Correct argument types for timeconst and range parameters in pybind11
python bindings from C arrays to std::array.
Fixes#3282, #3282, #3318
Thanks to @Abzaek for original PRs
PiperOrigin-RevId: 932423401
Change-Id: Ic30ba076913693f5c0e545789690e8b0fa444390
Allows other files (e.g. mjrfilament) to define functions that
will be added to the introspection output.
PiperOrigin-RevId: 932403177
Change-Id: Ie2d2c6be67f0706463fdec4fc498364125e05dad
- Move SimToView and ViewToSim dataclasses from async.py to viewer_protocol.py (adding a user_data field) to consolidate IPC protocol definitions.
- Remove the simulated Network class and latency UI controls from async.py to simplify the example and focus on core multiprocessing communication.
- Use parser.parse() in main() for cleaner and more direct MuJoCo model loading.
- Add cancel_join_thread() to multiprocessing queues and a join timeout to prevent atexit handlers from blocking during process shutdown.
PiperOrigin-RevId: 932327625
Change-Id: If91777dba934814b3f9faa17f9055869920575d7
Widen mju_error_msg buffer from 1024 to 2048 and replace strncpy with
snprintf to avoid -Wformat-truncation and -Wstringop-truncation.
PiperOrigin-RevId: 930982013
Change-Id: I0fcd726e5ed1ad28594bd4ef55b8b1ae72020043
This change adds py::gil_scoped_release to various functions in the parser, renderer, sim and ux modules of the MuJoCo Studio Python bindings. This allows other Python threads to execute while these C++ functions, which can sometimes be time-consuming, are running. The two heaviest operations Present() (rendering) and Advance() (physics) now both release the GIL in C++.
PiperOrigin-RevId: 930645361
Change-Id: Ib239fb54edc7ac0d8b1d94bec8c57a447d5f4d27
Adds py::gil_scoped_release no_gil; to mujoco::studio::Viewer methods to release the Python GIL during C++ execution.
PiperOrigin-RevId: 930482271
Change-Id: I590794109418516ec5d9e8b536085560a1d36314
When an mjpResourceProvider's open callback returns 0 (failure), MuJoCo does
not invoke the corresponding close callback. Previously, several resource
provider implementations allocated heap memory or system file handles before
encountering an error, failing to clean them up before returning 0. This change addresses these leaks across the codebase and clarifies the API contract.
PiperOrigin-RevId: 929803942
Change-Id: Ib7344033726895cdf037a8d9356ffc183c78c2d3
- Update rollout.py to use mujoco.MJTNUM_DTYPE instead of np.float64.
- Update rollout_test.py to use DTYPE for all state/control/sensor arrays to avoid copies and type mismatches.
PiperOrigin-RevId: 928539946
Change-Id: Iee2250c049de799cb0e23ffe5558fe6eea8b3fd8
mujoco.minimize.least_squares now supports x_scale natively, so the
sysid wrapper becomes a thin pass-through. 'jac' is adaptive per
iteration (was static at x0).
This change allows users to provide an optional `step_fn` callable to `StudioApp.update` and `StudioApp.update_from_viewer`. When provided, this function is called to advance the physics simulation instead of the default `step_control.advance`.
PiperOrigin-RevId: 925439890
Change-Id: Ia833503f6dd0c22fb8d75af6c5f06757496853e5
The StepControl::Advance method now accepts an optional std::function to be used instead of mj_step. This allows for custom simulation logic to be executed within the stepping loop. The Python bindings for StepControl::advance have been updated to support passing a Python callable as the custom step function.
PiperOrigin-RevId: 925393132
Change-Id: Id2820c4b55cbdfee6b01adc2395e99a990d4e7a3
Following the export declarations in Dear ImGui and ImPlot METADATA, this change updates MuJoCo's Copybara configuration (copy.bara.sky) to export and transform the Python bindings. `//third_party/dear_imgui/google/py` exports to `python/mujoco/experimental/dear_imgui` and `//third_party/implot/google/py` exports to `python/mujoco/experimental/implot`.
PiperOrigin-RevId: 925293624
Change-Id: Ie6e32d247a6f7fc24bb36ae7060f2075d8efeb26
The field now stores either an approximate or exact diagonal of the constraint matrix A, so the name is made more general.
PiperOrigin-RevId: 924244954
Change-Id: I62b2f76531fb88b7b3bf96e6769940197596702b
Per-parameter scaling via change of variables z = x / D. Supports
'jac' (adaptive D_i = 1/||J(:,i)|| per iteration, matches scipy's TRF),
explicit array, or a positive scalar. Default 1.0 is a no-op.
Kevin Zakka