chore: import upstream snapshot with attribution
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# Copyright 2025 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 sys
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import draccus
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import pytest
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# Importing lerobot_train eagerly pulls in lerobot.datasets, which needs the
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# `dataset` extra. The base CI tier runs without it, so skip the whole module there.
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pytest.importorskip("datasets", reason="datasets is required (install lerobot[dataset])")
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from lerobot.configs.train import TrainPipelineConfig # noqa: E402
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from lerobot.policies.act.configuration_act import (
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ACTConfig, # noqa: E402, F401 (registers --policy.type act)
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)
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from lerobot.scripts.lerobot_train import _remote_target_in_argv, train # noqa: E402
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def _set_argv(monkeypatch, *args):
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monkeypatch.setattr(sys, "argv", ["lerobot-train", *args])
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def test_remote_target_detected_space_separated(monkeypatch):
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_set_argv(monkeypatch, "--policy.type", "act", "--job.target", "a10g-small")
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assert _remote_target_in_argv() is True
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def test_remote_target_detected_equals(monkeypatch):
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_set_argv(monkeypatch, "--job.target=t4-small")
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assert _remote_target_in_argv() is True
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def test_local_string_is_not_remote(monkeypatch):
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_set_argv(monkeypatch, "--job.target", "local")
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assert _remote_target_in_argv() is False
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def test_no_target_is_not_remote(monkeypatch):
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_set_argv(monkeypatch, "--policy.type", "act")
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assert _remote_target_in_argv() is False
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def test_train_dispatches_to_submit_when_remote(monkeypatch):
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"""A remote --job.target short-circuits train() to the HF Jobs submitter."""
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import lerobot.scripts.lerobot_train as train_module
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captured = []
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monkeypatch.setattr(train_module, "submit_to_hf", lambda cfg: captured.append(cfg) or "submitted")
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cfg = draccus.parse(
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TrainPipelineConfig,
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args=["--dataset.repo_id", "u/d", "--policy.type", "act", "--job.target", "a10g-small"],
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)
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# Returns the submitter's result and never enters the local training path.
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assert train(cfg) == "submitted"
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assert captured == [cfg]
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