command Robosapien can detect that the next step involves the sonic sensor and goes into listen mode automatically. This holds true whether the sonic sensor is the first step in the master command mode program, the last step, or if it is mixed in with other commands. Very handy, and it saves you a programming step by not having to program in listen.

It is very important to spend enough time on designing the data model before you start coding your applications. Data model mistakes discovered in a later stage, when the system is already in production, are very difficult and expensive to fix.

png_set_gray_1_2_4_to_8(png_ptr); } if (png_get_valid(png_ptr, info_ptr, PNG_INFO_tRNS)) { png_set_tRNS_to_alpha(png_ptr); } if (bit_depth == 16) { png_set_strip_16(png_ptr); } if (bit_depth < 8) { png_set_packing(png_ptr); } if (color_type == PNG_COLOR_TYPE_GRAY || color_type == PNG_COLOR_TYPE_GRAY_ALPHA) { png_set_gray_to_rgb(png_ptr); }

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In a database, we store facts about certain objects. In database jargon, such objects are commonly referred to as entities. For each entity, we are typically interested in a set of observable and relevant properties, commonly referred to as attributes. When designing a data model for your information system, you begin with two questions: 1. Which entities are relevant for the information system 2. Which attributes are relevant for each entity, and which values are allowed for those attributes We ll add a third question to this list before the end of this chapter, to make the list complete. For example, consider a company in the information technology training business. Examples of relevant entities for the information system of this company could be course attendee, classroom, instructor, registration, confirmation, invoice, course, and so on. An example of a partial list of relevant attributes for the entity ATTENDEE could be the following: Registration number Name Address City Date of birth Blood group Age Gender For the COURSE entity, the attribute list could look as follows: Title Duration (in days) Price Frequency Maximum number of attendees

With this code in place, libpng will automatically convert all PNG image formats into either RGB or RGBA.

Summary

Note There are many different terminology conventions for entities and attributes, such as objects,

To compress image data into the PVRTC format, Imagination s PowerVR SDK comes with a pre-compiled library called libPVRTexLib. This library expects the data in 32 bit RGBA format. If the PNG file doesn t have an alpha channel, I simply convert the RGB information into 32 bits and set the 8 bits for the alpha channel to 255. Compressing the image is accomplished by these lines of code (see src/resource/pvrtc/PvrtcResourceWriter.cpp):

object types, types, object occurrences, and so on. The terminology itself is not important, but once you have made a choice, you should use it consistently.

Robosapien gives you a lot of flexibility in terms of programming, once you get acquainted with some advanced programming tips, such as conditional reflex programming and using the program execute as a single step in the master command routine. With practice, these will become second nature to you and you will become very adept at programming Robosapien and amazing your friends! Read on for more advanced examples, and some ideas that I hope will pique your curiosity to explore Robosapien s programming further on your own.

bool PvrtcResourceWriter::write(const Image& image) { ASSERT_M(image.getFormat() == Image::R8G8B8A8, "Input image must be RGBA."); ASSERT_M(image.getHeight() == image.getWidth(), "Input image must be square."); ASSERT_M(image.getHeight() >= 32, "Input image must be at least 32x32 pixels."); bool result = true; PVRTRY { // 1. Wrap RGBA data in PVR structure. CPVRTexture originalTexture(image.getWidth(), image.getHeight(), 0 /*num mipmaps*/, 1 /*num surfaces*/, false /*border*/, false /*twiddled*/, false /*cube map*/, false /*volume*/, false /*false mips*/, false /*has alpha*/, m_FlipVertically /*vertically flipped*/, eInt8StandardPixelType, 0.0f /*normal map*/, (uint8*)image.getData()); // 2. Apply transformations CPVRTextureHeader processHeader(originalTexture.getHeader());

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