Dpnp

This release will require DPC++ `2024.1.0`, which no longer supports Intel Gen9 integrated GPUs found in Intel CPUs of 10th generation and older.

Added

* Added implementation of `dpnp.tensordot` function [1699](https://github.com/IntelPython/dpnp/pull/1699)
* Added implementation of `dpnp.nanmean` and `dpnp.nanstd` functions [1654](https://github.com/IntelPython/dpnp/pull/1654)
* Added implementation of `dpnp.angle` function [1650](https://github.com/IntelPython/dpnp/pull/1650)
* Added implementation of `dpnp.logsumexp` and `dpnp.reduce_hypot` functions [1648](https://github.com/IntelPython/dpnp/pull/1648)
* Added implementation of `dpnp.column_stack`, `dpnp.dstack` and `dpnp.row_stack` functions [1647](https://github.com/IntelPython/dpnp/pull/1647)
* Added implementation of `dpnp.nanargmax`, `dpnp.nanargmin`, `dpnp.nanmax` and `dpnp.nanmin` functions [1646](https://github.com/IntelPython/dpnp/pull/1646)
* Added implementation of `dpnp.clip` function, available as well as a method of dpnp array [1645](https://github.com/IntelPython/dpnp/pull/1645)
* Added implementation of `dpnp.copysign` and `dpnp.rsqrt` functions [1624](https://github.com/IntelPython/dpnp/pull/1624)
* Added implementation of `dpnp.linalg.slogdet` function [1607](https://github.com/IntelPython/dpnp/pull/1607)
* Added implementation of `dpnp.can_cast` function [1600](https://github.com/IntelPython/dpnp/pull/1600)
* Added implementation of `dpnp.linalg.solve` function [1598](https://github.com/IntelPython/dpnp/pull/1598)
* Added implementation of `dpnp.broadcast_arrays` function [1594](https://github.com/IntelPython/dpnp/pull/1594)
* Added implementation of `dpnp.tile` function [1586](https://github.com/IntelPython/dpnp/pull/1586)
* Added implementation of `dpnp.iinfo` and `dpnp.finfo` functions [1582](https://github.com/IntelPython/dpnp/pull/1582)
* Added implementation of `dpnp.logaddexp` function [1561](https://github.com/IntelPython/dpnp/pull/1561)
* Added implementation of `dpnp.positive` function [1559](https://github.com/IntelPython/dpnp/pull/1559)

Changed

* Changed exception type from `ValueError` to `NotImplementedError` for unsupporting keyword arguments in array creation functions [1695](https://github.com/IntelPython/dpnp/pull/1695)
* Enabled compatibility support against numpy `1.26.4` [1690](https://github.com/IntelPython/dpnp/pull/1690)
* Implemented `dpnp.true_divide` as an alias on `dpnp.divide` function [1641](https://github.com/IntelPython/dpnp/pull/1641)
* Added support of more number of data types and dimensions for input array in `dpnp.vdot` function [1692](https://github.com/IntelPython/dpnp/pull/1692)
* Added support of more number of data types and dimensions for input array in `dpnp.linalg.qr` function [1673](https://github.com/IntelPython/dpnp/pull/1673)
* Added support of more number of data types and dimensions for input array in `dpnp.dot` function [1669](https://github.com/IntelPython/dpnp/pull/1669)
* Added support of more number of data types and dimensions for input array in `dpnp.linalg.inv` function [1665](https://github.com/IntelPython/dpnp/pull/1665)
* Added support of more number of data types for input array in `dpnp.sort` and `dpnp.argsort` functions, as well as implementing support of `axis` keyword [1660](https://github.com/IntelPython/dpnp/pull/1660)
* Added support of more number of data types and dimensions for input array in `dpnp.linalg.cholesky` function, as well as implementing support of `upper` keyword [1638](https://github.com/IntelPython/dpnp/pull/1638)
* Added support of more number of data types and dimensions for input array in `dpnp.diff`, as well as implementing support of `prepend` and `append` keywords [1637](https://github.com/IntelPython/dpnp/pull/1637)
* Added support of more number of data types and dimensions for input array in `dpnp.matmul` function [1616](https://github.com/IntelPython/dpnp/pull/1616)
* Added support of more number of data types and dimensions for input array in `dpnp.linalg.det` function [1607](https://github.com/IntelPython/dpnp/pull/1607)
* Added support of more number of data types and dimensions for input array in `dpnp.linalg.svd` function, as well as implementing support of `full_matrices`, `compute_uv` and `hermitian` keywords [1604](https://github.com/IntelPython/dpnp/pull/1604)
* Accepted different data types and dimensions of input arrays in `dpnp.put_along_axis` and `dpnp.take_along_axis` functions, as well as available values of `axis` keyword [1636](https://github.com/IntelPython/dpnp/pull/1636)
* Added `keepdims`, `initial` and `where` keywords to `dpnp.amax` and `dpnp.amin` functions [1639](https://github.com/IntelPython/dpnp/pull/1639)
* Extended `dpnp.meshgrid` function to support `sparse` and `copy` keyword arguments [1675](https://github.com/IntelPython/dpnp/pull/1675)
* Extended `dpnp.average` function to support `axis`, `weights`, `returned` and `keepdims` keywords and `dpnp.nansum` function with `axis`, `dtype`, `keepdims` and `out` keyword arguments [1654](https://github.com/IntelPython/dpnp/pull/1654)
* Extended `dpnp.std`, `dpnp.var` and `nanvar` functions to support `axis`, `dtype`, `out` and `keepdims` keyword arguments [1635](https://github.com/IntelPython/dpnp/pull/1635)
* Extended `dpnp.ogrid` and `dpnp.mgrid` functions with support of device-aware keywords of compute follows data paradigm [1622](https://github.com/IntelPython/dpnp/pull/1622)
* Extended `dpnp.indices` function to support `dtype` and `sparse` keyword arguments, as well as device-aware keywords of compute follows data paradigm [1622](https://github.com/IntelPython/dpnp/pull/1622)
* Extended `dpnp.count_nonzero` function to support `axis` and `keepdims` keyword arguments [1615](https://github.com/IntelPython/dpnp/pull/1615)
* Extended `dpnp.put_along_axis` and `dpnp.take_along_axis` functions to support `out`, `dtype` and `casting` keyword arguments [1608](https://github.com/IntelPython/dpnp/pull/1608)
* Extended `dpnp.stack` and `dpnp.concatenate` functions to support `out`, `dtype` and `casting` keyword arguments [1608](https://github.com/IntelPython/dpnp/pull/1608)
* Extended `dpnp.vstack` function to support `dtype` and `casting` keyword arguments [1595](https://github.com/IntelPython/dpnp/pull/1595)
* Extended `dpnp.diag`, `dpnp.diagflat`, `dpnp.ptp` and `dpnp.vander` functions with support of extra keywords to align with compute follows data paradigm [1579](https://github.com/IntelPython/dpnp/pull/1579)
* Extended `dpnp.tri` and `dpnp.identity` functions with support of device-aware keywords of compute follows data paradigm [1577](https://github.com/IntelPython/dpnp/pull/1577)
* Added dedicated in-place kernels to `dpnp.divide` and `dpnp.floor_divide` functions [1587](https://github.com/IntelPython/dpnp/pull/1587)
* Redesigned `dpnp.cbrt` and `dpnp.exp2` functions through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1624](https://github.com/IntelPython/dpnp/pull/1624)
* Redesigned `dpnp.exp`, `dpnp.expm1`, `dpnp.log10`, `dpnp.log1p` and `dpnp.log2` functions through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1576](https://github.com/IntelPython/dpnp/pull/1576)
* Redesigned `dpnp.abs` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1575](https://github.com/IntelPython/dpnp/pull/1575)
* Redesigned `dpnp.hypot` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1560](https://github.com/IntelPython/dpnp/pull/1560)
* Leveraged `dpctl.tensor` implementation for `dpnp.reciprocal` function [1650](https://github.com/IntelPython/dpnp/pull/1650)
* Leveraged `dpctl.tensor` implementation for `dpnp.mean` function [1632](https://github.com/IntelPython/dpnp/pull/1632)
* Leveraged `dpctl.tensor` implementation for `dpnp.repeat` function [1614](https://github.com/IntelPython/dpnp/pull/1614)
* Leveraged `dpctl.tensor` implementation for `dpnp.argmax` and `dpnp.argmin` functions [1610](https://github.com/IntelPython/dpnp/pull/1610)
* Leveraged `dpctl.tensor` implementation for `dpnp.geomspace` and `dpnp.logspace` functions [1603](https://github.com/IntelPython/dpnp/pull/1603)
* Leveraged `dpctl.tensor` implementation for `dpnp.max` and `dpnp.min` functions [1602](https://github.com/IntelPython/dpnp/pull/1602)
* Leveraged `dpctl.tensor` implementation for `dpnp.astype` function [1597](https://github.com/IntelPython/dpnp/pull/1597)
* Leveraged `dpctl.tensor` implementation for `dpnp.maximum` and `dpnp.minimum` functions [1558](https://github.com/IntelPython/dpnp/pull/1558)

Fixed

* Resolved potential raising of execution placement error from `dpnp.take_along_axis` and `dpnp.put_along_axis` functions [1702](https://github.com/IntelPython/dpnp/pull/1702)
* Improved performance of `dpnp.matmul` and `dpnp.dot` function when `out` keyword is passed [1694](https://github.com/IntelPython/dpnp/pull/1694)
* Completed documentation for each array creation functions [1674](https://github.com/IntelPython/dpnp/pull/1674)
* Aligned `dpnp.clip` where both `min` and `max` keywords have `None` value with NumPy implementation [1670](https://github.com/IntelPython/dpnp/pull/1670)
* Fixed a bug related to `out` keyword in elementwise functions [1656](https://github.com/IntelPython/dpnp/pull/1656)
* Resolved compilation warnings due to `-Wvla-extension` option enabled by default [1651](https://github.com/IntelPython/dpnp/pull/1651)
* Replaced deprecated `IntelDPCPPConfig.cmake` script with vendored `IntelSYCLConfig.cmake` [1611](https://github.com/IntelPython/dpnp/pull/1611)
* Improved coverage report to include code of pybind11 extensions [1609](https://github.com/IntelPython/dpnp/pull/1609)
* Improved performance of `dpnp.atleast_2d` and `dpnp.atleast_3d` functions and fixed to return a correct shape of resulting array [1560](https://github.com/IntelPython/dpnp/pull/1560)

Added

* Added implementation of `dpnp.imag` and `dpnp.real` functions, as well as the corresponding properties and setters of dpnp array [1557](https://github.com/IntelPython/dpnp/pull/1557)
* Added implementation of flipping functions: `dpnp.flip`, `dpnp.fliplr` and `dpnp.flipud` [1543](https://github.com/IntelPython/dpnp/pull/1543)
* Added implementation of `dpnp.rint` function through `dpnp.round` call [1537](https://github.com/IntelPython/dpnp/pull/1537)
* Added in-place support for arithmetic operators [1530](https://github.com/IntelPython/dpnp/pull/1530)
* Dropped build and uploading the package with `python=3.8` to `dppy/label/dev` channel of Anaconda [1534](https://github.com/IntelPython/dpnp/pull/1534)
* Implemented build and uploading the package with `python=3.11` to `dppy/label/dev` channel of Anaconda [1501](https://github.com/IntelPython/dpnp/pull/1501)
* Added the versioneer to compute a product version number [1497](https://github.com/IntelPython/dpnp/pull/1497)
* Added `cython` support of `3.0.0` or above version [1495](https://github.com/IntelPython/dpnp/pull/1495)

Changed

* Updated `Build from source` section in `README.md` to state all the required prerequisite packages [1553](https://github.com/IntelPython/dpnp/pull/1553)
* Reworked `dpnp.hstack` and `dpnp.atleast_1d` through existing functions to get rid of falling back on NumPy [1544](https://github.com/IntelPython/dpnp/pull/1544)
* Reworked `dpnp.asfarray` through existing functions to get rid of falling back on NumPy [1542](https://github.com/IntelPython/dpnp/pull/1542)
* Converted from `raw` to `multi_ptr` with `address_space_cast` to adopt towards changes introduced in `SYCL 2020` [1538](https://github.com/IntelPython/dpnp/pull/1538)
* Updated install instruction via `pip` [1531](https://github.com/IntelPython/dpnp/pull/1531)
* Reworked `dpnp.copyto` through existing functions instead of a separate kernel [1516](https://github.com/IntelPython/dpnp/pull/1516)
* Aligned default order value with NumPy in asarray-like functions [1526](https://github.com/IntelPython/dpnp/pull/1526)
* Created unary and binary elementwise functions at module import [1522](https://github.com/IntelPython/dpnp/pull/1522)
* Redesigned trigonometric and hyperbolic functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1545](https://github.com/IntelPython/dpnp/pull/1545)
* Added `dpnp.signbit` and `dpnp.proj` functions implemented through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1535](https://github.com/IntelPython/dpnp/pull/1535)
* Redesigned `dpnp.round` and `dpnp.around` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1520](https://github.com/IntelPython/dpnp/pull/1520)
* Redesigned `dpnp.sign` and `dpnp.negative` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1523](https://github.com/IntelPython/dpnp/pull/1523)
* Redesigned `dpnp.conjugate` and `dpnp.conj` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1519](https://github.com/IntelPython/dpnp/pull/1519)
* Redesigned `dpnp.ceil`, `dpnp.floor` and `dpnp.trunc` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1518](https://github.com/IntelPython/dpnp/pull/1518)
* Redesigned `dpnp.remainder` and `dpnp.mod` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1515](https://github.com/IntelPython/dpnp/pull/1515)
* Redesigned `dpnp.power` function through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1476](https://github.com/IntelPython/dpnp/pull/1476)
* Leveraged `dpctl.tensor` implementation for `dpnp.put` function [1529](https://github.com/IntelPython/dpnp/pull/1529)
* Leveraged `dpctl.tensor` implementation for `dpnp.roll` and `dpnp.rollaxis` functions [1517](https://github.com/IntelPython/dpnp/pull/1517)
* Leveraged `dpctl.tensor` implementation for `dpnp.copy` function [1540](https://github.com/IntelPython/dpnp/pull/1540)
* Leveraged `dpctl.tensor` implementation for `dpnp.expand_dims` and `dpnp.swapaxes` functions [1532](https://github.com/IntelPython/dpnp/pull/1532)
* Leveraged `dpctl.tensor` implementation for bitwise operations [1508](https://github.com/IntelPython/dpnp/pull/1508)
* Leveraged `dpctl.tensor` implementation for `dpnp.all` and `dpnp.any` functions [1512](https://github.com/IntelPython/dpnp/pull/1512)
* Leveraged `dpctl.tensor` implementation for `dpnp.stack` function [1509](https://github.com/IntelPython/dpnp/pull/1509)
* Leveraged `dpctl.tensor` implementation for `dpnp.concatenate` function [1507](https://github.com/IntelPython/dpnp/pull/1507)
* Leveraged `dpctl.tensor` implementation for `dpnp.isnan`, `dpnp.isinf` and `dpnp.isfinite` functions [1504](https://github.com/IntelPython/dpnp/pull/1504)
* Leveraged `dpctl.tensor` implementation for `dpnp.take` function [1492](https://github.com/IntelPython/dpnp/pull/1492)
* Refreshed API References block in the documentation [1490](https://github.com/IntelPython/dpnp/pull/1490)
* Refreshed documentation to reflect an actual product behavior [1485](https://github.com/IntelPython/dpnp/pull/1485)
* Upgraded the build flow to use newer `pybind11=2.11.1` version [1510](https://github.com/IntelPython/dpnp/pull/1510)
* Updated pre-commit hooks to run with `flake8=6.1.0` and `black=23.7.0` [1505](https://github.com/IntelPython/dpnp/pull/1505)
* Pinned DPC++ and OneMKL versions to `2023.2`` release [1496](https://github.com/IntelPython/dpnp/pull/1496)
* Added a specialized kernel for F-contiguous arrays to `dpnp.sum` with `axis=1` [1489](https://github.com/IntelPython/dpnp/pull/1489)
* Removed a workaround to Klockwork since it is not used anymore due to transition to Coverity tool [1493](https://github.com/IntelPython/dpnp/pull/1493)

Fixed

* Resolved `Logically dead code` issue addressed by Coverity scan [1541](https://github.com/IntelPython/dpnp/pull/1541)
* Resolved `Arguments in wrong order` issue addressed by Coverity scan [1513](https://github.com/IntelPython/dpnp/pull/1513)
* Resolved `Pointer to local outside scope` issue addressed by Coverity scan [1514](https://github.com/IntelPython/dpnp/pull/1514)
* Fixed assigning a value to potentially none-valued dictionary coverage generation script [1511](https://github.com/IntelPython/dpnp/pull/1511)
* Resolved issues with running `dpnp.allclose` function on a device without fp64 support [1536](https://github.com/IntelPython/dpnp/pull/1536)
* Resolved issues with running FFT functions on a device without fp64 support [1524](https://github.com/IntelPython/dpnp/pull/1524)
* Resolved issues with running mathematical functions on a device without fp64 support [1502](https://github.com/IntelPython/dpnp/pull/1502)
* Resolved issues with running random functions on a device without fp64 support [1498](https://github.com/IntelPython/dpnp/pull/1498)
* Resolved issues with running statistics functions on a device without fp64 support [1494](https://github.com/IntelPython/dpnp/pull/1494)

Added

* Added `classifiers metadata` to a description of dpnp package [1460](https://github.com/IntelPython/dpnp/pull/1460)
* Added `pygrep-hooks` to pre-commit config [1454](https://github.com/IntelPython/dpnp/pull/1454)
* Added `flake8` to pre-commit config [1453](https://github.com/IntelPython/dpnp/pull/1453)
* Added `isort` to pre-commit config [1451](https://github.com/IntelPython/dpnp/pull/1451)
* Added `clang` format to pre-commit config [1450](https://github.com/IntelPython/dpnp/pull/1450)
* Added `black` to pre-commit config [1449](https://github.com/IntelPython/dpnp/pull/1449)
* Added `pre-commit` hooks [1448](https://github.com/IntelPython/dpnp/pull/1448)

Changed

* Pinned to `dpctl>=0.14.5` as host and run dependencies [1481](https://github.com/IntelPython/dpnp/pull/1481)
* Pinned dependent `cython` package to a version less than `3.0.0` [1480](https://github.com/IntelPython/dpnp/pull/1480)
* Added a specialized kernel for `dpnp.sum` with `axis=0` as a pybind11 extension [1479](https://github.com/IntelPython/dpnp/pull/1479)
* Redesigned `dpnp.square` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1473](https://github.com/IntelPython/dpnp/pull/1473)
* Redesigned `dpnp.cos` and `dpnp.sin` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [1471](https://github.com/IntelPython/dpnp/pull/1471)
* Redesigned `dpnp.sqrt` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1470](https://github.com/IntelPython/dpnp/pull/1470)
* Redesigned `dpnp.log` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [1469](https://github.com/IntelPython/dpnp/pull/1469)
* Leveraged `dpctl.tensor` implementation for logical operations [1464](https://github.com/IntelPython/dpnp/pull/1464)
* Leveraged `dpctl.tensor` implementation for `dpnp.floor_divide` function [1462](https://github.com/IntelPython/dpnp/pull/1462)
* Leveraged `dpctl.tensor` implementation for comparison functions [1458](https://github.com/IntelPython/dpnp/pull/1458)

Fixed

* Improved `dpnp.dot` function to support OneMKL calls for input and output arrays with strides [1477](https://github.com/IntelPython/dpnp/pull/1477)
* Resolved issues with running `dpnp.linalg` functions on a device without fp64 support [1474](https://github.com/IntelPython/dpnp/pull/1474)
* Added `dtype` check of fp64 support by the resulting array in `call_origin` function [1457](https://github.com/IntelPython/dpnp/pull/1457)
* Resolved a compilation warning with `std::getenv()` call on Windows [1452](https://github.com/IntelPython/dpnp/pull/1452)
* Corrected a link to OneAPI Toolkit in Installation Guide [1445](https://github.com/IntelPython/dpnp/pull/1445)

Added

* Implemented `dpnp.broadcast_to` function [1333](https://github.com/IntelPython/dpnp/pull/1333)
* Implemented `dpnp.extract` function [1340](https://github.com/IntelPython/dpnp/pull/1340)
* Implemented `dpnp.linalg.eigh` function through pybind11 extension of OneMKL call [1383](https://github.com/IntelPython/dpnp/pull/1383)
* Implemented `dpnp.mean` function [1431](https://github.com/IntelPython/dpnp/pull/1431)
* Added support of bool types in bitwise operations [1334](https://github.com/IntelPython/dpnp/pull/1334)
* Added `out` parameter in `dpnp.add` function [1329](https://github.com/IntelPython/dpnp/pull/1329)
* Added `out` parameter in `dpnp.multiply` function [1365](https://github.com/IntelPython/dpnp/pull/1365)
* Added `out` parameter in `dpnp.sqrt` function [1332](https://github.com/IntelPython/dpnp/pull/1332)
* Added `rowvar` parameter in `dpnp.cov` function [1371](https://github.com/IntelPython/dpnp/pull/1371)
* Added `nbytes` property to dpnp array [1359](https://github.com/IntelPython/dpnp/pull/1359)
* Introduced a new github Action to control code coverage [1373](https://github.com/IntelPython/dpnp/pull/1373)
* Added change log [1439](https://github.com/IntelPython/dpnp/pull/1439)


Changed

* Leveraged `dpctl.tensor` implementation for `dpnp.place` function [1337](https://github.com/IntelPython/dpnp/pull/1337)
* Leveraged `dpctl.tensor` implementation for `dpnp.moveaxis` function [1382](https://github.com/IntelPython/dpnp/pull/1382)
* Leveraged `dpctl.tensor` implementation for `dpnp.squeeze` function [1381](https://github.com/IntelPython/dpnp/pull/1381)
* Leveraged `dpctl.tensor` implementation for `dpnp.where` function [1380](https://github.com/IntelPython/dpnp/pull/1380)
* Leveraged `dpctl.tensor` implementation for `dpnp.transpose` function [1389](https://github.com/IntelPython/dpnp/pull/1389)
* Leveraged `dpctl.tensor` implementation for `dpnp.reshape` function [1391](https://github.com/IntelPython/dpnp/pull/1391)
* Leveraged `dpctl.tensor` implementation for `dpnp.add`, `dpnp.multiply` and `dpnp.subtract` functions [1430](https://github.com/IntelPython/dpnp/pull/1430)
* Leveraged `dpctl.tensor` implementation for `dpnp.sum` function [1426](https://github.com/IntelPython/dpnp/pull/1426)
* Leveraged `dpctl.tensor` implementation for `dpnp.result_type` function [1435](https://github.com/IntelPython/dpnp/pull/1435)
* Reused OneDPL `std::nth_element` function in `dpnp.partition` with 1d array [1406](https://github.com/IntelPython/dpnp/pull/1406)
* Transitioned dpnp build system to use scikit-build [1349](https://github.com/IntelPython/dpnp/pull/1349)
* Renamed included dpnp_algo_*.pyx files to *.pxi [1356](https://github.com/IntelPython/dpnp/pull/1356)
* Implemented support of key as a tuple in `dpnp.__getitem__()` and `dpnp.__setitem__()` functions [1362](https://github.com/IntelPython/dpnp/pull/1362)
* Selected dpnp own kernels for elementwise functions instead of OneMKL VM calls on a device without fp64 aspect [1386](https://github.com/IntelPython/dpnp/pull/1386)
* Pinned to `sysroot>=2.28` and transitioned to `conda-forge` channel [1408](https://github.com/IntelPython/dpnp/pull/1408)
* Redesigned `dpnp.divide` implementation to call `div` from OneMKL for C-contiguous data or to use `dpctl.tensor` library otherwise [1418](https://github.com/IntelPython/dpnp/pull/1418)
* Changed an engine used for random generated array on GPU device from MT19937 to MCG59 [1423](https://github.com/IntelPython/dpnp/pull/1423)
* Implemented in-place support of `dpnp.divide` [1434](https://github.com/IntelPython/dpnp/pull/1434)
* Redesigned `dpnp.outer` implementation through `dpnp.multiply` with broadcasted arrays [1436](https://github.com/IntelPython/dpnp/pull/1436)
* Pinned to `dpctl>=0.14.3` as host and run dependencies [1437](https://github.com/IntelPython/dpnp/pull/1437)
* Reimplemented `dpnp.cov` through existing dpnp function instead of a separate kernel [1396](https://github.com/IntelPython/dpnp/pull/1396)


Fixed

* Fixed `dpnp.asarray` function to accept a sequence of dpnp arrays [1355](https://github.com/IntelPython/dpnp/pull/1355)
* Fixed crash in `dpnp.sum` with an empty array [1369](https://github.com/IntelPython/dpnp/pull/1369)
* Fixed compilation error around `sycl::abs` with DPC++ 2023.2.0 [1393](https://github.com/IntelPython/dpnp/pull/1393)
* Fixed Klockwork run and enabled cmake verbose mode for conda build [1433](https://github.com/IntelPython/dpnp/pull/1433)