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Once we know how to count how often words occur in the input, a logical next step is to write a program to generate a cross-reference table that indicates where each word occurs in the input This extension requires several changes to our basic program First, instead of reading a word at a time, we'll need to read a line at a time, so that we can associate line numbers with words Once we're reading lines instead of words, we'll need a way to break each line into its constituent words Fortunately, we already wrote such a function, named split, in 611/103 We can use this function to turn each input line into a vector<string>, from which we can extract each word Rather than using split directly, we're going to make it a parameter to the cross-reference function That way, we leave open the possibility of changing the way we find the words on a line For example, we could pass the find_urls function from 613/105, and use the cross-reference function to see where URLs appear in the input As before, we will use a map with keys that are the distinct words from the input This time, however, we will have to associate a more complicated value with each key Instead of keeping track of how often the word occurs, we want to know all the line numbers on which the word occurred Because any given word may occur on many lines, we will need to store the line numbers in a container When we get a new line number, all we will need to do is append that number to those that we already have for that word Sequential access to the container elements will suffice, so we can use a vector to keep track of line numbers Therefore, we will need a map from string to vector<int> With these preliminaries out of the way, let's look at the code:.



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// find all the lines that refer to each word in the input map<string, vector<int> > xref(istream& in, vector<string> find_words(const string&) = split) { string line; int line_number = 0; map<string, vector<int> > ret; // read the next line while (getline(in, line)) { ++line_number; // break the input line into words vector<string> words = find_words(line); // remember that each word occurs on the current line for (vector<string>::const_iterator it = wordsbegin(); it != wordsend(); ++it) ret[*it]push_back(line_number); } return ret; }

the files that have been updated, or explain how to access the software that has just been installed Figure 74 shows a summary page

class KeyInput { private long peer; private native long create(); private native void destroy(long peer); public KeyInput() { peer = create(); } public destroy() { destroy(peer); } private void keyPressed(int key) { /* process the key event */ } }





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Both the return type and the argument list of this function deserve attention If you look at the declaration of our return type and the local variable ret, you will see that we carefully wrote >> instead of >> The compiler needs that space, because if it sees >> without intervening spaces, it will assume that it is looking at an >> operator, rather than at two separate > symbols

In the argument list, notice that find_words defines a function parameter, which captures our intent to pass to xref the function to use to split the input into words The other interesting thing is that we say = split after the definition of find_words, which indicates that this parameter has a default argument When we give a parameter a default argument, we're saying that callers can omit that argument if they wish If they supply an argument, the function will use it If they omit the argument, the compiler will substitute the default Thus, users can call this function in either of two ways:

xref(cin); xref(cin, find_urls); // uses split to find words in the input stream // uses the function named find_urls to find words

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A summary page differs from a confirmation page A confirmation page prepares users for the work that the wizard is about to perform and provides an opportunity for users to make changes A summary page summarizes work that has been performed Provide a summary page if a wizard has generated additional information that a user might want to examine after the task is completed

The create native method implementation allocates an instance of the C++ structure key_input C++ structures are similar to C++ classes, with the only difference being that all members are by default public as opposed to private We use a C++ structure instead of a C++ class in this example mainly to avoid confusion with classes in the Java programming language

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