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package.json
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59 lines (59 loc) · 1.55 KB
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{
"name": "ml-distance-euclidean",
"version": "3.0.1",
"description": "Compute the euclidean distance between two vectors",
"type": "module",
"exports": {
".": "./lib/index.js"
},
"files": [
"src",
"lib"
],
"scripts": {
"check-types": "tsc --noEmit",
"clean": "rimraf lib",
"eslint": "eslint src",
"eslint-fix": "npm run eslint -- --fix",
"prepack": "npm run tsc",
"prettier": "prettier --check src",
"prettier-write": "prettier --write src",
"test": "npm run test-only && npm run eslint && npm run prettier && npm run check-types && npm run verify-build",
"test-only": "vitest run --coverage",
"tsc": "npm run clean && npm run tsc-build",
"tsc-build": "tsc --project tsconfig.build.json",
"verify-build": "npm run tsc && node lib/index.js"
},
"repository": {
"type": "git",
"url": "git+https://github.com/mljs/distance-euclidean.git"
},
"keywords": [
"euclidean",
"squared",
"distance",
"metric",
"vector",
"data",
"mining",
"datamining",
"machine",
"learning"
],
"author": "Michaël Zasso",
"license": "MIT",
"bugs": {
"url": "https://github.com/mljs/distance-euclidean/issues"
},
"homepage": "https://github.com/mljs/distance-euclidean#readme",
"devDependencies": {
"@types/node": "^24.10.1",
"@vitest/coverage-v8": "^4.0.8",
"@zakodium/tsconfig": "^1.0.2",
"eslint-config-cheminfo-typescript": "^21.0.1",
"prettier": "^3.6.2",
"rimraf": "^6.1.0",
"typescript": "^5.9.3",
"vitest": "^4.0.8"
}
}