Security News
The Push to Ban Ransom Payments Is Gaining Momentum
Ransomware costs victims an estimated $30 billion per year and has gotten so out of control that global support for banning payments is gaining momentum.
@vscode/vscode-languagedetection
Advanced tools
Readme
An npm package that uses machine learning to detect source code languages. Powered by @yoeo's guesslang model!
Usage:
First install it in your project:
npm install --save @vscode/vscode-languagedetection
# or using yarn
yarn add @vscode/vscode-languagedetection
Then instantiate a ModuleOperations and pass it in the model.json
and weights
file content:
NOTE: This is only for VS Code. In the future, you shouldn't have to do this.
import { ModelJSON, ModelOperations } from "@vscode/vscode-languagedetection";
const modulOperations = new ModelOperations(async () => {
return JSON.parse(readFileSync(join(__dirname, '..', '..', 'model', 'model.json')).toString()) as ModelJSON;
}, async () => {
return readFileSync(join(__dirname, '..', '..', 'model', 'group1-shard1of1.bin')).buffer;
});
const result = await modulOperations.runModel(`
function makeThing(): Thing {
let size = 0;
return {
get size(): number {
return size;
},
set size(value: string | number | boolean) {
let num = Number(value);
// Don't allow NaN and stuff.
if (!Number.isFinite(num)) {
size = 0;
return;
}
size = num;
},
};
}
`);
which will give you the following in order of confidence:
[
{ languageId: 'ts', confidence: 0.48307517170906067 },
{ languageId: 'rs', confidence: 0.10045434534549713 },
{ languageId: 'js', confidence: 0.07833506911993027 },
{ languageId: 'c', confidence: 0.045049071311950684 },
{ languageId: 'lua', confidence: 0.044198162853717804 },
{ languageId: 'cpp', confidence: 0.03847603127360344 },
{ languageId: 'cs', confidence: 0.03298814222216606 },
{ languageId: 'mm', confidence: 0.02999635599553585 },
{ languageId: 'html', confidence: 0.01874217577278614 },
{ languageId: 'sql', confidence: 0.01811739057302475 },
{ languageId: 'swift', confidence: 0.01418407540768385 },
{ languageId: 'pl', confidence: 0.014126052148640156 },
{ languageId: 'md', confidence: 0.01112559624016285 },
{ languageId: 'java', confidence: 0.009976979345083237 },
{ languageId: 'ps1', confidence: 0.009242385625839233 },
{ languageId: 'php', confidence: 0.008150739595293999 },
{ languageId: 'go', confidence: 0.0069260732270777225 },
{ languageId: 'tex', confidence: 0.006594990845769644 },
{ languageId: 'scala', confidence: 0.00619362760335207 },
{ languageId: 'py', confidence: 0.004240741487592459 },
{ languageId: 'r', confidence: 0.0033439004328101873 },
{ languageId: 'matlab', confidence: 0.0030552551615983248 },
{ languageId: 'css', confidence: 0.0026798006147146225 },
{ languageId: 'sh', confidence: 0.0023688252549618483 },
{ languageId: 'ipynb', confidence: 0.002114647999405861 },
{ languageId: 'bat', confidence: 0.0018151027616113424 },
{ languageId: 'hs', confidence: 0.001677449094131589 },
{ languageId: 'erl', confidence: 0.0014191442169249058 },
{ languageId: 'coffee', confidence: 0.000696933304425329 },
{ languageId: 'rb', confidence: 0.0006357143283821642 }
]
To build from source, follow these steps:
npm install
npm run watch
To run the tests, simply run npm test
.
To build a production package:
npm run build
npm pack
To publish this package, run npm publish
.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
FAQs
An npm package that uses guesslang's ML model to detect source code languages
We found that @vscode/vscode-languagedetection demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 7 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Ransomware costs victims an estimated $30 billion per year and has gotten so out of control that global support for banning payments is gaining momentum.
Application Security
New SEC disclosure rules aim to enforce timely cyber incident reporting, but fear of job loss and inadequate resources lead to significant underreporting.
Security News
The Python Software Foundation has secured a 5-year sponsorship from Fastly that supports PSF's activities and events, most notably the security and reliability of the Python Package Index (PyPI).