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lerobot/pyproject.toml
T
Pepijn 5adad11128 feat(sim): VLABench benchmark integration (#3396)
feat(sim): add VLABench benchmark integration
Add VLABench as a new simulation benchmark in LeRobot, following the existing LIBERO and MetaWorld patterns.
This PR wires VLABench end-to-end across environment integration, Docker setup, CI smoke evaluation, and documentation. It also fixes a number of upstream packaging and runtime issues required to make VLABench usable and reproducible in CI.
What’s included
Benchmark integration
Add VLABench as a new simulation benchmark.
Expose supported VLABench tasks through the LeRobot env interface.
Follow the established LIBERO / MetaWorld factory patterns.
Preserve lazy async-env metadata so env.unwrapped.metadata["render_fps"] continues to work.
CI smoke evaluation
Add a VLABench smoke-eval job using lerobot/smolvla_vlabench.
Use the correct rename_map for the 3-camera dataset layout.
Expand smoke coverage from 1 to 10 primitive tasks.
Extract task descriptions after eval so metrics artifacts include per-task labels.
Skip Docker Hub login when secrets are unavailable (e.g. fork PRs).
Docker / install fixes
Install VLABench from GitHub rather than PyPI.
Use uv pip, not pip, in the base image.
Fail loudly on install errors instead of masking them.
Clone VLABench into the non-root user’s home directory.
Use shallow editable installs for VLABench and rrt-algorithms to work around missing __init__.py issues.
Pin upstream clones to exact commit SHAs for reproducibility.
Add undeclared runtime dependencies required by VLABench (open3d, colorlog, scikit-learn, openai).
Unpin open3d so Python 3.12 wheels resolve.
Assets
Support downloading VLABench assets from a Hugging Face Hub mirror via VLABENCH_ASSETS_REPO.
Keep Google Drive download support as fallback.
Install huggingface_hub[hf_xet] so Xet-backed assets download correctly.
Validate required mesh/XML asset subtrees at build time.
Patch VLABench constants to tolerate missing asset directories at import time.
Runtime / env correctness
Import VLABench robots and tasks explicitly so decorator-based registry population happens.
Resize and normalize camera observations so they always match the declared (H, W, 3) uint8 observation space.
Reinstall LeRobot editably inside the image so the new env code is actually used.
Coerce agent_pos / ee_state to the expected shape.
Pad actions when needed to match data.ctrl.
Replace zero-padding fallback with proper dm_control IK for 7D end-effector actions.
Refetch dm_control physics on each step instead of caching weakrefs.
Retry unstable resets with reseeding and handle PhysicsError gracefully at step time.
Dataset / policy alignment
Align VLABench observations and actions with Hugging Face dataset conventions used by lerobot/vlabench_unified:
convert EE position between world frame and robot-base frame at the env boundary,
expose / consume Euler XYZ instead of raw quaternion layout,
align gripper semantics with dataset convention (1 = open, 0 = closed).
This fixes policy/env mismatches that previously caused incorrect IK targets and unstable behavior at evaluation time.
Docs
Add a full docs/source/vlabench.mdx page aligned with the standard benchmark template.
Document task selection forms (single task, comma list, suite shortcut).
Document installation, evaluation, training, and result reproduction.
Point examples at lerobot/smolvla_vlabench.
Add a benchmark banner image.
Remove outdated / misleading references to upstream evaluation tracks.
Document manual install flow instead of a broken vlabench extra.
Packaging cleanup
Remove the unresolvable vlabench extra from pyproject.toml.
Remove the no-op VLABench processor step.
Remove the obsolete env unit test that only covered the dropped gripper remap helper.
Apply formatting / logging / style cleanup from review feedback.
Why this is needed
VLABench is not currently consumable as a normal Python dependency and requires several upstream workarounds:
no PyPI release,
missing package declarations,
undeclared runtime deps,
SSH-only submodule references,
asset downloads outside normal package install flow,
registry population that depends on import side effects,
env outputs that do not always match declared observation shapes,
task resets that can diverge under some random layouts.
This PR makes the benchmark usable in LeRobot despite those constraints, and ensures CI runs are reproducible and informative.
If you want a much shorter squash commit message, I’d use this:
feat(sim): integrate VLABench benchmark with CI, Docker, and docs
Add VLABench as a new LeRobot simulation benchmark, following the existing LIBERO / MetaWorld patterns.
This includes:
LeRobot env integration and task exposure,
CI smoke eval with lerobot/smolvla_vlabench,
Docker install and asset-download fixes,
runtime fixes for registry loading, assets, camera obs, action handling, dm_control IK, and PhysicsError recovery,
alignment of obs/action semantics with HF VLABench datasets,
docs and packaging cleanup.
The PR also incorporates review feedback, improves reproducibility by pinning upstream commits, and makes VLABench usable in CI despite upstream packaging and asset-management issues.
2026-04-21 17:54:11 +02:00

479 lines
17 KiB
TOML

# 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: vlabench is NOT exposed as a `lerobot` extra. Its only distribution
# is the OpenMOSS/VLABench GitHub repo (package name `VLABench`, no PyPI
# release), so any `vlabench>=X` pip spec is unresolvable. Install it
# manually alongside MuJoCo / dm-control — see docs/source/vlabench.mdx
# for the recipe.
# NOTE: robomme is NOT a pyproject extra — mani-skill hard-pins numpy<2
# which conflicts with lerobot's numpy>=2 base pin, so the two trees can't
# resolve into a single env. Install it only in the RoboMME Docker image
# via `uv pip install --override` (see docker/Dockerfile.benchmark.robomme).
# 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