{
  "provenance": {
    "source_commit": "7f31335c2ca265a46cd8b02110ad5b8b4e0ac7bb",
    "generator": "diagnostic-launcher.py.txt",
    "source_sha256": {
      "src/calibrex/data/adaptive_voxel.py": "c676a4593cddd2f4c827d6e60534333764bf596fa409968cb9a8f170a1d17b87",
      "src/calibrex/data/odometry_track.py": "1569e661470e902f2f08dde1bf2d0c41cc6540a24f59d9ee961e066d36653c91",
      "src/calibrex/graph/lidar_point_to_plane.py": "1cf91c6c9ef2aedf7ccbfa33835d592ee80c1ed6cb8f75736b345be984e968c1",
      "src/calibrex/solvers/continuous_time_lidar_pair_solver.py": "ad01fe395c5e3f9f71ad40d91d5562982b51d9ae2f585fe7ba826f69f0f563b6",
      "src/calibrex/solvers/numba_continuous_time_adapter.py": "50adbf844647efc67cfe63b078a2440d40838baea0374275a3ade11370242966",
      "src/calibrex/solvers/fixed_trajectory_se3_solver.py": "f581fbb7e27509c9062f010878ff17efbece50c4fdb8c0b18a165898eb7706be",
      "src/calibrex/solvers/robust_lidar_observations.py": "ff398d558ec6f35eec497d6cdec80286b43ff4fd27a1e3b6a224d8e54098e240",
      "src/calibrex/evaluation/lidar.py": "2e4c7dda7f81eaa343096ccce57e1f160bc4418d395facfafc4bcbed4ffb16df",
      "src/calibrex/evaluation/packed_lidar_observations.py": "822720ec7ae4e6b2112e6aa2c4d81136ce4fdba237526292641b93da0300e453",
      "src/calibrex/data/livox.py": "0773a7e2fccb2d2faa23f9e90636a00355499af131ad671845edb2c8d33b1bfd",
      "src/calibrex/pipelines/online.py": "69634642df94c09a16cc0bf82a2557559c030c81fe1446764a49e7b1084f6e64",
      "src/calibrex/core/continuous_time_lidar_artifacts.py": "96c051290b6b4f82f81fcc108b6ea4525b1497af064a3dedb8196e7dedd9d874",
      "src/calibrex/core/continuous_time_lidar_train_diagnostics.py": "f86b7e9d569b4ef61d85834df790207dbe2f424af17ec0f5df16b9f2aef6fcac",
      "src/calibrex/core/provenance.py": "eb7849f342892272ae136454da816852d080684b25c8ec55771582c1b8621f47",
      "tools/rosbag1_to_rosbag2_online_pair.py": "9da3e080b62933d4d75f92c08bba91929fea401d99650e55f78bd3cdabfcc680",
      "tools/lidar_scan_deskew.py": "e36a870323f76256fb5b3f8b8364cb2edb4c06483b3ea0fe8a99bf2faa6f1ce0",
      "tools/benchmark_adaptive_plane_search.py": "20f2064c4f3548f556498652c22831bbc4d5ce02337821fc877cf722600598b3",
      "examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml": "c6d93361d1628493be20a64d585394b2e437bffcbd548340a541cc12b1c602b3",
      "diagnostic-launcher.py.txt": "647a074eddbcc7026b7b43c56c44d8eb92976854c4936b7c0972c6d8edfb7824"
    },
    "input_sha256": {
      "data/public/glim_versatile/livox.bag": "f57a2e85339316d4235ab693ab2876aac5e113625c7f8b0f7873b62f92e09643",
      "data/public/glim_versatile/gt.tar.gz": "4bfd871527d00065898153e77a6764ac331421aca16ff88bde778994f70f5bc9",
      "data/public/glim_versatile/gt/livox.txt": "bcc75ff7985f2e140e514c69f029153e0127a33ee7abc1b757e077386f5059ad",
      "data/public/glim_versatile/livox_rosbag2_gt_restamped/livox_rosbag2_gt_restamped.db3": "8d28f0a8ddda13b880e4648e9d687d4a566d40f70b87547f8798fe8a18cfde9e",
      "data/public/glim_versatile/livox_rosbag2_gt_restamped/metadata.yaml": "7542a3e1689e2007e9c15b8d163cddcbca4d87232dd92b7ecff48ba1e0f6645f",
      "data/public/glim_versatile/conversion-provenance.json": "7f51da99c1bdc0b2768229e6ff22809d5d0bb22e02dcc62dce2c3ce0dac2da56"
    },
    "measurement_sha256": "4c6fc7bdf6bb46dbc21dde03a30665b1dddf4e54eac203b538fd14c054f8c958"
  },
  "counts": {
    "successful_packed_batches": 52,
    "packed_input_rows": 1248000,
    "packed_correspondences": 1027299,
    "fallback_batches": 0,
    "materialized_batches": 1,
    "materialized_rows": 29181,
    "profile_tasks": 24,
    "profile_workers": 3
  },
  "source_input_guards_passed": true,
  "limitations": [
    "Instrumented diagnostic only; not pooled with formal timing trials."
  ]
}
