eigenpy repository

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version devel
Last Updated 2024-04-09
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version devel
Last Updated 2024-04-09
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version devel
Last Updated 2024-04-09
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version master
Last Updated 2024-02-26
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version master
Last Updated 2024-02-26
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version devel
Last Updated 2024-04-09
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version master
Last Updated 2024-02-26
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version master
Last Updated 2024-02-26
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/stack-of-tasks/eigenpy.git
VCS Type git
VCS Version master
Last Updated 2024-02-26
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
eigenpy 3.4.0

README

EigenPy — Versatile and efficient Python bindings between Numpy and Eigen

License Build Status Conda Downloads Conda Version PyPI version Code style: black Linter: ruff

EigenPy is an open-source framework that allows the binding of the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides: - full memory sharing between Numpy and Eigen, avoiding memory allocation - full support Eigen::Ref avoiding memory allocation - full support of the Eigen::Tensor module - exposition of the Geometry module of Eigen for easy code prototyping - standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc. - full support of SWIG objects - full support of runtime declaration of Numpy scalar types - extended API to expose std::vector types - full support of vectorization between C++ and Python (all the hold objects are properly aligned in memory)

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X, and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binaries.

Add robotpkg apt repository

  1. Add robotpkg as source repository to apt:
sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

  1. Register the authentication certificate of robotpkg:
curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

  1. You need to run at least one apt update to fetch the package descriptions:
sudo apt-get update

Install EigenPy

  1. The installation of EigenPy and its dependencies is made through the line:
sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the Python 3, you want to work this (e.g., robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the software repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy:

If you have taken part in the development of EigenPy, feel free to add your name and contribution here.

Acknowledgments

The development of EigenPy is supported by the Gepetto team @LAAS-CNRS and the Willow team @INRIA.

CONTRIBUTING

No CONTRIBUTING.md found.