FastNoiseLite | Fast Portable Noise Library - C # C++ C Java | Generator Utils library

 by   Auburn C# Version: v1.0.3 License: MIT

kandi X-RAY | FastNoiseLite Summary

kandi X-RAY | FastNoiseLite Summary

FastNoiseLite is a C# library typically used in Generator, Generator Utils applications. FastNoiseLite has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Fast Portable Noise Library - C# C++ C Java(Script) HLSL GLSL
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              FastNoiseLite has a medium active ecosystem.
              It has 2155 star(s) with 289 fork(s). There are 61 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 14 open issues and 65 have been closed. On average issues are closed in 41 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FastNoiseLite is v1.0.3

            kandi-Quality Quality

              FastNoiseLite has 0 bugs and 0 code smells.

            kandi-Security Security

              FastNoiseLite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              FastNoiseLite code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              FastNoiseLite is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              FastNoiseLite releases are available to install and integrate.
              It has 2020 lines of code, 75 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of FastNoiseLite
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            FastNoiseLite Key Features

            No Key Features are available at this moment for FastNoiseLite.

            FastNoiseLite Examples and Code Snippets

            No Code Snippets are available at this moment for FastNoiseLite.

            Community Discussions

            QUESTION

            Physics.Raycast not working with a Marching Cubes -generated mesh
            Asked 2022-Feb-09 at 13:07

            What it spits out

            My raycast spits out a position way off from what it's supposed to be. I'm trying to place objects procedurally on a procedural mesh. I've been scratching my head at this for a while. Please help. Sorry for the long script.

            The start of the code is just some declares and stuff. GenObjects is run once in FixedUpdate after Start has finished. I'm using a marching cubes library by Scrawk and a noise library by Auburn

            ...

            ANSWER

            Answered 2022-Feb-09 at 13:07

            Fixed! My mistake was really stupid. I wasn't assigning the welded mesh, leaving a filthy mesh with lots of empty verts floating about. The raycast was hitting them.

            The fixed lines for anyone who cares:

            Source https://stackoverflow.com/questions/71049018

            QUESTION

            How do I make FastNoise Lite work properly?
            Asked 2021-May-24 at 17:49

            I'm making a game that will use terrain generation, so I am using the C# version of the FastNoise Lite library. However, it doesn't seem to be working as I want it to.

            I have the following code which generates the TileMap:

            ...

            ANSWER

            Answered 2021-May-24 at 17:49

            All I needed to do was add a fractal type:

            Source https://stackoverflow.com/questions/67627955

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FastNoiseLite

            You can download it from GitHub.

            Support

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