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Support task replacement mappings in modify_tasks
Part of #2326. Signed-off-by: 陈伟 <woshei0a0a0a@qq.com>
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@@ -0,0 +1,83 @@
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#!/usr/bin/env python
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# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import numpy as np
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import pytest
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from lerobot.datasets.lerobot_dataset import LeRobotDataset
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from lerobot.scripts.lerobot_edit_dataset import EditDatasetConfig, ModifyTasksConfig, handle_modify_tasks
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@pytest.fixture
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def sample_dataset(tmp_path, empty_lerobot_dataset_factory):
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features = {
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"action": {"dtype": "float32", "shape": (6,), "names": None},
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"observation.state": {"dtype": "float32", "shape": (4,), "names": None},
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"observation.images.top": {"dtype": "image", "shape": (224, 224, 3), "names": None},
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}
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dataset = empty_lerobot_dataset_factory(
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root=tmp_path / "test_dataset",
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features=features,
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)
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for ep_idx in range(5):
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for _ in range(10):
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frame = {
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"action": np.random.randn(6).astype(np.float32),
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"observation.state": np.random.randn(4).astype(np.float32),
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"observation.images.top": np.random.randint(0, 255, size=(224, 224, 3), dtype=np.uint8),
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"task": f"task_{ep_idx % 2}",
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}
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dataset.add_frame(frame)
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dataset.save_episode()
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dataset.finalize()
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return dataset
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def test_handle_modify_tasks_with_replacements(sample_dataset):
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cfg = EditDatasetConfig(
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repo_id=sample_dataset.repo_id,
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root=str(sample_dataset.root),
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operation=ModifyTasksConfig(
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task_replacements={
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"task_0": "Pick the cube",
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"task_1": "Place the cube",
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}
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),
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)
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handle_modify_tasks(cfg)
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modified_dataset = LeRobotDataset(cfg.repo_id, root=sample_dataset.root)
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assert modified_dataset.meta.episodes[0]["tasks"][0] == "Pick the cube"
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assert modified_dataset.meta.episodes[1]["tasks"][0] == "Place the cube"
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assert len(modified_dataset.meta.tasks) == 2
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def test_handle_modify_tasks_rejects_default_task_and_replacements(sample_dataset):
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cfg = EditDatasetConfig(
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repo_id=sample_dataset.repo_id,
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root=str(sample_dataset.root),
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operation=ModifyTasksConfig(
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new_task="Default task",
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task_replacements={"task_0": "Pick the cube"},
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),
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)
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with pytest.raises(ValueError, match="Cannot combine new_task with task_replacements"):
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handle_modify_tasks(cfg)
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@@ -105,6 +105,23 @@ class TestOperationTypeParsing:
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resolved_name = OperationConfig.get_choice_name(type(cfg.operation))
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assert resolved_name == type_name
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def test_modify_tasks_replacements_args_parse(self):
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cfg = parse_cfg(
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[
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"--repo_id",
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"test/repo",
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"--operation.type",
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"modify_tasks",
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"--operation.task_replacements",
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'{"task_0": "pick cube", "task_1": "place cube"}',
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]
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)
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assert isinstance(cfg.operation, ModifyTasksConfig)
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assert cfg.operation.task_replacements == {
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"task_0": "pick cube",
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"task_1": "place cube",
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}
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class TestDepthEncoderParsing:
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"""Test that the depth encoder is exposed and parsed for video operations."""
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