The fast test env installs base deps only, so require_package('datasets')
raised ImportError before the mocked lerobot.datasets import was reached.
Monkeypatch the guard to a no-op so the unit test exercises the upload logic.
Resolve the local dataset cache via lerobot.utils.constants.HF_LEROBOT_HOME
instead of re-reading the env var by hand, dropping the os/Path imports.
Tests now patch the imported constant and assert on a stable message
substring (the previous "neither" match only passed by accident, matching
the test name embedded in the pytest tmp_path).
Replace the dataset_info try/except RepositoryNotFoundError dance with a
direct api.repo_exists(repo_id, repo_type="dataset") call, dropping the
httpx/RepositoryNotFoundError test scaffolding.
When --job.target names a GPU flavor, train() dispatches to lerobot.jobs.submit_to_hf
instead of training locally: it authenticates, ensures the dataset is on the Hub
(pushing a local-only one privately), serializes a pod-compatible train_config.json
(strips client-only fields, points at the model repo), submits via HfApi.run_job
with HF_TOKEN/WANDB_API_KEY secrets, then streams logs and finishes when the model
is pushed. Wires push_checkpoint_to_hub into the training loop behind
save_checkpoint_to_hub, and tags jobs/datasets/model with 'lerobot' + --job.tags.
Nicolas Rabault