{
  "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"
  }
}