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[pre-commit.ci] auto fixes from pre-commit.com hooks

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This commit is contained in:
pre-commit-ci[bot]
2025-03-24 13:16:38 +00:00
committed by Michel Aractingi
parent cdcf346061
commit 1c8daf11fd
95 changed files with 1592 additions and 491 deletions
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37
tests/utils/test_logging_utils.py
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@@ -18,7 +18,10 @@ from lerobot.common.utils.logging_utils import AverageMeter, MetricsTracker
@pytest.fixture
def mock_metrics():
return {"loss": AverageMeter("loss", ":.3f"), "accuracy": AverageMeter("accuracy", ":.2f")}
return {
"loss": AverageMeter("loss", ":.3f"),
"accuracy": AverageMeter("accuracy", ":.2f"),
}
def test_average_meter_initialization():
@@ -58,7 +61,11 @@ def test_average_meter_str():
def test_metrics_tracker_initialization(mock_metrics):
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics, initial_step=10
batch_size=32,
num_frames=1000,
num_episodes=50,
metrics=mock_metrics,
initial_step=10,
)
assert tracker.steps == 10
assert tracker.samples == 10 * 32
@@ -70,7 +77,11 @@ def test_metrics_tracker_initialization(mock_metrics):
def test_metrics_tracker_step(mock_metrics):
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics, initial_step=5
batch_size=32,
num_frames=1000,
num_episodes=50,
metrics=mock_metrics,
initial_step=5,
)
tracker.step()
assert tracker.steps == 6
@@ -80,7 +91,9 @@ def test_metrics_tracker_step(mock_metrics):
def test_metrics_tracker_getattr(mock_metrics):
tracker = MetricsTracker(batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics)
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics
)
assert tracker.loss == mock_metrics["loss"]
assert tracker.accuracy == mock_metrics["accuracy"]
with pytest.raises(AttributeError):
@@ -88,13 +101,17 @@ def test_metrics_tracker_getattr(mock_metrics):
def test_metrics_tracker_setattr(mock_metrics):
tracker = MetricsTracker(batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics)
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics
)
tracker.loss = 2.0
assert tracker.loss.val == 2.0
def test_metrics_tracker_str(mock_metrics):
tracker = MetricsTracker(batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics)
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics
)
tracker.loss.update(3.456, 1)
tracker.accuracy.update(0.876, 1)
output = str(tracker)
@@ -103,7 +120,9 @@ def test_metrics_tracker_str(mock_metrics):
def test_metrics_tracker_to_dict(mock_metrics):
tracker = MetricsTracker(batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics)
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics
)
tracker.loss.update(5, 2)
metrics_dict = tracker.to_dict()
assert isinstance(metrics_dict, dict)
@@ -112,7 +131,9 @@ def test_metrics_tracker_to_dict(mock_metrics):
def test_metrics_tracker_reset_averages(mock_metrics):
tracker = MetricsTracker(batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics)
tracker = MetricsTracker(
batch_size=32, num_frames=1000, num_episodes=50, metrics=mock_metrics
)
tracker.loss.update(10, 3)
tracker.accuracy.update(0.95, 5)
tracker.reset_averages()