0.10.5

New Features

• Add QuadraticModel.set_upper_bound and QuadraticModel.set_lower_bound methods.

Upgrade Notes

• The preprocessing extra install argument has been removed.

• Remove dimod.meta namespace. Its functionality, SamplerABCMeta and samplemixinmethod, has been migrated to the dimod.core.sampler namespace.

Bug Fixes

• Fix QuadraticModel.energies when given samples with values greater than the maximum value representable by an 8 bit integer. Previously samples were incorrectly cast to 8 bit integers.

• When a QuadraticModel already has an integer variable, adding it with QuadraticModel.add_variable with different lower or upper bounds now correctly raises an exception. Likewise, adding or multiplying the same variable symbolically with different bounds will also raise an exception.

• When a ConstrainedQuadraticModel already has an integer variable, adding it as part of a constraint or objective with different lower or upper bounds now correctly raises an exception.

• Make dimod.INTEGER correctly deepcopy-able.

• Fix (deprecated) AdjVectorBQM.to_file and AdjVectorBQM.from_file. See #898.

• Fix BinaryQuadraticModel.energies for a BQM with dtype=object and a single variable with an integer bias. Previously it would raise a numpy.core._exceptions._UFuncOutputCastingError.

• Fix energy calculation when the lower bound (lb) equals the upper bound (lb) in DiscreteQuadraticModel.add_linear_inequality_constraint and BinaryQuadraticModel.add_linear_inequality_constraint.

• Promote dwave-preprocessing to a full dependency of dimod to avoid issues that occur when dimod is a required package but dwave-preprocessing is not.