mirror of
https://github.com/huggingface/lerobot.git
synced 2026-07-24 10:16:09 +00:00
test(update): update tests
This commit is contained in:
@@ -30,25 +30,46 @@ from lerobot.utils.constants import OBS_STATE
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@pytest.fixture
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@pytest.fixture
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def mock_rerun(monkeypatch):
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def mock_rerun(monkeypatch):
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"""
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"""
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Provide a mock `rerun` module so tests don't depend on the real library.
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Provide a mock `rerun` module (and `rerun.blueprint` submodule) so tests don't
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Also reload the module-under-test so it binds to this mock `rr`.
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depend on the real library. Also reload the module-under-test so it binds to
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this mock `rr`.
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"""
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"""
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calls = []
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calls = []
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blueprints = []
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class DummyScalar:
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class DummyScalar:
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def __init__(self, value):
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def __init__(self, value):
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self.value = float(value)
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# Scalars may be built from a single float or from a 1D array batch.
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self.value = value
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class DummyImage:
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class DummyImage:
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def __init__(self, arr):
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def __init__(self, arr):
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self.arr = arr
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self.arr = arr
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def compress(self, *a, **k):
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return self
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def dummy_log(key, obj=None, **kwargs):
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def dummy_log(key, obj=None, **kwargs):
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# Accept either positional `obj` or keyword `entity` and record remaining kwargs.
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# Accept either positional `obj` or keyword `entity` and record remaining kwargs.
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if obj is None and "entity" in kwargs:
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if obj is None and "entity" in kwargs:
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obj = kwargs.pop("entity")
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obj = kwargs.pop("entity")
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calls.append((key, obj, kwargs))
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calls.append((key, obj, kwargs))
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def dummy_send_blueprint(blueprint, *a, **k):
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blueprints.append(blueprint)
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# Mock the `rerun.blueprint` submodule used to build the layout.
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dummy_rrb = SimpleNamespace(
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Spatial2DView=lambda origin=None, name=None: SimpleNamespace(
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kind="Spatial2DView", origin=origin, name=name
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),
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TimeSeriesView=lambda name=None, contents=None: SimpleNamespace(
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kind="TimeSeriesView", name=name, contents=contents
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),
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Grid=lambda *views: SimpleNamespace(kind="Grid", views=list(views)),
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Blueprint=lambda root: SimpleNamespace(kind="Blueprint", root=root),
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)
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dummy_rr = SimpleNamespace(
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dummy_rr = SimpleNamespace(
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__name__="rerun",
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__name__="rerun",
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__package__="rerun",
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__package__="rerun",
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@@ -56,20 +77,23 @@ def mock_rerun(monkeypatch):
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Scalars=DummyScalar,
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Scalars=DummyScalar,
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Image=DummyImage,
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Image=DummyImage,
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log=dummy_log,
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log=dummy_log,
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send_blueprint=dummy_send_blueprint,
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init=lambda *a, **k: None,
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init=lambda *a, **k: None,
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spawn=lambda *a, **k: None,
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spawn=lambda *a, **k: None,
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blueprint=dummy_rrb,
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)
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)
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# Inject fake module into sys.modules
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# Inject fake modules into sys.modules (both `rerun` and `rerun.blueprint`).
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monkeypatch.setitem(sys.modules, "rerun", dummy_rr)
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monkeypatch.setitem(sys.modules, "rerun", dummy_rr)
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monkeypatch.setitem(sys.modules, "rerun.blueprint", dummy_rrb)
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# Now import and reload the module under test, to bind to our rerun mock
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# Now import and reload the module under test, to bind to our rerun mock
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import lerobot.utils.visualization_utils as vu
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import lerobot.utils.visualization_utils as vu
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importlib.reload(vu)
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importlib.reload(vu)
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# Expose both the reloaded module and the call recorder
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# Expose the reloaded module, the call recorder and the captured blueprints
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yield vu, calls
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yield vu, calls, blueprints
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def _keys(calls):
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def _keys(calls):
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@@ -92,8 +116,13 @@ def _kwargs_for(calls, key):
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raise KeyError(f"Key {key} not found in calls: {calls}")
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raise KeyError(f"Key {key} not found in calls: {calls}")
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def _views_by_kind(blueprint, kind):
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"""Return the views of a given kind from the (single) blueprint's grid."""
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return [v for v in blueprint.root.views if v.kind == kind]
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def test_log_rerun_data_envtransition_scalars_and_image(mock_rerun):
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def test_log_rerun_data_envtransition_scalars_and_image(mock_rerun):
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vu, calls = mock_rerun
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vu, calls, blueprints = mock_rerun
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# Build EnvTransition dict
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# Build EnvTransition dict
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obs = {
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obs = {
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@@ -103,7 +132,7 @@ def test_log_rerun_data_envtransition_scalars_and_image(mock_rerun):
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}
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}
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act = {
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act = {
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"action.throttle": 0.7,
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"action.throttle": 0.7,
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# 1D array should log individual Scalars with suffix _i
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# 1D array should be logged as a single Scalars batch under one entity path
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"action.vector": np.array([1.0, 2.0], dtype=np.float32),
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"action.vector": np.array([1.0, 2.0], dtype=np.float32),
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}
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}
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transition = {
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transition = {
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@@ -120,31 +149,28 @@ def test_log_rerun_data_envtransition_scalars_and_image(mock_rerun):
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# - observation.state.temperature -> Scalars
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# - observation.state.temperature -> Scalars
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# - observation.camera -> Image (HWC) with static=True
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# - observation.camera -> Image (HWC) with static=True
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# - action.throttle -> Scalars
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# - action.throttle -> Scalars
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# - action.vector_0, action.vector_1 -> Scalars
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# - action.vector -> single Scalars batch (no per-element suffix)
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expected_keys = {
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expected_keys = {
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f"{OBS_STATE}.temperature",
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f"{OBS_STATE}.temperature",
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"observation.camera",
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"observation.camera",
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"action.throttle",
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"action.throttle",
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"action.vector_0",
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"action.vector",
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"action.vector_1",
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}
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}
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assert set(_keys(calls)) == expected_keys
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assert set(_keys(calls)) == expected_keys
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# Check scalar types and values
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# Check scalar types and values
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temp_obj = _obj_for(calls, f"{OBS_STATE}.temperature")
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temp_obj = _obj_for(calls, f"{OBS_STATE}.temperature")
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assert type(temp_obj).__name__ == "DummyScalar"
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assert type(temp_obj).__name__ == "DummyScalar"
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assert temp_obj.value == pytest.approx(25.0)
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assert float(temp_obj.value) == pytest.approx(25.0)
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throttle_obj = _obj_for(calls, "action.throttle")
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throttle_obj = _obj_for(calls, "action.throttle")
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assert type(throttle_obj).__name__ == "DummyScalar"
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assert type(throttle_obj).__name__ == "DummyScalar"
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assert throttle_obj.value == pytest.approx(0.7)
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assert float(throttle_obj.value) == pytest.approx(0.7)
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v0 = _obj_for(calls, "action.vector_0")
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# 1D vector logged as a single batched Scalars under one entity path
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v1 = _obj_for(calls, "action.vector_1")
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vec = _obj_for(calls, "action.vector")
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assert type(v0).__name__ == "DummyScalar"
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assert type(vec).__name__ == "DummyScalar"
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assert type(v1).__name__ == "DummyScalar"
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np.testing.assert_allclose(np.asarray(vec.value), [1.0, 2.0])
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assert v0.value == pytest.approx(1.0)
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assert v1.value == pytest.approx(2.0)
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# Check image handling: CHW -> HWC
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# Check image handling: CHW -> HWC
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img_obj = _obj_for(calls, "observation.camera")
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img_obj = _obj_for(calls, "observation.camera")
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@@ -152,9 +178,24 @@ def test_log_rerun_data_envtransition_scalars_and_image(mock_rerun):
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assert img_obj.arr.shape == (10, 20, 3) # transposed
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assert img_obj.arr.shape == (10, 20, 3) # transposed
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assert _kwargs_for(calls, "observation.camera").get("static", False) is True # static=True for images
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assert _kwargs_for(calls, "observation.camera").get("static", False) is True # static=True for images
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# A blueprint should have been built and sent exactly once, and cached on the function.
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assert len(blueprints) == 1
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assert vu.log_rerun_data.blueprint is blueprints[0]
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bp = blueprints[0]
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# One spatial view per image path
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spatial_views = _views_by_kind(bp, "Spatial2DView")
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assert {v.origin for v in spatial_views} == {"observation.camera"}
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# One time-series view each for observation and action scalars
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ts_views = {v.name: v for v in _views_by_kind(bp, "TimeSeriesView")}
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assert set(ts_views) == {"observation", "action"}
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assert ts_views["observation"].contents == [f"{OBS_STATE}.temperature"]
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assert ts_views["action"].contents == ["action.throttle", "action.vector"]
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def test_log_rerun_data_plain_list_ordering_and_prefixes(mock_rerun):
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def test_log_rerun_data_plain_list_ordering_and_prefixes(mock_rerun):
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vu, calls = mock_rerun
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vu, calls, blueprints = mock_rerun
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# First dict without prefixes treated as observation
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# First dict without prefixes treated as observation
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# Second dict without prefixes treated as action
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# Second dict without prefixes treated as action
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@@ -173,14 +214,12 @@ def test_log_rerun_data_plain_list_ordering_and_prefixes(mock_rerun):
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# First dict was treated as observation, second as action
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# First dict was treated as observation, second as action
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vu.log_rerun_data(observation=obs_plain, action=act_plain)
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vu.log_rerun_data(observation=obs_plain, action=act_plain)
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# Expected keys with auto-prefixes
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# Expected keys with auto-prefixes. The 1D vector is a single batched Scalars.
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expected = {
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expected = {
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"observation.temp",
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"observation.temp",
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"observation.img",
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"observation.img",
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"action.throttle",
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"action.throttle",
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"action.vec_0",
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"action.vec",
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"action.vec_1",
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"action.vec_2",
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}
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}
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logged = set(_keys(calls))
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logged = set(_keys(calls))
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assert logged == expected
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assert logged == expected
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@@ -188,11 +227,11 @@ def test_log_rerun_data_plain_list_ordering_and_prefixes(mock_rerun):
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# Scalars
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# Scalars
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t = _obj_for(calls, "observation.temp")
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t = _obj_for(calls, "observation.temp")
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assert type(t).__name__ == "DummyScalar"
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assert type(t).__name__ == "DummyScalar"
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assert t.value == pytest.approx(1.5)
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assert float(t.value) == pytest.approx(1.5)
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throttle = _obj_for(calls, "action.throttle")
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throttle = _obj_for(calls, "action.throttle")
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assert type(throttle).__name__ == "DummyScalar"
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assert type(throttle).__name__ == "DummyScalar"
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assert throttle.value == pytest.approx(0.3)
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assert float(throttle.value) == pytest.approx(0.3)
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# Image stays HWC
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# Image stays HWC
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img = _obj_for(calls, "observation.img")
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img = _obj_for(calls, "observation.img")
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@@ -200,15 +239,23 @@ def test_log_rerun_data_plain_list_ordering_and_prefixes(mock_rerun):
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assert img.arr.shape == (5, 6, 3)
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assert img.arr.shape == (5, 6, 3)
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assert _kwargs_for(calls, "observation.img").get("static", False) is True
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assert _kwargs_for(calls, "observation.img").get("static", False) is True
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# Vectors
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# Vector logged as a single batched Scalars under one entity path
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for i, val in enumerate([9, 8, 7]):
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vec = _obj_for(calls, "action.vec")
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o = _obj_for(calls, f"action.vec_{i}")
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assert type(vec).__name__ == "DummyScalar"
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assert type(o).__name__ == "DummyScalar"
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np.testing.assert_allclose(np.asarray(vec.value), [9, 8, 7])
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assert o.value == pytest.approx(val)
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# Blueprint sent once with the expected view layout
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assert len(blueprints) == 1
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bp = blueprints[0]
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spatial_views = _views_by_kind(bp, "Spatial2DView")
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assert {v.origin for v in spatial_views} == {"observation.img"}
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ts_views = {v.name: v for v in _views_by_kind(bp, "TimeSeriesView")}
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assert ts_views["observation"].contents == ["observation.temp"]
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assert ts_views["action"].contents == ["action.throttle", "action.vec"]
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def test_log_rerun_data_kwargs_only(mock_rerun):
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def test_log_rerun_data_kwargs_only(mock_rerun):
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vu, calls = mock_rerun
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vu, calls, blueprints = mock_rerun
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vu.log_rerun_data(
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vu.log_rerun_data(
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observation={"observation.temp": 10.0, "observation.gray": np.zeros((8, 8, 1), dtype=np.uint8)},
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observation={"observation.temp": 10.0, "observation.gray": np.zeros((8, 8, 1), dtype=np.uint8)},
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@@ -222,7 +269,7 @@ def test_log_rerun_data_kwargs_only(mock_rerun):
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temp = _obj_for(calls, "observation.temp")
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temp = _obj_for(calls, "observation.temp")
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assert type(temp).__name__ == "DummyScalar"
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assert type(temp).__name__ == "DummyScalar"
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assert temp.value == pytest.approx(10.0)
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assert float(temp.value) == pytest.approx(10.0)
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img = _obj_for(calls, "observation.gray")
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img = _obj_for(calls, "observation.gray")
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assert type(img).__name__ == "DummyImage"
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assert type(img).__name__ == "DummyImage"
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@@ -231,4 +278,26 @@ def test_log_rerun_data_kwargs_only(mock_rerun):
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a = _obj_for(calls, "action.a")
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a = _obj_for(calls, "action.a")
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assert type(a).__name__ == "DummyScalar"
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assert type(a).__name__ == "DummyScalar"
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assert a.value == pytest.approx(1.0)
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assert float(a.value) == pytest.approx(1.0)
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# Blueprint sent once, with a spatial view for the image and time-series views for scalars
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assert len(blueprints) == 1
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bp = blueprints[0]
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assert {v.origin for v in _views_by_kind(bp, "Spatial2DView")} == {"observation.gray"}
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ts_views = {v.name: v for v in _views_by_kind(bp, "TimeSeriesView")}
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assert ts_views["observation"].contents == ["observation.temp"]
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assert ts_views["action"].contents == ["action.a"]
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def test_log_rerun_data_blueprint_sent_only_once(mock_rerun):
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"""The blueprint is built from the first call and not resent on subsequent calls."""
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vu, calls, blueprints = mock_rerun
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vu.log_rerun_data(observation={"temp": 1.0}, action={"a": 2.0})
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assert len(blueprints) == 1
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first_blueprint = vu.log_rerun_data.blueprint
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vu.log_rerun_data(observation={"temp": 3.0}, action={"a": 4.0})
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# Still only one blueprint, and the cached one is unchanged.
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assert len(blueprints) == 1
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assert vu.log_rerun_data.blueprint is first_blueprint
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