{
  "name": "pray-calc-ml",
  "version": "1.0.0",
  "description": "Machine learning calibration for Islamic prayer times. Fits optimal Fajr/Isha depression angles to observed mosque announcements using weighted least-squares regression. Zero runtime dependencies.",
  "author": "Aric Camarata",
  "license": "MIT",
  "main": "./dist/index.cjs",
  "module": "./dist/index.mjs",
  "types": "./dist/index.d.ts",
  "exports": {
    ".": {
      "import": {
        "types": "./dist/index.d.mts",
        "default": "./dist/index.mjs"
      },
      "require": {
        "types": "./dist/index.d.ts",
        "default": "./dist/index.cjs"
      }
    }
  },
  "sideEffects": false,
  "files": [
    "dist/",
    "src/",
    "README.md",
    "CHANGELOG.md",
    "LICENSE"
  ],
  "scripts": {
    "build": "tsup",
    "typecheck": "tsc --noEmit",
    "pretest": "tsup",
    "test": "node test.mjs && node test-cjs.cjs",
    "prepublishOnly": "tsup"
  },
  "keywords": [
    "prayer-times",
    "islamic-prayer-times",
    "fajr",
    "isha",
    "depression-angle",
    "calibration",
    "machine-learning",
    "least-squares",
    "regression",
    "mosque",
    "adhan",
    "pray-calc",
    "twilight",
    "islamic-astronomy"
  ],
  "devDependencies": {
    "@types/node": "^22.0.0",
    "tsup": "^8.0.0",
    "typescript": "^5.0.0"
  },
  "peerDependencies": {
    "pray-calc": ">=2.0.0"
  },
  "peerDependenciesMeta": {
    "pray-calc": {
      "optional": false
    }
  },
  "engines": {
    "node": ">=20"
  },
  "publishConfig": {
    "access": "public",
    "registry": "https://registry.npmjs.org/"
  },
  "repository": {
    "type": "git",
    "url": "git+https://github.com/acamarata/pray-calc-ml.git"
  },
  "homepage": "https://github.com/acamarata/pray-calc-ml#readme",
  "bugs": {
    "url": "https://github.com/acamarata/pray-calc-ml/issues"
  }
}