Dwave-hybrid

Latest version: v0.6.11

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0.6.11

New Features
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- Add Python 3.12 support. See https://github.com/dwavesystems/dwave-hybrid/pull/289.

- Add support for Kings graph in large neighborhood search. See https://github.com/dwavesystems/dwave-hybrid/pull/290.

- Enable optional metadata tracking in LNLS (`LatticeLNLS` and `LatticeLNLSSampler`). See https://github.com/dwavesystems/dwave-hybrid/pull/292.


Fixes
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- Fix docs build. See https://github.com/dwavesystems/dwave-hybrid/pull/291.

- Use more specific assertions and `assertEqual`. See https://github.com/dwavesystems/dwave-hybrid/pull/293.


Upgrade Notes
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- Drop Python 3.7 support and refresh CI. See https://github.com/dwavesystems/dwave-hybrid/pull/288.

0.6.10

New Features
---

- Add Python 3.11 support. See https://github.com/dwavesystems/dwave-hybrid/pull/285.

Fixes
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- Adapt SA concurrency test to new Neal default schedule. See https://github.com/dwavesystems/dwave-hybrid/pull/278.

- Add lattice ref solver to docs. See https://github.com/dwavesystems/dwave-hybrid/pull/282.

- Stop using deprecated numpy type aliases. See https://github.com/dwavesystems/dwave-hybrid/pull/283.

- Fix async multiprocess queue logging test. See https://github.com/dwavesystems/dwave-hybrid/pull/286.

0.6.9

New Features

- Add `LatticeLNLS` reference workflow for larger-than-QPU lattice-structured problems.

- Add `LatticeLNLSSampler`, a dimod-compatible hybrid decomposition sampler for problems of lattice structure.

- Add `make_origin_embeddings` decomposer that creates optimal embeddings for a QPU or cubic lattice.

Fixes

- Support unorderable variables in energy based decomposer (fixes 273).

0.6.8

Fixes
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- Support all structured samplers in `SubproblemCliqueEmbedder` (271)

0.6.7

Fixes
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- Fixed `State.from_sample` to accept `SampleSet`. Fixed `KerberosSampler` to accept `SampleSet` for initial state (268)

Upgrade Notes
---
- Drop Python 3.6 support (269)

0.6.6

New Features
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- Support `dimod<0.13.0` (266)

Fixes
---

- Docs refresh (262)

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