feat: migrate runtime data assets to Hugging Face by TomCC7 · Pull Request #3156 · dimensionalOS/dimos

TomCC7 · 2026-07-23T19:36:45Z

Summary

replace the custom top-level private Git LFS runtime with a pinned public Hugging Face dataset revision while preserving get_data() and LfsPath
download and safely materialize one validated archive per immutable top-level data asset with process-safe locking and local-first behavior
remove the obsolete runtime LFS scripts, hooks, and 110 archive pointers while retaining documentation/media Git LFS
update recording writers, scene cooking, GraspGen setup, dependencies, tests, terminology, and data-loading documentation

Dataset: https://huggingface.co/datasets/playercc7/dimensional
Pinned revision: f262d7f8775c2d507b1bfde62a5aa21cffabb3a1

Verification

uv run pytest dimos/utils/test_data.py dimos/utils/testing/test_legacy.py dimos/experimental/scene_cooking/test_cooking.py -m "not self_hosted" — 61 passed, 2 deselected
live anonymous pinned-Hub integration test passed using occupancy_simple.npy.tar.gz
uv run ruff check and uv run ruff format --check passed for changed Python files
uv lock --check passed
bash -n dimos/manipulation/grasping/docker_context/build.sh passed
git diff --check origin/main...HEAD passed
manually replayed go2_bigoffice with unitree-go2-memory successfully

Notes

existing local top-level assets remain authoritative and are never replaced
documentation/media Git LFS remains intentionally unchanged in scope
the public dataset was verified anonymously at the pinned revision: 110 archives totaling 34,635,236,624 bytes

mintlify · 2026-07-23T19:38:03Z

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Project	Status	Preview	Updated (UTC)
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codecov · 2026-07-23T19:44:42Z

❌ 18 Tests Failed:

Tests completed	Failed	Passed	Skipped
3428	18	3410	74

View the top 3 failed test(s) by shortest run time

dimos.mapping.osm.test_osm::test_pixel_to_latlon

Stack Traces | 0.053s run time

mock_openstreetmap_org = None

    def test_pixel_to_latlon(mock_openstreetmap_org: None) -> None:
        position = LatLon(lat=37.751857, lon=-122.431265)
>       map_image = get_osm_map(position, 18, 4)

mock_openstreetmap_org = None
position   = LatLon(lat=37.751857, lon=-122.431265, alt=None)

.../mapping/osm/test_osm.py:61: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

position = LatLon(lat=37.751857, lon=-122.431265, alt=None), zoom_level = 18
n_tiles = 4

    def get_osm_map(position: LatLon, zoom_level: int = 18, n_tiles: int = 4) -> MapImage:
        """
        Tiles are always 256x256 pixels. With n_tiles=4, this should produce a 1024x1024 image.
        Downloads tiles in parallel with a maximum of 5 concurrent downloads.
    
        Args:
            position (LatLon): center position
            zoom_level (int, optional): Defaults to 18.
            n_tiles (int, optional): generate a map of n_tiles by n_tiles.
        """
        center_x, center_y = _lat_lon_to_tile(position.lat, position.lon, zoom_level)
    
        start_x = int(center_x - n_tiles / 2.0)
        start_y = int(center_y - n_tiles / 2.0)
    
        tile_size = 256
        output_size = tile_size * n_tiles
        output_img = PILImage.new("RGB", (output_size, output_size))
    
        n_failed_tiles = 0
    
        # Prepare all tile download tasks
        download_tasks = []
        for row in range(n_tiles):
            for col in range(n_tiles):
                tile_x = start_x + col
                tile_y = start_y + row
                download_tasks.append((row, col, tile_x, tile_y, zoom_level))
    
        # Download tiles in parallel with max 5 workers
        with ThreadPoolExecutor(max_workers=5) as executor:
            futures = [executor.submit(_download_tile, task) for task in download_tasks]
    
            for future in as_completed(futures):
                row, col, tile_img = future.result()
    
                if tile_img is not None:
                    paste_x = col * tile_size
                    paste_y = row * tile_size
                    output_img.paste(tile_img, (paste_x, paste_y))
                else:
                    n_failed_tiles += 1
    
        if n_failed_tiles > 3:
>           raise ValueError("Failed to download all tiles for the requested map.")
E           ValueError: Failed to download all tiles for the requested map.

center_x   = 41920.27352177778
center_y   = 101345.36949820863
col        = 3
download_tasks = [(0, 0, 41918, 101343, 18), (0, 1, 41919, 101343, 18), (0, 2, 41920, 101343, 18), (0, 3, 41921, 101343, 18), (1, 0, 41918, 101344, 18), (1, 1, 41919, 101344, 18), ...]
executor   = <concurrent.futures.thread.ThreadPoolExecutor object at 0x7fed7c1bad80>
future     = <Future at 0x7fed7c1a94f0 state=finished returned tuple>
futures    = [<Future at 0x7fed7c1ba840 state=finished returned tuple>, <Future at 0x7fed7c1b8aa0 state=finished returned tuple>, <...Future at 0x7fed7c1bb950 state=finished returned tuple>, <Future at 0x7fed7c1ab890 state=finished returned tuple>, ...]
n_failed_tiles = 16
n_tiles    = 4
output_img = <PIL.Image.Image image mode=RGB size=1024x1024 at 0x7FED7C1B90D0>
output_size = 1024
position   = LatLon(lat=37.751857, lon=-122.431265, alt=None)
row        = 3
start_x    = 41918
start_y    = 101343
tile_img   = None
tile_size  = 256
tile_x     = 41921
tile_y     = 101346
zoom_level = 18

.../mapping/osm/osm.py:176: ValueError

dimos.mapping.osm.test_osm::test_latlon_to_pixel

Stack Traces | 0.054s run time

mock_openstreetmap_org = None

    def test_latlon_to_pixel(mock_openstreetmap_org: None) -> None:
        position = LatLon(lat=37.751857, lon=-122.431265)
>       map_image = get_osm_map(position, 18, 4)

mock_openstreetmap_org = None
position   = LatLon(lat=37.751857, lon=-122.431265, alt=None)

.../mapping/osm/test_osm.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

position = LatLon(lat=37.751857, lon=-122.431265, alt=None), zoom_level = 18
n_tiles = 4

    def get_osm_map(position: LatLon, zoom_level: int = 18, n_tiles: int = 4) -> MapImage:
        """
        Tiles are always 256x256 pixels. With n_tiles=4, this should produce a 1024x1024 image.
        Downloads tiles in parallel with a maximum of 5 concurrent downloads.
    
        Args:
            position (LatLon): center position
            zoom_level (int, optional): Defaults to 18.
            n_tiles (int, optional): generate a map of n_tiles by n_tiles.
        """
        center_x, center_y = _lat_lon_to_tile(position.lat, position.lon, zoom_level)
    
        start_x = int(center_x - n_tiles / 2.0)
        start_y = int(center_y - n_tiles / 2.0)
    
        tile_size = 256
        output_size = tile_size * n_tiles
        output_img = PILImage.new("RGB", (output_size, output_size))
    
        n_failed_tiles = 0
    
        # Prepare all tile download tasks
        download_tasks = []
        for row in range(n_tiles):
            for col in range(n_tiles):
                tile_x = start_x + col
                tile_y = start_y + row
                download_tasks.append((row, col, tile_x, tile_y, zoom_level))
    
        # Download tiles in parallel with max 5 workers
        with ThreadPoolExecutor(max_workers=5) as executor:
            futures = [executor.submit(_download_tile, task) for task in download_tasks]
    
            for future in as_completed(futures):
                row, col, tile_img = future.result()
    
                if tile_img is not None:
                    paste_x = col * tile_size
                    paste_y = row * tile_size
                    output_img.paste(tile_img, (paste_x, paste_y))
                else:
                    n_failed_tiles += 1
    
        if n_failed_tiles > 3:
>           raise ValueError("Failed to download all tiles for the requested map.")
E           ValueError: Failed to download all tiles for the requested map.

center_x   = 41920.27352177778
center_y   = 101345.36949820863
col        = 3
download_tasks = [(0, 0, 41918, 101343, 18), (0, 1, 41919, 101343, 18), (0, 2, 41920, 101343, 18), (0, 3, 41921, 101343, 18), (1, 0, 41918, 101344, 18), (1, 1, 41919, 101344, 18), ...]
executor   = <concurrent.futures.thread.ThreadPoolExecutor object at 0x7fed7c1b88c0>
future     = <Future at 0x7fed7c17f530 state=finished returned tuple>
futures    = [<Future at 0x7fed7c1b96a0 state=finished returned tuple>, <Future at 0x7fed7c1b29f0 state=finished returned tuple>, <...Future at 0x7fed7c1b2900 state=finished returned tuple>, <Future at 0x7fed7c1ab6e0 state=finished returned tuple>, ...]
n_failed_tiles = 16
n_tiles    = 4
output_img = <PIL.Image.Image image mode=RGB size=1024x1024 at 0x7FED7C1B9970>
output_size = 1024
position   = LatLon(lat=37.751857, lon=-122.431265, alt=None)
row        = 3
start_x    = 41918
start_y    = 101343
tile_img   = None
tile_size  = 256
tile_x     = 41921
tile_y     = 101346
zoom_level = 18

.../mapping/osm/osm.py:176: ValueError

dimos.codebase_checks.test_blueprint_kwargs::test_blueprint_atom_kwargs_match_module_config[coordinator-flowbase-nav]

Stack Traces | 0.055s run time

blueprint_name = 'coordinator-flowbase-nav'

    @pytest.mark.parametrize("blueprint_name", _blueprint_params())
    def test_blueprint_atom_kwargs_match_module_config(blueprint_name: str) -> None:
        """Fail when blueprint kwargs cannot be consumed by their target module."""
>       blueprint = _get_blueprint_or_skip(blueprint_name)

blueprint_name = 'coordinator-flowbase-nav'

dimos/codebase_checks/test_blueprint_kwargs.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
dimos/codebase_checks/test_blueprint_kwargs.py:36: in _get_blueprint_or_skip
    return get_blueprint_by_name(blueprint_name)
        blueprint_name = 'coordinator-flowbase-nav'
        message    = "Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root"
dimos/robot/get_all_blueprints.py:51: in get_blueprint_by_name
    module = __import__(module_path, fromlist=[attr])
        attr       = 'coordinator_flowbase_nav'
        module_path = 'dimos.control.blueprints.mobile'
        name       = 'coordinator-flowbase-nav'
.../control/blueprints/mobile.py:139: in <module>
    "paths_dir": str(G1_LOCAL_PLANNER_PRECOMPUTED_PATHS),
        ControlCoordinator = <class 'dimos.control.coordinator.ControlCoordinator'>
        FastLio2   = <class 'dimos.hardware.sensors.lidar.fastlio2.module.FastLio2'>
        G1_LOCAL_PLANNER_PRECOMPUTED_PATHS = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
        HardwareComponent = <class 'dimos.control.components.HardwareComponent'>
        HardwareType = <enum 'HardwareType'>
        KeyboardTeleop = <class 'dimos.robot.unitree.keyboard_teleop.KeyboardTeleop'>
        MovementManager = <class 'dimos.navigation.movement_manager.movement_manager.MovementManager'>
        RerunBridgeModule = <class 'dimos.visualization.rerun.bridge.RerunBridgeModule'>
        RerunWebSocketServer = <class 'dimos.visualization.rerun.websocket_server.RerunWebSocketServer'>
        TaskConfig = <class 'dimos.control.coordinator.TaskConfig'>
        __builtins__ = <builtins>
        __cached__ = '.../blueprints/__pycache__/mobile.cpython-312.pyc'
        __doc__    = 'Mobile manipulation coordinator blueprints.\n\nUsage:\n    dimos run coordinator-mock-twist-base                # Moc... teleop\n    dimos run coordinator-flowbase-nav                   # FlowBase + FastLio2 + nav stack (click-to-drive)\n'
        __file__   = '/__w/dimos/dimos/.../control/blueprints/mobile.py'
        __loader__ = <_frozen_importlib_external.SourceFileLoader object at 0x7fed647bec00>
        __name__   = 'dimos.control.blueprints.mobile'
        __package__ = 'dimos.control.blueprints'
        __spec__   = ModuleSpec(name='dimos.control.blueprints.mobile', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7fed647bec00>, origin='/__w/dimos/dimos/.../control/blueprints/mobile.py')
        _base_joints = ['base/vx', 'base/vy', 'base/wz']
        _flowbase_twist_base = <function _flowbase_twist_base at 0x7fed648fc040>
        _mock_twist_base = <function _mock_twist_base at 0x7fed640d3f60>
        annotations = _Feature((3, 7, 0, 'beta', 1), None, 16777216)
        autoconnect = <function autoconnect at 0x7fefb22a14e0>
        cmu_nav_rerun_config = <function cmu_nav_rerun_config at 0x7fed56fd18a0>
        coordinator_flowbase = Blueprint(blueprints=(BlueprintAtom(kwargs={'hardware': [HardwareComponent(hardware_id='base', hardware_type=<Hardware..._map=mappingproxy({('controlcoordinator', 'twist_command'): 'cmd_vel'}), requirement_checks=(), configurator_checks=())
        coordinator_flowbase_keyboard_teleop = Blueprint(blueprints=(BlueprintAtom(kwargs={'hardware': [HardwareComponent(hardware_id='base', hardware_type=<Hardware..._map=mappingproxy({('controlcoordinator', 'twist_command'): 'cmd_vel'}), requirement_checks=(), configurator_checks=())
        coordinator_mock_twist_base = Blueprint(blueprints=(BlueprintAtom(kwargs={'hardware': [HardwareComponent(hardware_id='base', hardware_type=<Hardware..._map=mappingproxy({('controlcoordinator', 'twist_command'): 'cmd_vel'}), requirement_checks=(), configurator_checks=())
        create_cmu_nav = <function create_cmu_nav at 0x7fed56fd0b80>
        make_joints = <function make_joints at 0x7fedb12e6160>
        make_twist_base_joints = <function make_twist_base_joints at 0x7fedb12e5c60>
        os         = <module 'os' (frozen)>
dimos/utils/data.py:420: in __str__
    return str(self._ensure_downloaded())
        self       = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
dimos/utils/data.py:406: in _ensure_downloaded
    resolved = get_data(object.__getattribute__(self, "_lfs_filename"))
        resolved   = None
        self       = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
dimos/utils/data.py:386: in get_data
    _materialize_archive(archive, top_level, reference.parts[1:], data_dir, name)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        data_dir   = PosixPath('.../dimos/dimos/data')
        destination = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        file_path  = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        name       = 'unitree_g1_local_planner_precomputed_paths'
        reference  = PosixPath('unitree_g1_local_planner_precomputed_paths')
        remote_archive = 'data/unitree_g1_local_planner_precomputed_paths.tar.gz'
        requested  = PosixPath('unitree_g1_local_planner_precomputed_paths')
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
dimos/utils/data.py:316: in _materialize_archive
    _extract_archive(archive, staging, top_level, requested, name)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        data_dir   = PosixPath('.../dimos/dimos/data')
        destination = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        name       = 'unitree_g1_local_planner_precomputed_paths'
        requested  = ()
        staging    = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-s9k24jx1')
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
dimos/utils/data.py:218: in _extract_archive
    path = _archive_member_path(member, top_level)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        member     = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed645eef80>
        members    = [<TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed645eef80>, <TarInfo 'unitree_g1_local_planner_precom... at 0x7fed645ef340>, <TarInfo 'unitree_g1_local_planner_precomputed_paths/correspondences.txt' at 0x7fed645eebc0>, ...]
        name       = 'unitree_g1_local_planner_precomputed_paths'
        requested  = ()
        root_kind  = None
        seen       = set()
        staged_top = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-s9k24jx1/unitree_g1_local_planner_precomputed_paths')
        staging    = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-s9k24jx1')
        tar        = <tarfile.TarFile object at 0x7fed647e4d40>
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
        validated  = []
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

member = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed645eef80>
top_level = 'unitree_g1_local_planner_precomputed_paths'

    def _archive_member_path(member: tarfile.TarInfo, top_level: str) -> PurePosixPath:
        name = member.name
        if not name or name.startswith("/") or "\\" in name:
            raise RuntimeError(f"Unsafe archive member path {name!r}")
        parts = name.split("/")
        if parts[-1] == "":
            parts.pop()
        if not parts or any(part in ("", ".", "..") for part in parts):
            raise RuntimeError(f"Unsafe archive member path {name!r}")
        path = PurePosixPath(*parts)
        if path.parts[0] != top_level:
>           raise RuntimeError(f"Archive member {name!r} has the wrong root")
E           RuntimeError: Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root

member     = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed645eef80>
name       = '._unitree_g1_local_planner_precomputed_paths'
parts      = ['._unitree_g1_local_planner_precomputed_paths']
path       = PurePosixPath('._unitree_g1_local_planner_precomputed_paths')
top_level  = 'unitree_g1_local_planner_precomputed_paths'

dimos/utils/data.py:161: RuntimeError

dimos.robot.test_all_blueprints::test_self_hosted_blueprint_is_valid[unitree-g1-nav-sim]

Stack Traces | 0.055s run time

blueprint_name = 'unitree-g1-nav-sim'

    @pytest.mark.self_hosted
    @pytest.mark.parametrize("blueprint_name", SELF_HOSTED_BLUEPRINTS)
    def test_self_hosted_blueprint_is_valid(blueprint_name: str) -> None:
        """Validate blueprints that need heavy deps or LFS — self-hosted runner only."""
>       _check_blueprint(blueprint_name)

blueprint_name = 'unitree-g1-nav-sim'

dimos/robot/test_all_blueprints.py:116: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
dimos/robot/test_all_blueprints.py:85: in _check_blueprint
    blueprint = get_blueprint_by_name(blueprint_name)
        blueprint_name = 'unitree-g1-nav-sim'
        message    = "Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root"
dimos/robot/get_all_blueprints.py:51: in get_blueprint_by_name
    module = __import__(module_path, fromlist=[attr])
        attr       = 'unitree_g1_nav_sim'
        module_path = 'dimos.robot.unitree.g1.blueprints.navigation.unitree_g1_nav_sim'
        name       = 'unitree-g1-nav-sim'
.../blueprints/navigation/unitree_g1_nav_sim.py:41: in <module>
    "paths_dir": str(G1_LOCAL_PLANNER_PRECOMPUTED_PATHS),
        Any        = typing.Any
        G1         = G1Config(name='unitree_g1', model_path=PosixPath('.../unitree/g1/g1.urdf'), height_clearance=...sition=Vector([          0           0         1.2]), orientation=Quaternion(0.000000, 0.000000, 0.000000, 1.000000))})
        G1_LOCAL_PLANNER_PRECOMPUTED_PATHS = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
        MovementManager = <class 'dimos.navigation.movement_manager.movement_manager.MovementManager'>
        UnityBridgeModule = <class 'dimos.simulation.unity.module.UnityBridgeModule'>
        __annotations__ = {}
        __builtins__ = <builtins>
        __cached__ = '.../navigation/__pycache__/unitree_g1_nav_sim.cpython-312.pyc'
        __doc__    = None
        __file__   = '/__w/dimos/dimos/.../blueprints/navigation/unitree_g1_nav_sim.py'
        __loader__ = <_frozen_importlib_external.SourceFileLoader object at 0x7fece7fbf440>
        __name__   = 'dimos.robot.unitree.g1.blueprints.navigation.unitree_g1_nav_sim'
        __package__ = 'dimos.robot.unitree.g1.blueprints.navigation'
        __spec__   = ModuleSpec(name='dimos.robot.unitree.g1.blueprints.navigation.unitree_g1_nav_sim', loader=<_frozen_importlib_external....bject at 0x7fece7fbf440>, origin='/__w/dimos/dimos/.../blueprints/navigation/unitree_g1_nav_sim.py')
        annotations = _Feature((3, 7, 0, 'beta', 1), None, 16777216)
        autoconnect = <function autoconnect at 0x7fefb22a14e0>
        cmu_nav_rerun_config = <function cmu_nav_rerun_config at 0x7fed56fd18a0>
        create_cmu_nav = <function create_cmu_nav at 0x7fed56fd0b80>
        g1_static_robot = <function g1_static_robot at 0x7fed6497c7c0>
        global_config = GlobalConfig(robot_ip=None, robot_ips=None, unitree_aes_128_key=None, xarm7_ip=None, xarm6_ip=None, can_port=None, dev...detection_model='moondream', listen_host='127.0.0.1', dimsim_scene='apartment', dimsim_port=8090, dimsim_headless=True)
        vis_module = <function vis_module at 0x7fed66e3bce0>
dimos/utils/data.py:420: in __str__
    return str(self._ensure_downloaded())
        self       = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
dimos/utils/data.py:406: in _ensure_downloaded
    resolved = get_data(object.__getattribute__(self, "_lfs_filename"))
        resolved   = None
        self       = <[RuntimeError("Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root") raised in repr()] LfsPath object at 0x7fed56f86150>
dimos/utils/data.py:386: in get_data
    _materialize_archive(archive, top_level, reference.parts[1:], data_dir, name)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        data_dir   = PosixPath('.../dimos/dimos/data')
        destination = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        file_path  = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        name       = 'unitree_g1_local_planner_precomputed_paths'
        reference  = PosixPath('unitree_g1_local_planner_precomputed_paths')
        remote_archive = 'data/unitree_g1_local_planner_precomputed_paths.tar.gz'
        requested  = PosixPath('unitree_g1_local_planner_precomputed_paths')
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
dimos/utils/data.py:316: in _materialize_archive
    _extract_archive(archive, staging, top_level, requested, name)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        data_dir   = PosixPath('.../dimos/dimos/data')
        destination = PosixPath('.../dimos/dimos/data/unitree_g1_local_planner_precomputed_paths')
        name       = 'unitree_g1_local_planner_precomputed_paths'
        requested  = ()
        staging    = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-fdrdr1jb')
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
dimos/utils/data.py:218: in _extract_archive
    path = _archive_member_path(member, top_level)
        archive    = PosixPath('........./github/home/.cache.../f262d7f8775c2d507b1bfde62a5aa21cffabb3a1/data/unitree_g1_local_planner_precomputed_paths.tar.gz')
        member     = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed51770940>
        members    = [<TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed51770940>, <TarInfo 'unitree_g1_local_planner_precom... at 0x7fed51770a00>, <TarInfo 'unitree_g1_local_planner_precomputed_paths/correspondences.txt' at 0x7fed51773dc0>, ...]
        name       = 'unitree_g1_local_planner_precomputed_paths'
        requested  = ()
        root_kind  = None
        seen       = set()
        staged_top = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-fdrdr1jb/unitree_g1_local_planner_precomputed_paths')
        staging    = PosixPath('.../dimos/dimos/data/.unitree_g1_local_planner_precomputed_paths.tmp-fdrdr1jb')
        tar        = <tarfile.TarFile object at 0x7fece7fbf3e0>
        top_level  = 'unitree_g1_local_planner_precomputed_paths'
        validated  = []
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

member = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed51770940>
top_level = 'unitree_g1_local_planner_precomputed_paths'

    def _archive_member_path(member: tarfile.TarInfo, top_level: str) -> PurePosixPath:
        name = member.name
        if not name or name.startswith("/") or "\\" in name:
            raise RuntimeError(f"Unsafe archive member path {name!r}")
        parts = name.split("/")
        if parts[-1] == "":
            parts.pop()
        if not parts or any(part in ("", ".", "..") for part in parts):
            raise RuntimeError(f"Unsafe archive member path {name!r}")
        path = PurePosixPath(*parts)
        if path.parts[0] != top_level:
>           raise RuntimeError(f"Archive member {name!r} has the wrong root")
E           RuntimeError: Archive member '._unitree_g1_local_planner_precomputed_paths' has the wrong root

member     = <TarInfo '._unitree_g1_local_planner_precomputed_paths' at 0x7fed51770940>
name       = '._unitree_g1_local_planner_precomputed_paths'
parts      = ['._unitree_g1_local_planner_precomputed_paths']
path       = PurePosixPath('._unitree_g1_local_planner_precomputed_paths')
top_level  = 'unitree_g1_local_planner_precomputed_paths'

dimos/utils/data.py:161: RuntimeError

dimos.codebase_checks.test_blueprint_kwargs::test_blueprint_atom_kwargs_match_module_config[coordinator-flowbase-keyboard-teleop]