semvec/pypi-packages huggingface dataset:
stac 1.1.0
Smarter Travel Artifactory Client
License: MIT

Stac - Smarter Travel Artifactory Client
========================================

.. image:: https://travis-ci.org/smarter-travel-media/stac.svg?branch=master
    :target: https://travis-ci.org/smarter-travel-media/stac

.. image:: https://img.shields.io/pypi/v/stac.svg
    :target: https://pypi.python.org/pypi/stac

Stac is a tiny Artifactory client designed for getting the most recent version (or versions)
of a project from an Artifactory server. The target use case is downloading project artifacts
as part of a deploy process.

Given a few pieces of information, it can generate URLs to the most recent version of an
artifact to be downloaded as part of your deploy process. Currently, only Maven repository
layouts (in Artifactory parlance) are supported.

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

To install Stac, simply run:

.. code-block:: bash

    $ pip install stac


Dependencies
------------
* `requests <https://github.com/kennethreitz/requests>`_  by Kenneth Reitz

Usage
-----

Using Stac is easy!

.. code-block:: python

    >>> from stac.api import new_maven_client
    >>> client = new_maven_client('https://www.example.com/artifactory', 'libs-release')
    >>> version = client.get_latest_version('com.example.services.authentication')
    >>> version
    '1.2.3'
    >>> url = client.get_version_url('com.example.services.authentication', 'jar', version)
    >>> url
    'https://www.example.com/artifactory/libs-release/com/example/services/authentication/1.2.3/authentication-1.2.3.jar'


Documentation
-------------

The latest documentation is available at https://stac.readthedocs.org/en/latest/

Source
------

The source code is available at https://github.com/smarter-travel-media/stac

Download
--------

Python packages are available at https://pypi.python.org/pypi/stac

Changes
-------

The change log is available at https://stac.readthedocs.org/en/latest/changes.html
starman 1.0.0
A library which implements algorithms of use when trying to track the true state of one or more systems over time in the presence of noisy observations.
License: MIT

.. image:: https://travis-ci.org/rjw57/starman.svg?branch=master
    :target: https://travis-ci.org/rjw57/starman

.. image:: https://coveralls.io/repos/github/rjw57/starman/badge.svg?branch=master
    :target: https://coveralls.io/github/rjw57/starman?branch=master

.. image:: http://readthedocs.org/projects/starman/badge/?version=latest
    :target: http://starman.readthedocs.org/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://zenodo.org/badge/3809/rjw57/starman.svg
    :target: https://zenodo.org/badge/latestdoi/3809/rjw57/starman

Starman: State-estimation and tracking for Python
=================================================

Starman is a library which implements algorithms of use when trying to track the
true state of one or more systems over time in the presence of noisy
observations.

Full `documentation <http://starman.readthedocs.org/en/latest/>`_ is available
on readthedocs.

Features
--------

Currently starman supports the following algorithms:

* Kalman filtering for state estimation.
* Rauch-Tung-Striebel smoothing for the Kalman filter.
* Scott and Longuet-Higgins feature association for matching measurments to
  tracked states.

Copyright and licensing
-----------------------

See the `LICENCE.txt <LICENCE.txt>`_ file in the repository root for details.
tl;dr: MIT-style.

Why "starman"?
--------------

Starman implements the Kalman filter. The Kalman filter was used for trajectory
estimation in the Apollo spaceflight programme. Starman is thus a blend of
"star", signifying space, and "Kalman". That and "kalman" was already taken as a
package name on the PyPI.
volatile 2.1.0
A small extension for the tempfile module.
License: MIT

volatile
========

Temporary files and directories.

Contains replacement for ``tempfile.NamedTemporaryFile`` that does not delete
the file on ``close()``, but still unlinks it after the context manager ends,
as well as a ``mkdtemp``-based temporary directory implementation.

* Mostly reuses the stdlib implementations, supporting the same signatures.
* Due to that, uses the OS's built-in temporary file facilities, no custom
  schemes.
* Tested on Python 2.6+ and 3.3+


Usage
-----

A typical use-case that is not possible with the regular
``NamedTemporaryFile``:

.. code-block:: python

    import volatile

    with volatile.file() as tmp:
        # tmp behaves like a regular NamedTemporaryFile here, except for that
        # it gets unlinked at the end of the context manager, instead of when
        # close() is called.

        tmp.close()

        # run the users $EDITOR
        run_editor(tmp.name)

        buf = open(tmp.name).read()

        # ...

Temporary directories:

.. code-block:: python

    import volatile

    with volatile.dir(): as dtmp:
        pass  # ... can use directory here

    # a missing dtmp will not throw an exception!

Unix domain sockets:

.. code-block:: python

    import volatile

    with volatile.unix_socket(): as (sock, addr):
        # sock is the bound socket, addr its address on the filesystem
        pass  # ... can use directory here

The source is fairly short and contains `API docs in the comments
<https://github.com/mbr/volatile/blob/master/volatile/__init__.py>`_.