gpuastar-experiments
gpuastar-experiments contains the domain and experiment code that is kept out of the base gpuastar package:
- Example domains in src/gpuastar_experiments/environments/: Rubik's Cube (
cube3), sliding tile puzzles (puzzle15,puzzle24,puzzle35,puzzle48), Lights Out (lightsout7), and Sokoban (sokoban), together with their tensor-based adapters. - Test datasets and trained model checkpoints in
src/gpuastar_experiments/data/andsrc/gpuastar_experiments/saved_models/. - Hydra default overlays in src/gpuastar_experiments/configs/hydra/command_defaults/, made visible to the
gpuastarCLI by the search-path plugin in src/hydra_plugins/gpuastar_experiments_searchpath.py. With this package installed,command=astar_searchandcommand=aoti_exportreceive Rubik's Cube example defaults for the environment, dataset, model, and results paths. - The experiment suite in src/gpuastar_experiments/experiments/, driven by the
gpuastar-experimentconsole script and the presets inexperiments/conf/experiment/. The shell wrappers in scripts/ call the presets. - Benchmark runners: the standalone CUDA solver examples in
src/gpuastar_experiments/program/. - Compiled example domains for the C++ solver in cpp/, packaged separately as
gpuastar-experiments-cpp.
Installation
python -m pip install "gpuastar[experiments]"
The CUDA examples also require the CUDA solver:
python -m pip install "gpuastar[cu,experiments]"
Running from a source checkout
The Pixi environments defined at the repository root include this package. Two examples:
CUDA_VISIBLE_DEVICES=1 pixi run -e cu-experiments cu-example-program
CUDA_VISIBLE_DEVICES=1 pixi run -e cu-experiments cu-cube3-smoke
To run an experiment preset:
pixi run -e dev gpuastar-experiment experiment=quick_validation
The available presets and the output layout are documented in the repository README and in docs/benchmarks.md.
Metadata
Release files for gpuastar-experiments 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gpuastar_experiments-0.1.0.tar.gz | 55.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gpuastar_experiments-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 110.4 MB
Release files / gpuastar_experiments-0.1.0.tar.gz
| Download URL | gpuastar_experiments-0.1.0.tar.gz |
|---|---|
| Size | 55.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c0c2b61e9359fd153e769a71134cbe8c2ed33d57bf110b96f3aa499589292716
|
|
BLAKE2b-256 checksum How to use checksums |
8e2a30742fcd237296b4053e4fad64bd334cec3e03f5c7f6f6fd916e9d09ac84
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 5, 2026.
Transparency logRelease files / gpuastar_experiments-0.1.0-py3-none-any.whl
| Download URL | gpuastar_experiments-0.1.0-py3-none-any.whl |
|---|---|
| Size | 55.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3d598649f1f3e703e98e03f35cbbbfc0a5321755f24258523c959b18a9af8c08
|
|
BLAKE2b-256 checksum How to use checksums |
5950c295c68ac79ee638e198c09aa4db499084bbd55b16aabd3f6e45dd5d3b52
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 5, 2026.
Transparency log