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The widespread availability and adoption of Eclipse has spawned an entire cottage industry devoted to adding new features to the environment As of this writing, there are more than 1,000 plug-ins available to extend Eclipse in almost any conceivable direction These range from high-quality, commercial, and open source offerings to not-so-high-quality experiments In working with Eclipse over the last several years, we have identified (and in some cases, created for ourselves) a number of very useful Eclipse add-ons

The following list of plug-ins some commercial, some open source, some expensive, some very inexpensive or free represents our short list of plug-ins that you should seriously take a look at All of these are very high-quality and very well-respected in the Eclipse community

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Both versions of our extract_fails function share a property with many programs that work with containers, which property is not immediately obvious from the code: Each of these functions accesses container elements only sequentially That is, each version of the function looks at each student record in turn, decides what to do with it, and then proceeds to the next record The reason that this property is not obvious from the code is that the function uses an integer, i, to access each element of students It is possible to compute the value of an integer in arbitrary ways, which means that in order for us to determine whether we are accessing the container sequentially, we must look at every operation that might affect the value of i, and determine that operation's effect Another way to view the problem is that when we write students[i] to access an element of students, we are implicitly saying that we might access students's elements in any order, not just sequentially The reason we care about the sequence in which we access container elements is that different types of containers have different performance characteristics and support different operations If we know that our program uses only those operations that a particular type of container supports efficiently, then we can make our program more efficient by using that kind of container In other words, because our function requires only sequential access, we do not need to use indices, which provide the ability to access any element randomly Instead, we'd like to rewrite the function so as to restrict access to the container elements to operations that support only sequential access To that end, the C++ library supplies an assortment of types called iterators, which allow access to data structures in ways that the library can control This control lets the library ensure efficient implementation.

Effective Java: Programming Language Guide /* Discriminated union */ #include "mathh" typedef enum {RECTANGLE, CIRCLE} shapeType_t; typedef struct { double length; double width; } rectangleDimensions_t; typedef struct { double radius; } circleDimensions_t; typedef struct { shapeType_t tag; union { rectangleDimensions_t rectangle; circleDimensions_t circle; } dimensions; } shape_t; double area(shape_t *shape) { switch(shape->tag) { case RECTANGLE: { double length = shape->dimensionsrectanglelength; double width = shape->dimensionsrectanglewidth; return length * width; } case CIRCLE: { double r = shape->dimensionscircleradius; return M_PI * (r*r); } default: return -10; /* Invalid tag */ } }

CodePro AnalytiX (available for $1299, with a noncommercial combined version available for $99) adds more than 500 enhancements to Eclipse in the areas of best practices, analytics, testing, usability, and collaboration

We've made a fair start on the core C++ language, and we've learned something about the string and vector classes as well We can solve a lot of problems with just these tools In this chapter, we'll expand our focus beyond these facilities, and start to understand in more depth how to use the library As we'll see, the facilities that the library provides can help us solve messier problems than the ones that we've confronted so far Not only does the standard library provide useful data structures and functions, but it also reflects a consistent architecture: Once we have learned how one kind of container behaves, we are well on our way to understanding how to use all the library containers For example, as we'll see in the second half of this chapter, we can often use a string as if it were a vector Many useful operations on one library type are logically the same as the operations on another The library is constructed so that such equivalent operations work the same way on different types

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