diskann-benchmark 0.51.0

DiskANN is a fast approximate nearest neighbor search library for high dimensional data
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{
  "search_directories": [
    "test_data/disk_index_search"
  ],
  "jobs": [
    {
      "type": "graph-index-build",
      "content": {
        "source": {
          "index-source": "Build",
          "data_type": "float32",
          "data": "disk_index_siftsmall_learn_256pts_data.fbin",
          "distance": "squared_l2",
          "start_point_strategy": "medoid",
          "max_degree": 32,
          "l_build": 50,
          "alpha": 1.2,
          "backedge_ratio": 1.0,
          "num_threads": 1
        },
        "search_phase": { 
          "search-type": "range",
          "queries": "disk_index_sample_query_10pts.fbin",
          "groundtruth": "disk_index_10pts_idx_uint32_range_res_r_100000.bin",
          "reps": 5,
          "num_threads": [
            1
          ],
          "runs": [
            {
              "radius": 100000.0,
              "initial_search_l": [
                1,
                5,
                10              
              ],
              "initial_search_slack": 1.0,
              "range_search_slack": 1.0
            }
          ]
        }
      }
    }
  ]
}