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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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* Added implementation of `dpnp.piecewise`[#2550](https://github.com/IntelPython/dpnp/pull/2550)
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* Added implementation of `dpnp.linalg.lu_solve` for 2D inputs (SciPy-compatible) [#2575](https://github.com/IntelPython/dpnp/pull/2575)
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* Added implementation of `dpnp.special.erfc`[#2588](https://github.com/IntelPython/dpnp/pull/2588)
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### Changed
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@@ -43,6 +45,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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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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* Redesigned `dpnp.erf` function through pybind11 extension of OneMKL call or dedicated kernel in `ufunc` namespace [#2551](https://github.com/IntelPython/dpnp/pull/2551)
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* Improved performance of batched implementation of `dpnp.linalg.det` and `dpnp.linalg.slogdet`[#2572](https://github.com/IntelPython/dpnp/pull/2572)
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* Improved documentations of `dpnp.tril_indices` and `dpnp.triu_indices` to clarify the returned order of indices [#2586](https://github.com/IntelPython/dpnp/pull/2586)
@@ -57,10 +61,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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* Updated `pre-commit` GitHub workflow to pass `no-commit-to-branch` check [#2501](https://github.com/IntelPython/dpnp/pull/2501)
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* Updated the math formulas in summary of `dpnp.matvec` and `dpnp.vecmat` to correct a typo [#2503](https://github.com/IntelPython/dpnp/pull/2503)
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* Avoided negating unsigned integers in ceil division used in `dpnp.resize` implementation [#2508](https://github.com/IntelPython/dpnp/pull/2508)
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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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* 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), [#2587](https://github.com/IntelPython/dpnp/pull/2587)
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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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