Merge branch 'master' into fix_heevd_hang_cpu

Author: antonwolfy

.github/workflows/build-sphinx.yml

@@ -91,7 +91,7 @@ jobs:
           sudo apt-get install -y nvidia-cuda-toolkit clinfo
 
       - name: Checkout repo
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           fetch-depth: 0
 
@@ -209,7 +209,7 @@ jobs:
     runs-on: ubuntu-20.04
 
     steps:
-      - uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+      - uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           fetch-depth: 0
 

.github/workflows/conda-package.yml

@@ -67,7 +67,7 @@ jobs:
     strategy:
       matrix:
         python: ['3.9', '3.10', '3.11']
-        os: [ubuntu-20.04, windows-latest]
+        os: [ubuntu-20.04, windows-2019]
 
     permissions:
       # Needed to cancel any previous runs that are not completed for a given workflow
@@ -77,7 +77,7 @@ jobs:
 
     defaults:
       run:
-        shell: ${{ matrix.os == 'windows-latest' && 'cmd /C CALL {0}' || 'bash -l {0}' }}
+        shell: ${{ matrix.os == 'windows-2019' && 'cmd /C CALL {0}' || 'bash -l {0}' }}
 
     continue-on-error: true
 
@@ -88,7 +88,7 @@ jobs:
           access_token: ${{ github.token }}
 
       - name: Checkout DPNP repo
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           fetch-depth: 0
 
@@ -253,11 +253,11 @@ jobs:
             python -m pytest -q -ra --disable-warnings -vv ${{ env.TEST_SCOPE }}
 
   test_windows:
-    name: Test ['windows-latest', python='${{ matrix.python }}']
+    name: Test ['windows-2019', python='${{ matrix.python }}']
 
     needs: build
 
-    runs-on: windows-latest
+    runs-on: windows-2019
 
     defaults:
       run:
@@ -409,7 +409,7 @@ jobs:
     strategy:
       matrix:
         python: ['3.9', '3.10', '3.11']
-        os: [ubuntu-20.04, windows-latest]
+        os: [ubuntu-20.04, windows-2019]
 
     runs-on: ${{ matrix.os }}
 
@@ -477,7 +477,7 @@ jobs:
         run: conda install anaconda-client
 
       - name: Checkout repo
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           repository: IntelPython/devops-tools
           fetch-depth: 0

.github/workflows/generate_coverage.yaml

@@ -32,7 +32,7 @@ jobs:
           access_token: ${{ github.token }}
 
       - name: Checkout repo
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           fetch-depth: 0
 

.github/workflows/openssf-scorecard.yml

@@ -33,7 +33,7 @@ jobs:
 
     steps:
       - name: "Checkout code"
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
         with:
           persist-credentials: false
 
@@ -68,6 +68,6 @@ jobs:
 
       # Upload the results to GitHub's code scanning dashboard.
       - name: "Upload to code-scanning"
-        uses: github/codeql-action/upload-sarif@ccf74c947955fd1cf117aef6a0e4e66191ef6f61 # v3.25.4
+        uses: github/codeql-action/upload-sarif@b7cec7526559c32f1616476ff32d17ba4c59b2d6 # v3.25.5
         with:
           sarif_file: results.sarif

.github/workflows/pre-commit.yml

@@ -26,7 +26,7 @@ jobs:
             pylint
 
       - name: Checkout DPNP repo
-        uses: actions/checkout@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b # v4.1.5
+        uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
 
       - name: Set up python
         uses: actions/setup-python@82c7e631bb3cdc910f68e0081d67478d79c6982d # v5.1.0

setup.cfg

@@ -3,9 +3,17 @@ max_line_length = 120
 ignore = E201
 
 [tool:pytest]
-addopts = -p no:warnings --tb=short
+# By default, tests marked as slow will be deselected.
+# To run all tests, use -m "slow and not slow".
+# To run only slow tests, use -m "slow".
+addopts = -m "not slow" -p no:warnings --tb=short --strict-markers
 norecursedirs = tests_perf
 testpaths = tests
+markers =
+    slow: marks tests as slow (deselect with '-m "not slow"')
+    multi_gpu: marks tests that require a specified number of GPUs
+    # Added due to -p no:warnings to avoid errors with --strict-markers
+    filterwarnings: mark to filter warnings during tests
 
 [versioneer]
 VCS = git

tests/test_mathematical.py

@@ -813,16 +813,6 @@ def test_op_with_scalar(array, val, func, data_type, val_type):
             pytest.skip(
                 "(0j ** 0) is different: (NaN + NaNj) in dpnp and (1 + 0j) in numpy"
             )
-        # TODO: Remove when #1378 (dpctl) is solved and 2024.1 is released (coverage is failing otherwise)
-        elif (
-            is_cpu_device()
-            and dpnp_a.dtype == dpnp.complex128
-            and dpnp_a.size >= 8
-            and not dpnp.all(dpnp_a)
-        ):
-            pytest.skip(
-                "[..., 0j ** val] is different for x.size >= 8: [..., NaN + NaNj] in dpnp and [..., 0 + 0j] in numpy"
-            )
 
     if func == "subtract" and val_type == bool and data_type == dpnp.bool:
         with pytest.raises(TypeError):
@@ -1287,19 +1277,6 @@ def test_power(array, val, data_type, val_type):
     dpnp_a = dpnp.array(array, dtype=data_type)
     val_ = val_type(val)
 
-    # TODO: Remove when #1378 (dpctl) is solved and 2024.1 is released (coverage is failing otherwise)
-    if (
-        is_cpu_device()
-        and (
-            dpnp.complex128 in (data_type, val_type)
-            or dpnp.complex64 in (data_type, val_type)
-        )
-        and dpnp_a.size >= 8
-    ):
-        pytest.skip(
-            "[..., 0j ** val] is different for x.size >= 8: [..., NaN + NaNj] in dpnp and [..., 0 + 0j] in numpy"
-        )
-
     result = dpnp.power(dpnp_a, val_)
     expected = numpy.power(np_a, val_)
     assert_allclose(expected, result, rtol=1e-6)
@@ -2647,7 +2624,7 @@ def test_matmul_out_0D(self, out_shape):
         assert result is dpnp_out
         assert_dtype_allclose(result, expected)
 
-    @pytest.mark.skipif(is_cpu_device(), reason="large size")
+    @testing.slow
     @pytest.mark.parametrize(
         "shape",
         [

tests/third_party/cupy/math_tests/test_sumprod.py

@@ -8,7 +8,6 @@
 from tests.helper import (
     has_support_aspect16,
     has_support_aspect64,
-    is_win_platform,
 )
 from tests.third_party.cupy import testing