Merge pull request #21 from astro-informatics/housekeeping/pypistats_…

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README.md

@@ -1,8 +1,8 @@
 [![image](https://github.com/astro-informatics/s2scat/actions/workflows/tests.yml/badge.svg?branch=main)](https://github.com/astro-informatics/s2scat/actions/workflows/tests.yml)
 [![codecov](https://codecov.io/gh/astro-informatics/s2scat/graph/badge.svg?token=LTSRXQVHIA)](https://codecov.io/gh/astro-informatics/s2scat)
 [![image](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![image](https://badge.fury.io/py/s2scat.svg)](https://badge.fury.io/py/s2scat)
-[![image](http://img.shields.io/badge/arXiv-xxxx.xxxxx-orange.svg?style=flat)](https://arxiv.org/abs/xxxx.xxxxx)
+[![PyPi version](https://badgen.net/pypi/v/s2scat/)](https://pypi.org/project/s2scat)
+[![PyPI download month](https://img.shields.io/pypi/dm/s2scat.svg)](https://pypi.python.org/pypi/s2scat/)
 [![All Contributors](https://img.shields.io/github/all-contributors/astro-informatics/s2scat?color=ee8449&style=flat-square)](#contributors)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/astro-informatics/s2scat/blob/main/notebooks/auto_generation.ipynb)
 
@@ -31,9 +31,7 @@ Note that these times are not batched, so in practice may be substantially faste
   <img width="300" height="300" src="./docs/assets/synthesis.gif">
 </p>
 
-We introduce scattering covariances on the sphere in [Mousset et al. (2024)](https://arxiv.org/abs/xxxx.xxxxx), which extend to spherical settings similar scattering transforms introduced for 1D signals by [Morel et al. (2023)](https://arxiv.org/abs/2204.10177) and for planar 2D signals by [Cheng et al. (2023)](https://arxiv.org/abs/2306.17210). 
-
-Scattering covariances $S$ are computed by
+We introduce scattering covariances on the sphere in [Mousset et al. (2024)](https://arxiv.org/abs/xxxx.xxxxx), which extend to spherical settings similar scattering transforms introduced for 1D signals by [Morel et al. (2023)](https://arxiv.org/abs/2204.10177) and for planar 2D signals by [Cheng et al. (2023)](https://arxiv.org/abs/2306.17210). Scattering covariances $S$ are computed by
 
 $$S_1^{\lambda_1} = \langle |W^{\lambda_1} I| \rangle,$$
 

requirements/requirements-core.txt

@@ -1,9 +1,11 @@
 # Packages required for core functionality 
-numpy ==  1.26.4 # numpy 2.0.0 breaks pyssht in s2fft.
+numpy ==  1.26.4  # numpy 2.0.0 breaks pyssht in s2fft.
+matplotlib==3.8.4 # for notebooks.
 
 # JAX optimisation routines
 optax
 
 # Sister packages
+healpy == 1.16.6
 s2wav >= 1.0.4
-s2fft >= 1.1.1
+s2fft >= 1.1.1

setup.py

@@ -21,7 +21,7 @@
         "Intended Audience :: Science/Research",
     ],
     name="s2scat",
-    version="0.0.1",
+    version="0.0.3",
     url="https://github.com/astro-informatics/s2scat",
     author="Matthew A. Price, Louise Mousset, Erwan Allys, Jason D. McEwen",
     license="MIT",