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,
            "num_start_points": 1,
            "num_insert_attempts": 1,
            "saturate_inserts": false
          },
          "search_phase": {
            "search-type": "topk-beta-filter",
            "queries": "disk_index_sample_query_10pts.fbin",
            "groundtruth": "gt_small_filter.bin",
            "beta": 0.5,
            "query_predicates": "query.10.label.jsonl",
            "data_labels": "data.256.label.jsonl",
            "reps": 5,
            "num_threads": [
              1
            ],
            "runs": [
              {
                "search_n": 20,
                "search_l": [
                  20,
                  30,
                  40,
                  50,
                  100,
                  200
                ],
                "recall_k": 10
              }
            ]
          }
        }
      }
    ]
  }