rust-boomphf | scalable minimal perfect hashing for massive key sets | Hashing library

 by   10XGenomics Rust Version: Current License: MIT

kandi X-RAY | rust-boomphf Summary

kandi X-RAY | rust-boomphf Summary

rust-boomphf is a Rust library typically used in Security, Hashing, Example Codes applications. rust-boomphf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Fast and scalable minimal perfect hashing for massive key sets
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            kandi-support Support

              rust-boomphf has a low active ecosystem.
              It has 67 star(s) with 13 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 4 have been closed. On average issues are closed in 13 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rust-boomphf is current.

            kandi-Quality Quality

              rust-boomphf has no bugs reported.

            kandi-Security Security

              rust-boomphf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              rust-boomphf 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

              rust-boomphf releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            rust-boomphf Key Features

            No Key Features are available at this moment for rust-boomphf.

            rust-boomphf Examples and Code Snippets

            No Code Snippets are available at this moment for rust-boomphf.

            Community Discussions

            QUESTION

            How can a function conditionally fall back to a trait if another trait is implemented or not?
            Asked 2018-Jul-09 at 02:43

            I am building up a library for generating the minimum perfect hash from a set of keys. The idea is to index the keys online without storing the full dataset in memory. Based on a user requirement, it is possible that skip_next() is not available and I want to fall back to using next(). Although it might be slower based on the speed of the iterator, it simplifies things for a general user.

            My idea is to selectively iterate over all the elements generated by an iterator. This code works fine, but it requires a user to implement the trait FastIteration:

            ...

            ANSWER

            Answered 2018-Jul-09 at 02:43

            You are looking for the unstable feature specialization:

            Source https://stackoverflow.com/questions/51235721

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

            Vulnerabilities

            No vulnerabilities reported

            Install rust-boomphf

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/10XGenomics/rust-boomphf.git

          • CLI

            gh repo clone 10XGenomics/rust-boomphf

          • sshUrl

            git@github.com:10XGenomics/rust-boomphf.git

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