.. image:: https://img.shields.io/pypi/v/minorminer.svg
:target: https://pypi.org/project/minorminer
.. image:: https://img.shields.io/pypi/pyversions/minorminer.svg
:target: https://pypi.python.org/pypi/minorminer
.. image:: https://circleci.com/gh/dwavesystems/minorminer.svg?style=svg
:target: https://circleci.com/gh/dwavesystems/minorminer
.. image:: https://img.shields.io/badge/arXiv-1406.2741-b31b1b.svg
:target: https://arxiv.org/abs/1406.2741
.. image:: https://img.shields.io/badge/arXiv-1507.04774-b31b1b.svg
:target: https://arxiv.org/abs/1507.04774
==========
minorminer
==========
.. start_minorminer_about
`minorminer` is a heuristic tool for minor embedding: given a minor and target
graph, it tries to find a mapping that embeds the minor into the target.
.. start_minorminer_about_general_embedding
The primary utility function, ``find_embedding()``, is an implementation of
the heuristic algorithm described in [1]. It accepts various optional parameters
used to tune the algorithm's execution or constrain the given problem.
This implementation performs on par with tuned, non-configurable implementations
while providing users with hooks to easily use the code as a basic building
block in research.
[1] https://arxiv.org/abs/1406.2741
Another function, ``find_clique_embedding()``, can be used to find clique
embeddings for Chimera, Pegasus, and Zephyr graphs in polynomial time. It is an
implementation of the algorithm described in [2]. There are additional utilities
for finding biclique embeddings as well.
[2] https://arxiv.org/abs/1507.04774
.. end_minorminer_about
Python
======
Installation
------------
pip installation is recommended for platforms with precompiled wheels posted to
pypi. Source distributions are provided as well.
.. code-block:: bash
pip install minorminer
To install from this repository, you will need to first fetch the submodules
git submodule init
git submodule update
and then run the `setuptools` script.
.. code-block:: bash
pip install -r requirements.txt
python setup.py install
# optionally, run the tests to check your build
pip install -r tests/requirements.txt
python -m pytest .
Examples
--------
.. start_minorminer_examples_python
.. code-block:: python
from minorminer import find_embedding
# A triangle is a minor of a square.
triangle = [(0, 1), (1, 2), (2, 0)]
square = [(0, 1), (1, 2), (2, 3), (3, 0)]
# Find an assignment of sets of square variables to the triangle variables
embedding = find_embedding(triangle, square, random_seed=10)
print(len(embedding)) # 3, one set for each variable in the triangle
print(embedding)
# We don't know which variables will be assigned where, here are a
# couple possible outputs:
# [[0, 1], [2], [3]]
# [[3], [1, 0], [2]]
.. code-block:: python
# We can insist that variable 0 of the triangle will always be assigned to [2]
embedding = find_embedding(triangle, square, fixed_chains={0: [2]})
print(embedding)
# [[2], [3, 0], [1]]
# [[2], [1], [0, 3]]
# And more, but all of them start with [2]
.. code-block:: python
# If we didn't want to force variable 0 to stay as [2], but we thought that
# was a good start we could provide it as an initialization hint instead.
embedding = find_embedding(triangle, square, initial_chains={0: [2]})
print(embedding)
# [[2], [0, 3], [1]]
# [[0], [3], [1, 2]]
# Output where variable 0 has switched to something else is possible again.
.. code-block:: python
import networkx as nx
# An example on some less trivial graphs
# We will try to embed a fully connected graph with 6 nodes, into a
# random regular graph with degree 3.
clique = nx.complete_graph(6).edges()
target_graph = nx.random_regular_graph(d=3, n=30).edges()
embedding = find_embedding(clique, target_graph)
print(embedding)
# There are many possible outputs for this, sometimes it might even fail
# and return an empty list
A more fleshed out example can be found under `examples/fourcolor.py`
.. code-block:: bash
cd examples
pip install -r requirements.txt
python fourcolor.py
.. end_minorminer_examples_python
C++
===
Installation
------------
The `CMakeLists.txt` in the root of this repo will build the library and
optionally run a series of tests. On Linux, the commands would be something like
this:
.. code-block:: bash
mkdir build; cd build
cmake ..
make
To build the tests, turn the CMake option `MINORMINER_BUILD_TESTS` on. The
command line option for CMake to do this would be `-DMINORMINER_BUILD_TESTS=ON`.
Library Usage
-------------
C++11 programs should be able to use this as a header-only library. If your
project is using CMake, this library can be used fairly simply; if you have
checked out this repo as `externals/minorminer` in your project, you would need
to add the following lines to your `CMakeLists.txt`
.. code-block:: CMake
add_subdirectory(externals/minorminer)
# After your target is defined
target_link_libraries(your_target minorminer pthread)
Examples
--------
A minimal buildable example can be found in this repo under
`examples/example.cpp`.
.. code-block:: bash
cd examples
g++ example.cpp -std=c++11 -o example -pthread
This can also be built using the included `CMakeLists.txt` along with the main
library build by turning the CMake option `MINORMINER_BUILD_EXAMPLES` on. The
command line option for CMake to do this would be
`-DMINORMINER_BUILD_EXAMPLES=ON`.
License
=======
Released under the Apache License 2.0. See `<LICENSE>`_ file.
Contributing
============
Ocean's `contributing guide <https://docs.dwavequantum.com/en/latest/ocean/contribute.html>`_
has guidelines for contributing to Ocean packages.
If you're interested in adding or modifying parameters of the ``find_embedding``
primary utility function, please see the `<parameter_checklist.txt>`_ file.
Release Notes
-------------
``minorminer`` makes use of `reno <https://docs.openstack.org/reno/>`_
to manage its release notes.
When making a contribution to ``minorminer`` that will affect users,
create a new release note file by running
.. code-block:: bash
reno new your-short-descriptor-here
You can then edit the file created under ``releasenotes/notes/``. Remove any sections
not relevant to your changes. Commit the file along with your changes.
See reno's `user guide <https://docs.openstack.org/reno/latest/user/usage.html>`_
for details.
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"description": ".. image:: https://img.shields.io/pypi/v/minorminer.svg\n :target: https://pypi.org/project/minorminer\n\n.. image:: https://img.shields.io/pypi/pyversions/minorminer.svg\n :target: https://pypi.python.org/pypi/minorminer\n\n.. image:: https://circleci.com/gh/dwavesystems/minorminer.svg?style=svg\n :target: https://circleci.com/gh/dwavesystems/minorminer\n\n.. image:: https://img.shields.io/badge/arXiv-1406.2741-b31b1b.svg\n :target: https://arxiv.org/abs/1406.2741\n\n.. image:: https://img.shields.io/badge/arXiv-1507.04774-b31b1b.svg\n :target: https://arxiv.org/abs/1507.04774\n\n\n==========\nminorminer\n==========\n\n.. start_minorminer_about\n\n`minorminer` is a heuristic tool for minor embedding: given a minor and target\ngraph, it tries to find a mapping that embeds the minor into the target.\n\n.. start_minorminer_about_general_embedding\n\nThe primary utility function, ``find_embedding()``, is an implementation of\nthe heuristic algorithm described in [1]. It accepts various optional parameters\nused to tune the algorithm's execution or constrain the given problem.\n\nThis implementation performs on par with tuned, non-configurable implementations\nwhile providing users with hooks to easily use the code as a basic building\nblock in research.\n\n[1] https://arxiv.org/abs/1406.2741\n\nAnother function, ``find_clique_embedding()``, can be used to find clique\nembeddings for Chimera, Pegasus, and Zephyr graphs in polynomial time. It is an\nimplementation of the algorithm described in [2]. There are additional utilities\nfor finding biclique embeddings as well.\n\n[2] https://arxiv.org/abs/1507.04774\n\n.. end_minorminer_about\n\nPython\n======\n\nInstallation\n------------\n\npip installation is recommended for platforms with precompiled wheels posted to\npypi. Source distributions are provided as well.\n\n.. code-block:: bash\n\n pip install minorminer\n\nTo install from this repository, you will need to first fetch the submodules\n\n git submodule init\n git submodule update\n\nand then run the `setuptools` script.\n\n.. code-block:: bash\n\n\n pip install -r requirements.txt\n python setup.py install\n # optionally, run the tests to check your build\n pip install -r tests/requirements.txt\n python -m pytest .\n\n\nExamples\n--------\n\n.. start_minorminer_examples_python\n\n.. code-block:: python\n\n from minorminer import find_embedding\n\n # A triangle is a minor of a square.\n triangle = [(0, 1), (1, 2), (2, 0)]\n square = [(0, 1), (1, 2), (2, 3), (3, 0)]\n\n # Find an assignment of sets of square variables to the triangle variables\n embedding = find_embedding(triangle, square, random_seed=10)\n print(len(embedding)) # 3, one set for each variable in the triangle\n print(embedding)\n # We don't know which variables will be assigned where, here are a\n # couple possible outputs:\n # [[0, 1], [2], [3]]\n # [[3], [1, 0], [2]]\n\n.. code-block:: python\n\n # We can insist that variable 0 of the triangle will always be assigned to [2]\n embedding = find_embedding(triangle, square, fixed_chains={0: [2]})\n print(embedding)\n # [[2], [3, 0], [1]]\n # [[2], [1], [0, 3]]\n # And more, but all of them start with [2]\n\n.. code-block:: python\n\n # If we didn't want to force variable 0 to stay as [2], but we thought that\n # was a good start we could provide it as an initialization hint instead.\n embedding = find_embedding(triangle, square, initial_chains={0: [2]})\n print(embedding)\n # [[2], [0, 3], [1]]\n # [[0], [3], [1, 2]]\n # Output where variable 0 has switched to something else is possible again.\n\n.. code-block:: python\n\n import networkx as nx\n\n # An example on some less trivial graphs\n # We will try to embed a fully connected graph with 6 nodes, into a\n # random regular graph with degree 3.\n clique = nx.complete_graph(6).edges()\n target_graph = nx.random_regular_graph(d=3, n=30).edges()\n\n embedding = find_embedding(clique, target_graph)\n\n print(embedding)\n # There are many possible outputs for this, sometimes it might even fail\n # and return an empty list\n\nA more fleshed out example can be found under `examples/fourcolor.py`\n\n.. code-block:: bash\n\n cd examples\n pip install -r requirements.txt\n python fourcolor.py\n\n.. end_minorminer_examples_python\n\nC++\n===\n\nInstallation\n------------\n\nThe `CMakeLists.txt` in the root of this repo will build the library and\noptionally run a series of tests. 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