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Releases: dwavesystems/dwave-hybrid

0.6.3

13 Sep 07:46
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Fixes

  • Support dimod 0.10 (#248)

0.6.2

28 Jun 23:35
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Fixes

  • Added Python 3.9 support (#242)
  • Docs: fixed broken links (#243)
  • Hybridized samplers will now receive only accepted sampling parameters (#244)

Changes

  • Dropped Python 3.5 support (#247)

0.6.1

19 Oct 14:07
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New Features

  • Added beta_range option to (Hybridized)PopulationAnnealing
    and CalculateAnnealingBetaSchedule
  • ProgressBetaAlongSchedule now outputs delta_beta
    in addition to beta
  • Made ProcessPoolExecutor availability optional to enable
    use on systems with process limitations

Fixes

  • Expanded range of supported energies in EnergyWeightedResampler
  • Linear beta schedule and better defaults in PopulationAnnealing
  • Tests not included in the package anymore

Changes

  • Deprecated use of beta in EnergyWeightedResampler. Use
    delta_beta instead.

0.6.1.dev0

25 Sep 20:03
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0.6.1.dev0 Pre-release
Pre-release

Fixes

  • hybrid.concurrency.process_executor now optional

0.6.0

23 Sep 22:23
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New Features

  • Option to retry if embedding fails in QPUSubproblemAutoEmbeddingSampler (#114)
  • ComponentDecomposer for iterating over problem graph components (#209)
  • greedy-based SteepestDescentProblemSampler/SteepestDescentSubproblemSampler

Fixes

  • SplatComposer was producing numpy.float64 samplesets (#235). Now it inherits dtype from input.

0.5.1

24 Jul 17:57
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Fixes

  • All QPU samplers now use client-based QPU selection instead of solver feature-based,
    therefore allowing users to define the solver via Ocean configuration (#228)

0.5.0

02 Jul 13:31
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New Features

  • Added SubproblemCliqueEmbedder

Changes

  • Dropped Python 2.7 and 3.4 support

Fixes

  • Loosened NumPy version requirements

0.4.3

26 Mar 18:58
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Fixes

  • Minor docs/doctests updates

0.4.2

09 Feb 15:54
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New Features

  • Unified SDK docs

Fixes

  • Python 3.8 support
  • Loosened NumPy version requirements

0.4.1

22 Oct 20:01
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New Features

  • ICM/IsoenergeticClusterMove samples processor block
  • ExplodeSamples block that splits sampleset samples into states
  • HybridSampler can now return the final state produced by the
    workflow, and it can propagate sampling parameters as workflow
    run-time parameters

Fixes

  • Properly handle list samples in utils.flip_energy_gains