{"id":22282859,"url":"https://github.com/matthieumeo/pycsou-sphere","last_synced_at":"2025-03-25T19:45:52.535Z","repository":{"id":62579680,"uuid":"344473027","full_name":"matthieumeo/pycsou-sphere","owner":"matthieumeo","description":"Pycsou extension module for linear inverse problems involving signals defined on the sphere.","archived":false,"fork":false,"pushed_at":"2021-04-23T11:43:58.000Z","size":763,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-31T09:46:58.437Z","etag":null,"topics":["healpix","pycsou","python3","sphere","spherical-convolution","spherical-geometry","spherical-harmonics","spherical-signal-processing"],"latest_commit_sha":null,"homepage":"https://matthieumeo.github.io/pycsou-sphere/html/index","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/matthieumeo.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-03-04T12:51:24.000Z","updated_at":"2021-04-23T09:26:22.000Z","dependencies_parsed_at":"2022-11-03T21:00:59.314Z","dependency_job_id":null,"html_url":"https://github.com/matthieumeo/pycsou-sphere","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matthieumeo%2Fpycsou-sphere","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matthieumeo%2Fpycsou-sphere/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matthieumeo%2Fpycsou-sphere/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matthieumeo%2Fpycsou-sphere/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matthieumeo","download_url":"https://codeload.github.com/matthieumeo/pycsou-sphere/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245534669,"owners_count":20631288,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["healpix","pycsou","python3","sphere","spherical-convolution","spherical-geometry","spherical-harmonics","spherical-signal-processing"],"created_at":"2024-12-03T16:36:52.554Z","updated_at":"2025-03-25T19:45:52.516Z","avatar_url":"https://github.com/matthieumeo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":".. image:: https://matthieumeo.github.io/pycsou/html/_images/pycsou.png\n  :width: 50 %\n  :align: center\n  :target: https://github.com/matthieumeo/pycsou-sphere\n\n.. image:: https://zenodo.org/badge/277582581.svg\n   :target: https://zenodo.org/badge/latestdoi/277582581\n\n\n*Pycsou-sphere* is an extension module of the Python 3 package `Pycsou \u003chttps://github.com/matthieumeo/pycsou\u003e`_ for solving linear inverse problems on the sphere. The extension offers implementations of spherical zonal *convolution* operators as well as the spherical harmonic and Fourier-Legendre transforms (all compatible with Pycsou's interface for linear operators). It also provides numerical routines for computing the Green kernels of common spherical pseudo-differential operators and generating spherical meshes/point sets. \n\nThis module heavily relies and follows similar conventions as the `healpy \u003chttps://healpy.readthedocs.io/en/latest/index.html\u003e`_ package for spherical signal processing with Python. \n\nContent\n=======\n\nThe package, named `pycsphere \u003chttps://pypi.org/project/pycsphere\u003e`_,  is organised as follows:\n\n1. The subpackage ``pycsphere.linop`` implements the following common spherical linear operators:\n  \n   * Convolution/pooling operators,\n   * Spherical transforms and their inverses,\n   * Finite-difference spherical differential operators.\n\n2. The subpackage ``pycsphere.mesh`` provides routines for generating spherical meshes. \n3. The subpackage ``pycsphere.green`` provides numerical routines for computing the Green  kernels of common spherical pseudo-differential operators.\n\nInstallation\n============\n\nPycsou-sphere requires Python 3.6 or greater. It is developed and tested on x86_64 systems running MacOS and Linux.\n\n\nDependencies\n------------\n\nBefore installing Pycsou-sphere, make sure that the base package `Pycsou \u003chttps://github.com/matthieumeo/pycsou\u003e`_ is correctly installed on your machine.\nInstallation instructions for Pycsou are available at `that link \u003chttps://matthieumeo.github.io/pycsou/html/general/install.html\u003e`_.\n\nThe package extra dependencies are listed in the files ``requirements.txt`` and ``requirements-conda.txt``.\nIt is recommended to install those extra dependencies using `Miniconda \u003chttps://conda.io/miniconda.html\u003e`_ or\n`Anaconda \u003chttps://www.anaconda.com/download/#linux\u003e`_. This\nis not just a pure stylistic choice but comes with some *hidden* advantages, such as the linking to\n``Intel MKL`` library (a highly optimized BLAS library created by Intel).\n\n.. code-block:: bash\n\n   \u003e\u003e conda install --channel=conda-forge --file=requirements-conda.txt\n\n\nQuick Install\n-------------\n\nPycsou-sphere is also available on `Pypi \u003chttps://pypi.org/project/pycsou-sphere/\u003e`_. You can hence install it very simply via the command:\n\n.. code-block:: bash\n\n   \u003e\u003e pip install pycsou-sphere\n\nIf you have previously activated your conda environment ``pip`` will install Pycsou in said environment.\nOtherwise it will install it in your ``base`` environment together with the various dependencies obtained from the file ``requirements.txt``.\n\n\nDeveloper Install\n------------------\n\nIt is also possible to install Pycsou-sphere from the source for developers:\n\n\n.. code-block:: bash\n\n   \u003e\u003e git clone https://github.com/matthieumeo/pycsou-sphere\n   \u003e\u003e cd \u003crepository_dir\u003e/\n   \u003e\u003e pip install -e .\n\nThe package documentation can be generated with:\n\n.. code-block:: bash\n\n   \u003e\u003e conda install sphinx=='2.1.*'            \\\n                    sphinx_rtd_theme=='0.4.*'\n   \u003e\u003e python3 setup.py build_sphinx\n\nYou can verify that the installation was successful by running the package doctests:\n\n.. code-block:: bash\n\n   \u003e\u003e python3 test.py\n\n\nCite\n====\n\nFor citing this package, please see: http://doi.org/10.5281/zenodo.4486431\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatthieumeo%2Fpycsou-sphere","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatthieumeo%2Fpycsou-sphere","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatthieumeo%2Fpycsou-sphere/lists"}