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CHANGELOG.md

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@@ -26,6 +26,7 @@ This release achieves 100% compliance with Python Array API specification (revis
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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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### Fixed
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dpnp/dpnp_iface_linearalgebra.py

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@@ -457,7 +457,7 @@ def einsum(
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)
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def einsum_path(*operands, optimize="greedy", einsum_call=False):
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def einsum_path(*operands, optimize="greedy"):
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"""
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einsum_path(subscripts, *operands, optimize="greedy")
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@@ -483,7 +483,7 @@ def einsum_path(*operands, optimize="greedy", einsum_call=False):
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* if a list is given that starts with ``einsum_path``, uses this as the
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contraction path
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* if ``False`` or ``None`` no optimization is taken
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* if ``True`` defaults to the "greedy" algorithm
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* if ``True`` defaults to the ``"greedy"`` algorithm
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* ``"optimal"`` is an algorithm that combinatorially explores all
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possible ways of contracting the listed tensors and chooses the
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least costly path. Scales exponentially with the number of terms
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return numpy.einsum_path(
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*operands,
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optimize=optimize,
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einsum_call=einsum_call,
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einsum_call=False,
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)
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