0.5.0

Deprecate dwave-tabu in favor of dwave-samplers.

0.5.0.dev0

Deprecated dwave-tabu in favor of dwave-samplers.

0.4.5

New Features

• Add Linux aarch64 and MacOS universal2 wheels

Changes

• Drop support for Python 3.6 and Win32

0.4.4

New Features

• Support dimod>=0.9.0,<0.13.0

0.4.3

New Features

• Add Python 3.10 support/wheels (#95)

Fixes

• Remove 3rd party include file that used to be required on Windows (#90)
• Remove dwave-hybrid as a testing dependency (#75)

0.4.2

New Features

• Support dimod 0.10

0.4.1

Fixes

• Modernized setup and build pipeline (#85)

  • Package metadata moved to setup.cfg
  • Use PEP-517/PEP-518 build system via pyproject.toml
  • Dropped 32-bit/i686 manylinux wheels
  • Added manylinux2014 wheels
  • Dropped AppVeyor in favor of CircleCI
  • Synchronized deploys
  • New CI workflow (build dist -> install from dist -> test)
  • Simplified and standardized CI by using dwave/ocean orb

0.4.1rc1

Release 0.4.1rc1

0.4.0

New Features

• Biases now stored as double floats, instead of as ints (#29)

• Added C++ code tests

• Added seed parameter to TabuSampler.sample() for reproducible
  random initial states (#30)

• Added energy_threshold to TabuSampler.sample() to enable target energy
  based termination (#48)

Fixes

• C++ code refactored and modernized

• TabuSampler now implements the full dimod.Initialized interface

• RNG isolated per instance and thread (#71)

Changes

• Removed bias scaling (scale_factor from TabuSampler.sample()
  args), since biases are now internally represented as
  double-precision floats (#29)

• Switched to Cython from SWIG for C++/Python interface

• Dropped Python 3.5 support

• Removed init_solutions argument of .sample() (deprecated, since v0.2.0,
  in favor of initial_states).

0.4.0rc1

New Features

• Biases stored as double floats, instead of as ints (#29)

• Added C++ code tests

• Added seed parameter to TabuSampler.sample() for reproducible
  random initial states (#30)

• Added energy_threshold to TabuSampler.sample() to enable energy
  target based termination (#48)

Fixes

• C++ code refactored and modernized

• TabuSampler now implements the full dimod.Initialized interface

• RNG isolated per instance and thread (#71)

Changes

• Removed bias scaling (scale_factor from TabuSampler.sample()
  args), since biases are now internally represented as
  double-precision floats (#29)

• Switched to Cython from SWIG for C++/Python interface

• Dropped Python 3.5 support