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@arcondello arcondello released this 11 Feb 00:18
· 806 commits to main since this release
0.10.13
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Learn about vigilant mode.

New Features

  • Add ConstrainedQuadraticModel.add_discrete_from_comparison() method.
  • Add ConstrainedQuadraticModel.add_discrete_from_iterable() method.
  • Add ConstrainedQuadraticModel.add_discrete_from_model() method.
  • ConstrainedQuadraticModel.add_discrete() now supports additional argument types.
  • Add QuadraticModel.flip_variable() method.
  • Add ConstrainedQuadraticModel.flip_variable() method.
  • Support iterator inputs to as_samples(). See #543.
  • Add SamplesLike and SampleLike to dimod.typing. See #1008.
  • Add dimod::vartype_limits to C++ code for compile-time information about variable types.
  • Add dimod::vartype_info to C++ code for runtime information about variable types.
  • Add vartype_info() function.
  • BinaryQuadraticModel.resize() now returns the difference in the number of variables between the current and previous binary quadratic model. Previously it always returned 0. See #1091
  • Add BinaryQuadraticModel.maximum_energy_delta() method.
  • Add ConstrainedQuadraticModel.set_lower_bound() method. See #1105.
  • Add ConstrainedQuadraticModel.set_upper_bound() method. See #1105.

Upgrade Notes

  • as_samples() no longer always casts input sample values to integers.
  • QuadraticModel.energies() and BinaryQuadraticModel.energies() now return a NumPy array with dtype np.float64 be default. Previously they defaulted to match the dtype of the model.
  • Bounds for integer variables are no longer rounded to the nearest int in QuadraticModel and ConstrainedQuadraticModel.

Deprecation Notes

  • Deprecate support for a 2-tuple of (dict, list) as a samples-like. E.g. ({'a': 1, 'b': 0}, ['a', 'b']) is no longer supported. (array_like, labels) is still supported, as is a dictionary. Support will be removed in dimod 0.12.0.

Bug Fixes

  • QuadraticModel.energies() and BinaryQuadraticModel.energies() will return the correct energy when given samples with non-integer values.
  • It is no longer possible to add an integer variables to a quadratic model with bounds that do not include at least one integer between them. E.g. qm.add_variable('INTEGER', 'v', lower_bound=1.2, upper_bound=1.5) will now raise a ValueError.
  • ConstrainedQuadraticModel.add_variable() now correctly raises an error when a variable is added twice with inconsistent bounds.
  • ConstrainedQuadraticModel.add_variable() now correctly returns the variable label when a variable is added twice.
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