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Preparation for next release #226

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Feb 15, 2022
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2 changes: 1 addition & 1 deletion .github/workflows/pytest_latest.yml
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@@ -1,6 +1,6 @@
# Install scico requirements and run pytest with latest jax version

name: unit tests: latest jax
name: unit tests -- latest jax

# Controls when the workflow will run
on:
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6 changes: 6 additions & 0 deletions CHANGES.rst
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Expand Up @@ -3,6 +3,12 @@ SCICO Release Notes
===================


Version 0.0.3 (unreleased)
----------------------------

• No changes yet


Version 0.0.2 (2022-02-14)
----------------------------

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13 changes: 11 additions & 2 deletions README.rst
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Expand Up @@ -34,13 +34,22 @@
:target: https://badge.fury.io/py/scico
:alt: Current PyPI package version

.. image:: https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg
:target: https://nbviewer.jupyter.org/github/lanl/scico-data/tree/main/notebooks/index.ipynb
:alt: View notebooks at nbviewer

.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/lanl/scico-data/binder?labpath=notebooks%2Findex.ipynb
:alt: Run notebooks on binder



Scientific Computational Imaging COde (SCICO)
=============================================

SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications. Its primary focus is providing methods for solving ill-posed inverse problems by using an appropriate prior model of the reconstruction space. SCICO includes a growing suite of operators, cost functionals, regularizers, and optimization routines that may be combined to solve a wide range of problems, and is designed so that it is easy to add new building blocks. SCICO is built on top of `JAX <https://github.com/google/jax>`_, which provides features such as automatic gradient calculation and GPU acceleration.

`Documentation is available online <https://scico.rtfd.io/>`_. If you use this software for published work, please cite bibtex entry ``pfister-2021-scico`` in ``docs/source/references.bib``.
`Documentation <https://scico.rtfd.io/>`_ is available online. If you use this software for published work, please cite bibtex entry ``pfister-2021-scico`` in ``docs/source/references.bib``.


Installation
Expand All @@ -52,7 +61,7 @@ See the `online documentation <https://scico.rtfd.io/en/latest/install.html>`_ f
Usage Examples
==============

Usage examples are available as Python scripts and Jupyter Notebooks. Example scripts are located in ``examples/scripts``. The corresponding Jupyter Notebooks are provided in the `scico-data <https://github.com/lanl/scico-data>`_ submodule and symlinked to ``examples/notebooks``. They are also viewable on `GitHub <https://github.com/lanl/scico-data/tree/main/notebooks>`_ or `nbviewer <https://nbviewer.jupyter.org/github/lanl/scico-data/tree/main/notebooks/index.ipynb>`_.
Usage examples are available as Python scripts and Jupyter Notebooks. Example scripts are located in ``examples/scripts``. The corresponding Jupyter Notebooks are provided in the `scico-data <https://github.com/lanl/scico-data>`_ submodule and symlinked to ``examples/notebooks``. They are also viewable on `GitHub <https://github.com/lanl/scico-data/tree/main/notebooks>`_ or `nbviewer <https://nbviewer.jupyter.org/github/lanl/scico-data/tree/main/notebooks/index.ipynb>`_, or can be run online by `binder <https://mybinder.org/v2/gh/lanl/scico-data/binder?labpath=notebooks%2Findex.ipynb>`_.
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cool



License
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2 changes: 1 addition & 1 deletion scico/__init__.py
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solving the inverse problems that arise in scientific imaging applications.
"""

__version__ = "0.0.2"
__version__ = "0.0.3a1"

import sys

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