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#include <stdio.h> int main(int argc,char **argv) { FILE* fd = fopen(argv[1],"r"); int lines = 0; int chars = 0; int words = 0; int ch = 0; while (1) { int lastchar = ch; ch = fgetc(fd); if (ch == EOF) { printf(" %d %d %d %s\n",lines,words,chars,argv[1]); return(0); } switch(ch) { case '\n': lines++; chars++; break; case ' ': chars++; if (lastchar != ' ') { words++; } break; default: chars++; } } } The last example is the one in Java. At 20 lines, the length of this example is on par with the OCaml example program because of the extensive Java standard library, which has built-in string operations that are sophisticated and easy to use. import java.io.*; import java.util.*; class Wc { public static void main(String[] args) throws FileNotFoundException { Scanner sc = new Scanner(new File(args[0])); int lines = 0; int words = 0; int chars = 0;

The code in Listing 9-1 has two classes: StocksList: This class maintains the list of stock symbols that you will serve as XML. It handles the loading of the symbols and then the list of symbols. StocksListHandler: This class is a Mongrel handler. It processes requests from the ticker, and then serves them as XML. The ticker then uses those symbols. The code for the StocksList class has three methods. The first method, initialize, sets up the array holding the list of symbols:

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while (sc.hasNext()) { String ch = sc.nextLine(); lines++; chars += (ch.length() - 1); Scanner wds = new Scanner(ch); while (wds.hasNext()) { String discarded = wds.next(); words++; } } System.out.printf(" %d %d %d %s\n",lines,words,chars,args[0]); } } Not looked at with these examples are speed of execution and development, which are often insignificant when compared with ease of maintenance. Shorter, more modular code is easier to maintain and easier to extend in the future. If you want to change the program so that it also counts the number of lines containing a given expression, which do you think is easier to modify For me, the OCaml code is much more flexible in this regard (because of its use of ocamllex). The Java example is probably second on that list, with the C example coming in a distant third.

Traditional Internet applications followed the established client-server design pattern. A request was made to the server, where all of the page-logic processing took place, and the resultant data was merely passed back to the browser, where it was rendered and displayed to the user. It was nothing more than a generic request/response model. Unfortunately, this particular model forces all of the workload onto the server and very little processing occurs on the client. A Rich Internet Application expands upon the request/response model and seeks to move some of the processing out to those lazy browsers.

initialize is the constructor a special method called by Ruby when a class is instantiated into an object. The constructor has just a single line of code, which initializes your @symbols array.

In his famous (and near-mythic) paper, Why Functional Programming Matters, John Hughes noted the following: Since modularity is the key to successful programming, functional languages are vitally important to the real world. The modularity that functional languages are capable of is far greater than just collections of subroutines by which structured languages are characterized. Some people refer to bottomup versus top-down development. Functional languages are very much bottom-up languages. In a functional language, a function can be created, tested, and debugged independently of a larger program. That function can be used as a modular component in the composition of larger and more-complicated functions. These modular components can be built up from small parts, like bricks in a house, until the structure of the program is complete. Because these small components are easy to understand (at least they are easier to understand than the entire program), it is easier for a programmer to create and maintain them. Also, because only the inputs and outputs are important, they are much more useful for composing more-complicated functions. The underlying functions can be changed without disrupting the higher-level functions as long as the inputs and outputs are the same type. Hughes believed that the modularity provided by functional programming was so important that he wrote his entire paper based on that concept.

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