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C++17 STL Cookbook

You're reading from   C++17 STL Cookbook Discover the latest enhancements to functional programming and lambda expressions

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787120495
Length 532 pages
Edition 1st Edition
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Author (1):
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Jacek Galowicz Jacek Galowicz
Author Profile Icon Jacek Galowicz
Jacek Galowicz
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Table of Contents (11) Chapters Close

Preface 1. The New C++17 Features FREE CHAPTER 2. STL Containers 3. Iterators 4. Lambda Expressions 5. STL Algorithm Basics 6. Advanced Use of STL Algorithms 7. Strings, Stream Classes, and Regular Expressions 8. Utility Classes 9. Parallelism and Concurrency 10. Filesystem

Adding polymorphy by wrapping lambdas into std::function


Let's say we want to write an observer function for some kind of value, which might change sometimes, which then notifies other objects; like a gas pressure indicator, or a stock price, or something similar. Whenever the value changes, a list of observer objects should be called, which then react their way.

In order to implement this, we could store a range of observer function objects in a vector, which all accept an int variable as the parameter, which represents the observed value. We do not know what these function objects do in particular when they are called with the new value, but we also don't care.

Of what type will that vector of function objects be? The std::vector<void (*)(int)> type would be correct if we were capturing pointers to functions with signatures such as void f(int);. This would indeed also work with any lambda expression that does not capture any variables, such as [](int x) {...}. But a lambda expression...

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