sparse-ir v2.0.0

We are releasing sparse-ir v2.0.0. This release includes a major change: switching the core algorithms to the Rust crate sparse-ir-rs. However, Python users can continue to use the package in the same way as before.

What's Changed

• 35 version 2xx by @shinaoka in #36
• Fix overlap by @shinaoka in #37
• Add conda by @shinaoka in #38
• Add conda-related CI files by @shinaoka in #39
• Fix wheel upload by @shinaoka in #40
• Fix liscense statement by @shinaoka in #43
• 41 fix overlap & sampling by @shinaoka in #44
• Bump to v2.0.0a3 by @shinaoka in #46
• Enable conda by @shinaoka in #48
• Add workflow_dispatch to wheel.yml by @shinaoka in #52
• 49 support libsparseir 05x by @shinaoka in #50
• Bump to v2.0.0a5 by @shinaoka in #56
• Defaults to use_positive_taus=True by @shinaoka in #58
• Bump to v2.0.0a6 by @shinaoka in #60
• Add default overlap range functionality to PiecewiseLegendrePoly classes by @shinaoka in #62
• Use pylibsparseir 0.7 and drop support for 0.6 by @terasakisatoshi in #63
• Bump to 2.0.0a8 by @terasakisatoshi in #64
• Do not skip FTVector slicing test by @terasakisatoshi in #65
• feat: add use_positive_taus parameter and statistics-dependent periodicity by @shinaoka in #66
• Bump to v2.0.0a10 by @shinaoka in #67
• Bump version to v2.0.0 (not alpha!!!) by @terasakisatoshi in #68

New Contributors

• @terasakisatoshi made their first contribution in #63

Full Changelog: v1.1.7...v2.0.0