Update docs for dwave-graphs rename

Author: randomir

README.rst

@@ -4,14 +4,14 @@
 .. image:: https://codecov.io/gh/dwavesystems/dwave-graphs/branch/main/graph/badge.svg
     :target: https://codecov.io/gh/dwavesystems/dwave-graphs
 
-.. image:: https://circleci.com/gh/dwavesystems/dwave-graphs.svg?style=svg
+.. image:: https://circleci.com/gh/dwavesystems/dwave-networkx.svg?style=svg
     :target: https://circleci.com/gh/dwavesystems/dwave-graphs
 
 ============
 dwave-graphs
 ============
 
-.. start_dnx_about
+.. start_graphs_about
 
 dwave-graphs provides tools for
 working with quantum processing unit (QPU) topology graphs, such as the Pegasus
@@ -24,7 +24,7 @@ This example generates a Pegasus graph of the size used by Advantage QPUs.
 >>> import dwave.graphs
 >>> graph = dwave.graphs.pegasus_graph(16)
 
-.. end_dnx_about
+.. end_graphs_about
 
 Installation
 ============

docs/Makefile

@@ -4,7 +4,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    = -q
 SPHINXBUILD   = sphinx-build
-SPHINXPROJ    = DWaveNetworkx
+SPHINXPROJ    = dwave
 SOURCEDIR     = .
 BUILDDIR      = build
 

docs/algorithms.rst

@@ -1,4 +1,4 @@
-.. _dnx_algorithms:
+.. _graphs_algorithms:
 
 ==========
 Algorithms
@@ -7,21 +7,21 @@ Algorithms
 Implementations of graph-theory algorithms on the D-Wave system and other
 binary quadratic model samplers.
 
-.. currentmodule:: dwave_networkx
+.. currentmodule:: dwave.graphs
 
-.. _dnx_canonicalization:
+.. _graphs_canonicalization:
 
 Canonicalization
 ================
 
-.. automodule:: dwave_networkx.algorithms.canonicalization
+.. automodule:: dwave.graphs.algorithms.canonicalization
 
 .. autosummary::
     :toctree: generated/
 
     canonical_chimera_labeling
 
-.. _dnx_clique:
+.. _graphs_clique:
 
 Clique
 ======
@@ -35,7 +35,7 @@ that for every two vertices in C there exists an edge connecting the two.
     :align: center
     :scale: 40 %
 
-.. automodule:: dwave_networkx.algorithms.clique
+.. automodule:: dwave.graphs.algorithms.clique
 
 .. autosummary::
     :toctree: generated/
@@ -44,7 +44,7 @@ that for every two vertices in C there exists an edge connecting the two.
     clique_number
     is_clique
 
-.. _dnx_coloring:
+.. _graphs_coloring:
 
 Coloring
 ========
@@ -67,7 +67,7 @@ The map-coloring problem is to assign a color to each region of a map
 
     Coloring a map of Canada with four colors.
 
-.. automodule:: dwave_networkx.algorithms.coloring
+.. automodule:: dwave.graphs.algorithms.coloring
 
 .. autosummary::
     :toctree: generated/
@@ -78,7 +78,7 @@ The map-coloring problem is to assign a color to each region of a map
     vertex_color
     vertex_color_qubo
 
-.. _dnx_cover:
+.. _graphs_cover:
 
 Cover
 =====
@@ -96,7 +96,7 @@ edges of the graph are incident to at least one of the vertices in the set.
     (the horizontal tile of the Chimera unit cell) and the red set (vertical
     tile) connect to all 16 edges of the graph.
 
-.. automodule:: dwave_networkx.algorithms.cover
+.. automodule:: dwave.graphs.algorithms.cover
 
 .. autosummary::
     :toctree: generated/
@@ -105,7 +105,7 @@ edges of the graph are incident to at least one of the vertices in the set.
     min_weighted_vertex_cover
     min_vertex_cover
 
-.. _dnx_elimination_ordering:
+.. _graphs_elimination_ordering:
 
 Elimination Ordering
 ====================
@@ -122,7 +122,7 @@ whose neighborhood induces a clique. A perfect elimination ordering is an
 ordering of vertices :math:`1..n` such that any vertex :math:`i` is simplicial
 for the subset of vertices :math:`i..n`.
 
-.. automodule:: dwave_networkx.algorithms.elimination_ordering
+.. automodule:: dwave.graphs.algorithms.elimination_ordering
 
 .. autosummary::
     :toctree: generated/
@@ -138,20 +138,20 @@ for the subset of vertices :math:`i..n`.
     pegasus_elimination_order
     treewidth_branch_and_bound
 
-.. _dnx_markov:
+.. _graphs_markov:
 
 Markov Networks
 ===============
 
-.. automodule:: dwave_networkx.algorithms.markov
+.. automodule:: dwave.graphs.algorithms.markov
 
 .. autosummary::
     :toctree: generated/
 
     sample_markov_network
     markov_network_bqm
 
-.. _dnx_matching:
+.. _graphs_matching:
 
 Matching
 ========
@@ -167,7 +167,7 @@ A matching is a subset of graph edges in which no vertex occurs more than once.
     A matching for a Chimera unit cell: no vertex is incident to more than one
     edge in the set of blue edges
 
-.. automodule:: dwave_networkx.algorithms.matching
+.. automodule:: dwave.graphs.algorithms.matching
 
 .. autosummary::
     :toctree: generated/
@@ -177,7 +177,7 @@ A matching is a subset of graph edges in which no vertex occurs more than once.
     min_maximal_matching_bqm
     min_maximal_matching
 
-.. _dnx_maximum_cut:
+.. _graphs_maximum_cut:
 
 Maximum Cut
 ===========
@@ -195,15 +195,15 @@ between this subset and the remaining vertices is as large as possible.
     nodes {4, 5, 6, 7} cuts 16 edges; adding or removing a node decreases the
     number of edges between the two complementary subsets of the graph.
 
-.. automodule:: dwave_networkx.algorithms.max_cut
+.. automodule:: dwave.graphs.algorithms.max_cut
 
 .. autosummary::
     :toctree: generated/
 
     maximum_cut
     weighted_maximum_cut
 
-.. _dnx_independent_set:
+.. _graphs_independent_set:
 
 Independent Set
 ===============
@@ -222,7 +222,7 @@ its member pairs.
     (vertical tile) are independent sets of the graph, with no blue node
     adjacent to another blue node and likewise for red nodes.
 
-.. automodule:: dwave_networkx.algorithms.independent_set
+.. automodule:: dwave.graphs.algorithms.independent_set
 
 .. autosummary::
     :toctree: generated/
@@ -239,7 +239,7 @@ Helper Functions
 
     maximum_weighted_independent_set_qubo
 
-.. _dnx_partitioning:
+.. _graphs_partitioning:
 
 Partitioning
 ============
@@ -258,14 +258,14 @@ is as small as possible.
     and the nodes in red are in the '1' subset. There are no other arrangements
     with fewer edges between two equally sized subsets.
 
-.. automodule:: dwave_networkx.algorithms.partition
+.. automodule:: dwave.graphs.algorithms.partition
 
 .. autosummary::
     :toctree: generated/
 
     partition
 
-.. _dnx_social:
+.. _graphs_social:
 
 Social
 ======
@@ -284,15 +284,15 @@ friendly/hostile interactions between vertices.
     cleanly divided into two subsets, {Bob, Eve} and {Alice}, with friendly
     relations within each subset and only hostile relations between the subsets.
 
-.. automodule:: dwave_networkx.algorithms.social
+.. automodule:: dwave.graphs.algorithms.social
 
 .. autosummary::
     :toctree: generated/
 
     structural_imbalance
     structural_imbalance_ising
 
-.. _dnx_traveling_salesperson:
+.. _graphs_traveling_salesperson:
 
 Traveling Salesperson
 =====================
@@ -308,7 +308,7 @@ weighted graph.
 
     A traveling salesperson route of [2, 1, 0, 3].
 
-.. automodule:: dwave_networkx.algorithms.tsp
+.. automodule:: dwave.graphs.algorithms.tsp
 
 .. autosummary::
     :toctree: generated/

docs/api_ref.rst

@@ -1,4 +1,4 @@
-.. _dnx_api_ref:
+.. _graphs_api_ref:
 
 =============
 API Reference

docs/conf.py

@@ -1,10 +1,3 @@
-# DWaveNetworkX documentation build configuration file, created by
-# sphinx-quickstart on Wed Jul 26 10:55:26 2017.
-#
-# This file only contains a selection of the most common options. For a full
-# list see the documentation:
-# https://www.sphinx-doc.org/en/master/usage/configuration.html
-
 import os
 import sys
 sys.path.insert(0, os.path.abspath('.'))
@@ -32,13 +25,13 @@
 master_doc = 'index'
 
 # General information about the project.
-project = u'D-Wave NetworkX'
-copyright = u'2017, D-Wave Systems Inc'
-author = u'D-Wave Systems Inc'
+project = u'D-Wave Graphs'
+copyright = u'2025, D-Wave Inc'
+author = u'D-Wave Inc'
 
-import dwave_networkx
-version = dwave_networkx.__version__
-release = dwave_networkx.__version__
+import dwave.graphs
+version = dwave.graphs.__version__
+release = dwave.graphs.__version__
 
 language = 'en'
 
@@ -56,11 +49,11 @@
 
 todo_include_todos = True
 
-modindex_common_prefix = ['dwave_networkx.']
+modindex_common_prefix = ['dwave.graphs.']
 
 doctest_global_setup = \
 """
-import dwave_networkx as dnx
+import dwave.graphs
 import networkx as nx
 """
 

docs/default_sampler.rst

@@ -1,12 +1,12 @@
-.. _dnx_default_sampler:
+.. _graphs_default_sampler:
 
 ===============
 Default sampler
 ===============
 
-.. currentmodule:: dwave_networkx.default_sampler
+.. currentmodule:: dwave.graphs.default_sampler
 
-.. automodule:: dwave_networkx.default_sampler
+.. automodule:: dwave.graphs.default_sampler
 
 Functions
 =========