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* Added implementation of `dpnp.linalg.lu_factor` (SciPy-compatible) [#2557](https://github.com/IntelPython/dpnp/pull/2557), [#2565](https://github.com/IntelPython/dpnp/pull/2565)
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### Changed
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@@ -34,6 +35,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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* Replaced `ci` section in `.pre-commit-config.yaml` with a new GitHub workflow with scheduled run to autoupdate the `pre-commit` configuration [#2542](https://github.com/IntelPython/dpnp/pull/2542)
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* FFT module is updated to perform in-place FFT in intermediate steps of ND FFT [#2543](https://github.com/IntelPython/dpnp/pull/2543)
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* Reused dpctl tensor include to enable experimental SYCL namespace for complex types [#2546](https://github.com/IntelPython/dpnp/pull/2546)
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* Changed Windows-specific logic in dpnp initialization [#2553](https://github.com/IntelPython/dpnp/pull/2553)
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* Added missing includes to files in ufunc and VM pybind11 extensions [#2571](https://github.com/IntelPython/dpnp/pull/2571)
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* Refactored backend implementation of `dpnp.linalg.solve` to use oneMKL LAPACK `gesv` directly [#2558](https://github.com/IntelPython/dpnp/pull/2558)
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* Improved performance of `dpnp.isclose` function by implementing a dedicated kernel for scalar `rtol` and `atol` arguments [#2540](https://github.com/IntelPython/dpnp/pull/2540)
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* Extended `dpnp.pad` to support `pad_width` keyword as a dictionary [#2535](https://github.com/IntelPython/dpnp/pull/2535)
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### Deprecated
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@@ -51,6 +57,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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* Fixed `dpnp.unique` with 1d input array and `axis=0`, `equal_nan=True` keywords passed where the produced result doesn't collapse the NaNs [#2530](https://github.com/IntelPython/dpnp/pull/2530)
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* Resolved issue when `dpnp.ndarray` constructor is called with `dpnp.ndarray.data` as `buffer` keyword [#2533](https://github.com/IntelPython/dpnp/pull/2533)
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* Fixed `dpnp.linalg.cond` to always return a real dtype [#2547](https://github.com/IntelPython/dpnp/pull/2547)
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* Resolved the issue in `dpnp.random` functions to allow any value of `size` where each element is castable to `Py_ssize_t` type [#2578](https://github.com/IntelPython/dpnp/pull/2578)
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