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Commit c7156e7e authored by hhakim's avatar hhakim
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Ignore skipped status for pipeline badge and remove badges in anaconda pkg desc.

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![FAµST Logo](./gen_doc/images/logo.png)
[![pipeline status](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/pipeline.svg)](https://gitlab.inria.fr/faustgrp/faust/commits/hakim_branch)
[![pipeline status](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/pipeline.svg?ignore_skipped=true)](https://gitlab.inria.fr/faustgrp/faust/commits/hakim_branch)
![pyfaust test coverage](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/coverage.svg?job=pyfaust_test_code_coverage&key_text=pyfaustcov)
![matfaust test coverage](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/coverage.svg?job=matfaust_test_code_coverage&key_text=matfaustcov)
......
......@@ -30,14 +30,14 @@ about:
license_file: @LICENSE_FILEPATH@
summary: 'FAµST python toolbox'
description: |
.. image:: https://faust.inria.fr/files/2016/11/cropped-FAUST.jpeg
.. image:: https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/pipeline.svg
.. image:: https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/coverage.svg?job=pyfaust_test_code_coverage&key_text=coverage
The FAµST toolbox provides algorithms and data structures to decompose a given dense matrix into a product of sparse matrices in order to reduce its computational complexity (both for storage and manipulation).
FaµST can be used to:
FaµST can be used to: |
- speedup / reduce the memory footprint of iterative algorithms commonly used for solving high dimensional linear inverse problems,
- learn dictionaries with an intrinsically efficient implementation,
- compute (approximate) fast Fourier transforms on graphs.
......@@ -72,7 +72,7 @@ setup(
author_email = 'remi.gribonval@inria.fr',
description = 'FAµST python toolbox',
long_description = """![FAµST logo](https://faust.inria.fr/files/2016/11/cropped-FAUST.jpeg)
![pipeline status](https://gitlab.inria.fr/faustgrp/faust/badges/main/pipeline.svg)
![pipeline status](https://gitlab.inria.fr/faustgrp/faust/badges/main/pipeline.svg?ignore_skipped=true)
![coverage](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/coverage.svg?job=pyfaust_test_code_coverage&key_text=coverage)
The FAµST toolbox provides algorithms and data structures to decompose a given dense matrix into a product of sparse matrices in order to reduce its computational complexity (both for storage and manipulation). FaµST can be used to:
......
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