{
  "name": "@ruvector/attention",
  "version": "0.1.32",
  "description": "High-performance attention mechanisms with 7 mathematical theories: Optimal Transport, Mixed Curvature, Topology, Information Geometry, Information Bottleneck, PDE/Diffusion, Unified Diagnostics",
  "main": "index.js",
  "types": "index.d.ts",
  "license": "MIT",
  "repository": "https://github.com/ruvnet/ruvector",
  "keywords": ["attention", "transformer", "machine-learning", "optimal-transport", "hyperbolic", "topology"],
  "optionalDependencies": {
    "@ruvector/attention-linux-x64-gnu": "0.1.32",
    "@ruvector/attention-linux-arm64-gnu": "0.1.32",
    "@ruvector/attention-darwin-x64": "0.1.32",
    "@ruvector/attention-darwin-arm64": "0.1.32",
    "@ruvector/attention-win32-x64-msvc": "0.1.32"
  }
}