open-index/open-npm huggingface dataset:
npm package: @oxheadalpha/get-tez
Description: Programmatic script to get Tezos from faucet
Author: Aryeh Harris
Latest version: 1.0.7

# get-tez

This zero dependency package provides a programmatic interface to interact with the [Tezos faucet](https://github.com/oxheadalpha/tezos-faucet-backend). It is a script that can be run from a JavaScript/Typescript program or directly from a shell. Your NodeJS version should support the [`fetch`](https://nodejs.org/dist/latest-v18.x/docs/api/globals.html#fetch) api.

## Installation

You can install the package from npm:

```bash
npm install @oxheadalpha/get-tez
```

## Usage

### JS / TS

After installing the package, you can import it in your Node.js JavaScript or TypeScript project:

```javascript
const getTez = require("@oxheadalpha/get-tez")

// OR

import getTez from "@oxheadalpha/get-tez"
```

You can then use the `getTez` function to interact with the Tezos faucet. The function takes an object as an argument, with the following properties:

- `address`: The address to send Tez to. This can be a raw Tezos public key hash or a local address's alias.
- `amount`: The amount of Tez to request.
- `network`: The faucet's network name. Must match a network name with a faucet listed at https://teztnets.xyz. Ignored if `faucetUrl` is set.
- `faucetUrl`: The custom faucet URL. Ignores `network`.
- `clientDir`: (Optional) Specifies a custom client directory path to look up an address alias. If not set, it will default to `$HOME/.tezos-client/` or `$TEZOS_CLIENT_DIR` if the `TEZOS_CLIENT_DIR` environment variable is set.

Here is an example of how to use the `getTez` function:

```javascript
const txHash = await getTez({
  address: "tz1...",
  amount: 10,
  network: "ghostnet",
})
// txHash: ooaEskbj...
```

Using an address alias:

```javascript
const txHash = await getTez({
  address: "alice",
  amount: 10,
  network: "ghostnet",
})
// txHash: ooaEskbj...
```

Example using the `faucetUrl` parameter:

```js
const txHash = await getTez({
  address: "tz1...",
  amount: 10,
  faucetUrl: "https://my-custom-faucet-url.com",
})
// txHash: ooaEskbj...
```

### CLI

You can also run `get-tez` directly from the command line with `npx`:

```bash
npx @oxheadalpha/get-tez tz1... --amount 10 --network ghostnet
```

Run the script with the `--help` flag for more information.
npm package: @oxi-dev0/sentiment-js
Description: Multilanguage and emojis AFINN-based sentiment analysis for Node.js
Author: oxi-dev0
Latest version: 0.0.9

# sentiment-js
### Text and emojis sentiment analysis for Node.js

Sentiment is a Node.js module that uses the [AFINN-111](http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010) wordlist to perform [sentiment analysis](http://en.wikipedia.org/wiki/Sentiment_analysis) on arbitrary blocks of input text.

Multilanguage, only full support for english and french (PR contributions are welcome)

It has full support on emoji analysis.

Language detection if not provided at call.

Sentiment analysis is suitable at a sentence level, for long strings, please tokenize sentences and use sentiment on every chunk.

This project is a fork of nicolasbonnici's fork of the original sentiment project: https://github.com/nicolasbonnici/sentiment

# Usage

## Installation
`npm install @oxi-dev0/sentiment-js --save`


```javascript
// Require the node-sentiment module
var sentiment = require('@oxi-dev0/sentiment-js');

// Use the module to get sentiment from texts.

// Vote: 'negative'
console.dir(sentiment('Cats are stupid.','en'));

// Vote: 'negative' and english detected
console.dir(sentiment('Cats are stupid.'));

// Vote: 'positive', english detected and negation detected
console.dir(sentiment('Cats are not so stupid.'));

// Vote: 'positive'
console.dir(sentiment('Cats are totally amazing! ♥','en'));

// Vote: 'negative'
console.dir(sentiment('I gatti sono stupidi. 😭','it'));

// Sample response for "Seems somebody had a good meal! @wildelifeanimal #lion #safari #cats #wildlife #Africa #adventure #offroad https://t.co/6cX7hAlrYY ♥"
{
  score: 8,
  comparative: 0.5,
  vote: 'positive',
  tokens:
   [ 'seems',
     'somebody',
     'had',
     'a',
     'good',
     'meal',
     '@wildelifeanimal',
     'lion',
     'safari',
     'cats',
     'wildlife',
     'africa',
     'adventure',
     'offroad',
     'httpstco6cx7halryy',
     '♥' ],
  words: [ '♥', 'adventure', 'good' ],
  positive: [ '♥', 'adventure', 'good' ],
  negative: [],
  language: 'en'
}
```

You can also play with node-sentiment in a terminal.
```bash
node cli.js "Cats are not so cool..."
```

# Test
```bash
npm test
```

# Changelog
npm package: @oxidation-compiler/napi
Description: The JavaScript Oxidation Compiler Node API
Author: Boshen and oxc contributors
Latest version: 0.2.0

# The JavaScript Oxidation Compiler

See index.d.ts for `parseSync` and `parseAsync` API.

TypeScript typings for the AST is currently work in progress.

## cjs

```javascript
const oxc = require("@oxidation-compiler/napi");
const assert = require('assert');

function test(ret) {
  assert(ret.program.body.length == 1);
  assert(ret.errors.length == 0);
}

test(oxc.parseSync("foo"));

async function main() {
  test(await oxc.parseAsync("foo"));
}

main()
```

## ESM

```javascript
import oxc from '@oxidation-compiler/napi';
import assert from 'assert';

function test(ret) {
  assert(ret.program.body.length == 1);
  assert(ret.errors.length == 0);
}

test(oxc.parseSync("foo"));

async function main() {
  test(await oxc.parseAsync("foo"));
}

main()
```
npm package: @oxideorcoal/front-end-boilerplate
Description: Boilerplate for a Webpack/SCSS powered front-end
Author: Alex Odorico
Latest version: 0.1.7

# Front-End Boilerplate

CLI to generate boilerplate code for a Webpack/SCSS powered front-end

## Installation
`npm install -g @oxideorcoal/front-end-boilerplate`

or

`npx @oxidecoal/front-end-boilerplate your-project`

## Usage
1. `front-end-boilerplate your-project` to create a new "your-project" directory.
2. `cd your-project`
3. `npm install`