%global _empty_manifest_terminate_build 0 Name: python-jij-cimod Version: 1.4.54 Release: 1 Summary: C++ library for a binary (and polynomial) quadratic model. License: Apache License 2.0 URL: https://www.openjij.org Source0: https://mirrors.nju.edu.cn/pypi/web/packages/62/26/d4c61e69038fdbcd0f1882ef3a96660c39b96c05d00a1cd108a35c9470f9/jij_cimod-1.4.54.tar.gz Requires: python3-numpy Requires: python3-dimod Requires: python3-scipy %description # cimod : C++ header-only library for a binary quadratic model [![PyPI version shields.io](https://img.shields.io/pypi/v/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI implementation](https://img.shields.io/pypi/implementation/jij-cimod.svg)](https://pypi.python.org/pypi/ji-cimod/) [![PyPI format](https://img.shields.io/pypi/format/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI license](https://img.shields.io/pypi/l/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI download month](https://img.shields.io/pypi/dm/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![Downloads](https://pepy.tech/badge/jij-cimod)](https://pepy.tech/project/jij-cimod) [![Test](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml) [![Build&Upload](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml) [![CodeQL](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml) [![Build Documentation](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml) [![pages-build-deployment](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/55990ff022864098a2413c0cc4ab8299)](https://www.codacy.com/gh/OpenJij/cimod/dashboard?utm_source=github.com&utm_medium=referral&utm_content=OpenJij/cimod&utm_campaign=Badge_Grade) [![Maintainability](https://api.codeclimate.com/v1/badges/59876c82cc2200ef1dfa/maintainability)](https://codeclimate.com/github/OpenJij/cimod/maintainability) [![codecov](https://codecov.io/gh/OpenJij/cimod/branch/master/graph/badge.svg?token=BE45W9FJHA)](https://codecov.io/gh/OpenJij/cimod) ## Coverage Graph | **Sunburst** | **Grid** | **Icicle** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | | | - [Documents](https://openjij.github.io/Cimod-Documentation/) - [Python Documents](https://openjij.github.io/cimod/) # How to use You should only include a header `src/binary_quadratic_model.hpp` in your project. ## Example ### C++ ```cpp #include "src/binary_quadratic_model.hpp" using namespace cimod; int main() { // Set linear biases and quadratic biases Linear linear{ {1, 1.0}, {2, 2.0}, {3, 3.0}, {4, 4.0} }; Quadratic quadratic { {std::make_pair(1, 2), 12.0}, {std::make_pair(1, 3), 13.0}, {std::make_pair(1, 4), 14.0}, {std::make_pair(2, 3), 23.0}, {std::make_pair(2, 4), 24.0}, {std::make_pair(3, 4), 34.0} }; // Set offset double offset = 0.0; // Set variable type Vartype vartype = Vartype::BINARY; // Create a BinaryQuadraticModel instance BinaryQuadraticModel bqm(linear, quadratic, offset, vartype); //linear terms -> bqm.get_linear() //quadratic terms -> bqm.get_quadratic() return 0; } ``` ### Python ```python import cimod import dimod # Set linear biases and quadratic biases linear = {1:1.0, 2:2.0, 3:3.0, 4:4.0} quadratic = {(1,2):12.0, (1,3):13.0, (1,4):14.0, (2,3):23.0, (2,4):24.0, (3,4):34.0} # Set offset offset = 0.0 # Set variable type vartype = dimod.BINARY # Create a BinaryQuadraticModel instance bqm = cimod.BinaryQuadraticModel(linear, quadratic, offset, vartype) print(bqm.linear) print(bqm.quadratic) ``` ## For Contributor Use `pre-commit` for auto chech before git commit. `.pre-commit-config.yaml` ``` # pipx install pre-commit # or # pip install pre-commit pre-commit install ``` ## Install ### via this directory ```sh $ python -m pip install -vvv . ``` ### via pip ```sh # Binary $ pip install jij-cimod # From Source $ pip install --no-binary=jij-cimod jij-cimod ``` ## Test ### Python ```sh $ python -m venv .venv $ pip install pip-tools $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-sync requirements.txt dev-requirements.txt $ source .venv/bin/activate $ export CMAKE_BUILD_TYPE=Debug $ python setup.py --force-cmake install --build-type Debug -G Ninja $ python setup.py --build-type Debug test $ python -m coverage html ``` ### C++ ```sh $ mkdir build $ cmake -DCMAKE_BUILD_TYPE=Debug -S . -B build $ cmake --build build --parallel $ cd build $ ./tests/cimod_test # Alternatively Use CTest $ ctest --extra-verbose --parallel --schedule-random ``` Needs: CMake > 3.22, C++17 - Format ```sh $ pip-compile format-requirements.in $ pip-sync format-requirements.txt ``` ```sh $ python -m isort $ python -m black ``` - Aggressive Format ```sh $ python -m isort --force-single-line-imports --verbose ./cimod $ python -m autoflake --in-place --recursive --remove-all-unused-imports --ignore-init-module-imports --remove-unused-variables ./cimod $ python -m autopep8 --in-place --aggressive --aggressive --recursive ./cimod $ python -m isort ./cimod $ python -m black ./cimod ``` - Lint ```sh $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-compile lint-requirements.in $ pip-sync requirements.txt dev-requirements.txt lint-requirements.txt ``` ```sh $ python -m flake8 $ python -m mypy $ python -m pyright ``` ## Benchmark ### Benchmark code ```python import dimod import cimod import time fil = open("benchmark", "w") fil.write("N t_dimod t_cimod\n") def benchmark(N, test_fw): linear = {} quadratic = {} spin = {} # interactions for i in range(N): spin[i] = 1 for elem in range(N): linear[elem] = 2.0*elem; for i in range(N): for j in range(i+1, N): if i != j: quadratic[(i,j)] = (i+j)/(N) t1 = time.time() # initialize a = test_fw.BinaryQuadraticModel(linear, quadratic, 0, test_fw.BINARY) a.change_vartype(test_fw.SPIN) # calculate energy for 50 times. for _ in range(50): print(a.energy(spin)) t2 = time.time() return t2-t1 d_arr = [] c_arr = [] for N in [25, 50, 100, 200, 300, 400, 600, 800,1000, 1600, 2000, 3200, 5000]: print("N {}".format(N)) d = benchmark(N, dimod) c = benchmark(N, cimod) print("{} {} {}".format(N, d, c)) fil.write("{} {} {}\n".format(N, d, c)) ``` ### Software versions | Package | Version | | ---------------------------------------------- | ------- | | [cimod](https://github.com/OpenJij/cimod) | 1.0.3 | | [dimod](https://github.com/dwavesystems/dimod) | 0.9.2 | ### Result ![benchmark](https://github.com/OpenJij/cimod/blob/image_store/figure.png) ### Licences Copyright 2022 Jij Inc. Licensed under the Apache License, Version 2.0 (the "License");\ you may not use this file except in compliance with the License.\ You may obtain a copy of the License at ``` http://www.apache.org/licenses/LICENSE-2.0 ``` Unless required by applicable law or agreed to in writing, software\ distributed under the License is distributed on an "AS IS" BASIS,\ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\ See the License for the specific language governing permissions and\ limitations under the License. %package -n python3-jij-cimod Summary: C++ library for a binary (and polynomial) quadratic model. Provides: python-jij-cimod BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-jij-cimod # cimod : C++ header-only library for a binary quadratic model [![PyPI version shields.io](https://img.shields.io/pypi/v/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI implementation](https://img.shields.io/pypi/implementation/jij-cimod.svg)](https://pypi.python.org/pypi/ji-cimod/) [![PyPI format](https://img.shields.io/pypi/format/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI license](https://img.shields.io/pypi/l/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI download month](https://img.shields.io/pypi/dm/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![Downloads](https://pepy.tech/badge/jij-cimod)](https://pepy.tech/project/jij-cimod) [![Test](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml) [![Build&Upload](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml) [![CodeQL](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml) [![Build Documentation](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml) [![pages-build-deployment](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/55990ff022864098a2413c0cc4ab8299)](https://www.codacy.com/gh/OpenJij/cimod/dashboard?utm_source=github.com&utm_medium=referral&utm_content=OpenJij/cimod&utm_campaign=Badge_Grade) [![Maintainability](https://api.codeclimate.com/v1/badges/59876c82cc2200ef1dfa/maintainability)](https://codeclimate.com/github/OpenJij/cimod/maintainability) [![codecov](https://codecov.io/gh/OpenJij/cimod/branch/master/graph/badge.svg?token=BE45W9FJHA)](https://codecov.io/gh/OpenJij/cimod) ## Coverage Graph | **Sunburst** | **Grid** | **Icicle** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | | | - [Documents](https://openjij.github.io/Cimod-Documentation/) - [Python Documents](https://openjij.github.io/cimod/) # How to use You should only include a header `src/binary_quadratic_model.hpp` in your project. ## Example ### C++ ```cpp #include "src/binary_quadratic_model.hpp" using namespace cimod; int main() { // Set linear biases and quadratic biases Linear linear{ {1, 1.0}, {2, 2.0}, {3, 3.0}, {4, 4.0} }; Quadratic quadratic { {std::make_pair(1, 2), 12.0}, {std::make_pair(1, 3), 13.0}, {std::make_pair(1, 4), 14.0}, {std::make_pair(2, 3), 23.0}, {std::make_pair(2, 4), 24.0}, {std::make_pair(3, 4), 34.0} }; // Set offset double offset = 0.0; // Set variable type Vartype vartype = Vartype::BINARY; // Create a BinaryQuadraticModel instance BinaryQuadraticModel bqm(linear, quadratic, offset, vartype); //linear terms -> bqm.get_linear() //quadratic terms -> bqm.get_quadratic() return 0; } ``` ### Python ```python import cimod import dimod # Set linear biases and quadratic biases linear = {1:1.0, 2:2.0, 3:3.0, 4:4.0} quadratic = {(1,2):12.0, (1,3):13.0, (1,4):14.0, (2,3):23.0, (2,4):24.0, (3,4):34.0} # Set offset offset = 0.0 # Set variable type vartype = dimod.BINARY # Create a BinaryQuadraticModel instance bqm = cimod.BinaryQuadraticModel(linear, quadratic, offset, vartype) print(bqm.linear) print(bqm.quadratic) ``` ## For Contributor Use `pre-commit` for auto chech before git commit. `.pre-commit-config.yaml` ``` # pipx install pre-commit # or # pip install pre-commit pre-commit install ``` ## Install ### via this directory ```sh $ python -m pip install -vvv . ``` ### via pip ```sh # Binary $ pip install jij-cimod # From Source $ pip install --no-binary=jij-cimod jij-cimod ``` ## Test ### Python ```sh $ python -m venv .venv $ pip install pip-tools $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-sync requirements.txt dev-requirements.txt $ source .venv/bin/activate $ export CMAKE_BUILD_TYPE=Debug $ python setup.py --force-cmake install --build-type Debug -G Ninja $ python setup.py --build-type Debug test $ python -m coverage html ``` ### C++ ```sh $ mkdir build $ cmake -DCMAKE_BUILD_TYPE=Debug -S . -B build $ cmake --build build --parallel $ cd build $ ./tests/cimod_test # Alternatively Use CTest $ ctest --extra-verbose --parallel --schedule-random ``` Needs: CMake > 3.22, C++17 - Format ```sh $ pip-compile format-requirements.in $ pip-sync format-requirements.txt ``` ```sh $ python -m isort $ python -m black ``` - Aggressive Format ```sh $ python -m isort --force-single-line-imports --verbose ./cimod $ python -m autoflake --in-place --recursive --remove-all-unused-imports --ignore-init-module-imports --remove-unused-variables ./cimod $ python -m autopep8 --in-place --aggressive --aggressive --recursive ./cimod $ python -m isort ./cimod $ python -m black ./cimod ``` - Lint ```sh $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-compile lint-requirements.in $ pip-sync requirements.txt dev-requirements.txt lint-requirements.txt ``` ```sh $ python -m flake8 $ python -m mypy $ python -m pyright ``` ## Benchmark ### Benchmark code ```python import dimod import cimod import time fil = open("benchmark", "w") fil.write("N t_dimod t_cimod\n") def benchmark(N, test_fw): linear = {} quadratic = {} spin = {} # interactions for i in range(N): spin[i] = 1 for elem in range(N): linear[elem] = 2.0*elem; for i in range(N): for j in range(i+1, N): if i != j: quadratic[(i,j)] = (i+j)/(N) t1 = time.time() # initialize a = test_fw.BinaryQuadraticModel(linear, quadratic, 0, test_fw.BINARY) a.change_vartype(test_fw.SPIN) # calculate energy for 50 times. for _ in range(50): print(a.energy(spin)) t2 = time.time() return t2-t1 d_arr = [] c_arr = [] for N in [25, 50, 100, 200, 300, 400, 600, 800,1000, 1600, 2000, 3200, 5000]: print("N {}".format(N)) d = benchmark(N, dimod) c = benchmark(N, cimod) print("{} {} {}".format(N, d, c)) fil.write("{} {} {}\n".format(N, d, c)) ``` ### Software versions | Package | Version | | ---------------------------------------------- | ------- | | [cimod](https://github.com/OpenJij/cimod) | 1.0.3 | | [dimod](https://github.com/dwavesystems/dimod) | 0.9.2 | ### Result ![benchmark](https://github.com/OpenJij/cimod/blob/image_store/figure.png) ### Licences Copyright 2022 Jij Inc. Licensed under the Apache License, Version 2.0 (the "License");\ you may not use this file except in compliance with the License.\ You may obtain a copy of the License at ``` http://www.apache.org/licenses/LICENSE-2.0 ``` Unless required by applicable law or agreed to in writing, software\ distributed under the License is distributed on an "AS IS" BASIS,\ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\ See the License for the specific language governing permissions and\ limitations under the License. %package help Summary: Development documents and examples for jij-cimod Provides: python3-jij-cimod-doc %description help # cimod : C++ header-only library for a binary quadratic model [![PyPI version shields.io](https://img.shields.io/pypi/v/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI implementation](https://img.shields.io/pypi/implementation/jij-cimod.svg)](https://pypi.python.org/pypi/ji-cimod/) [![PyPI format](https://img.shields.io/pypi/format/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI license](https://img.shields.io/pypi/l/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![PyPI download month](https://img.shields.io/pypi/dm/jij-cimod.svg)](https://pypi.python.org/pypi/jij-cimod/) [![Downloads](https://pepy.tech/badge/jij-cimod)](https://pepy.tech/project/jij-cimod) [![Test](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/ci-test.yml) [![Build&Upload](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/build_and_upload.yaml) [![CodeQL](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/codeql.yml) [![Build Documentation](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/buid-doc.yml) [![pages-build-deployment](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/OpenJij/cimod/actions/workflows/pages/pages-build-deployment) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/55990ff022864098a2413c0cc4ab8299)](https://www.codacy.com/gh/OpenJij/cimod/dashboard?utm_source=github.com&utm_medium=referral&utm_content=OpenJij/cimod&utm_campaign=Badge_Grade) [![Maintainability](https://api.codeclimate.com/v1/badges/59876c82cc2200ef1dfa/maintainability)](https://codeclimate.com/github/OpenJij/cimod/maintainability) [![codecov](https://codecov.io/gh/OpenJij/cimod/branch/master/graph/badge.svg?token=BE45W9FJHA)](https://codecov.io/gh/OpenJij/cimod) ## Coverage Graph | **Sunburst** | **Grid** | **Icicle** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | | | - [Documents](https://openjij.github.io/Cimod-Documentation/) - [Python Documents](https://openjij.github.io/cimod/) # How to use You should only include a header `src/binary_quadratic_model.hpp` in your project. ## Example ### C++ ```cpp #include "src/binary_quadratic_model.hpp" using namespace cimod; int main() { // Set linear biases and quadratic biases Linear linear{ {1, 1.0}, {2, 2.0}, {3, 3.0}, {4, 4.0} }; Quadratic quadratic { {std::make_pair(1, 2), 12.0}, {std::make_pair(1, 3), 13.0}, {std::make_pair(1, 4), 14.0}, {std::make_pair(2, 3), 23.0}, {std::make_pair(2, 4), 24.0}, {std::make_pair(3, 4), 34.0} }; // Set offset double offset = 0.0; // Set variable type Vartype vartype = Vartype::BINARY; // Create a BinaryQuadraticModel instance BinaryQuadraticModel bqm(linear, quadratic, offset, vartype); //linear terms -> bqm.get_linear() //quadratic terms -> bqm.get_quadratic() return 0; } ``` ### Python ```python import cimod import dimod # Set linear biases and quadratic biases linear = {1:1.0, 2:2.0, 3:3.0, 4:4.0} quadratic = {(1,2):12.0, (1,3):13.0, (1,4):14.0, (2,3):23.0, (2,4):24.0, (3,4):34.0} # Set offset offset = 0.0 # Set variable type vartype = dimod.BINARY # Create a BinaryQuadraticModel instance bqm = cimod.BinaryQuadraticModel(linear, quadratic, offset, vartype) print(bqm.linear) print(bqm.quadratic) ``` ## For Contributor Use `pre-commit` for auto chech before git commit. `.pre-commit-config.yaml` ``` # pipx install pre-commit # or # pip install pre-commit pre-commit install ``` ## Install ### via this directory ```sh $ python -m pip install -vvv . ``` ### via pip ```sh # Binary $ pip install jij-cimod # From Source $ pip install --no-binary=jij-cimod jij-cimod ``` ## Test ### Python ```sh $ python -m venv .venv $ pip install pip-tools $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-sync requirements.txt dev-requirements.txt $ source .venv/bin/activate $ export CMAKE_BUILD_TYPE=Debug $ python setup.py --force-cmake install --build-type Debug -G Ninja $ python setup.py --build-type Debug test $ python -m coverage html ``` ### C++ ```sh $ mkdir build $ cmake -DCMAKE_BUILD_TYPE=Debug -S . -B build $ cmake --build build --parallel $ cd build $ ./tests/cimod_test # Alternatively Use CTest $ ctest --extra-verbose --parallel --schedule-random ``` Needs: CMake > 3.22, C++17 - Format ```sh $ pip-compile format-requirements.in $ pip-sync format-requirements.txt ``` ```sh $ python -m isort $ python -m black ``` - Aggressive Format ```sh $ python -m isort --force-single-line-imports --verbose ./cimod $ python -m autoflake --in-place --recursive --remove-all-unused-imports --ignore-init-module-imports --remove-unused-variables ./cimod $ python -m autopep8 --in-place --aggressive --aggressive --recursive ./cimod $ python -m isort ./cimod $ python -m black ./cimod ``` - Lint ```sh $ pip-compile setup.cfg $ pip-compile dev-requirements.in $ pip-compile lint-requirements.in $ pip-sync requirements.txt dev-requirements.txt lint-requirements.txt ``` ```sh $ python -m flake8 $ python -m mypy $ python -m pyright ``` ## Benchmark ### Benchmark code ```python import dimod import cimod import time fil = open("benchmark", "w") fil.write("N t_dimod t_cimod\n") def benchmark(N, test_fw): linear = {} quadratic = {} spin = {} # interactions for i in range(N): spin[i] = 1 for elem in range(N): linear[elem] = 2.0*elem; for i in range(N): for j in range(i+1, N): if i != j: quadratic[(i,j)] = (i+j)/(N) t1 = time.time() # initialize a = test_fw.BinaryQuadraticModel(linear, quadratic, 0, test_fw.BINARY) a.change_vartype(test_fw.SPIN) # calculate energy for 50 times. for _ in range(50): print(a.energy(spin)) t2 = time.time() return t2-t1 d_arr = [] c_arr = [] for N in [25, 50, 100, 200, 300, 400, 600, 800,1000, 1600, 2000, 3200, 5000]: print("N {}".format(N)) d = benchmark(N, dimod) c = benchmark(N, cimod) print("{} {} {}".format(N, d, c)) fil.write("{} {} {}\n".format(N, d, c)) ``` ### Software versions | Package | Version | | ---------------------------------------------- | ------- | | [cimod](https://github.com/OpenJij/cimod) | 1.0.3 | | [dimod](https://github.com/dwavesystems/dimod) | 0.9.2 | ### Result ![benchmark](https://github.com/OpenJij/cimod/blob/image_store/figure.png) ### Licences Copyright 2022 Jij Inc. Licensed under the Apache License, Version 2.0 (the "License");\ you may not use this file except in compliance with the License.\ You may obtain a copy of the License at ``` http://www.apache.org/licenses/LICENSE-2.0 ``` Unless required by applicable law or agreed to in writing, software\ distributed under the License is distributed on an "AS IS" BASIS,\ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\ See the License for the specific language governing permissions and\ limitations under the License. %prep %autosetup -n jij-cimod-1.4.54 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-jij-cimod -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.4.54-1 - Package Spec generated