Files
Mujoco_WASM/python
Yuval Tassa 5e99ca6cb8 Table-driven attribute writing: rebase the writer on the shared rows.
The writer consumes the same generated rows as the reader.
mjXWriter::WriteAttrTable drives the mechanical attributes of an
element from its mjXAttr rows: each bound field is compared against
the class default at the same offset -- the default object is the same
struct type, so the rows carry no comparison values -- and attributes
equal to their default are skipped. A null default object means the
element has no defaults, and every defined value is written.
Ranged-arity rows write with trailing-default trimming, which the
reader makes round-trip exact by refilling from the same default.
Call sites upcast to the private mjs base (the friend declarations
permit it; mjCMesh gains the friendship its siblings had); the
comparison object is def->X().spec, a freshly-defaulted struct for
the sections, or zero-initialized for size, whose spec defaults (-1,
auto) are resolved by compilation.

Converted: pair, geom, site, joint, camera, light, material, the
equality family, both tendon types (the fixed rows are the spatial
rows without appearance attributes -- exactly the tag difference), the
actuator, flex with its three sub-elements, mesh, skin, option, the
six visual sub-sections, statistic and size. The remnants keep names,
files, resolved reference strings (the mjC classes null their private
base's string pointers; resolved names live behind accessors), and the
writing=custom policies the schema declares: compile directives never
saved (fromto, springdamper, fitscale), type-dependent lengths and
attributes (sizes, joint pos/axis/limited, shellinertia), and
alternatives (mass/density, fovy-versus-intrinsics, the plugin-gated
gain/bias family). Compiler keeps its write-if-nonzero policy;
keyframe keeps its model-sized vectors.

Saved files are canonical: attributes follow schema declaration order
with remnants trailing, and sections follow the schema's dependency
order (statistic before visual, deformable before the contact and
equality sections that name flexes, tendon before the equality
constraints that name tendons, custom demoted to the data tail).
Uniform behavior fixes fall out: default-equal positionals are
dropped, dynprm is trimmed like every other ranged vector, and mesh
material -- read into the spec but never written -- now survives
save/load round trips. Changelog entries ride along.

Verified: full suite, doc_test, and the two-tier A/B harness --
saved XML reorders attributes, and every corpus model reloads to a
byte-identical binary.
PiperOrigin-RevId: 958255003
Change-Id: I5fe7346014450db88b2f3f8680a8f616f7d31266
2026-08-03 02:27:22 -07:00
..
2024-07-01 12:05:50 -07:00

MuJoCo Python Bindings

PyPI Python Version PyPI version

This package is the canonical Python bindings for the MuJoCo physics engine. These bindings are developed and maintained by Google DeepMind, and is kept up-to-date with the latest developments in MuJoCo itself.

The mujoco package provides direct access to raw MuJoCo C API functions, structs, constants, and enumerations. Structs are provided as Python classes, with Pythonic initialization and deletion semantics.

It is not the aim of this package to provide fully fledged scene/environment/game authoring API, as there are already a number of existing packages that do this well. However, this package does provide a number of lower-level components outside of MuJoCo itself that are likely to be useful to most users who access MuJoCo through Python. For example, the egl, glfw, and osmesa subpackages contain utilities for setting up OpenGL rendering contexts.

Installation

The recommended way to install this package is via PyPI:

pip install mujoco

A copy of the MuJoCo library is provided as part of the package and does not need to be downloaded or installed separately.

Source

IMPORTANT: Building from source is only necessary if you are modifying the Python bindings (or are trying to run on exceptionally old Linux systems). If that's not the case, then we recommend installing the prebuilt binaries from PyPI.

If you need to build the Python bindings from source, please consult the documentation.

Usage

Once installed, the package can be imported via import mujoco. Please consult our documentation for further detail on the package's API.

We recommend going through the tutorial notebook which covers the basics of MuJoCo using Python: Open In Colab

Versioning

The major.minor.micro portion of the version number matches the version of MuJoCo that the bindings provide. Optionally, if we release updates to the Python bindings themselves that target the same version of MuJoCo, a .postN suffix is added, for example 2.1.2.post2 represents the second update to the bindings for MuJoCo 2.1.2.

License and Disclaimer

Copyright 2022 DeepMind Technologies Limited

MuJoCo and its Python bindings are licensed under the Apache License, Version 2.0. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0.

This is not an officially supported Google product.