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fix #19 gemfury pypi server added, downgrade to py3.5
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CHANGES.md

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# 0.1.1 / 2020-02-17
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* prepared for GemFury pypi server
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* downgrade to py3.5 from py3.6
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# 0.1.0 / 2019-11-02
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README.md

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# fracdiff
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Fractional Difference for Time Series
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## Table of Contents
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* [Installation](#installation)
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* [Usage](#usage)
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* [Commands](#commands)
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* [Support](#support)
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* [Contributing](#contributing)
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## Installation
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The `fracdiff` [git repo](http://github.com/ulf1/fracdiff) is a private package that needs to be installed from github
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```
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pip install git+ssh://[email protected]/ulf1/fracdiff.git
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```
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with GemFury
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```
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FURY_AUTH="<deploy token>"
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pip install fracdiff --extra-index-url https://${FURY_AUTH}:@pypi.fury.io/kmedian/
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```
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## Install via requirements.txt
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when using `fracdiff==0.1.1` in `requirements.txt`,
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add on top of `requirements.txt`:
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```
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# Access private packages on gemfury
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--index-url https://${FURY_AUTH}:@pypi.fury.io/kmedian/
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...
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```
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Set `FURY_AUTH` with the deploy token before pip commands:
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```
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FURY_AUTH="<deploy token>"
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pip install -r requirements.txt
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```
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## Install a virtual env
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```
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* Run Unit Tests: `python -W ignore -m unittest discover`
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* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
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* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
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## Debugging
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* Notebooks to profile python code are in the [profile](http://github.com/ulf1/fracdiff/profile) folder
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## Support
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Please [open an issue](https://github.com/ulf1/fracdiff/issues/new) for support.
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## Contributing
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Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/ulf1/fracdiff/compare/).
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* Publish on GemFury pypi server: `python setup.py sdist && twine upload -r fury dist/*`

setup.py

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setup(name='fracdiff',
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version='0.1.0',
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version='0.1.1',
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description='Fractional Difference for Time Series',
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long_description=read('README.md'),
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long_description_content_type='text/markdown',
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'nose>=1.3.7',
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'numpy>=1.17.1',
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'scikit-learn>=0.21.3'],
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python_requires='>=3.6',
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python_requires='>=3.5',
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zip_safe=False)

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