Saran Tunyasuvunakool
230e2780de
The `launch_passive` function launches the GUI viewer in a non-blocking manner, allowing the Python script or REPL to continue execution. The viewer is automatically kept up to date with any subsequent modifications to mjModel and mjData. Note that when run inside a REPL (including IPython), `launch_passive` is functionally identical to `launch_repl`. On Linux and Windows, this is achieved by spawning a new thread and launching the GUI there. On macOS, this is not possible as all Cocoa API calls must be made on the "macOS main thread", which is always the first thread launched in a process and carries the `com.apple.main-thread` dispatch queue. We also cannot simply trampoline from a Python script on the main thread into the user's script on a side thread because CPython's signal handler can only be installed on the "Python main thread". Putting the user's script in a side thread means that it cannot e.g. gracefully handle SIGINT by catching a KeyboardInterrupt exception. To work around this, we ship a custom Python launcher on macOS called `mjpython`. This launcher is a native binary that spawns a pthread and initialize the Python interpreter on that thread, thus allowing "Python main thread" and "macOS main thread" to represent two distinct threads. From Python's point of view, the "macOS main thread" is a secondary thread that runs a loop that continuously empties a Queue of (mjModel, mjData) and launches a viewer. PiperOrigin-RevId: 517167868 Change-Id: Icac9d2126bbb4760d47e0b9300e0a979cffa4338
MuJoCo Python Bindings
This package is the canonical Python bindings for the MuJoCo physics engine. These bindings are developed and maintained by 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:
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.