Files
lerobot/pyproject.toml
T
Pepijn e699e52388 feat(envs): add RoboCasa365 benchmark integration (#3375)
* feat(envs): add RoboCasa365 benchmark integration

Add RoboCasa365 (arXiv:2603.04356) as a new simulation benchmark with
365 everyday kitchen manipulation tasks across 2,500 diverse environments.

New files:
- src/lerobot/envs/robocasa.py: gym.Env wrapper with deferred env creation,
  flat 12D action / 16D state vectors, 3-camera support
- docs/source/robocasa.mdx: user-facing documentation
- docker/Dockerfile.benchmark.robocasa: CI benchmark image

Modified files:
- src/lerobot/envs/configs.py: RoboCasaEnv config (--env.type=robocasa)
- pyproject.toml: robocasa optional dependency group
- docs/source/_toctree.yml: sidebar entry
- .github/workflows/benchmark_tests.yml: integration test job

Refs: https://arxiv.org/abs/2603.04356, https://robocasa.ai
Related: huggingface/lerobot#321

* fix(docker): use uv pip to install robocasa in benchmark image

The huggingface/lerobot-gpu base image uses `uv` with a venv at
/lerobot/.venv — `pip` is not on PATH, so `pip install` fails with
"pip: not found". Switch to `uv pip install` which installs into the
existing venv.

Also drop the @v1.0.0 tag pin from the robocasa git URL since the
upstream repo may not have that tag; use default branch instead.

* fix(robocasa): editable install + switch to lerobot/smolvla_robocasa

- pip install from git omits data files like box_links_assets.json
  (not declared in package_data). Clone and install editable so the
  source tree is used at runtime.
- Download only tex + fixtures_lw asset types (smoke test doesn't need
  objaverse/aigen objects). Pipe 'y' to auto-accept download prompt.
- Switch CI policy from pepijn223/smolvla_robocasa to lerobot/smolvla_robocasa.

* fix(docker): re-install lerobot editably after COPY

The nightly huggingface/lerobot-gpu image predates the RoboCasaEnv
registration — so `lerobot-eval --env.type=robocasa` fails at argparse
with "invalid choice" even after COPY . . overlays the new source.
Force an editable reinstall so the venv picks up the current configs.py.


* fix(ci): add rename_map for robocasa eval (image* -> camera*)

Policy lerobot/smolvla_robocasa expects observation.images.camera1/2/3,
but RoboCasaEnv produces observation.images.image/image2/image3.

* fix(robocasa): override RoboCasaGymEnv default split (test -> all)

RoboCasaGymEnv defaults split="test", but create_env only accepts
{None, "all", "pretrain", "target"}, so the out-of-the-box default
crashes with ValueError. Always pass "all" when split is None.


* fix(docker): also download objs_lw (lightwheel objects) for robocasa

Kitchen tasks (e.g. CloseFridge) reference lightwheel object meshes
like Stool022/model.xml. fixtures_lw alone isn't enough — we also
need objs_lw. Still skipping objaverse/aigen to keep image size down.

Made-with: Cursor

* feat(robocasa): raw camera names + benchmark-group task shortcuts

Align the LeRobot env with RoboCasa's native conventions so policies
trained on the upstream datasets don't need a --rename_map at eval
time, and expose the standard task groups as first-class --env.task
values.

- Preserve raw RoboCasa camera names (e.g. robot0_agentview_left)
  as observation.images.<name> end-to-end. Drops camera_name_mapping
  and DEFAULT_CAMERA_NAME_MAPPING; features/features_map are now
  built dynamically from the parsed camera list.
- Accept benchmark-group names as --env.task: atomic_seen,
  composite_seen, composite_unseen, pretrain50/100/200/300. Expanded
  lazily via robocasa.utils.dataset_registry and auto-sets the
  split ("target" | "pretrain").
- Update CI smoke-eval rename_map to map raw cam names to the
  camera1/2/3 keys expected by lerobot/smolvla_robocasa.


* docs(robocasa): single-task smolvla train+eval recipe on pepijn223/robocasa_CloseFridge

- Rewrite observation section to use raw RoboCasa camera keys
  (observation.images.robot0_agentview_{left,right},
  observation.images.robot0_eye_in_hand).
- Add a "Training on a single task" section with a full smolvla
  training command on pepijn223/robocasa_CloseFridge, plus matching
  single-task eval command.
- Document benchmark-group task shortcuts (atomic_seen, composite_seen,
  composite_unseen, pretrain50/100/200/300) as valid --env.task values.


* fix(robocasa): restrict obj_registries to lightwheel by default

CloseFridge (and most kitchen tasks) crashed at reset with
`ValueError: Probabilities contain NaN` coming out of
`sample_kitchen_object_helper`. RoboCasa's upstream default
`obj_registries=("objaverse", "lightwheel")` normalizes per-registry
candidate counts as probabilities; when a sampled category has zero
mjcf paths in every configured registry (because the objaverse asset
pack isn't on disk — ~30GB, skipped by our Docker build), the 0/0
divide yields NaNs and `rng.choice` raises.

- Add `obj_registries: list[str] = ["lightwheel"]` to `RoboCasaEnv`
  config; thread it through `create_robocasa_envs`, `_make_env_fns`,
  and the gym.Env wrapper to the underlying `RoboCasaGymEnv` (which
  forwards to `create_env` → `robosuite.make` → kitchen env).
- Default matches what `download_kitchen_assets --type objs_lw`
  actually ships, so the env works out of the box without a 30GB
  objaverse download.
- Document the override (`--env.obj_registries='[objaverse,lightwheel]'`)
  for users who have downloaded the full asset set.


* fix(docker): also download tex_generative for robocasa benchmark

RoboCasa's lightwheel kitchen fixtures embed references to
`generative_textures/wall/tex*.png` directly in their MuJoCo XML, so
`MjModel.from_xml_string` errors out at reset time with
"No such file or directory" even when the env is constructed with
`generative_textures=None`. The generative textures live under a
separate asset registry key (`tex_generative`) in
`download_kitchen_assets`, distinct from the base `tex` pack we were
already fetching.

- Add `tex_generative` to the download list so the fixture XMLs
  resolve.
- Document the remaining omissions (objaverse/aigen, ~30GB) and how
  the runtime side pairs this with obj_registries=["lightwheel"] to
  avoid sampling from categories whose assets aren't on disk.

* ci(robocasa): smoke-eval 10 atomic tasks instead of 1

Broader coverage in the benchmark CI job: evaluate SmolVLA on ten
fixture-centric atomic RoboCasa tasks (one episode each) instead of
just CloseFridge. The tasks are all drawn from TARGET_TASKS.atomic_seen
and selected to avoid object-manipulation categories that would require
the objaverse/aigen asset packs (we only ship objs_lw in the Docker
image, paired with obj_registries=["lightwheel"] on the runtime side).

Tasks: CloseFridge, OpenCabinet, OpenDrawer, TurnOnMicrowave,
TurnOffStove, CloseToasterOvenDoor, SlideDishwasherRack,
TurnOnSinkFaucet, NavigateKitchen, TurnOnElectricKettle.

`scripts/ci/parse_eval_metrics.py` already handles multi-task output
via the `overall` key, so no parser changes needed. Bumped the metrics
artifact's task label to `atomic_smoke_10` to reflect the grouping.

* fix(pyproject): drop unresolvable robocasa extra

robocasa's upstream setup.py hardcodes `lerobot==0.3.3` in
install_requires. Exposing it as the `lerobot[robocasa]` extra made
uv's dep resolver cycle: `lerobot[robocasa]` -> robocasa -> lerobot
(a different version) -> unsolvable. This broke every `uv sync` — even
invocations with an unrelated extra like `--extra test` — because uv
validates the whole lockfile graph.

- Remove the `robocasa` extra from pyproject.toml. Installation
  instructions in docs/source/robocasa.mdx now walk users through the
  manual `git clone` + `pip install --no-deps` flow, which matches
  what the Docker image already does and sidesteps the cyclic dep
  entirely.
- Dockerfile: `uv pip install -e ~/robocasa --no-deps` so the
  shadowed lerobot==0.3.3 never lands in the image; install
  robocasa's actual runtime deps (numpy, numba, scipy, mujoco,
  tianshou, etc.) explicitly.

* docs(robocasa): align page with adding_benchmarks template

Rework docs/source/robocasa.mdx to follow the standard benchmark doc
structure: intro + links + available tasks (with family breakdown and
first-class benchmark-group shortcuts) + installation + eval +
recommended episodes + policy I/O + training + reproducing results.

- Fix the paper link (was pointing at a non-existent arxiv ID).
- Surface lerobot/smolvla_robocasa and pepijn223/robocasa_CloseFridge
  in the top-of-page links so they're findable without reading the
  training section.
- Add an explicit "Object registries" subsection explaining the
  `--env.obj_registries=[objaverse,lightwheel]` override path.
- Add an explicit "Reproducing published results" section pointing
  at the CI smoke eval.

* fix: integrate PR #3375 review feedback

- envs(robocasa): hoist the duplicated `_parse_camera_names` helper
  out of `libero.py` and `robocasa.py` into `envs/utils.py` as the
  public `parse_camera_names`; call sites updated.
- envs(robocasa): give each factory a distinct `episode_index`
  (`0..n_envs-1`) and derive a per-worker seed series in `reset()`
  so n_envs workers don't all roll the same scene under a shared
  outer seed.
- envs(robocasa): drop the unused `**kwargs` on `_make_env`; declare
  `visualization_height` / `visualization_width` on both the wrapper
  and the `RoboCasaEnv` config + propagate via `gym_kwargs`.
- envs(robocasa): emit `info["final_info"]` on termination (matching
  MetaWorld) so downstream vector-env auto-reset keeps the terminal
  task/success flags.
- docs(robocasa): add `--rename_map` (robot0_agentview_left/
  eye_in_hand/agentview_right → camera1/2/3) plus CI-parity flags to
  all three eval snippets.
- docker(robocasa): pin robocasa + robosuite git SHAs and the pip
  dep versions (pygame, Pillow, opencv-python, pyyaml, pynput, tqdm,
  termcolor, imageio, h5py, lxml, hidapi, gymnasium) for
  reproducible benchmark images.
- ci(robocasa): update the workflow comment — there is no
  `lerobot[robocasa]` extra; robocasa/robosuite are installed
  manually because upstream's `lerobot==0.3.3` pin shadows ours.

* docs(robocasa): add benchmark banner image

* fix(envs): preserve AsyncVectorEnv metadata/unwrapped in lazy eval envs

Port of #3416 onto this branch. Also threads the cached metadata
through the RoboCasa factory so async eval on `--env.type=robocasa`
keeps the same improvement.


* fix: integrate PR #3375 review feedback (round 2)

- envs(robocasa): when the caller passes `seed=None` to `reset()`,
  fall back to `self.episode_index` for the inner env seed so each
  worker still samples a distinct trajectory instead of all workers
  inheriting the same global RNG state.
- envs(robocasa): replace the two module-level `print()` calls in
  `create_robocasa_envs` with `logger.info(...)` via a module-level
  `logger = logging.getLogger(__name__)`.
- ci(robocasa): run `scripts/ci/extract_task_descriptions.py` after
  the eval so `metrics.json` carries per-task natural-language
  labels, matching LIBERO / MetaWorld / VLABench jobs. Added a
  `_robocasa_descriptions()` extractor that splits CamelCase task
  names into word-level labels keyed by `<task>_0`.
2026-04-20 17:10:53 +02:00

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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project.urls]
homepage = "https://huggingface.co/lerobot"
documentation = "https://huggingface.co/docs/lerobot/index"
source = "https://github.com/huggingface/lerobot"
issues = "https://github.com/huggingface/lerobot/issues"
discord = "https://discord.gg/s3KuuzsPFb"
[project]
name = "lerobot"
version = "0.5.2"
description = "🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch"
dynamic = ["readme"]
license = { text = "Apache-2.0" }
requires-python = ">=3.12"
authors = [
{ name = "Rémi Cadène", email = "re.cadene@gmail.com" },
{ name = "Simon Alibert", email = "alibert.sim@gmail.com" },
{ name = "Alexander Soare", email = "alexander.soare159@gmail.com" },
{ name = "Quentin Gallouédec", email = "quentin.gallouedec@ec-lyon.fr" },
{ name = "Steven Palma", email = "imstevenpmwork@ieee.org" },
{ name = "Pepijn Kooijmans", email = "pepijnkooijmans@outlook.com"},
{ name = "Michel Aractingi", email = "michel.aractingi@gmail.com"},
{ name = "Adil Zouitine", email = "adilzouitinegm@gmail.com" },
{ name = "Dana Aubakirova", email = "danaaubakirova17@gmail.com"},
{ name = "Caroline Pascal", email = "caroline8.pascal@gmail.com"},
{ name = "Martino Russi", email = "nopyeps@gmail.com"},
{ name = "Thomas Wolf", email = "thomaswolfcontact@gmail.com" },
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Build Tools",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["lerobot", "huggingface", "robotics", "machine learning", "artificial intelligence"]
dependencies = [
# Core ML
"torch>=2.7,<2.11.0",
"torchvision>=0.22.0,<0.26.0",
"numpy>=2.0.0,<2.3.0", # NOTE: Explicitly listing numpy helps the resolver converge faster. Upper bound imposed by opencv-python-headless.
"opencv-python-headless>=4.9.0,<4.14.0",
"Pillow>=10.0.0,<13.0.0",
"einops>=0.8.0,<0.9.0",
# Config & Hub
"draccus==0.10.0", # TODO: Relax version constraint
"huggingface-hub>=1.0.0,<2.0.0",
"requests>=2.32.0,<3.0.0",
# Environments
# NOTE: gymnasium is used in lerobot.envs (lerobot-train, lerobot-eval), policies/factory,
# and robots/unitree. Moving it to an optional extra would require import guards across many
# tightly-coupled modules. Candidate for a future refactor to decouple envs from the core.
"gymnasium>=1.1.1,<2.0.0",
# Serialization & checkpointing
"safetensors>=0.4.3,<1.0.0",
# Lightweight utilities
"packaging>=24.2,<26.0",
"termcolor>=2.4.0,<4.0.0",
"tqdm>=4.66.0,<5.0.0",
# Build tools (required by opencv-python-headless on some platforms)
"cmake>=3.29.0.1,<4.2.0",
"setuptools>=71.0.0,<81.0.0",
]
# Optional dependencies
[project.optional-dependencies]
# ── Feature-scoped extras ──────────────────────────────────
dataset = [
"datasets>=4.0.0,<5.0.0",
"pandas>=2.0.0,<3.0.0", # NOTE: Transitive dependency of datasets
"pyarrow>=21.0.0,<30.0.0", # NOTE: Transitive dependency of datasets
"lerobot[av-dep]",
"torchcodec>=0.3.0,<0.11.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # NOTE: Windows support starts at version 0.7 (needs torch==2.8), ffmpeg>=8 support starts at version 0.8.1 (needs torch==2.9), system-wide ffmpeg support starts at version 0.10 (needs torch==2.10).
"jsonlines>=4.0.0,<5.0.0",
]
training = [
"lerobot[dataset]",
"accelerate>=1.10.0,<2.0.0",
"wandb>=0.24.0,<0.25.0",
]
hardware = [
"lerobot[pynput-dep]",
"lerobot[pyserial-dep]",
"lerobot[deepdiff-dep]",
]
viz = [
"rerun-sdk>=0.24.0,<0.27.0",
]
# ── User-facing composite extras (map to CLI scripts) ─────
# lerobot-record, lerobot-replay, lerobot-calibrate, lerobot-teleoperate, etc.
core_scripts = ["lerobot[dataset]", "lerobot[hardware]", "lerobot[viz]"]
# lerobot-eval -- base evaluation framework. You also need the policy's extra (e.g., lerobot[pi])
# and the environment's extra (e.g., lerobot[pusht]) if evaluating in simulation.
evaluation = ["lerobot[av-dep]"]
# lerobot-dataset-viz, lerobot-imgtransform-viz
dataset_viz = ["lerobot[dataset]", "lerobot[viz]"]
# Common
av-dep = ["av>=15.0.0,<16.0.0"]
pygame-dep = ["pygame>=2.5.1,<2.7.0"]
placo-dep = ["placo>=0.9.6,<0.9.17"]
transformers-dep = ["transformers==5.3.0"] # TODO(Steven): https://github.com/huggingface/lerobot/pull/3249
grpcio-dep = ["grpcio==1.73.1", "protobuf>=6.31.1,<6.32.0"]
can-dep = ["python-can>=4.2.0,<5.0.0"]
peft-dep = ["peft>=0.18.0,<1.0.0"]
scipy-dep = ["scipy>=1.14.0,<2.0.0"]
diffusers-dep = ["diffusers>=0.27.2,<0.36.0"]
qwen-vl-utils-dep = ["qwen-vl-utils>=0.0.11,<0.1.0"]
matplotlib-dep = ["matplotlib>=3.10.3,<4.0.0", "contourpy>=1.3.0,<2.0.0"] # NOTE: Explicitly listing contourpy helps the resolver converge faster.
pyserial-dep = ["pyserial>=3.5,<4.0"]
deepdiff-dep = ["deepdiff>=7.0.1,<9.0.0"]
pynput-dep = ["pynput>=1.7.8,<1.9.0"]
pyzmq-dep = ["pyzmq>=26.2.1,<28.0.0"]
# Motors
feetech = ["feetech-servo-sdk>=1.0.0,<2.0.0", "lerobot[pyserial-dep]", "lerobot[deepdiff-dep]"]
dynamixel = ["dynamixel-sdk>=3.7.31,<3.9.0", "lerobot[pyserial-dep]", "lerobot[deepdiff-dep]"]
damiao = ["lerobot[can-dep]"]
robstride = ["lerobot[can-dep]"]
# Robots
openarms = ["lerobot[damiao]"]
gamepad = ["lerobot[pygame-dep]", "hidapi>=0.14.0,<0.15.0"]
hopejr = ["lerobot[feetech]", "lerobot[pygame-dep]"]
lekiwi = ["lerobot[feetech]", "lerobot[pyzmq-dep]"]
unitree_g1 = [
# "unitree-sdk2==1.0.1",
"lerobot[pyzmq-dep]",
"lerobot[pyserial-dep]",
"onnxruntime>=1.16.0,<2.0.0",
"onnx>=1.16.0,<2.0.0",
"meshcat>=0.3.0,<0.4.0",
"lerobot[matplotlib-dep]",
"lerobot[pygame-dep]",
]
reachy2 = ["reachy2_sdk>=1.0.15,<1.1.0"]
kinematics = ["lerobot[placo-dep]"]
intelrealsense = [
"pyrealsense2>=2.55.1.6486,<2.57.0 ; sys_platform != 'darwin'",
"pyrealsense2-macosx>=2.54,<2.57.0 ; sys_platform == 'darwin'",
]
phone = ["hebi-py>=2.8.0,<2.12.0", "teleop>=0.1.0,<0.2.0", "fastapi<1.0", "lerobot[scipy-dep]"]
# Policies
diffusion = ["lerobot[diffusers-dep]"]
wallx = [
"lerobot[transformers-dep]",
"lerobot[peft-dep]",
"lerobot[scipy-dep]",
"torchdiffeq>=0.2.4,<0.3.0",
"lerobot[qwen-vl-utils-dep]",
]
pi = ["lerobot[transformers-dep]", "lerobot[scipy-dep]"]
smolvla = ["lerobot[transformers-dep]", "num2words>=0.5.14,<0.6.0", "accelerate>=1.7.0,<2.0.0"]
multi_task_dit = ["lerobot[transformers-dep]", "lerobot[diffusers-dep]"]
groot = [
"lerobot[transformers-dep]",
"lerobot[peft-dep]",
"lerobot[diffusers-dep]",
"dm-tree>=0.1.8,<1.0.0",
"timm>=1.0.0,<1.1.0",
"decord>=0.6.0,<1.0.0; (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
"ninja>=1.11.1,<2.0.0",
"flash-attn>=2.5.9,<3.0.0 ; sys_platform != 'darwin'"
]
sarm = ["lerobot[transformers-dep]", "pydantic>=2.0.0,<3.0.0", "faker>=33.0.0,<35.0.0", "lerobot[matplotlib-dep]", "lerobot[qwen-vl-utils-dep]"]
xvla = ["lerobot[transformers-dep]"]
hilserl = ["lerobot[transformers-dep]", "gym-hil>=0.1.13,<0.2.0", "lerobot[grpcio-dep]", "lerobot[placo-dep]"]
# Features
async = ["lerobot[grpcio-dep]", "lerobot[matplotlib-dep]"]
peft = ["lerobot[transformers-dep]", "lerobot[peft-dep]"]
# Development
dev = ["pre-commit>=3.7.0,<5.0.0", "debugpy>=1.8.1,<1.9.0", "lerobot[grpcio-dep]", "grpcio-tools==1.73.1", "mypy>=1.19.1", "ruff>=0.14.1", "lerobot[notebook]"]
notebook = ["jupyter>=1.0.0,<2.0.0", "ipykernel>=6.0.0,<7.0.0"]
test = ["pytest>=8.1.0,<9.0.0", "pytest-timeout>=2.4.0,<3.0.0", "pytest-cov>=5.0.0,<8.0.0", "mock-serial>=0.0.1,<0.1.0 ; sys_platform != 'win32'"]
video_benchmark = ["scikit-image>=0.23.2,<0.26.0", "pandas>=2.2.2,<2.4.0"]
# Simulation
# NOTE: Explicitly listing scipy helps flatten the dependecy tree.
aloha = ["lerobot[dataset]", "gym-aloha>=0.1.2,<0.2.0", "lerobot[scipy-dep]"]
pusht = ["lerobot[dataset]", "gym-pusht>=0.1.5,<0.2.0", "pymunk>=6.6.0,<7.0.0"] # TODO: Fix pymunk version in gym-pusht instead
libero = ["lerobot[dataset]", "lerobot[transformers-dep]", "hf-libero>=0.1.3,<0.2.0; sys_platform == 'linux'", "lerobot[scipy-dep]"]
metaworld = ["lerobot[dataset]", "metaworld==3.0.0", "lerobot[scipy-dep]"]
# NOTE: robocasa is NOT exposed as a `lerobot` extra. Its setup.py pins
# `lerobot==0.3.3` in install_requires, which cyclically shadows our own
# workspace `lerobot` and makes the graph unsolvable under any resolver
# (uv, pip). Install it manually alongside robosuite — see
# docs/source/robocasa.mdx for the recipe.
# All
all = [
# Feature-scoped extras
"lerobot[dataset]",
"lerobot[training]",
"lerobot[hardware]",
"lerobot[viz]",
# NOTE(resolver hint): scipy is pulled in transitively via lerobot[scipy-dep] through
# multiple extras (aloha, metaworld, pi, wallx, phone). Listing it explicitly
# helps pip's resolver converge by constraining scipy early, before it encounters
# the loose scipy requirements from transitive deps like dm-control and metaworld.
"scipy>=1.14.0,<2.0.0",
"lerobot[dynamixel]",
"lerobot[feetech]",
"lerobot[damiao]",
"lerobot[robstride]",
"lerobot[gamepad]",
"lerobot[hopejr]",
"lerobot[lekiwi]",
"lerobot[openarms]",
"lerobot[reachy2]",
"lerobot[kinematics]",
"lerobot[intelrealsense]",
"lerobot[diffusion]",
"lerobot[multi_task_dit]",
"lerobot[wallx]",
"lerobot[pi]",
"lerobot[smolvla]",
# "lerobot[groot]", TODO(Steven): Gr00t requires specific installation instructions for flash-attn
"lerobot[xvla]",
"lerobot[hilserl]",
"lerobot[async]",
"lerobot[dev]",
"lerobot[test]",
"lerobot[video_benchmark]",
"lerobot[aloha]",
"lerobot[pusht]",
"lerobot[phone]",
"lerobot[libero]; sys_platform == 'linux'",
"lerobot[metaworld]",
"lerobot[sarm]",
"lerobot[peft]",
# "lerobot[unitree_g1]", TODO: Unitree requires specific installation instructions for unitree_sdk2
]
[project.scripts]
lerobot-calibrate="lerobot.scripts.lerobot_calibrate:main"
lerobot-find-cameras="lerobot.scripts.lerobot_find_cameras:main"
lerobot-find-port="lerobot.scripts.lerobot_find_port:main"
lerobot-record="lerobot.scripts.lerobot_record:main"
lerobot-replay="lerobot.scripts.lerobot_replay:main"
lerobot-setup-motors="lerobot.scripts.lerobot_setup_motors:main"
lerobot-teleoperate="lerobot.scripts.lerobot_teleoperate:main"
lerobot-eval="lerobot.scripts.lerobot_eval:main"
lerobot-train="lerobot.scripts.lerobot_train:main"
lerobot-train-tokenizer="lerobot.scripts.lerobot_train_tokenizer:main"
lerobot-dataset-viz="lerobot.scripts.lerobot_dataset_viz:main"
lerobot-info="lerobot.scripts.lerobot_info:main"
lerobot-find-joint-limits="lerobot.scripts.lerobot_find_joint_limits:main"
lerobot-imgtransform-viz="lerobot.scripts.lerobot_imgtransform_viz:main"
lerobot-edit-dataset="lerobot.scripts.lerobot_edit_dataset:main"
lerobot-setup-can="lerobot.scripts.lerobot_setup_can:main"
# ---------------- Tool Configurations ----------------
[tool.setuptools.package-data]
lerobot = ["envs/*.json"]
[tool.setuptools.packages.find]
where = ["src"]
[tool.ruff]
target-version = "py312"
line-length = 110
exclude = ["tests/artifacts/**/*.safetensors", "*_pb2.py", "*_pb2_grpc.py"]
[tool.ruff.lint]
# E, W: pycodestyle errors and warnings
# F: PyFlakes
# I: isort
# UP: pyupgrade
# B: flake8-bugbear (good practices, potential bugs)
# C4: flake8-comprehensions (more concise comprehensions)
# A: flake8-builtins (shadowing builtins)
# SIM: flake8-simplify
# RUF: Ruff-specific rules
# D: pydocstyle (for docstring style/formatting)
# S: flake8-bandit (some security checks, complements Bandit)
# T20: flake8-print (discourage print statements in production code)
# N: pep8-naming
# TODO: Uncomment rules when ready to use
select = [
"E", "W", "F", "I", "B", "C4", "T20", "N", "UP", "SIM" #, "A", "S", "D", "RUF"
]
ignore = [
"E501", # Line too long
"T201", # Print statement found
"T203", # Pprint statement found
"B008", # Perform function call in argument defaults
]
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401", "F403", "E402"]
# E402: conditional-import guards (TYPE_CHECKING / is_package_available) must precede the imports they protect
"src/lerobot/scripts/convert_dataset_v21_to_v30.py" = ["E402"]
"src/lerobot/policies/wall_x/**" = ["N801", "N812", "SIM102", "SIM108", "SIM210", "SIM211", "B006", "B007", "SIM118"] # Supprese these as they are coming from original Qwen2_5_vl code TODO(pepijn): refactor original
[tool.ruff.lint.isort]
combine-as-imports = true
known-first-party = ["lerobot"]
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
skip-magic-trailing-comma = false
line-ending = "auto"
docstring-code-format = true
[tool.bandit]
exclude_dirs = [
"tests",
"benchmarks",
"src/lerobot/datasets/push_dataset_to_hub",
]
skips = ["B101", "B311", "B404", "B603", "B615"]
[tool.typos]
default.extend-ignore-re = [
"(?Rm)^.*(#|//)\\s*spellchecker:disable-line$", # spellchecker:disable-line
"(?s)(#|//)\\s*spellchecker:off.*?\\n\\s*(#|//)\\s*spellchecker:on", # spellchecker:<on|off>
]
default.extend-ignore-identifiers-re = [
# Add individual words here to ignore them
"2nd",
"pn",
"ser",
"ein",
"thw",
"inpt",
"ROBOTIS",
"OT_VALUE"
]
# TODO: Uncomment when ready to use
# [tool.interrogate]
# ignore-init-module = true
# ignore-init-method = true
# ignore-nested-functions = false
# ignore-magic = false
# ignore-semiprivate = false
# ignore-private = false
# ignore-property-decorators = false
# ignore-module = false
# ignore-setters = false
# fail-under = 80
# output-format = "term-missing"
# color = true
# paths = ["src/lerobot"]
# TODO: Enable mypy gradually module by module across multiple PRs
# Uncomment [tool.mypy] first, then uncomment individual module overrides as they get proper type annotations
[tool.mypy]
python_version = "3.12"
ignore_missing_imports = true
follow_imports = "skip"
# warn_return_any = true
# warn_unused_configs = true
# strict = true
# disallow_untyped_defs = true
# disallow_incomplete_defs = true
# check_untyped_defs = true
[[tool.mypy.overrides]]
module = "lerobot.*"
ignore_errors = true
[[tool.mypy.overrides]]
module = "lerobot.envs.*"
ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.utils.*"
# ignore_errors = false
[[tool.mypy.overrides]]
module = "lerobot.configs.*"
ignore_errors = false
# extra strictness for configs
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
[[tool.mypy.overrides]]
module = "lerobot.optim.*"
ignore_errors = false
[[tool.mypy.overrides]]
module = "lerobot.model.*"
ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.processor.*"
# ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.datasets.*"
# ignore_errors = false
[[tool.mypy.overrides]]
module = "lerobot.cameras.*"
ignore_errors = false
[[tool.mypy.overrides]]
module = "lerobot.motors.*"
ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.robots.*"
# ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.teleoperators.*"
# ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.policies.*"
# ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.rl.*"
# ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.async_inference.*"
# ignore_errors = false
[[tool.mypy.overrides]]
module = "lerobot.transport.*"
ignore_errors = false
# [[tool.mypy.overrides]]
# module = "lerobot.scripts.*"
# ignore_errors = false