CI: do not try jax or sparse on numpy 1

Author: ev-br

.github/workflows/tests.yml

@@ -33,17 +33,19 @@ jobs:
           python -m pip install pytest
 
           # Don't `pip install .[dev]` as it would pull in the whole torch cuda stack
-          python -m pip install array-api-strict dask[array] jax[cpu] sparse ndonnx
+          python -m pip install array-api-strict
           python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
 
           if [ "${{ matrix.numpy-version }}" == "dev" ]; then
             python -m pip install numpy --pre --extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
+            python -m pip install dask[array] jax[cpu] sparse ndonnx
           elif [ "${{ matrix.numpy-version }}" == "1.22" ]; then
             python -m pip install 'numpy==1.22.*'
           elif [ "${{ matrix.numpy-version }}" == "1.26" ]; then
             python -m pip install 'numpy==1.26.*'
           else
             python -m pip install numpy
+            python -m pip install dask[array] jax[cpu] sparse ndonnx
           fi
 
       - name: Dump pip environment