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Скачать или смотреть How to Reduce a List of Doubles to a String in Java and Kotlin

  • vlogize
  • 2025-09-23
  • 0
How to Reduce a List of Doubles to a String in Java and Kotlin
How to reduce the list of doubles to string?javakotlin
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Описание к видео How to Reduce a List of Doubles to a String in Java and Kotlin

Learn how to use functional programming techniques in Java and Kotlin to effectively reduce a list of coordinate values into a single concatenated string of coordinates.
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This video is based on the question https://stackoverflow.com/q/63518483/ asked by the user 'unknown_boundaries' ( https://stackoverflow.com/u/1881995/ ) and on the answer https://stackoverflow.com/a/63518737/ provided by the user 'Nicolas' ( https://stackoverflow.com/u/5288316/ ) 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: How to reduce the list of doubles to string?

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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.

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How to Reduce a List of Doubles to a String in Java and Kotlin

When working with data in Java or Kotlin, you might come across a situation where you need to transform a complex data structure into a simpler format. For example, you might want to reduce a list of lists containing Double values (representing coordinates) into a single String that concatenates these coordinates. This guide will walk you through this problem and provide a clear solution using functional programming techniques.

Understanding the Problem

Suppose you have a nested list structure representing a polygon defined by its vertices. Here’s an example of such a structure:

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

Your goal is to transform this structure into a single string that looks like this:

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

The Challenge with the Initial Approach

You might attempt to use the reduce function to accomplish this, as shown in the following Kotlin code:

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

However, this code won’t work as expected because the accumulator, acc, is of type List<Double> instead of String. This mismatch means that you're not effectively creating the concatenated string of coordinates.

The Solution: Using joinToString

To correctly generate a cohesive string from the coordinate list, you can utilize the joinToString function available in Kotlin. Here's how to implement it:

Step-by-Step Breakdown

Select the First List: Access the innermost list of the bounding polygon.

Use joinToString: This function allows you to concatenate the elements of the list with a specified delimiter.

Extract Coordinates with Destructuring: Use destructuring to retrieve the x and y values from the list of doubles.

Here’s the code that accomplishes this:

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

Explanation of the Code

boundingPolygon.first() accesses the first list of lists, which contains your coordinate pairs.

joinToString(", ") specifies that the elements will be separated by a comma and a space in the final string.

The lambda (x, y) -> "$x $y" takes each coordinate pair and formats them into the string representation by combining x and y.

Conclusion

Reducing a nested list of coordinates to a single string can be efficiently done using Kotlin's functional capabilities. By utilizing the joinToString method with destructuring, you can create a clean and readable output suitable for further processing or presentation.

This approach not only simplifies your code but also utilizes the power of functional programming for cleaner and more maintainable code. Whether you are new to Java or Kotlin, mastering such techniques will greatly enhance your programming skills and efficiency.

Additional Tips

If you are working with Java, similar functionality can be achieved using streams and collectors.

Always ensure that the structure of your data matches your processing expectations to avoid common pitfalls when working with functional programming.

With these strategies, transforming complex nested data structures into usable formats becomes a manageable task. Happy coding!

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