3.2.0

Changelog

• dimod 0.9.10 -> 0.9.13

  • append_variables function, replacing the funcionality of SampleSet.append_variables

  • append_vectors function, to add more data vactors to a sample set

  • Documentation improvements

  • Support for python 3.9

  • Improved error messages and variable names in DQM.from_numpy_vectors

  • .clang-format file for C++ formatting

  • C++ AdjVectorBQM and AdjMapBQM can now be constructed from COO-formatted arrays

  • Python AdjVectorBQM.from_numpy_vectors and AdjMapBQM.from_numpy_vectors is now much more performant

  • Cython DiscreteQuadrataticModel object now uses C++ COO constructors rather than an ad hoc implementation

  • gnp_random_bqm generator for randomly connected BQMs

  • Fix c++ target for windows build

  • Fix DQM.from_numpy_vectors to no longer segfault when given inconsistent inputs

  • DQM.from_numpy_vectors, .set_quadratic and .set_quadratic_case now correctly raise a ValueError when the user attempts to create an interaction between cases in a variable

  • BQM.from_numpy_vectors now maintains the correct variable order

  • AdjDictBQM biases are no longer 0 dimensional arrays when constructed from a numpy matrix

  • Fixed column alignment issue when printing sample sets

  • Deprecated SampleSet.append_variables

• dwave-cloud-client 0.8.1 -> 0.8.2

  • Improve error messages for multipart upload failures (#433)
  • Accept looser file-like for upload (#435)
  • Support for python 3.9 (#442)

• dwave-greedy 0.1.1 -> 0.1.2

  • Support for python 3.9

• dwave-hybrid 0.6.0 -> 0.6.1

  • 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
  • Expanded range of supported energies in EnergyWeightedResampler
  • Linear beta schedule and better defaults in PopulationAnnealing
  • Tests not included in the package anymore
  • Deprecated use of beta in EnergyWeightedResampler. Use delta_beta instead.

• dwave-neal 0.5.6 -> 0.5.7

  • Support for python 3.9

• dwave-qbsolv 0.3.1 -> 0.3.2

  • Support for python 3.9

• dwave-system 1.2.1 -> 1.3.0

  • ReverseBatchStatesComposite now inherits from dimod.Initialized and by default reverse anneals
  • ReverseAdvanceComposite now reverse anneals by default with schedule [[0, 1], [1, 0.35], [9, 0.35], [10, 1]]
  • EmbeddedStructure is now deep copy-able
  • Embedding composites now raise correct warnings even when chain strengths are provided as a dict
  • Many dwave.embedding utility functions have been migrated to minorminer, though they are still imported into their original namespaces

• dwave-tabu 0.3.0 -> 0.3.1

  • Support for python 3.9

• minorminer 0.2.3 -> 0.2.5

  • Incorporate functionality from dwave.embedding namespace (#170)
  • Updated python install instructions
  • Support for python 3.9

• penaltymodel 0.16.3 -> 0.16.4

  • Support for python 3.9

• penaltymodel-cache 0.4.1 -> 0.4.3

  • Added decorator for isolating penaltymodel cache tests, @isolated_cache
  • Fixed caching of problems with no quadratic/linear biases set
  • Support for python 3.9

• penaltymodel-lp 0.1.3 -> 0.1.4

  • Support for python 3.9

• penaltymodel-maxgap 0.5.3 -> 0.5.4

  • Support for python 3.9

• penaltymodel-mip 0.2.3 -> 0.2.4

  • Support for python 3.9

Package versions

dimod==0.9.13
dwave-cloud-client==0.8.2
dwave-greedy==0.1.2
dwave-hybrid==0.6.1
dwave-inspector==0.2.4
dwave-neal==0.5.7
dwave-networkx==0.8.8
dwave-qbsolv==0.3.2
dwave-system==1.3.0
dwave-tabu==0.3.1
dwavebinarycsp==0.1.2
minorminer==0.2.5
penaltymodel-cache==0.4.3
penaltymodel-lp==0.1.4
penaltymodel==0.16.4
pyqubo==1.0.7		# only available on python < 3.9

Extras, all

penaltymodel-maxgap==0.5.4
penaltymodel-mip==0.2.4