)]}'
{
  "id": "a1efdd0b211c45fd4e18d92963ff98cf817f808a",
  "entries": [
    {
      "mode": 33188,
      "type": "blob",
      "id": "9ad3fc43dcb3da216587d8c54ea251a968559691",
      "name": "benchmarking.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "0c7fd7c5f04137568ba765f16435259686daf671",
      "name": "ci.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "99e3edde59a9290d127cfe0d62743983398c35e9",
      "name": "conventions.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "e6299fd79c0ef0e388d874743d5810ff7ab70cda",
      "name": "numerics.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "fd32f5d3563c2fa0674cefa40220602a60594a64",
      "name": "simd-gpu.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "1f5aa0f6e47d378f7225e0b00154b9fb6aea96de",
      "name": "sparse.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "01d3a62381b6e1881f66f63f626fc08cc9a942f0",
      "name": "tensor-threadpool.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "18a283f9ff92b3979c0cb7cb1a40dbf98bbc4625",
      "name": "testing.md"
    }
  ]
}