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Скачать или смотреть Transforming constexpr Arrays in C+ + : A Guide to Compile Time Array Initialization

  • vlogize
  • 2025-04-14
  • 0
Transforming constexpr Arrays in C+ + : A Guide to Compile Time Array Initialization
define an array based on constexpr array transformc++arraystransformconstexpr
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Описание к видео Transforming constexpr Arrays in C+ + : A Guide to Compile Time Array Initialization

Learn how to effectively define a new `constexpr` array by transforming an existing one using C+ + 20 features and lambda functions.
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This video is based on the question https://stackoverflow.com/q/68425972/ asked by the user 'fluter' ( https://stackoverflow.com/u/436559/ ) and on the answer https://stackoverflow.com/a/68425987/ provided by the user 'eerorika' ( https://stackoverflow.com/u/2079303/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: define an array based on constexpr array transform

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Transforming constexpr Arrays in C+ + : A Guide to Compile Time Array Initialization

When programming in C+ + , especially using the modern features introduced in C+ + 20, you might find yourself wanting to transform an array at compile time. One common problem developers encounter is how to define a new constexpr array based on transformations from an existing constexpr array. In this post, we'll explore how to effectively achieve this goal, dissecting the solution step by step.

The Problem Explained

Let’s assume you have a constexpr array of string views, like this:

[[See Video to Reveal this Text or Code Snippet]]

You want to create a new constexpr array that reflects the sizes of the strings contained in arr. However, when using std::transform in conjunction with arr, you may encounter compilation errors that can be frustrating, especially since C+ + 20 introduced a constexpr version of std::transform.

The error message you receive might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

This happens because std::transform tries to modify elements in an array that is marked as constexpr, meaning the data is read-only at compile time. So how can we work around this limitation?

The Solution: Using a Lambda Function

The key to resolving this issue is to write a function or lambda that constructs the required array. Instead of trying to transform the original array directly, we can create a temporary array within a constexpr lambda. Here’s how you can do it:

Step-by-Step Implementation

Define the Original Array: Start with your existing constexpr array as planned.

[[See Video to Reveal this Text or Code Snippet]]

Create a Lambda to Build the New Array: Create a lambda function that will perform the transformation.

[[See Video to Reveal this Text or Code Snippet]]

Initialize the New Array: Call the lambda to initialize your new constexpr array.

[[See Video to Reveal this Text or Code Snippet]]

Verify Using static_assert: You can now use arr2 as needed, and check values using static assertions.

[[See Video to Reveal this Text or Code Snippet]]

Summary of the Code Snippet

Here’s the complete approach brought together into a single snippet:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By utilizing a constexpr lambda function, you can successfully create a new constexpr array through transformations of an existing one. This approach avoids the pitfalls of direct assignment to read-only locations and makes your code not only more robust but also cleaner and more maintainable. If you're diving into advanced C+ + programming, mastering techniques like this can greatly expand your toolkit! Happy coding!

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