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Merge branch 'master' into enable-clip-tests
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.github/workflows/build-sphinx.yml

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@@ -42,6 +42,7 @@ jobs:
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oneapi-pkgs-env: ''
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# Enable env when it's required to use only conda packages without OneAPI installation
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# oneapi-pkgs-env: '${{ github.workspace }}/environments/oneapi_pkgs.yml'
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dpctl-pkg-txt: 'environments/dpctl_pkg.txt'
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steps:
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- name: Cancel Previous Runs
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- name: Install dpctl
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if: env.oneapi-pkgs-env == ''
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run: |
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pip install -i https://pypi.anaconda.org/dppy/label/dev/simple dpctl==0.20.0dev0
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pip install -r ${{ env.dpctl-pkg-txt }}
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- name: Conda info
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run: |

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

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- name: Merge conda env files
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run: |
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conda-merge ${{ env.build-with-oneapi-env }} ${{ env.dpctl-pkg-env }} ${{ env.oneapi-pkgs-env }} > ${{ env.environment-file }}
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conda-merge ${{ env.dpctl-pkg-env }} ${{ env.oneapi-pkgs-env }} ${{ env.build-with-oneapi-env }} > ${{ env.environment-file }}
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cat ${{ env.environment-file }}
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- name: Upload artifact
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python -c "import dpnp; print(dpnp.__version__)"
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- name: Run tests
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if: env.rerun-tests-on-failure == 'true'
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if: env.rerun-tests-on-failure != 'true'
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run: |
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python -m pytest -ra --pyargs dpnp.tests
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env:

.github/workflows/conda-package.yml

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environment-file: ${{ env.build-conda-pkg-env }}
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activate-environment: ${{ env.build-env-name }}
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- name: List installed packages
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run: mamba list
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- name: Store conda paths as envs
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shell: bash -el {0}
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run: |
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continue-on-error: true
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run: conda build --no-test --python ${{ matrix.python }} --numpy 2.0 ${{ env.channels-list }} conda-recipe
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env:
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MAX_BUILD_CMPL_MKL_VERSION: '2025.1a0'
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MAX_BUILD_CMPL_MKL_VERSION: '2025.2a0'
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- name: ReBuild conda package
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if: steps.build_conda_pkg.outcome == 'failure'
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run: conda build --no-test --python ${{ matrix.python }} --numpy 2.0 ${{ env.channels-list }} conda-recipe
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env:
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MAX_BUILD_CMPL_MKL_VERSION: '2025.1a0'
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MAX_BUILD_CMPL_MKL_VERSION: '2025.2a0'
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- name: Upload artifact
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uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
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python -m pytest --json-report --json-report-file=${{ env.json-report-file }} --disable-deadline --skips-file ${{ env.array-api-skips-file }} array_api_tests || true
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env:
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ARRAY_API_TESTS_MODULE: 'dpnp'
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ARRAY_API_TESTS_VERSION: '2024.12'
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SYCL_CACHE_PERSISTENT: 1
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working-directory: ${{ env.array-api-tests-path }}
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.github/workflows/generate_coverage.yaml

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oneapi-pkgs-env: ''
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# Enable env when it's required to use only conda packages without OneAPI installation
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# oneapi-pkgs-env: '${{ github.workspace }}/environments/oneapi_pkgs.yml'
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dpctl-pkg-txt: 'environments/dpctl_pkg.txt'
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- name: Cancel Previous Runs
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- name: Install dpctl
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if: env.oneapi-pkgs-env == ''
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run: |
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pip install -i https://pypi.anaconda.org/dppy/label/dev/simple dpctl==0.20.0dev0
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pip install -r ${{ env.dpctl-pkg-txt }}
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- name: Conda info
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run: |

.github/workflows/openssf-scorecard.yml

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# Upload the results to GitHub's code scanning dashboard.
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- name: "Upload to code-scanning"
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uses: github/codeql-action/upload-sarif@5f8171a638ada777af81d42b55959a643bb29017 # v3.28.12
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uses: github/codeql-action/upload-sarif@45775bd8235c68ba998cffa5171334d58593da47 # v3.28.15
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with:
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sarif_file: results.sarif

.github/workflows/pre-commit.yml

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uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
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- name: Set up python
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uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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uses: actions/setup-python@8d9ed9ac5c53483de85588cdf95a591a75ab9f55 # v5.5.0
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with:
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python-version: '3.13'
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.pre-commit-config.yaml

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# See https://pre-commit.com/hooks.html for more hooks
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repos:
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- repo: https://github.com/PyCQA/bandit
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rev: '1.7.9'
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rev: '1.8.3'
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hooks:
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- id: bandit
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pass_filenames: false
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args: ["-r", "dpnp", "-lll"]
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.6.0
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rev: v5.0.0
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hooks:
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- id: check-ast
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- id: check-builtin-literals
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- id: rst-inline-touching-normal
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- id: text-unicode-replacement-char
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- repo: https://github.com/codespell-project/codespell
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rev: v2.3.0
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rev: v2.4.1
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hooks:
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- id: codespell
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args: ["-L", "abd"] # ignore "abd" used in einsum tests
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additional_dependencies:
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- tomli
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- repo: https://github.com/psf/black
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rev: 24.4.2
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rev: 25.1.0
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hooks:
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- id: black
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- repo: https://github.com/pycqa/isort
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rev: 5.13.2
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rev: 6.0.1
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- id: isort
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name: isort (python)
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name: isort (pyi)
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types: [pyi]
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- repo: https://github.com/pycqa/flake8
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rev: 7.1.0
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rev: 7.1.2
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- id: flake8
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args: ["--config=.flake8"]
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additional_dependencies:
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- flake8-docstrings==1.7.0
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- flake8-bugbear==24.4.26
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- flake8-bugbear==24.12.12
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- repo: https://github.com/pocc/pre-commit-hooks
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rev: v1.3.5
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- id: clang-format
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args: ["-i"]
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- repo: https://github.com/gitleaks/gitleaks
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rev: v8.18.4
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rev: v8.24.0
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- id: gitleaks
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- repo: https://github.com/jumanjihouse/pre-commit-hooks
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"--disable=unused-wildcard-import"
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]
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files: '^dpnp/(dpnp_iface.*|fft|linalg)'
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- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
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rev: v2.14.0
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hooks:
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- id: pretty-format-toml
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args: [--autofix]

CHANGELOG.md

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## [0.18.0] - MM/DD/2025
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This release achieves 100% compliance with Python Array API specification (revision [2024.12](https://data-apis.org/array-api/2024.12/)).
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### Added
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* Added implementation of `dpnp.hamming` [#2341](https://github.com/IntelPython/dpnp/pull/2341), [#2357](https://github.com/IntelPython/dpnp/pull/2357)
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* Added implementation of `dpnp.hanning` [#2358](https://github.com/IntelPython/dpnp/pull/2358)
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* Added implementation of `dpnp.blackman` [#2363](https://github.com/IntelPython/dpnp/pull/2363)
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* Added implementation of `dpnp.bartlett` [#2366](https://github.com/IntelPython/dpnp/pull/2366)
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* Added implementation of `dpnp.convolve` [#2205](https://github.com/IntelPython/dpnp/pull/2205)
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* Added implementation of `dpnp.kaiser` [#2387](https://github.com/IntelPython/dpnp/pull/2387)
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* Improved performance of `dpnp.nansum`, `dpnp.nanprod`, `dpnp.nancumsum`, and `dpnp.nancumprod` by reusing `dpnp.nan_to_num` function in implementation of the functions [#2339](https://github.com/IntelPython/dpnp/pull/2339)
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* Allowed input array of `uint64` dtype in `dpnp.bincount` [#2361](https://github.com/IntelPython/dpnp/pull/2361)
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* The vector norms `ord={None, 1, 2, inf}` and the matrix norms `ord={None, 1, 2, inf, "fro", "nuc"}` now consistently return zero for empty arrays, which are arrays with at least one axis of size zero. This change affects `dpnp.linalg.norm`, `dpnp.linalg.vector_norm`, and `dpnp.linalg.matrix_norm`. Previously, dpnp would either raise errors or return zero depending on the parameters provided [#2371](https://github.com/IntelPython/dpnp/pull/2371)
25+
* Extended `dpnp.fft.fftfreq` and `dpnp.fft.rfftfreq` functions to support `dtype` keyword per Python Array API spec 2024.12 [#2384](https://github.com/IntelPython/dpnp/pull/2384)
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* Updated `dpnp.fix` to return output with the same data-type of input [#2392](https://github.com/IntelPython/dpnp/pull/2392)
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* Updated `dpnp.einsum` to add support for `order=None` [#2411](https://github.com/IntelPython/dpnp/pull/2411)
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* Updated Python Array API specification version supported to `2024.12` [#2416](https://github.com/IntelPython/dpnp/pull/2416)
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* Removed `einsum_call` keyword from `dpnp.einsum_path` signature [#2421](https://github.com/IntelPython/dpnp/pull/2421)
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* Resolved an issue with an incorrect result returned due to missing dependency from the strided kernel on a copy event in `dpnp.erf` [#2378](https://github.com/IntelPython/dpnp/pull/2378)
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* Updated `conda create` commands build and install instructions of `Quick start guide` to avoid a compilation error [#2395](https://github.com/IntelPython/dpnp/pull/2395)
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* Added handling of empty string passed to a test env variable defining data type scope as a `False` value [#2415](https://github.com/IntelPython/dpnp/pull/2415)
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## [0.17.0] - 02/26/2025

conda-recipe/meta.yaml

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{% set max_compiler_and_mkl_version = environ.get("MAX_BUILD_CMPL_MKL_VERSION", "2026.0a0") %}
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{% set required_compiler_and_mkl_version = "2025.0" %}
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{% set required_dpctl_version = "0.19.0*" %}
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{% set required_dpctl_version = "0.20.0*" %}
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package:
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name: dpnp

doc/quick_start_guide.rst

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.. code-block:: bash
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conda create -n build-env dpctl cython dpcpp_linux-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c https://software.repos.intel.com/python/conda/ -c conda-forge
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conda create -n build-env dpctl cython dpcpp_linux-64 mkl-devel-dpcpp tbb-devel \
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onedpl-devel cmake scikit-build ninja pytest intel-gpu-ocl-icd-system \
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-c dppy/label/dev -c https://software.repos.intel.com/python/conda/ -c conda-forge
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conda activate build-env
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On Windows:
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.. code-block:: bash
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conda create -n build-env dpctl cython dpcpp_win-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c https://software.repos.intel.com/python/conda/ -c conda-forge
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conda create -n build-env dpctl cython dpcpp_win-64 mkl-devel-dpcpp tbb-devel \
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onedpl-devel cmake scikit-build ninja pytest intel-gpu-ocl-icd-system \
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-c dppy/label/dev -c https://software.repos.intel.com/python/conda/ -c conda-forge
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conda activate build-env
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To build and install the package on Linux OS, run:

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