Releases: giotto-ai/pyflagser
pyflagser version 0.2.1
Major Features and Improvements
CMakeLists
updated to enable compile flags on MSVC. This improves performance on Windows systems.
Bug Fixes
Hotfix addressing multiples issues where forwarding arguments to C++ flagser
:
filtration
was not correctly forwarded and it always fallback to zero filtration.max-dim
andmin-dim
were always equal to 0.
CMakeLists
updated to disable AVX instructions. This addresses incompatibilities observed with specific hardware setups.
Backwards-Incompatible Changes
None.
Thanks to our Contributors
This release contains contributions from many people:
Julian Burella Pérez, Umberto Lupo, and Guillaume Tauzin.
We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.
pyflagser version 0.2.0
Release 0.2.0
Major Features and Improvements
The flagser
method now accepts filtration
as an argument. All filtrations available for the C++ flagser software can be used.
Bug Fixes
Fixed bug related to the generation of a file by C++ flagser. Whenever pyflagser's flagser
method was interrupted, it would not remove the generated file, which would prevent the flagser
method to be called again.
Backwards-Incompatible Changes
Thanks to our Contributors
This release contains contributions from many people:
Julian Burella Pérez, Umberto Lupo, and Guillaume Tauzin.
We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.
Initial release
Release 0.1.0
Initial release of pyflagser.
Major Features and Improvements
The following methods where added:
loadflag
enable the user to load a.flag
file into ascipy
ornumpy
matrix.saveflag
enables the user to save ascipy
ornumpy
matrix into a.flag
file.flagser
computes the persistent homology of directed/undirected flag complexes.
Bug Fixes
Backwards-Incompatible Changes
Thanks to our Contributors
This release contains contributions from many people:
Guillaume Tauzin, Julian Burella Pérez, and Umberto Lupo.
We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.