semvec/pypi-packages huggingface dataset:
aws-status 0.0.19
Wraps AWS status informations obtained via the status page.
License: MIT

aws-status
==========

[![Build Status](https://travis-ci.org/jbbarth/aws-status.svg?branch=master)](https://travis-ci.org/jbbarth/aws-status)

Helps you check AWS status as seen from the official status page http://status.aws.amazon.com/

Installation
------------

It is recommended to install the package through pip:
```
pip install aws-status
```

Usage
-----

The package provides 2 scripts, one for listing AWS available feeds (or regions or services):
```
#list feeds
aws-status-list

#list regions
aws-status-list --regions

#list services
aws-status-list --services

#get some help
aws-status-list --help
```

And an other one to check the status of a specific feed:
```
#check EC2 in us-east-1
aws-status-check http://status.aws.amazon.com/rss/ec2-us-east-2.rss
```

Thanks
------

- a great article about packaging python apps: https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
- one example of parsing AWS status feeds (in Python): https://github.com/rhartkopf/check_aws_status_feed/blob/master/check_aws_status_feed.py
- an other example (in Ruby): https://gist.github.com/ktheory/1604786
pandoc-img-glob 0.1.3
A pandoc filter for globbing image paths in multi file projects.
License: MIT
Keywords: pandoc,image,multifile,filter

pandoc-img-glob
===============

``pandoc-img-glob`` is a `panflute`_ `pandoc`_ `filter`_.

In multi file and GitHub stored markdown projects, many images are
specified relative to their documents. For example consider the
following `document tree <example>`__:

::

    example
    |-- section1
    |   |-- image1.png
    |   `-- section1.md
    |-- section2
    |   |-- images
    |   |   |-- image3.png
    |   |   `-- image2.png
    |   `-- section2.md
    `-- Makefile

Assuming the ``Makefile`` would compile my full book, it might look like
this:

.. code-block:: Makefile

    book:
    	pandoc -o book.pdf section*/*.md

And in ``section1.md`` there would be a line referencing ``image1.png``,
etc. This is often used because then the GitHub preview looks awesome!
However, pandoc has no way of telling where files came from, so it loses
track of image references, resulting in errors like this:

::

    [pandoc warning] Could not find image `image1.png', skipping...
    [pandoc warning] Could not find image `images/image2.png', skipping...
    [pandoc warning] Could not find image `images/image3.png', skipping...

``pandoc-img-glob`` solves this problem by just searching recursivly
through the path find images matching the given filenames and providing
pandoc (and pandoc only) with the absolute paths. This allows for both:
Beautiful pdfs and GitHub previews using the updated Makefile.

.. code-block:: Makefile

    fixedbook:
    	pandoc --filter pandoc-img-glob -o book.pdf section*/*.md

However, this filter becomes slow if you have very deep and complex
file trees, and if you have multiple images with the same name, it
will just silently use the first it finds.

Installation
------------

Just use pip to install it from `pypi`_

.. code-block:: shell

    pip install pandoc-img-glob


.. _`filter`: https://pandoc.org/scripting.html
.. _`pandoc`: https://pandoc.org/index.html
.. _`panflute`: http://scorreia.com/software/panflute/index.html
.. _`pypi`: https://pypi.python.org/pypi/pandoc-img-glob
bayonetpython 0.0.0
Bayonet python client library
License: MIT

####  Bayonet for Python
***

A Python SDK for integrating with the Bayonet API v1. Compatible with Python 2.7.

#### Installation
___
Install via `pip`:

````
pip install bayonet
````

After installation, to get started, open a Python console:

````
from bayonet import BayonetClient
client = BayonetClient()
client.set_api_key([uuid-key])
````

#### Obtaining an access token
___
All requests need to be made with an APIKEY. This key will be provided by Bayonet's team.


#### Example
___


#### Test
___
rcgrep 0.1.0rc1
Search text files for DNA sequences and their reverse complements
License: MIT

[![rcgrep build status](https://img.shields.io/travis/dib-lab/rcgrep.svg)](https://travis-ci.org/dib-lab/rcgrep)
[![Test coverage](https://img.shields.io/codecov/c/github/dib-lab/rcgrep.svg)](https://codecov.io/github/dib-lab/rcgrep)

# rcgrep

**rcgrep**: search text files for DNA sequences and their reverse complements

> **ME**: *I just need to search for a sequence in this file real quick. I'll use `grep`.*
>
> **ALSO ME**: *Oh, the file is bzip2-compressed. Use `bzgrep`.*
>
> **ME AGAIN**: *Oops, I forgot to search for the sequence's reverse complement as well. Try again.*
>
> **ME, 5 MINUTES LATER**: *This time I want to search the file for 3 sequences and their reverse complements. Invoke `bzgrep` with multiple `-e` flags.*
>
> **ME, HEAD ON DESK**: *Uggghh, `bzgrep` on Linux doesn't support multiple `-e` flags. Pipe output of `bzcat` to `grep`.*

Like many problems in computational biology, searching for DNA sequences in text files is a very simple task that is unnecessarily complicated by a variety of technical details.
**rcgrep** is a lightweight wrapper for the `grep` command intended to make these irrelevant details disappear as much as possible.

- **rcgrep** searches not only for the supplied sequence(s) but also for the corresponding reverse complement(s).
- **rcgrep** supports searching for multiple query sequences simultaneously.
- **rcgrep** detects and handles .gz and .bz2 files automatically.
- **rcgrep** is implemented in pure Python (no compilation required), has no non-standard dependencies, supports Python versions 2 and 3, and can be easily installed via a package manager.


## Quick install

The `rcgrep` command is easily installed from PyPI.

```
pip install rcgrep
```

Recommended: to make sure `rcgrep` is installed correctly, run the tests like so.

```
pip install pytest
pytest --pyargs rcgrep.tests
```


## Contact

This project was originally written by Daniel Standage in the [Lab for Data Intensive Biology](http://ivory.idyll.org/lab/) at UC Davis.
If you have any questions, feedback, or suggestions, feel free to contact us via the [issue tracker](https://github.com/dib-lab/rcgrep/issues).
Or even better, send us a pull request!
Contributions from the wider community are welcomed!


## License

**rcgrep** is Copyright Regents of the University of California, 2017.
All the code is freely available for use and re-use under the MIT License.
Distribution, modification and redistribution, incorporation into other software, and pretty much everything else is allowed.