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In order to formalize the discussions about the object-oriented Spin language, Parallax has defined some concepts that we need to be familiar with before we proceed. The definitions of these terms, as used by Parallax, first appeared in 2 and are repeated here:
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An application is a collection of object files that would be the equivalent of a
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single-file program in a non-object-based language. An application usually includes a top object file and a number of other objects, but an application can be a single object. An object is any file with a .spin extension, and it is a chunk of executable Spin code. An object may be designed to accomplish a whole application by itself, or it may be designed to interact with just a specific device. It can also be managed by another object as part of a larger application. An application s top object is where execution begins. This top object may include an OBJ declaration listing the other objects that will be called from the top object as the application is running. A method is the equivalent of a main routine or subroutine in other languages. Methods are created as private (PRI) or public (PUB) entities. Private methods can only be called from within the object they are a part of. Public methods can be called from any other object in the application by declaring the object in the OBJ declarations in the calling application. Methods return a result value automatically, although the result may not be used by the programmer. An object can contain any number of private and public methods and can call the public methods in other objects by referring to their encompassing objects. Called objects have to be in the same folder as the calling object or in the same folder as the Propeller Tool so that they can be found by the calling object. Global variables are defined under the VAR block and have to be defined as bytes (8 bits), words (16 bits), or longs (32 bits) as they are created.
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Global constants are defined under the CON block and are given names and values
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as they are created.
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Local variables are defined on the first line of the method they are used in. They
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are local to the method and are not available outside it. They will be defined as longs. Before we start talking about cogs, we need to keep a thing or two about a Spin program in mind. A Spin program contains the source code for each of the to-be active cogs within it. On startup, the initial cog assigns the code to the various other cogs, as specified. Once the program starts, the individual cogs are autonomous and can turn each other on and off. There are no interrupts in the Spin system, so cogs are assigned various, what would normally be, interrupt-driven tasks. A cog can undertake either one or more than one task, depending on how rapidly the tasks need to be completed. Because there are no interrupts in Spin, all the programming in a cog is linear. Parallel processing is the holy grail of the computer industry, and the Propeller chip provides an exciting opportunity for us amateurs to investigate the possibilities. Although it is, of course, possible to do everything with a single processor, it is a lot easier if you have a number of processors available to do the work in a parallel environment. Each of the eight processors in the Propeller is capable of acting like the usual single-processor microcomputer and can undertake all the tasks you would expect a microcontroller to be able to execute. (Again, interrupts are not provided in the Propeller system, meaning that we cannot stop in the middle of a task and take care of something critical that comes up. Everything has to wait its turn.) The more pressing problem we face in small systems such as the Propeller is the constraint imposed by the limited amount of memory provided with each cog. It inhibits the handling of large amounts of data and the inclusion of standardized math/trig/log packages. A Propeller has an external EEPROM attached to it that provides memory for program storage. It does not provide random access to the external memory s contents, however. This limitation is imposed by the fact that most serial one-wire memories have to be read in a way that inhibits their use as random-access devices. Usually you have to read everything from the beginning to a specific memory location, and that is not very handy except for program storage and databases that may be read in all at one time. There are two ways of organizing a parallel processing instruction set that executes a program:
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