Dwave-networkx

New Features

- Restructure and update references for unified documentation. See [250](https://github.com/dwavesystems/dwave-networkx/pull/250).

New Features
* Add four colorings for Zephyr and Pegasus, and a two coloring for Chimera. See https://github.com/dwavesystems/dwave-networkx/pull/243.
* Add Python 3.13 support. See https://github.com/dwavesystems/dwave-networkx/pull/246.

Bug Fixes
* Fix documentation warnings. See https://github.com/dwavesystems/dwave-networkx/pull/241.
* Fix Zephyr layout coords. See https://github.com/dwavesystems/dwave-networkx/pull/236.
* Fix docstrings for graph relabeling and sublattice mapping functionality missing from reference documentation. See https://github.com/dwavesystems/dwave-networkx/pull/238.

Upgrade Notes
* Drop Python 3.8 support. See https://github.com/dwavesystems/dwave-networkx/pull/246.

New Features

* Add support for Python 3.12

Bug Fixes

* Fix undefined variables for color maps. See [232](https://github.com/dwavesystems/dwave-networkx/issues/232)

Upgrade Notes

* Drop support for Python 3.7

New Features
* Improved Documentation. See https://github.com/dwavesystems/dwave-networkx/pull/226, https://github.com/dwavesystems/dwave-networkx/pull/227, https://github.com/dwavesystems/dwave-networkx/pull/229.
* Fix misc deprecation warnings. See https://github.com/dwavesystems/dwave-networkx/pull/228.
* Support NetworkX 3.x. See https://github.com/dwavesystems/dwave-networkx/pull/230.

Upgrade Notes
* Added NumPy as an explicit dependency. See https://github.com/dwavesystems/dwave-networkx/pull/230.

New Features

* Add support for torus QPU graph variations. See https://github.com/dwavesystems/dwave-networkx/pull/225.

Fixes

* Bug fix/documentation See https://github.com/dwavesystems/dwave-networkx/pull/223.

New Features

* No longer depend on `dwave-preprocessing`
* Support `dimod>=0.10.8,<0.13.0`

Fixes

* Fix reliance on Matplotlib's `DivergingNorm`. See https://github.com/dwavesystems/dwave-networkx/issues/192
* Add missing decorator to `weighted_maximum_cut()`

Upgrades

* Drop support for Python 3.6