minorminer


Nameminorminer JSON
Version 0.2.16 PyPI version JSON
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home_pageNone
Summaryheuristic algorithm to find graph minor embeddings
upload_time2024-10-15 21:58:49
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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            .. 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

.. index-start-marker

==========
minorminer
==========

`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.

.. index-end-marker

.. general-embedding-start-marker

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

.. general-embedding-end-marker

Python
======

Installation
------------

.. install-python-start

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 test_requirements.txt
    python -m pytest .


.. install-python-end

Examples
--------

.. 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

Matlab (Deprecated)
===================

Matlab support is deprecated as of vesion 0.2.8, and we will not accept bug reports
in later versions.  The matlab interface has been broken for the entire 0.2 series,
and more than a year passed before this was discovered.  It will be fixed in the 
0.2.8 release, but the matlab support infrastructure will be removed entirely in
May 2023, unless community developers volunteer to maintain it.

Installation
------------

.. install-matlab-start

The mex bindings for this library will work with some versions of 2013 and earlier,
and versions from 2016b an onward. An example build command used in Ubuntu is
found in the makefile `matlab/make.m`.

If you run `make` in the `matlab` directory on Ubuntu it should generate
`find_embedding.mexa64`, which can be added to the MATLAB path.

.. install-matlab-end

Examples
--------

.. code-block:: matlab

    % A triangle is a minor of a square.
    triangle = triu(ones(3),1);
    square = sparse([1,2,3,4],[2,3,4,1],[1,1,1,1],4,4);

    % Find an assignment of sets of square variables to the triangle variables
    options = struct('random_seed',10);
    embedding = find_embedding_matlab_wrapper(triangle, square, options)
    % typically in matlab we use indices starting at one rather than 0:
    embedding = cellfun(@(x)x+1,embedding,'UniformOutput',false);
    embedding{:}

.. code-block:: matlab

    % We can insist that variable 0 of the triangle will always be assigned to
    % [2] (zero-indexed)
    chains = cell(1);
    chains{1} = 2;
    options = struct();
    options.fixed_chains = chains;
    embedding = find_embedding(triangle, square, options)
    embedding{:}

.. code-block:: matlab

    % 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.
    options = struct();
    options.initial_chains = chains;
    embedding = find_embedding(triangle, square, options)
    embedding{:}

C++
===

Installation
------------

.. install-c-start

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)

.. install-c-end

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.ocean.dwavesys.com/en/stable/contributing.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.


            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "minorminer",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "\"D-Wave Inc.\" <tools@dwavesys.com>",
    "keywords": null,
    "author": null,
    "author_email": "Kelly Boothby <boothby@dwavesys.com>",
    "download_url": "https://files.pythonhosted.org/packages/a6/75/482b4bdda78d57d24f706f8e67ef245caf1de89805ab7275e5e3324cda82/minorminer-0.2.16.tar.gz",
    "platform": null,
    "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.. index-start-marker\n\n==========\nminorminer\n==========\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.. index-end-marker\n\n.. general-embedding-start-marker\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 embeddings\nfor Chimera, Pegasus, and Zephyr graphs in polynomial time. It is an implementation\nof the algorithm described in [2]. There are additional utilities for finding\nbiclique embeddings as well.\n\n[2] https://arxiv.org/abs/1507.04774\n\n.. general-embedding-end-marker\n\nPython\n======\n\nInstallation\n------------\n\n.. install-python-start\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 test_requirements.txt\n    python -m pytest .\n\n\n.. install-python-end\n\nExamples\n--------\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\nMatlab (Deprecated)\n===================\n\nMatlab support is deprecated as of vesion 0.2.8, and we will not accept bug reports\nin later versions.  The matlab interface has been broken for the entire 0.2 series,\nand more than a year passed before this was discovered.  It will be fixed in the \n0.2.8 release, but the matlab support infrastructure will be removed entirely in\nMay 2023, unless community developers volunteer to maintain it.\n\nInstallation\n------------\n\n.. install-matlab-start\n\nThe mex bindings for this library will work with some versions of 2013 and earlier,\nand versions from 2016b an onward. An example build command used in Ubuntu is\nfound in the makefile `matlab/make.m`.\n\nIf you run `make` in the `matlab` directory on Ubuntu it should generate\n`find_embedding.mexa64`, which can be added to the MATLAB path.\n\n.. install-matlab-end\n\nExamples\n--------\n\n.. code-block:: matlab\n\n    % A triangle is a minor of a square.\n    triangle = triu(ones(3),1);\n    square = sparse([1,2,3,4],[2,3,4,1],[1,1,1,1],4,4);\n\n    % Find an assignment of sets of square variables to the triangle variables\n    options = struct('random_seed',10);\n    embedding = find_embedding_matlab_wrapper(triangle, square, options)\n    % typically in matlab we use indices starting at one rather than 0:\n    embedding = cellfun(@(x)x+1,embedding,'UniformOutput',false);\n    embedding{:}\n\n.. code-block:: matlab\n\n    % We can insist that variable 0 of the triangle will always be assigned to\n    % [2] (zero-indexed)\n    chains = cell(1);\n    chains{1} = 2;\n    options = struct();\n    options.fixed_chains = chains;\n    embedding = find_embedding(triangle, square, options)\n    embedding{:}\n\n.. code-block:: matlab\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    options = struct();\n    options.initial_chains = chains;\n    embedding = find_embedding(triangle, square, options)\n    embedding{:}\n\nC++\n===\n\nInstallation\n------------\n\n.. install-c-start\n\nThe `CMakeLists.txt` in the root of this repo will build the library and\noptionally run a series of tests. On Linux, the commands would be something like\nthis:\n\n.. code-block:: bash\n\n    mkdir build; cd build\n    cmake ..\n    make\n\nTo build the tests, turn the CMake option `MINORMINER_BUILD_TESTS` on. The\ncommand line option for CMake to do this would be `-DMINORMINER_BUILD_TESTS=ON`.\n\nLibrary Usage\n-------------\n\nC++11 programs should be able to use this as a header-only library. If your\nproject is using CMake, this library can be used fairly simply; if you have\nchecked out this repo as `externals/minorminer` in your project, you would need\nto add the following lines to your `CMakeLists.txt`\n\n.. code-block:: CMake\n\n    add_subdirectory(externals/minorminer)\n\n    # After your target is defined\n    target_link_libraries(your_target minorminer pthread)\n\n.. install-c-end\n\nExamples\n--------\n\nA minimal buildable example can be found in this repo under\n`examples/example.cpp`.\n\n.. code-block:: bash\n\n    cd examples\n    g++ example.cpp -std=c++11 -o example -pthread\n\nThis can also be built using the included `CMakeLists.txt` along with the main\nlibrary build by turning the CMake option `MINORMINER_BUILD_EXAMPLES` on. The\ncommand line option for CMake to do this would be\n`-DMINORMINER_BUILD_EXAMPLES=ON`.\n\nLicense\n=======\n\nReleased under the Apache License 2.0. See `<LICENSE>`_ file.\n\nContributing\n============\n\nOcean's `contributing guide <https://docs.ocean.dwavesys.com/en/stable/contributing.html>`_\nhas guidelines for contributing to Ocean packages.\n\nIf you're interested in adding or modifying parameters of the ``find_embedding`` \nprimary utility function, please see the `<parameter_checklist.txt>`_ file.\n\n",
    "bugtrack_url": null,
    "license": "Apache License  Version 2.0, January 2004  http://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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