Incorrect Histology Profile Downloaded (fs_LR_64k instead of fs_LR_32k)

[jihoonkim2100]

• What is the current behavior?
  Downloaded the incorrect histology profile: fs_LR_64k instead of fs_LR_32k.

• Please provide the steps to reproduce and if possible a minimal demo of the problem.

import h5py
from brainstat.context.histology import download_histology_profiles, read_histology_profile

_ = download_histology_profiles(template='fslr32k')

with h5py.File('histology_fslr32k.h5', 'r') as f:
     for key in f.keys():
         dataset = f[key]
         print(f"key:  {key}, Type:  {type(dataset)}, Shape: {dataset.shape}, Size: {dataset.size}")

Key: fs_LR_64k, Type: <class 'h5py._hl.dataset.Dataset'>, Shape: (50, 64984), Size: 3249200

• What is the expected behavior?

key:fs_LR_32k, Type: <class 'htpy._hl.dataset.Dataset'>, Shape: (50, 31XXX), Size: 16XXXXX

• Please tell us about your computing environment:

Python Version: 3.11.11 | packaged by conda-forge | (main, Mar  3 2025, 20:43:55) [GCC 13.3.0]
Python Executable: [/data/u_kimj_software/miniforge3/envs/metric/bin/python](https://file+.vscode-resource.vscode-cdn.net/data/u_kimj_software/miniforge3/envs/metric/bin/python)
Operating System: Linux 6.1.0-32-amd64
Architecture: ('64bit', 'ELF')

• Other information
  Update the "url": "https://box.bic.mni.mcgill.ca/s/6zKHcg9xXu5inPR/download",