Merge branch 'main' into cache

Author: crusaderky

.github/workflows/docs-deploy.yml

@@ -13,7 +13,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - name: Download Artifact
-        uses: dawidd6/action-download-artifact@v9
+        uses: dawidd6/action-download-artifact@v10
         with:
           workflow: docs-build.yml
           name: docs-build

.github/workflows/tests.yml

@@ -32,20 +32,20 @@ jobs:
           python -m pip install --upgrade pip
           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
+          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 [ "${{ matrix.numpy-version }}" == "1.26" ]; then
             python -m pip install 'numpy==1.26.*'
           else
-            # Don't `pip install .[dev]` as it would pull in the whole torch cuda stack
-            python -m pip install array-api-strict dask[array] jax[cpu] numpy sparse
-            python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
-            if [ "${{ matrix.python-version }}" != "3.13" ]; then
-              # onnx wheels are not available on Python 3.13 at the moment of writing
-              python -m pip install ndonnx
-            fi
+            python -m pip install numpy
+            python -m pip install dask[array] jax[cpu] sparse ndonnx
           fi
 
       - name: Dump pip environment

tests/test_array_namespace.py

@@ -27,7 +27,9 @@ def test_array_namespace(request, library, api_version, use_compat):
     ):
         xfail(request, "Unsupported API version")
 
-    namespace = array_namespace(array, api_version=api_version, use_compat=use_compat)
+    with warnings.catch_warnings():
+        warnings.simplefilter('ignore', UserWarning)
+        namespace = array_namespace(array, api_version=api_version, use_compat=use_compat)
 
     if use_compat is False or use_compat is None and library not in wrapped_libraries:
         if library == "jax.numpy" and not hasattr(xp, "__array_api_version__"):
@@ -43,10 +45,13 @@ def test_array_namespace(request, library, api_version, use_compat):
 
     if library == "numpy":
         # check that the same namespace is returned for NumPy scalars
-        scalar_namespace = array_namespace(
-            xp.float64(0.0), api_version=api_version, use_compat=use_compat
-        )
-        assert scalar_namespace == namespace
+        with warnings.catch_warnings():
+            warnings.simplefilter('ignore', UserWarning)
+
+            scalar_namespace = array_namespace(
+                xp.float64(0.0), api_version=api_version, use_compat=use_compat
+            )
+            assert scalar_namespace == namespace
 
 
 def test_jax_backwards_compat():

tests/test_common.py

@@ -195,6 +195,9 @@ def test_device_to_device(library, request):
         xfail(request, reason="Stub raises ValueError")
     if library == "sparse":
         xfail(request, reason="No __array_namespace_info__()")
+    if library == "array_api_strict":
+        if np.__version__ < "2":
+            xfail(request, reason="no copy argument of np.asarray")
 
     xp = import_(library, wrapper=True)
     devices = xp.__array_namespace_info__().devices()