use one os for caching

.github/workflows/cache_elephant_data.yml

@@ -17,20 +17,20 @@ jobs:
  fail-fast: false
  matrix:
  # OS [ubuntu-latest, macos-latest, windows-latest]
- os: [macos-latest,ubuntu-latest,windows-latest]
+ os: [macos-latest]
 
  steps:
  - name: Get current hash (SHA) of the elephant_data repo
  id: elephant-data
  run: |
  echo "dataset_hash=$(git ls-remote https://gin.g-node.org/NeuralEnsemble/elephant-data.git HEAD | cut -f1)" >> $GITHUB_OUTPUT
 
- - uses: actions/cache@v3
+ - uses: actions/cache@v4.0.2
  # Loading cache of elephant-data
  id: cache-datasets
  with:
  path: ~/elephant-data
- key: ${{ runner.os }}-datasets-${{ steps.elephant-data.outputs.dataset_hash }}
+ key: datasets-${{ steps.elephant-data.outputs.dataset_hash }}
 
  - name: Cache found?
  run: echo "Cache-hit == ${{steps.cache-datasets.outputs.cache-hit == 'true'}}"
@@ -46,14 +46,6 @@ jobs:
  if: steps.cache-datasets.outputs.cache-hit != 'true' && runner.os == 'macOS'
  run: |
  brew install datalad
-
- - name: Install Datalad Linux/ Windows
- if: steps.cache-datasets.outputs.cache-hit != 'true' && (runner.os == 'Linux' || runner.os == 'Windows')
- run: |
- python -m pip install -U pip # Official recommended way
- pip install datalad-installer
- datalad-installer --sudo ok git-annex --method datalad/packages
- pip install datalad
  
  - name: Download dataset
  id: download-dataset
@@ -64,15 +56,9 @@ jobs:
  datalad --version
  datalad install --recursive --get-data https://gin.g-node.org/NeuralEnsemble/elephant-data
 
- - name: Show size of the cache to assert data is downloaded macOS, Linux
- if: runner.os == 'Linux' || runner.os == 'macOS'
+ - name: Show size of the cache to assert data is downloaded macOS
  run: |
  cd ~
  du -hs ~/elephant-data
  ls -lh ~/elephant-data
 
- - name: Show size of the cache to assert data is downloaded Windows
- if: runner.os == 'Windows'
- run: |
- cd ~
- dir ~\elephant-data