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@@ -61,10 +61,7 @@ def test_sample_indices():
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assert len(indices) == estimate_num_samples(10)
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@patch(
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"lerobot.common.datasets.compute_stats.load_image_as_numpy",
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side_effect=mock_load_image_as_numpy,
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)
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@patch("lerobot.common.datasets.compute_stats.load_image_as_numpy", side_effect=mock_load_image_as_numpy)
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def test_sample_images(mock_load):
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image_paths = [f"image_{i}.jpg" for i in range(100)]
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images = sample_images(image_paths)
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@@ -148,8 +145,7 @@ def test_compute_episode_stats():
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}
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with patch(
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"lerobot.common.datasets.compute_stats.load_image_as_numpy",
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side_effect=mock_load_image_as_numpy,
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"lerobot.common.datasets.compute_stats.load_image_as_numpy", side_effect=mock_load_image_as_numpy
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):
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stats = compute_episode_stats(episode_data, features)
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@@ -237,13 +233,7 @@ def test_aggregate_stats():
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"std": [2.87, 5.87, 8.87],
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"count": 10,
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},
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"observation.state": {
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"min": 1,
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"max": 10,
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"mean": 5.5,
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"std": 2.87,
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"count": 10,
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},
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"observation.state": {"min": 1, "max": 10, "mean": 5.5, "std": 2.87, "count": 10},
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"extra_key_0": {"min": 5, "max": 25, "mean": 15, "std": 6, "count": 6},
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},
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{
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@@ -254,13 +244,7 @@ def test_aggregate_stats():
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"std": [3.42, 2.42, 1.42],
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"count": 15,
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},
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"observation.state": {
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"min": 2,
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"max": 15,
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"mean": 8.5,
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"std": 3.42,
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"count": 15,
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},
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"observation.state": {"min": 2, "max": 15, "mean": 8.5, "std": 3.42, "count": 15},
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"extra_key_1": {"min": 0, "max": 20, "mean": 10, "std": 5, "count": 5},
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},
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]
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@@ -322,9 +306,6 @@ def test_aggregate_stats():
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np.testing.assert_allclose(results[fkey]["max"], expected_agg_stats[fkey]["max"])
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np.testing.assert_allclose(results[fkey]["mean"], expected_agg_stats[fkey]["mean"])
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np.testing.assert_allclose(
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results[fkey]["std"],
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expected_agg_stats[fkey]["std"],
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atol=1e-04,
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rtol=1e-04,
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results[fkey]["std"], expected_agg_stats[fkey]["std"], atol=1e-04, rtol=1e-04
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)
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np.testing.assert_allclose(results[fkey]["count"], expected_agg_stats[fkey]["count"])
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