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  • Book Overview & Buying Mastering the C++17 STL
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Mastering the C++17 STL

Mastering the C++17 STL

By : Arthur O'Dwyer
4.5 (11)
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Mastering the C++17 STL

Mastering the C++17 STL

4.5 (11)
By: Arthur O'Dwyer

Overview of this book

Modern C++ has come a long way since 2011. The latest update, C++17, has just been ratified and several implementations are on the way. This book is your guide to the C++ standard library, including the very latest C++17 features. The book starts by exploring the C++ Standard Template Library in depth. You will learn the key differences between classical polymorphism and generic programming, the foundation of the STL. You will also learn how to use the various algorithms and containers in the STL to suit your programming needs. The next module delves into the tools of modern C++. Here you will learn about algebraic types such as std::optional, vocabulary types such as std::function, smart pointers, and synchronization primitives such as std::atomic and std::mutex. In the final module, you will learn about C++'s support for regular expressions and file I/O. By the end of the book you will be proficient in using the C++17 standard library to implement real programs, and you'll have gained a solid understanding of the library's own internals.
Table of Contents (13 chapters)
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Classically polymorphic functions

We can increase the abstraction level of our algorithms via the techniques of classical object-oriented (OO) programming, as seen in languages such as Java and C#. The OO approach is to decide exactly which behaviors we'd like to be customizable, and then declare them as the public virtual member functions of an abstract base class:

    class container_of_ints {
public:
virtual int size() const = 0;
virtual int& at(int) = 0;
};

class array_of_ints : public container_of_ints {
int data[10] = {};
public:
int size() const override { return 10; }
int& at(int i) override { return data[i]; }
};

class list_of_ints : public container_of_ints {
struct node {
int data;
node *next;
};
node *head_ = nullptr;
int size_ = 0;
public:
int size() const override { return size_; }
int& at(int i) override {
if (i >= size_) throw std::out_of_range("at");
node *p = head_;
for (int j=0; j < i; ++j) {
p = p->next;
}
return p->data;
}
~list_of_ints();
};

void double_each_element(container_of_ints& arr)
{
for (int i=0; i < arr.size(); ++i) {
arr.at(i) *= 2;
}
}

void test()
{
array_of_ints arr;
double_each_element(arr);

list_of_ints lst;
double_each_element(lst);
}

Inside test, the two different calls to double_each_element compile because in classical OO terminology, an array_of_ints IS-A container_of_ints (that is, it inherits from container_of_ints and implements the relevant virtual member functions), and a list_of_ints IS-A container_of_ints as well. However, the behavior of any given container_of_ints object is parameterized by its dynamic type; that is, by the table of function pointers associated with this particular object.

Since we can now parameterize the behavior of the double_each_element function without editing its source code directly--simply by passing in objects of different dynamic types--we say that the function has become polymorphic.

But still, this polymorphic function can handle only those types which are descendants of the base class container_of_ints. For example, you couldn't pass a std::vector<int> to this function; you'd get a compile error if you tried. Classical polymorphism is useful, but it does not get us all the way to full genericity.

An advantage of classical (object-oriented) polymorphism is that the source code still bears a one-to-one correspondence with the machine code that is generated by the compiler. At the machine-code level, we still have just one double_each_element function, with one signature and one well-defined entry point. For example, we can take the address of double_each_element as a function pointer.

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