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LeRobot's documentation build passes `--not_python_module`, which tells doc-builder there is no importable Python package and disables `[[autodoc]]` entirely. The result is that all 90+ pages are hand-written guides and there is no generated API reference at all. This is the machinery to change that. It deliberately contains no docstring changes of its own — every docstring edit lives in the follow-up PR, so this one can be reviewed as tooling and configuration alone. **The standard.** `docs/source/writing_docstrings.mdx` is the contract: Google section headers with Hugging Face type formatting, the machine-checked argument line, `**Attributes**:`, doc-builder cross-references, fenced doctest examples. It also records three behaviours that are not discoverable from the source and were verified against a local build: `[[autodoc]]` silently skips members with no docstring; doc-builder does not inherit docstrings from base classes, so a registered config shim whose body is `pass` renders every field with no description; and module-level aliases resolve to the canonical class. **Autodoc turned on**, with two changes that are not obvious: - `--version main` on the main-docs job. Without `--not_python_module`, doc-builder resolves the version from `lerobot.__version__` and only maps it to the default branch when it contains "dev". transformers relies on that; our main carries 0.6.2. Verified by building both ways — dropping the flag alone would publish the main docs to /lerobot/v0.6.2/ instead of /lerobot/main/ and disable notebook building. - `pre_command` on both jobs. doc-builder ships a mock-deps registry entry for lerobot, so the reusable workflow takes its light-install path, which cannot import the package. The heavy dependencies cannot be mocked either: draccus runs `register_subclass` at import time and `processor/converters.py` calls `functools.singledispatch.register(torch.Tensor)`, which needs a real class. `[dataset]` is the only extra required. Workflow triggers gain `src/**`, since the reference is now generated from docstrings. `docs/source/api/` is excluded from the prettier hook, which reads `[[autodoc]]` member lists as lazy paragraph continuations and joins a ten-entry list onto one line. Nine API reference pages, scaffolded with each module's base class. **Doctests.** `LeRobotDocTestParser` is mandatory rather than optional here: ruff's `docstring-code-format = true` drops the blank line before a closing fence, after which stdlib's `_EXAMPLE_RE` reads the fence as expected output and every example with output fails. It is written against the installed pytest rather than copied from transformers, whose version predates pytest 9's `import_path` signature and its own fix for the `@property` line-number bug. `preprocess_string` also diverges: the upstream fenced-block split puts a single-line example's code in a chunk with no `>>>` in it, so neither the CUDA skip nor the `+IGNORE_RESULT` injection fires for it. **Checkers.** `utils/check_docstrings.py` is the ~300-line core of the 2203-line transformers original; the `@auto_docstring` system, modular propagation, GitPython and `checkers.py` are not ported. `utils/check_config_docstrings.py` checks that every registered robot config documents its port and calibration semantics. **Gates**, all set to values that pass today: ruff `D` with per-file-ignores per unconverted module, `interrogate` at `fail-under = 52` against a measured 52.1%, and Makefile targets wired into the quality workflow. The doctest allowlist ships empty and the `doctest` target handles that, because the files carrying runnable examples arrive with the docstring PR. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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# Policies
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Every policy inherits [`PreTrainedPolicy`], which combines a `torch.nn.Module` with the Hub mixin, so any
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policy can be pushed to and loaded from the Hugging Face Hub with the same two calls.
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Each policy has its own guide with training recipes and results — [ACT](../act), [SmolVLA](../smolvla),
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[π₀](../pi0), [π₀.₅](../pi05) and the rest are listed under Policies. To add one, see
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[Adding a Policy](../bring_your_own_policies).
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## PreTrainedPolicy
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[[autodoc]] lerobot.policies.pretrained.PreTrainedPolicy
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## PreTrainedConfig
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[[autodoc]] lerobot.configs.PreTrainedConfig
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## make_policy
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[[autodoc]] lerobot.policies.factory.make_policy
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