* Add @rth to code authors and list of contributors for v0.2.0

* Add twine check to azure-pipelines.yml

* Fix formatting and duplicate issues in README.rst

…erage (#384)

* Remove images subpackage from code omitted from coverage

* Add tests for Filtering class

* Add tests in diagrams subpackage, linting

- Rename test_features -> test_features_representations
- Create parametrized dummy tests for fit_transform_plot method of transformers in representations.py
- Improve structure and range of tests in test_preprocessing in a similar way
- Create dummy tests of shape for BettiCurve and PersistenceLandscape
- Linting and code style changes elsewhere

* Add fit_transform_plot test for GraphGeodesicDistance

* Add fit_transform_plot tests in gtda.homology

* Fix typo in voids_on_the_plane notebook

* Add fit_transform_plot tests for images subpackage

* Add fit_transform_plot tests for point_clouds subpackage

* Add test for SlidingWindow.plot

* Linting

* Exclude gtda.utils._doc and gtda.utils.intervals from coveragerc

* Implement @wreise's suggestions

- Rename some test functions
- Implement a solution to the automatic tab opening problem, based on setting the default value of plotly.io.renderers in test files

* Upload coverage report only from Azure macOS job

* Exclude test folders from coverage reports

* Update P landscapes

* Add distances, inner products and kernels glossary entry

Signed-off-by: ammedmar <anibal@medina-mardones.com>

* Update ccache

* Update variable used to indicate boost headers location

Official answer from boost devs: https://discourse.cmake.org/t/findboost-difference-between-boost-include-dir-and-boost-include-dirs/855

* Add install boost step in Azure CI, which downloads boost

Signed-off-by: julian <julian.burellaperez@heig-vd.ch>

…/refactor check_point_clouds and add tests (#386)

* Remove boolean mask on infinite values in VietorisRipsPersistence

* Refactoring of check_point_clouds

- Rename distance_matrix kwarg to distance_matrices
- Add checks for square input when distance_matrices is set to True
- More comprehensive/friendly error messages and warnings

* Increase generality of ripser function when metric == 'precomputed'

Sklearn's pairwise_distances is no longer called when metric='precomputed'.

This is because pairwise_distances checks for positivity and finite input in that case, but this is unnecessarily restrictive for ripser. 

pairwise_distances also checks for square input so this is no longer checked in the case metric='precomputed'.  But the ripser function is not meant for use in isolation. It is meant to be called by a VietorisRipsPersistence instance, and input validation can be offloaded to that class. In particular, 9bab872 introduces checks for square input.

* Add tests for check_point_clouds

* Refresh docstrings for VietorisRipsPersistence

- Mention "adjacency matrices of weighted undirected graphs" as well as distance matrices
- Mention compatibility with filtration in docstrings for fit and transform

* Add citation section in README

* Add citation info to FAQ page in docs

Signed-off-by: Guillaume Tauzin <guillaumetauzin.ut@gmail.com>

Co-authored-by: Umberto Lupo <46537483+ulupo@users.noreply.github.com>

* Fix citing giotto-tda section
* Fix Important link section