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Co-authored-by: Vahid Tavanashad <[email protected]>

Author: antonwolfy

CHANGELOG.md

@@ -6,9 +6,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [0.17.0] - 02/DD/2025
 
-This release reaches milestone of 100% compliance with Python Array API specification (revision [2023.12](https://data-apis.org/array-api/2023.12/)).
-The release provides enhanced compatibility with NumPy 2.2.3. Array manipulation, mathematical, logic, statistics routines are complemented by a set of new functions.
-Furthermore, in that release, the full scope of DPNP tests pass on NVIDIA GPUs.
+This release achieves 100% compliance with Python Array API specification (revision [2023.12](https://data-apis.org/array-api/2023.12/)).
+The release provides enhanced compatibility with NumPy 2.2.3. Array manipulation, mathematical, logic, and statistics routines are complemented by a set of new functions.
+Furthermore, in this release, the full scope of DPNP tests pass on NVIDIA GPUs.
 
 ### Added
 
@@ -60,21 +60,21 @@ Furthermore, in that release, the full scope of DPNP tests pass on NVIDIA GPUs.
 * Extended support of `order` keyword in like-functions [#2088](https://github.com/IntelPython/dpnp/pull/2088)
 * Updated `dpnp.einsum` function to comply with NEP-50 [#2120](https://github.com/IntelPython/dpnp/pull/2120)
 * Extended `dpnp.linalg.pinv` and `dpnp.linalg.matrix_rank` functions to support `rtol` keyword [#2124](https://github.com/IntelPython/dpnp/pull/2124)
-* Extended `dpnp.array` function to support `ndmin` keyword [#2124](https://github.com/IntelPython/dpnp/pull/2124)
+* Extended `dpnp.array` function to support `ndmin` keyword [#2135](https://github.com/IntelPython/dpnp/pull/2135)
 * Leveraged `dpctl.tensor` implementation for `dpnp.put_along_axis` function [#2134](https://github.com/IntelPython/dpnp/pull/2134)
 * Corrected `dpnp.ndarray.item` implemented to return a python scalar instead of zero-dimensional array [#2138](https://github.com/IntelPython/dpnp/pull/2138)
 * Bumped NumPy, CuPy and Python versions used for building docs [#2158](https://github.com/IntelPython/dpnp/pull/2158)
 * Extended `dpnp.sort` and `dpnp.argsort` functions to support `kind="mergesort"` and `kind="radixsort"` values [#2159](https://github.com/IntelPython/dpnp/pull/2159)
 * Revised and updated information in `README.md` document [#2166](https://github.com/IntelPython/dpnp/pull/2166)
-* Permitted "same_kind" casting for elementwise inplace operators [#2170](https://github.com/IntelPython/dpnp/pull/2170)
+* Permitted `"same_kind"` casting for elementwise inplace operators [#2170](https://github.com/IntelPython/dpnp/pull/2170)
 * Bumped oneMKL version up to `0.6` and added new `--onemkl-interfaces-dir` option to build script [#2193](https://github.com/IntelPython/dpnp/pull/2193)
 * Updated implementation of `dpnp.linalg.solve` function to align with `numpy >= 2.0` and Python array API [#2198](https://github.com/IntelPython/dpnp/pull/2198)
 * Improved performance of `dpnp.choose` function by implementing a dedicated kernel [#2201](https://github.com/IntelPython/dpnp/pull/2201)
 * Aligned with the functional changes introduced by NumPy 2.2 [#2226](https://github.com/IntelPython/dpnp/pull/2226)
 * Improved performance of `dpnp.nan_to_num` function by implementing a dedicated kernel [#2228](https://github.com/IntelPython/dpnp/pull/2228)
-* Enabled Intel MKL backends when building building from the source with `--onemkl-interfaces` option [#2229](https://github.com/IntelPython/dpnp/pull/2229)
+* Enabled Intel MKL backends when building from the source with `--onemkl-interfaces` option [#2229](https://github.com/IntelPython/dpnp/pull/2229)
 * Extended `intersphinx_mapping` with a link to CuPy documentation to make cupy functions clickable from the rendered pages [#2232](https://github.com/IntelPython/dpnp/pull/2232)
-* Improved performance of `dpnp.nanmedian` function when `axis is no None` passed [#2240](https://github.com/IntelPython/dpnp/pull/2240)
+* Improved performance of `dpnp.nanmedian` function when `axis` is not `None` passed [#2240](https://github.com/IntelPython/dpnp/pull/2240)
 * Aligned `dpnp.trim_zeros` with NumPy 2.2 and added support of a multi-dimenaional input array [#2241](https://github.com/IntelPython/dpnp/pull/2241)
 * Disallowed implicit conversion of `dpnp.ndarray` to `numpy.ndarray` [#2260](https://github.com/IntelPython/dpnp/pull/2260)
 * Extended `dpnp.ndarray.to_device` method to support `stream` keyword [#2263](https://github.com/IntelPython/dpnp/pull/2263)
@@ -85,7 +85,7 @@ Furthermore, in that release, the full scope of DPNP tests pass on NVIDIA GPUs.
 * Extended `dpnp.cov` function to support all keyword arguments [#2303](https://github.com/IntelPython/dpnp/pull/2303)
 * Disallowed `minlength=None` value passed into `dpnp.bincount` function [#2310](https://github.com/IntelPython/dpnp/pull/2310)
 * Added build support with `oneMath` (new name of `oneMKL` interface) [#2313](https://github.com/IntelPython/dpnp/pull/2313)
-* Aligned a signature of `dpnp.astype` function with Python array API [#2318](https://github.com/IntelPython/dpnp/pull/2318)
+* Aligned the signature of `dpnp.astype` function with Python array API [#2318](https://github.com/IntelPython/dpnp/pull/2318)
 
 ### Fixed
 
@@ -95,13 +95,13 @@ Furthermore, in that release, the full scope of DPNP tests pass on NVIDIA GPUs.
 * Resolved issues with `dpnp.linalg.svd` implementation invoked on NVIDIA GPU [#2212](https://github.com/IntelPython/dpnp/pull/2212)
 * Fixed compilation warnings when building from the source with `--target=cuda` option [#2225](https://github.com/IntelPython/dpnp/pull/2225)
 * Passed `striped` property to `group_load/group_store` functions replicating legacy behavior [#2238](https://github.com/IntelPython/dpnp/pull/2238)
-* Extended `"PATH"` environment variable on Windows to support dpnp in virtual enviroemnt out of the box [#2242](https://github.com/IntelPython/dpnp/pull/2242)
+* Extended `"PATH"` environment variable on Windows to support dpnp in virtual environment out of the box [#2242](https://github.com/IntelPython/dpnp/pull/2242)
 * Added a workaround to prevent a race condition in `dpnp.linalg.qr` when running on NVIDIA GPU [#2265](https://github.com/IntelPython/dpnp/pull/2265)
 * Resolved `IndexError` exception raised by `dpnp.matmul` [#2278](https://github.com/IntelPython/dpnp/pull/2278)
 * Declared missing required dependencies on numpy and dpctl packages from dpnp wheel package [#2283](https://github.com/IntelPython/dpnp/pull/2283)
 * Resolved an issue with wrong result shape returned by `dpnp.vecdot` [#2294](https://github.com/IntelPython/dpnp/pull/2294)
 * Resolved an issue with wrong result returned by `dpnp.tensordot` for integer data types [#2296](https://github.com/IntelPython/dpnp/pull/2296)
-* Resolved `ValueError` exception raised by `dpnp.linalg.qr` with non-contigious input array [#2314](https://github.com/IntelPython/dpnp/pull/2314)
+* Resolved `ValueError` exception raised by `dpnp.linalg.qr` with non-contiguous input array [#2314](https://github.com/IntelPython/dpnp/pull/2314)
 * Resolved an issue with wrong result returned by `dpnp.fft.fftn` and `dpnp.fft.rfftn` when running on NVIDIA GPU [#2332](https://github.com/IntelPython/dpnp/pull/2332)
 
 ## [0.16.1] - 12/06/2024