open-index/open-npm huggingface dataset:
npm package: @mw_meta2d/svg
Description: parse svg string to le5le meta2d pens.
Author: alsmile123@qq.com
Latest version: 1.0.0

[English](./README.md) | 简体中文

# svg

将 svg 字符串转换成 le5le meta2d 可识别的 Pen[]

# 使用

# How to Contribute

If you have any comment or advice, please report your issue, or make any change as you wish and submit an PR.

alsmile123@qq.com

# License

© le5le.com
npm package: @mwah/mwah-culture-dashboard-graphs
Description: This library was generated with [Angular CLI](https://github.com/angular/angular-cli) version 9.1.12.
Latest version: 0.0.3

# MwahCultureDashboardGraphs

This library was generated with [Angular CLI](https://github.com/angular/angular-cli) version 9.1.12.

## Code scaffolding

Run `ng generate component component-name --project mwah-culture-dashboard-graphs` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module --project mwah-culture-dashboard-graphs`.
> Note: Don't forget to add `--project mwah-culture-dashboard-graphs` or else it will be added to the default project in your `angular.json` file. 

## Build

Run `ng build mwah-culture-dashboard-graphs` to build the project. The build artifacts will be stored in the `dist/` directory.

## Publishing

After building your library with `ng build mwah-culture-dashboard-graphs`, go to the dist folder `cd dist/mwah-culture-dashboard-graphs` and run `npm publish`.

## Running unit tests

Run `ng test mwah-culture-dashboard-graphs` to execute the unit tests via [Karma](https://karma-runner.github.io).

## Further help

To get more help on the Angular CLI use `ng help` or go check out the [Angular CLI README](https://github.com/angular/angular-cli/blob/master/README.md).