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Allard Hendriksen committed Apr 30, 2019
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15 changes: 15 additions & 0 deletions .github/ISSUE_TEMPLATE.md
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* On the fly machine learning for improving image resolution in tomography version:
* Python version:
* Operating System:

### Description

Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.

### What I Did

```
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
```
108 changes: 108 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

# dotenv
.env

# virtualenv
.venv
venv/
ENV/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/

# Emacs:
*~

# VIM:
.*.sw[op]
17 changes: 17 additions & 0 deletions CHANGELOG.md
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# Changelog
All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]
### Added
- <insert-features-not-in-a-release-yet>
### Fixed
- <insert-bugs-fixed-not-in-a-release-yet>

## 0.1.0 - YYYY-MM-DD
### Added
- Initial release.

[Unreleased]: https://www.github.com/ahendriksen/on_the_fly/compare/v0.1.0...develop
128 changes: 128 additions & 0 deletions CONTRIBUTING.rst
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.. highlight:: shell

============
Contributing
============

Contributions are welcome, and they are greatly appreciated! Every little bit
helps, and credit will always be given.

You can contribute in many ways:

Types of Contributions
----------------------

Report Bugs
~~~~~~~~~~~

Report bugs at https://github.com/ahendriksen/on_the_fly/issues.

If you are reporting a bug, please include:

* Your operating system name and version.
* Any details about your local setup that might be helpful in troubleshooting.
* Detailed steps to reproduce the bug.

Fix Bugs
~~~~~~~~

Look through the GitHub issues for bugs. Anything tagged with "bug" and "help
wanted" is open to whoever wants to implement it.

Implement Features
~~~~~~~~~~~~~~~~~~

Look through the GitHub issues for features. Anything tagged with "enhancement"
and "help wanted" is open to whoever wants to implement it.

Write Documentation
~~~~~~~~~~~~~~~~~~~

On the fly machine learning for improving image resolution in tomography could always use more documentation, whether as part of the
official On the fly machine learning for improving image resolution in tomography docs, in docstrings, or even on the web in blog posts,
articles, and such.

Submit Feedback
~~~~~~~~~~~~~~~

The best way to send feedback is to file an issue at https://github.com/ahendriksen/on_the_fly/issues.

If you are proposing a feature:

* Explain in detail how it would work.
* Keep the scope as narrow as possible, to make it easier to implement.
* Remember that this is a volunteer-driven project, and that contributions
are welcome :)

Get Started!
------------

Ready to contribute? Here's how to set up `on_the_fly` for local development.

1. Fork the `on_the_fly` repo on GitHub.
2. Clone your fork locally::

$ git clone [email protected]:your_name_here/on_the_fly.git

3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::

$ mkvirtualenv on_the_fly
$ cd on_the_fly/
$ python setup.py develop

4. Create a branch for local development::

$ git checkout -b name-of-your-bugfix-or-feature

Now you can make your changes locally.

5. When you're done making changes, check that your changes pass flake8 and the
tests, including testing other Python versions with tox::

$ flake8 on_the_fly tests
$ python setup.py test or py.test
$ tox

To get flake8 and tox, just pip install them into your virtualenv.

6. Commit your changes and push your branch to GitHub::

$ git add .
$ git commit -m "Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature

7. Submit a pull request through the GitHub website.

Pull Request Guidelines
-----------------------

Before you submit a pull request, check that it meets these guidelines:

1. The pull request should include tests.
2. If the pull request adds functionality, the docs should be updated. Put
your new functionality into a function with a docstring, and add the
feature to the list in README.rst.
3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check
https://travis-ci.org/ahendriksen/on_the_fly/pull_requests
and make sure that the tests pass for all supported Python versions.

Tips
----

To run a subset of tests::


$ python -m unittest tests.test_on_the_fly

Deploying
---------

A reminder for the maintainers on how to deploy.
Make sure all your changes are committed (including an entry in HISTORY.rst).
Then run::

$ bumpversion patch # possible: major / minor / patch
$ git push
$ git push --tags

Travis will then deploy to PyPI if tests pass.
33 changes: 33 additions & 0 deletions LICENSE.md
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GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007

On the fly machine learning for improving image resolution in tomography
Copyright (C) 2019 Allard Hendriksen

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.

Also add information on how to contact you by electronic and paper mail.

You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.

The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.

1 change: 1 addition & 0 deletions MANIFEST.in
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include on_the_fly/VERSION
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