Disable GitHub workflows to be run with python 3.13 (#2322)

There is currently no way to install dpnp with any numpy version > 2.0,
because
- there is no such version available on
`https://software.repos.intel.com/python/conda/` channel
- numpy from `conda-forge` channel depends on BLAS libraries which has a
runtime dependency `mkl < 2025.0` (since BLAS packages with build number
29)

There is draft PR
([gh-128](conda-forge/blas-feedstock#128)) to
build BLAS with MKL version 2025.0, but it is blocked due to MKL issue
([gh-83](conda-forge/intel_repack-feedstock#83)).

Meanwhile there was conda-forge patch
([gh-959](conda-forge/conda-forge-repodata-patches-feedstock#959))
merged recently to add `mkl < 2025.0` constraint to already published
BLAS packaged on `conda-forge` with older build number.

DPNP package can't fulfill the requirement `mkl < 2025.0`, because it
would mandate dpnp build pinning with DPC++ compiler 2024.2. While there
were non-backward compatible changes between 2024.2 and 2025.x versions,
that is dpnp built with 2024.2 compiler can not be installed with any
DPC++ RT 2025.x version, but it is required since targeted by the
upcoming release.

Thus the PR proposes to temporary disable or workaround all scenario
where it is need to tests with numpy from `conda-forge` channel,
including tests workflows for python 3.13 (per PR trigger and nightly)
and workflow for testing of oneMath interfaces with the latest numpy.
The changes has to be rolled back once the above issues are resolved.

Author: antonwolfy

.github/workflows/check-mkl-interfaces.yaml

@@ -20,7 +20,7 @@ env:
       onedpl-devel
       setuptools
       python
-      numpy">=2.0"
+      numpy
       cython
       cmake
       ninja
@@ -32,7 +32,9 @@ jobs:
 
     strategy:
       matrix:
-        python: ['3.13']
+        # python 3.13 is blocked since BLAS requires "mkl<2025.0" (see https://github.com/conda-forge/blas-feedstock/pull/128
+        # which depends on resolving MKL issue https://github.com/conda-forge/intel_repack-feedstock/issues/83)
+        python: ['3.12']
         os: [ubuntu-22.04] # windows-2019 - no DFT support for Windows in oneMKL
 
     permissions:
@@ -125,7 +127,9 @@ jobs:
 
     strategy:
       matrix:
-        python: ['3.13']
+        # python 3.13 is blocked since BLAS requires "mkl<2025.0" (see https://github.com/conda-forge/blas-feedstock/pull/128
+        # which depends on resolving MKL issue https://github.com/conda-forge/intel_repack-feedstock/issues/83)
+        python: ['3.12']
         os: [ubuntu-22.04] # windows-2019 - no DFT support for Windows in oneMKL
 
     permissions:

.github/workflows/conda-package.yml

@@ -16,7 +16,9 @@ env:
   CONDA_BUILD_INDEX_ENV_PY_VER: '3.12' # conda does not support python 3.13
   CONDA_BUILD_VERSION: '25.1.1'
   CONDA_INDEX_VERSION: '0.5.0'
-  LATEST_PYTHON: '3.13'
+  # python 3.13 is blocked since BLAS requires "mkl<2025.0" (see https://github.com/conda-forge/blas-feedstock/pull/128
+  # which depends on resolving MKL issue https://github.com/conda-forge/intel_repack-feedstock/issues/83)
+  LATEST_PYTHON: '3.12'
   RERUN_TESTS_ON_FAILURE: 'true'
   RUN_TESTS_MAX_ATTEMPTS: 2
   TEST_ENV_NAME: 'test'
@@ -31,7 +33,9 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        # python 3.13 is blocked since BLAS requires "mkl<2025.0" (see https://github.com/conda-forge/blas-feedstock/pull/128
+        # which depends on resolving MKL issue https://github.com/conda-forge/intel_repack-feedstock/issues/83)
+        python: ['3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-22.04, windows-2019]
 
     permissions:
@@ -124,7 +128,8 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        # python 3.13 is blocked due to MKL issue
+        python: ['3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest]
 
     env:
@@ -253,7 +258,8 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        # python 3.13 is blocked due to MKL issue
+        python: ['3.9', '3.10', '3.11', '3.12']
         os: [windows-2019]
 
     env:
@@ -389,7 +395,8 @@ jobs:
 
     strategy:
       matrix:
-        python: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        # python 3.13 is blocked due to MKL issue
+        python: ['3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-22.04, windows-2019]
 
     runs-on: ${{ matrix.os }}

.github/workflows/cron-run-tests.yaml

@@ -37,7 +37,9 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        # python 3.13 is blocked since BLAS requires "mkl<2025.0" (see https://github.com/conda-forge/blas-feedstock/pull/128
+        # which depends on resolving MKL issue https://github.com/conda-forge/intel_repack-feedstock/issues/83)
+        python: ['3.9', '3.10', '3.11', '3.12']
         runner: [ubuntu-22.04, ubuntu-24.04, windows-2019]
 
     steps:

dpnp/tests/third_party/cupy/manipulation_tests/test_basic.py

@@ -199,6 +199,7 @@ def test_copyto_multigpu_noncontinguous(self, dtype):
         testing.assert_array_equal(expected, dst.get())
 
 
+@testing.with_requires("numpy>=2.1")
 @testing.parameterize(
     *testing.product(
         {