rekishi | Rekishi is a minimal pubsub wrapper for the history API | Runtime Evironment library

by robb0wen JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rekishi Summary

rekishi is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. rekishi has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Rekishi is a minimal wrapper for the History API that provides additional pub/sub functionality. I became frustrated that, whilst you can assign some state, the history API doesn't give access to any information about outgoing URLs. If you need to create dynamic transitions between different pages or different types of content, then Rekishi can help. Beyond watching for URL changes, Rekishi also allows you to associate data with incoming paths - that means that, for example, your front-end code can know ahead of time that /blog/finding-the-best-coffee-in-tokyo is a going to be a blog post.

Support

Quality

Security

License

Reuse

Support

rekishi has a low active ecosystem.

It has 18 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

rekishi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rekishi is current.

Quality

rekishi has 0 bugs and 0 code smells.

Security

rekishi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rekishi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rekishi is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rekishi releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed rekishi and discovered the below as its top functions. This is intended to give you an instant insight into rekishi implemented functionality, and help decide if they suit your requirements.

build
copy properties of one object
creates a new object
Get the own enumerable properties of an object
Object s prototype .
Destructure iterator .
wrap iterator over iterable
Simple helper function
dot = > undefined
Initialize this module

Get all kandi verified functions for this library.

rekishi Key Features

No Key Features are available at this moment for rekishi.

rekishi Examples and Code Snippets

No Code Snippets are available at this moment for rekishi.

Community Discussions

Trending Discussions on rekishi

mapply vs loop in R package

QUESTION

mapply vs loop in R package

Asked 2017-Oct-29 at 16:18

I've written a simple function that converts old Japanese text to modern form. I want to post as a package, but I'm trying to improve it in two ways. First, there is a small speed gain using mapply rather than a loop, but I can't get the results I want. Here's the working loop.

...

ANSWER

Answered 2017-Oct-29 at 16:18

The long lines will be something you have to explain to CRAN on submission so it's better to have them be hard-wrapped. Also, you don't need to build the data frame in the function if you're making a package. That's a needless bit of overhead. Penultimately, stringi::stri_replace_all_fixed() is vectorized over pattern and replacement parameters, so you get a C++-backed super-fast, encoding-friendly helper for what you're trying to do. Finally, normalize_kanji() is likely a much better name for the function to avoid naming collisions.

Also, you're going to get other CRAN check warnings, specifically:

Portable packages must use only ASCII characters in their R code, except perhaps in comments. Use \uxxxx escapes for other characters.

You'll either need to negotiate with CRAN on that, convert them to unicode escape sequences or store the data frame as an R data file.

You'll find all ^^ (apart from the fix for that CRAN check warning ;-) in https://github.com/histmr/Rekishi/pull/1 since the translation table is too large to put here.

Your former normalize() function is now:

Source https://stackoverflow.com/questions/47000723

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

Vulnerabilities

No vulnerabilities reported

Install rekishi

Npm is the preferred method. Open your project directory in your command line or terminal, then run:.

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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