D-Wave NetworkX
D-Wave NetworkX is an extension of NetworkX—a Python language package for exploration and analysis of networks and network algorithms—for users of D-Wave Systems. It provides tools for working with Chimera graphs and implementations of graph-theory algorithms on the D-Wave system and other binary quadratic model samplers.
Example Usage
This example generates a graph for a Chimera unit cell (eight nodes in a 4-by-2 bipartite architecture).
>>> import dwave_networkx as dnx >>> graph = dnx.chimera_graph(1, 1, 4)
See the documentation for more examples.
Installation
Installation from PyPi:
pip install dwave_networkxInstallation from source:
pip install -r requirements.txt
python setup.py installLicense
Released under the Apache License 2.0.
3 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dwave_networkx-0.8.3.tar.gz.
File metadata
- Download URL: dwave_networkx-0.8.3.tar.gz
- Upload date:
- Size: 51.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3d91bc46562f44a7623b0f4dfb30cfe2bd5a226fa1505383697b80274cdac3b0
|
|
| MD5 |
b504035dcfca8e3b42a1270e44fb94c9
|
|
| BLAKE2b-256 |
4cfb29c19dcb981a75fe9dae2cdf3c9ccf651a1636d1d852286d2d70c730bae8
|
File details
Details for the file dwave_networkx-0.8.3-py2.py3-none-any.whl.
File metadata
- Download URL: dwave_networkx-0.8.3-py2.py3-none-any.whl
- Upload date:
- Size: 79.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7c858e1ed9d7800537c58bdeea182ae0ed05e3273e4274ee77cdbc3df3b14ea8
|
|
| MD5 |
7bb341f5541c3a53c8ce255e7fac69c8
|
|
| BLAKE2b-256 |
8095b4f1cd5eaff76a41cae5009788ce0351acd8f1fd61592c0e2ea81afa9946
|
