According to `man dyld`, the default value for DYLD_FALLBACK_LIBRARY_PATH changed in late 2023. In newer binaries, if DYLD_FALLBACK_LIBRARY_PATH is not set, dyld will use /usr/local/lib and /usr/lib as fallback. If it is set, these locations will not be used as lookup paths unless explicitly added.
Fixes#2781
PiperOrigin-RevId: 791897707
Change-Id: I00d7e80bfbd5e5d7dbf2f601eaad4d9b0e1030f3
Python 3.7 reaches end-of-life on 27 June 2023 (https://devguide.python.org/versions/), and future versions of MuJoCo (after 2.3.6) will no longer support it.
PiperOrigin-RevId: 543594006
Change-Id: I66a7db3dab5d08f2fc52912c43e1532080600fc8
Going forward, the version number at head will be kept one ahead of the latest released version. The rationale behind this change is so that it is clear that the source code at head is more recent.
PiperOrigin-RevId: 527687981
Change-Id: I7982ecd0b99ad70dccec6a8ffe86629754558bda
This change also requires user scripts to explicitly synchronize changes to physics state to the viewer. The Simulate class was reconfigured so that certain UI events are handled during this sync operation, outside of the render loop on the main thread. These correspond to operations that require access to the full mjModel/mjData.
To support other, more interactive operations (e.g. camera movements), a new mjvSceneState struct is introduced which captures only the portion of the physics state required for scene re-rendering. The mjvSceneState is updated from mjModel/mjData during the viewer sync operation, and is significantly cheaper than a full mj_copyModel and mj_copyData.
Fixes https://github.com/deepmind/mujoco/issues/796
PiperOrigin-RevId: 525723636
Change-Id: Id08d0210a2c067d5afe85e2bf104f276aeddd75e
- Find Python functions in the interpreter binary itself rather than trying to find libpython.dylib, because this doesn't exist when using Conda. (https://github.com/conda-forge/python-feedstock/issues/595#issuecomment-1311275470)
- Increase the stack size of both the Python main thread and the OS main thread to 16MiB, to match what Python normally uses on macOS. (https://github.com/python/cpython/blob/3.11/configure#L11038)
- Check whether dlfcn and pthread function calls actually succeeds. Emit error messages and exit on failure rather than continuing the program (which generally leads to segfaults).
- Fix pixelated shadow in the icon.
PiperOrigin-RevId: 517390522
Change-Id: Ib91679b4baa63bac5f6b5893e634712d72161ea5
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
Gabe Oppenheimer