Can Gymnasium be used on the aarch64 architecture?

[zhoujingyu13687306871]

Question

I ran pip install "gymnasium[all]" on an aarch64 computer, and the installation seemed to go smoothly. However, when I ran pip list to check the installed modules, I noticed that the result seemed off.
`(gymnasium0.29.1_py39) [scx6001@paraai-n32-h-01-ccs-master-1 gym]$ pip list
Package Version

---

gymnasium 0.0.1
pip 24.0
setuptools 69.5.1
wheel 0.43.0
In contrast, I get a completely different result when running the same command on an x86 machine. Does this mean that Gymnasium currently does not support the aarch64 architecture? Is there a solution to this issue?(gymnasium0.29.1_py39) [scz0002@ln01 ~]$ pip list
Package Version

---

absl-py 2.1.0
ale-py 0.8.1
box2d-py 2.3.5
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
cloudpickle 3.0.0
contourpy 1.2.1
cycler 0.12.1
Cython 0.29.37
decorator 4.4.2
etils 1.5.2
Farama-Notifications 0.0.4
fasteners 0.19
filelock 3.13.4
fonttools 4.51.0
fsspec 2024.3.1
glfw 2.7.0
gymnasium 0.29.1
idna 3.7
imageio 2.34.0
imageio-ffmpeg 0.4.9
importlib_metadata 7.1.0
importlib_resources 6.4.0
jax 0.4.26
jaxlib 0.4.26
Jinja2 3.1.3
kiwisolver 1.4.5
lz4 4.3.3
MarkupSafe 2.1.5
matplotlib 3.8.4
ml-dtypes 0.4.0
moviepy 1.0.3
mpmath 1.3.0
mujoco 3.1.4
mujoco-py 2.1.2.14
networkx 3.2.1
numpy 1.26.4
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu12 2.19.3
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.1.105
opencv-python 4.9.0.80
opt-einsum 3.3.0
packaging 24.0
pillow 10.3.0
pip 23.3.1
proglog 0.1.10
pycparser 2.22
pygame 2.5.2
PyOpenGL 3.1.7
pyparsing 3.1.2
python-dateutil 2.9.0.post0
requests 2.31.0
scipy 1.13.0
setuptools 68.2.2
Shimmy 0.2.1
six 1.16.0
swig 4.2.1
sympy 1.12
torch 2.2.2
tqdm 4.66.2
triton 2.2.0
typing_extensions 4.11.0
urllib3 2.2.1
wheel 0.41.2
zipp 3.18.1
`

[Kallinteris-Andreas]

From my testing With my phone (aarch V8) the core api works fine, but not all environmnets May work since they rely on third party libraries (mujoco worked fine)

Also there are users with apple macs running gymnasium with no issues

As with your particular case, for some reason you appear to have installed gymnasium version 0.0.1

Try pip install gymnasium==1.0.0a1