Turbustat

What's Changed
* Fix for Tsallis chi squared values with scipy 1.7 by e-koch in https://github.com/Astroua/TurbuStat/pull/236
* Fix Delta Variance fill value by e-koch in https://github.com/Astroua/TurbuStat/pull/235
* Bug fixes from distance metric classes by e-koch in https://github.com/Astroua/TurbuStat/pull/237
* Update testing to drop 3.6 and add 3.9, 3.10 by e-koch in https://github.com/Astroua/TurbuStat/pull/239
* BUG FIX: Fixed name of smoothed image list by gabrielb09 in https://github.com/Astroua/TurbuStat/pull/240
* Updates and fixes to Genus + numpy slice fixes by e-koch in https://github.com/Astroua/TurbuStat/pull/241
* Add unbinned power spectrum fitting by e-koch in https://github.com/Astroua/TurbuStat/pull/248
* Fix check for dendrogram deltas when given as a string by e-koch in https://github.com/Astroua/TurbuStat/pull/249

New Contributors
* gabrielb09 made their first contribution in https://github.com/Astroua/TurbuStat/pull/240

**Full Changelog**: https://github.com/Astroua/TurbuStat/compare/v1.2.1...v1.3

As of scipy 1.14, non-finite values are not ignored by default which causes issues for the azimuthal averaging used for several of the statistics. See 227 for further information.

This release also has large differences in the package infrastructure and a switch from travis to github actions for CI.

The cython code for `turbustat.simulator.spectrum` was not compiling in the v1.0 release on pypi. This new release fixes that.

TurbuStat's first major release, with stable implementations and API. This version is described in the accompanying paper to be published in the near future.

The version used for the results in Koch et al. (2017). The functionality for the methods is tested and ready for use, but the documentation is incomplete.

First release of the Turbustat package: A python package developed to provide an accessible set of statistical measures for comparing observations and simulations of molecular clouds. Also provided are examples of R code used for fitting the models and wrapper scripts for running large sets of data.

Portions of this package are still under current development, but the statistics and distance metrics are in a stable form that is unlikely to have major changes.

This release indicates the version for our submitted paper.