fix(python): default LidarData point_cloud/segmentation to lists#9808
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fix(python): default LidarData point_cloud/segmentation to lists#9808Bartok9 wants to merge 1 commit intomicrosoft:mainmicrosoft/AirSim:mainfrom Bartok9:aerial/python-lidar-data-list-defaults-20260723Bartok9/AirSim:aerial/python-lidar-data-list-defaults-20260723Copy head branch name to clipboard
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Match C++ LidarData (vector point_cloud + vector segmentation). Scalar defaults made len()/slice paths in sample lidar clients raise TypeError before any RPC payload was applied. Signed-off-by: Bartok9 <danielrpike9@gmail.com>
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Summary
LidarData.point_cloudandLidarData.segmentationto empty lists.vectorfields so sample clients canlen()/ slice before RPC fill.Motivation
C++ SoT (
CommonStructs.hpp/RpcLibAdaptorsBase::LidarData):vector<real_T> point_cloudvector<int> segmentationPython historically used
point_cloud = 0.0andsegmentation = 0. Public samples (drone_lidar.py,car_lidar.py, point-cloud scripts) calllen(lidarData.point_cloud)and walk XYZ triplets — scalar defaults raiseTypeErrorand mislead typed consumers. Same class of Python≠C++ default bug as BarometerData scalars.Hunk is confined to
LidarDataclass fields (orthogonal to open numpy2 ops / BarometerData / Magnetometer covariance on the same file).Verification
Did not change: Vector3r/Quaternionr ops, BarometerData, MagnetometerData, utils/pfm IO.
Notes
aerial-drone-pr-campaign/specs/airsim/2026-07-23-1.mdAgent-Owner:
sera· Platform: hermes · Claim-TTL: 24h