Slow Sampling Times in The Hssm Model on the Windows Machine

[AisOmar]

The user reported an issue with slow sampling times in their hssm model on the windows machine, where the operation was taking much longer than expected with the following warning messages, despite the model supposedly being capable of running a sample in a matter of seconds.

WARNING (pytensor.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`
WARNING (pytensor.configdefaults): g++ not detected!  PyTensor will be unable to compile C-implementations and will default to Python. Performance may be severely degraded. To remove this warning, set PyTensor flags cxx to an empty string.
WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
Downloading ddm.onnx: 100%
85.1k/85.1k [00:00<00:00, 534kB/s]
[c:\Users\domma\AppData\Local\Programs\Python\Python311\Lib\site-packages\huggingface_hub\file_download.py:133](file:///C:/Users/domma/AppData/Local/Programs/Python/Python311/Lib/site-packages/huggingface_hub/file_download.py:133): UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in [C:\Users\domma\.cache\huggingface\hub.](file:///C:/Users/domma/.cache/huggingface/hub.) Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
  warnings.warn(message)
Auto-assigning NUTS sampler...
INFO:pymc.sampling.mcmc:Auto-assigning NUTS sampler...
Initializing NUTS using jitter+adapt_diag...
INFO:pymc.sampling.mcmc:Initializing NUTS using jitter+adapt_diag...
WARNING:jax._src.xla_bridge:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)
Multiprocess sampling (4 chains in 4 jobs)
INFO:pymc.sampling.mcmc:Multiprocess sampling (4 chains in 4 jobs)
NUTS: [a, z, t, v_Intercept, v_theta, v_1|subj_idx_sigma, v_1|subj_idx_offset]
INFO:pymc.sampling.mcmc:NUTS: [a, z, t, v_Intercept, v_theta, v_1|subj_idx_sigma, v_1|subj_idx_offset]

Possible Solutions:
Step 1. install g++
Step 2: Reinstall HSSM in the user's virtual environment, now that g++ was installed.
Step 3: If the user was running the code on VSCode, they might consider switching to Jupyter as similar issues had been previously reported with VSCode.