Читаем Thinking In C++. Volume 2: Practical Programming полностью

4.              Change InnerClassIdiom.cpp so that Outer uses multiple inheritance instead of the inner class idiom.

5.Explain how AbstractFactory.cpp demonstrates Double Dispatching and the Factory Method.

6.Modify ShapeFactory2.cpp so that it uses an Abstract Factory to create different sets of shapes (for example, one particular type of factory object creates "thick shapes," another creates "thin shapes," but each factory object can create all the shapes: circles, squares, triangles, and so on).

7.Create a business-modeling environment with three types of Inhabitant: Dwarf (for engineers), Elf (for marketers), and Troll (for managers). Now create a class called Project that creates the different inhabitants and causes them to interact( ) with each other using multiple dispatching.

8.Modify the example in exercise 7 to make the interactions more detailed. Each Inhabitant can randomly produce a Weapon using getWeapon( ): a Dwarf uses Jargon or Play, an Elf uses InventFeature or SellImaginaryProduct, and a Troll uses Edict and Schedule. You decide which weapons "win" and "lose" in each interaction (as in PaperScissorsRock.cpp). Add a battle( ) member function to Project that takes two Inhabitants and matches them against each other. Now create a meeting( ) member function for Project that creates groups of Dwarf, Elf, and Manager and battles the groups against each other until only members of one group are left standing. These are the "winners."

11: Concurrency

Objects provide a way to divide a program into independent sections. Often, you also need to partition a program into separate, independently running subtasks.

Using multithreading, each of these independent subtasks is driven by a thread of execution, and you program as if each thread runs by itself and has the CPU to itself. An underlying mechanism is actually dividing up the CPU time for you, but in general, you don’t have to think about it, which helps to simplify programming with multiple threads.

A process is a self-contained program running with its own address space. A multitasking operating system can run more than one process (program) at a time, while making it look as if each one is chugging along on its own, by periodically switching the CPU from one task to another. A thread is a single sequential flow of control within a process. A single process can thus have multiple concurrently executing threads.

There are many possible uses for multithreading, but you’ll most often want to use it when you have some part of your program tied to a particular event or resource. To keep from holding up the rest of your program, you create a thread associated with that event or resource and let it run independently of the main program.

Concurrent programming is like stepping into an entirely new world and learning a new programming language, or at least a new set of language concepts. With the appearance of thread support in most microcomputer operating systems, extensions for threads have also been appearing in programming languages or libraries. In all cases, thread programming:

1.       Seems mysterious and requires a shift in the way you think about programming.

2.      Looks similar to thread support in other languages. When you understand threads, you understand a common tongue.

Understanding concurrent programming is on the same order of difficulty as understanding polymorphism. If you apply some effort, you can fathom the basic mechanism, but it generally takes deep study and understanding to develop a true grasp of the subject. The goal of this chapter is to give you a solid foundation in the basics of concurrency so that you can understand the concepts and write reasonable multithreaded programs. Be aware that you can easily become overconfident. If you are writing anything complex, you will need to study dedicated books on the topic.

Motivation

One of the most compelling reasons for using concurrency is to produce a responsive user interface. Consider a program that performs some CPU-intensive operation and thus ends up ignoring user input and being unresponsive. The program needs to continue performing its operations, and at the same time it needs to return control to the user interface so that the program can respond to the user. If you have a "quit" button, you don’t want to be forced to poll it in every piece of code you write in your program. (This would couple your quit button across the program and be a maintenance headache.) Yet you want the quit button to be responsive, as if you were checking it regularly.

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