nano-memoize | micro ... a nano speed | Runtime Evironment library

 by   anywhichway JavaScript Version: 3.0.16 License: MIT

kandi X-RAY | nano-memoize Summary

kandi X-RAY | nano-memoize Summary

nano-memoize is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. nano-memoize has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i @silverwind/nano-memoize' or download it from GitHub, npm.

The devs caiogondim and planttheidea have produced great memoizers. We analyzed their code to see if we could build something faster than fast-memoize and smaller than micro-memoize while adding back some of the functionality of moize removed in micro-memoize. We think we have done it ... but credit to them ... we just merged the best ideas in both and eliminated excess code. During development we also discovered that despite its popularity and goal to be the fastest possible memoizer, fast-memoize is actually one of the slowest out-of-the-box when it comes to multiple argument functions because it uses JSON.stringify to generate a single key generator for all arguments. It also only memoizes out to 3 arguments, which may cause issues. This is not to say it should not be used, it also seems to have the cleanest software architecture and it may be theoretically possible to write a high-speed multi-argument plugin. And, MANY people are very happy with it. Special appreciation to @titoBouzout and @popbee who spent a good bit of time reviewing code for optimization and making recommendations. See Issue 4 for the conversation. The minified/brotli size is 789 bytes for nano-memoize v1.2.0 vs 1,356 bytes for micro-memoize v4.08. And, nano-memoize has slightly more functionality. The speed tests are below. At the time of testing the most recent version of fast-memoize 2.5.1 was a year old. The most recent version of micro-memoize 4.0.8 was 3 months old. We have found that benchmarks can vary dramatically from O/S to O/S or Node version to Node version. These tests were run on a Windows 10 Pro 64bit 1.8ghz i7 machine with 16GB RAM and Node v12.7.0. Also, even with multiple samplings, garbage collection can have a substative impact and multiple runs in different orders are really required for apples-to-apples comparisons. Functions with a single primitive parameter... Functions with a single object parameter... Functions with multiple parameters that contain only primitives... Functions with multiple parameters that contain objects...
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            kandi-support Support

              nano-memoize has a low active ecosystem.
              It has 191 star(s) with 14 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 15 have been closed. On average issues are closed in 209 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nano-memoize is 3.0.16

            kandi-Quality Quality

              nano-memoize has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nano-memoize 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

              nano-memoize releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.
              nano-memoize saves you 8 person hours of effort in developing the same functionality from scratch.
              It has 24 lines of code, 0 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nano-memoize and discovered the below as its top functions. This is intended to give you an instant insight into nano-memoize implemented functionality, and help decide if they suit your requirements.
            • Serialize a function .
            • Check if the argument is v .
            • generate index function
            • Get custom options for custom options
            • Returns true if any objects are the same
            • Merge additional options with additional options .
            • Order in the given cache .
            • Create an update cache for the given options .
            • Create a memoized function .
            • Memoize function .
            Get all kandi verified functions for this library.

            nano-memoize Key Features

            No Key Features are available at this moment for nano-memoize.

            nano-memoize Examples and Code Snippets

            No Code Snippets are available at this moment for nano-memoize.

            Community Discussions

            Trending Discussions on nano-memoize

            QUESTION

            Import and use nano-memoize in react application?
            Asked 2019-Sep-03 at 07:37

            I am trying to use Nano-memoize in my React based web application which also uses Typescript and Webpack.

            I have followed the following steps:

            • npm install nano-memoize
            • added import * as nanomemoize from 'nano-memoize' to my source file.
            • memoized a function like const memoizedFunc = nanomemoize(myFunc)

            myFunc takes two arguments - a string and an string[].

            However, I don't see the memoization happening because the debug statements in myFunc are getting printed for same arguments.
            How should this be done the right way?

            ...

            ANSWER

            Answered 2019-Sep-03 at 07:37

            Nano-memoize doesn't do deep equals comparison of arguments. The string[] arguments passed in to myFunct is different object each time and consequently memoization doesn't work.

            To fix this I am forced to use lodast.isquals as an option in nano-memoize

            Source https://stackoverflow.com/questions/57748446

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

            Vulnerabilities

            No vulnerabilities reported

            Install nano-memoize

            You can install using 'npm i @silverwind/nano-memoize' or download it from GitHub, npm.

            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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            Install
          • npm

            npm i nano-memoize

          • CLONE
          • HTTPS

            https://github.com/anywhichway/nano-memoize.git

          • CLI

            gh repo clone anywhichway/nano-memoize

          • sshUrl

            git@github.com:anywhichway/nano-memoize.git

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