Merge branch 'master' into onemath

Author: vtavana

CHANGELOG.md

@@ -9,6 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Added
 
 * Added `--target-cuda[=ARCH]` option to replace the deprecated `--target=cuda`, allowing users to build for CUDA devices with optional architecture selection using [CodePlay oneAPI plug-in](https://developer.codeplay.com/products/oneapi/nvidia/home/) [#2478](https://github.com/IntelPython/dpnp/pull/2478)
+* Enabled support of Python 3.13 [#2490](https://github.com/IntelPython/dpnp/pull/2490)
 
 ### Changed
 

dpnp/tests/test_product.py

@@ -843,8 +843,7 @@ def test_dtype_matrix(self, dt_in1, dt_in2, dt_out, shape1, shape2):
             assert_raises(TypeError, dpnp.matmul, ia, ib, out=iout)
             assert_raises(TypeError, numpy.matmul, a, b, out=out)
 
-    # TODO: include numpy-2.3 when numpy-issue-29164 is resolved
-    @testing.with_requires("numpy<2.3")
+    @testing.with_requires("numpy!=2.3.0")
     @pytest.mark.parametrize("dtype", _selected_dtypes)
     @pytest.mark.parametrize("order1", ["C", "F", "A"])
     @pytest.mark.parametrize("order2", ["C", "F", "A"])
@@ -882,8 +881,7 @@ def test_order(self, dtype, order1, order2, order, shape1, shape2):
         assert result.flags.f_contiguous == expected.flags.f_contiguous
         assert_dtype_allclose(result, expected)
 
-    # TODO: include numpy-2.3 when numpy-issue-29164 is resolved
-    @testing.with_requires("numpy<2.3")
+    @testing.with_requires("numpy!=2.3.0")
     @pytest.mark.parametrize("dtype", _selected_dtypes)
     @pytest.mark.parametrize(
         "stride",

dpnp/tests/third_party/cupy/math_tests/test_matmul.py

@@ -99,8 +99,7 @@ def test_cupy_matmul(self, xp, dtype1, dtype2):
 )
 class TestMatmulOut(unittest.TestCase):
 
-    # TODO: include numpy-2.3 when numpy-issue-29164 is resolved
-    @testing.with_requires("numpy<2.3")
+    @testing.with_requires("numpy!=2.3.0")
     # no_int8=True is added to avoid overflow
     @testing.for_all_dtypes(name="dtype1", no_int8=True)
     @testing.for_all_dtypes(name="dtype2", no_int8=True)

pyproject.toml

@@ -31,6 +31,7 @@ classifiers = [
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
   "Programming Language :: Python :: 3 :: Only",
   "Programming Language :: Python :: Implementation :: CPython",
   "Topic :: Software Development",
@@ -69,7 +70,7 @@ license = {text = "Apache 2.0"}
 maintainers = [{name = "Intel Corporation"}]
 name = "dpnp"
 readme = {file = "README.md", content-type = "text/markdown"}
-requires-python = ">=3.9,<3.13"
+requires-python = ">=3.9,<3.14"
 
 [project.optional-dependencies]
 coverage = ["Cython", "pytest", "pytest-cov", "coverage", "tomli", "llvm"]
@@ -92,7 +93,7 @@ Repository = "https://github.com/IntelPython/dpnp.git"
 
 [tool.black]
 line-length = 80
-target-version = ['py39', 'py310', 'py311', 'py312']
+target-version = ['py39', 'py310', 'py311', 'py312', 'py313']
 
 [tool.codespell]
 builtin = "clear,rare,informal,names"