semvec/pypi-packages huggingface dataset:
ec2-ssh-yplan 1.5.3
SSH into EC2 instances via tag name
License: MIT
Keywords: amazon

=======
ec2-ssh
=======

Moved back to just `ec2-ssh <https://pypi.python.org/pypi/ec2-ssh>`_.




History
=======

Pending
-------

* Next version release notes here

1.5.2 (2016-08-17)
------------------

* Fix Python 3 bug with subprocess output type

1.5.1 (2016-01-21)
------------------

* Pip failed to receive wheel in version 1.5.0, re-uploading

1.5.0 (2016-01-21)
------------------

* Now using ``boto3``

1.4.0 (2016-01-07)
------------------

* ``ec2-ssh`` rewritten in Python. As part of this, the automatic 'pretty
  prompt' has been removed.

1.3.0 (2016-01-06)
------------------

* Forked by YPlan
* Output from ec2-host is now in random order, allowing ec2-ssh to spread
  logins between similar instances
* Python 3 compatibility

1.2.1 (2011-11-27)
------------------
* Fix issue when ec2-host finds one offline instance with same name as an online instance

1.2 (2011-11-27)
----------------

* Merged pull requests to add region and tag support

1.1.1 (2011-11-17)
------------------

* Add line echoing host before establishing SSH connection

1.1 (2011-11-15)
----------------

* override prompt (PS1) to show tag name

1.0 (2011-09-05)
----------------

* initial release
typtop 0.2.11
Adaptive typo-tolerant password checking for Debian logins
License: MIT
Keywords: Password,typo-tolerance,login-with-errors,Login

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          /  \__$$ |$$ |                          $$ |
          $$    $$/ $$ |                          $$ |
           $$$$$$/  $$/                           $$/
Hello!

Thanks for installing TypToP (version: 0.2.11).  This software
attaches a new pluggable authentication module (PAM) to some of your
common authentication processes, such as su, login, screensaver etc.,
and observes for password typing mistakes. It records your frequent
typing mistakes, and enable logging in with slight vairations of your
actual login password that are frequent and safe to do so.

This is a research prototype, and we are collecting some anonymous
non-sensitive data about your password typing patterns to verify our
design. The details of what we collect, how we collect and store, and
the security blueprint of this software can be found in the GitHub
page: https://github.com/rchatterjee/pam-typopw.  The participation in the study is completely voluntary,
and you can opt out at any time while still keep using the software.

Checkout other options (such as opting out of the study) of the
utility script typtop by running:

$ typtops.py --help

Note, You have to initiate this for each user who intend to use the
benefit of adaptive typo-tolerant password login.
peachproxy 0.0.1
Peach Web Proxy API module
License: MIT
Keywords: peach fuzzing security test rest

peachproxy
============

The peach proxy module provides a wrapper around the 
`Peach API Security <http://peachfuzzer.com>`_ API.  
This module is used for by CI integrations,
test runner plugins and custom traffic generators.

Requirements
------------

You will need the following prerequisites in order to use:

 * Peach API Security
 * Python 2 or 3

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

To install:

$ pip install peachproxy

**From Source**

$ python setup.py install

Usage
-----

See the Peach API Security User Guide for more information.
scatnetgpu 1.1
Scattering Network for Python and CUDA
License: MIT

Description
===========

``scatnetgpu`` is a module to compute the Scattering Network
representation [1] of an image using the power of a CUDA capable GPU.

The output of the computation is compatible with the software
`scatnet <https://github.com/scatnet/scatnet>`__.

Requirements
============

-  Python 2.7 (not tested yet with Python 3.x)
-  A CUDA capable GPU with `CUDA
   toolkit <https://developer.nvidia.com/cuda-toolkit>`__ correctly
   installed

Installation
============

Just run:

.. code:: bash

    $ pip install scatnetgpu

Alternatively, clone the repository and run:

.. code:: bash

    $ pip install .

Quickstart
==========

Load or create an image as a Numpy's ndarray. Here we load an image with
OpenCV:

.. code:: python

    import cv2
    img = cv2.imread('image.png')

Create the ScatNet object:

.. code:: python

    from scatnetgpu import ScatNet
    sn = ScatNet(M=2, J=4, L=6)

Perform the actual transformation

.. code:: python

    out = sn.transform(img)

Now ``out`` contains the features of the Scattering Network
representation of ``img``.

References
==========

[1] Bruna, Joan, and Stéphane Mallat. "Invariant scattering convolution
networks." IEEE transactions on pattern analysis and machine
intelligence 35.8 (2013): 1872-1886.
clack-cli 2.0.0b9
Clack is a Command Line API Calling Kit based on Click.
License: MIT
Keywords: development command line tool api interface jwplayer

Clack CLI
=========

Clack is a Command Line API Calling Kit based on
`Click <https://packaging.python.org>`_.

Please refer to `the readme on Github <https://github.com/rmnl/clack>`_ for
more information and help.