semvec/pypi-packages huggingface dataset:
sg-testing 0.0.30
This is the SG_TESTING Project

# playgound
My Playgound

# SG_Testing

This is the SG_TESTING Project
@Swissglider

## Howto upload to pypi

Source:

- [python doc](https://packaging.python.org/tutorials/packaging-projects/)
- [twine doc](https://twine.readthedocs.io/en/latest/)

### To install

```sh
pip install --user --upgrade setuptools wheel
pip install --user --upgrade twine
```

### Run the creation and upload to test.pypi

```sh
rm -rf dist
python setup.py sdist bdist_wheel
# from test.pypi.org
# /root/.local/bin/twine upload --repository-url https://test.pypi.org/legacy/ dist/* -u <user_name> -p <password>
python -m twine upload --repository-url https://test.pypi.org/legacy/ dist/* -u <user_name> -p <password>
# from pypy.org
python -m twine upload dist/* -u <user_name> -p <password>
```

### Install to test package from test.pypi

```sh
# from test.pypi.org
pip install --index-url https://test.pypi.org/simple/ sg_testing
# from pypy.org
pip install sg_testing
```

### Run the creation and upload to pypi

```sh
rm -rf dist
python setup.py sdist bdist_wheel
/root/.local/bin/twine upload dist/*
```

## With setup.py (markdown is not really working well)

```sh
python setup.py sdist upload -r pypitest
```
zendesk_django_auth 0.1.1
Use your django app as an auth platform for Zendesk.

Zendesk Django Auth
===================
.. image:: https://travis-ci.org/madisona/zendesk_django_auth.svg?branch=master
:target: https://travis-ci.org/madisona/zendesk_django_auth

Allows your Django App to be used as an authentication platform for your Zendesk Account

Zendesk API Documentation
-------------------------
see `http://www.zendesk.com/support/api/remote-authentication` for ZenDesk Documentation.

This module is specifically for Zendesk API v1

Installation
------------
zendesk_auth version 0.0.3+ works with django 1.5 and above

    `pip install zendesk_django_auth`


Usage
-----
Using Zendesk SSO in your app is extremely simple...

in your settings.py, add 'zendesk_auth' to your `INSTALLED_APPS`

Then add the following two settings
    `ZENDESK_URL=https://your_domain.zendesk.com`
    `ZENDESK_TOKEN=you_zendesk_token`

Next, add this (or equivalent) to your urls.py:

    `url(r'', include('zendesk_auth.urls')),`

You'll need to setup your zendesk remote authentication settings to allow/use your zendesk_authorize view.

You're done! Now watch it work.
sorting-hat 0.0.5
Sorts indels into mutational classes
Requires Python: >=3

===========
Sorting Hat
===========

Sorts indels into classes defined as follows:
  - **homopolymer run (HR):** mutation is in a region where there are 6 or more
    copies of the nucleotide being inserted or deleted
  - **change in copy count (CCC):** the allele being inserted or deleted has 1 or
    more repeats in the mutation region
  - **no change in copy count (non-CCC):** the allele being inserted or deleted is
    not repeated in the mutation region

In order to use sorting_hat, you must ensure the following are installed:
  - `Python >=3.5.0`_
  - `bedtools >=2.27.0`_


To install, use *pip*:

.. code-block::

    pip install sorting_hat


Example run

.. code-block:: bash

    sorting_hat --bed test.bed \
                --fasta test.fasta \
                --repeat repeat_masker.txt

Usage

.. code-block::

    sorting_hat [-h] -b BED -f FASTA -r REPEAT [-o OUTPUT]

Sorts indels into mutational classes

  -b BED, --bed BED     Location of BED file with all variants. Must be
                        formatted as Chrom/Start/End/Ref/Alt/PatientID.
  -f FASTA, --fasta FASTA
                        Location of reference fasta file.
  -r REPEAT, --repeat REPEAT
                        Location of RepeatMasker file downloaded from UCSC
                        Genome Browser. Refer to docs to see how to download
                        RepeatMasker.
  -o OUTPUT, --output OUTPUT
                        Name of output file, if not chosen then will print to
                        stdout.

To download RepeatMasker from UCSC Genome Browser, see photos in 'data'
folder on github: https://github.com/allisonseiden/sorting_hat

Allison Seiden <ahseiden@gmail.com>


.. _Python >=3.5.0: https://www.python.org/downloads/release/python-350/
.. _bedtools >=2.27.0: http://bedtools.readthedocs.io/en/latest/
gitlab-attendant 0.0.1
A GitLab bot that tidies and attends to repositories
Keywords: gitlab bot python

# GitLab Attendant

[![Build Status](https://travis-ci.org/stuartmccoll/gitlab-attendant.svg?branch=master)](https://travis-ci.org/stuartmccoll/gitlab-attendant) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Description

The GitLab Attendant is a bot that will tidy and attend to repositories on a specified GitLab installation at a scheduled basis. Currently the bot is capable of removing merged branches, assigning project members to open issues, assigning project members to open merge requests, notifying issue assignees of due or overdue issues, and notifying assignees of stale merge requests.

In order to use the GitLab Attendant fully, you should create a new account within the specified GitLab installation with privileges that will allow the bot to read and write any changes necessary to branches, merge requests, issues, etc. The personal access token for this account should then be entered in the `token` paramter when calling the bot from the command line.

**Python 3.6** or **Python 3.7** are required to run this utility.

## Installation

This utility can be installed through [pip](https://pypi.org/project/pip/) by running the following command:

```shell
pip install gitlab-attendant
```

## Usage

```shell
gitlab-attendant --ip localhost --interval 7 --token TOKEN

Options:
  --ip          The IP address of the GitLab installation.
  --interval    task scheduler interval in hours (ex. 1, 10) [default: 24]
  --token       GitLab personal access token.
```

This will run the GitLab Attendant process, which will begin attending to the specified GitLab installation at the first interval specified.

## Tests

Tests for this project utilise the [Pytest](https://pypi.org/project/pytest/) framework. To run the existing suite of unit tests run the following command within the root directory:

```shell
pytest
```

## Notes

All Python code has been formatted by [Black](https://github.com/ambv/black), 'the uncompromising Python code formatter'.

Type checking has been provided by [Pyre](https://pyre-check.org/).

Continuous integration is handled by [Travis CI](https://travis-ci.org/).

## License

See [LICENSE.md](LICENSE.md).