semvec/pypi-packages huggingface dataset:
test-image-results 0.0.3
Upload test images to web service
License: MIT
Keywords: Testing,image

Test Image Difference uploader.
===============================

Uploads to a lambda function.

* Requires API key for upload
* Returns a url with the difference display

0.0.3
=====

* Ignore logging from requests, unless it's an error
* Fix packaging cruft

0.0.2
=====

* initial release

0.0.1
=====

* Prerelease
shwirl 0.1.6
Meaningful colouring of spectral cube data with volume rendering
License: MIT
Keywords: visualisation astronomy spectral cubes

![alt text](shwirl/docs/_static/shwirl_splash.png "Shwirl")

About shwirl
=============

**shwirl** is a custom standalone Python program to visualise spectral data cubes with ray-tracing volume rendering.
The program has been developed to investigate transfer functions and graphics shaders as enablers for
scientific visualisation of astronomical data. Details about transfer functions and shaders developed and implemented in
**shwirl** can be found in a full length article by [Vohl, Fluke, Barnes & Hassan (2017)](https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stx1676).

A transfer function is an arbitrary function that combines volumetric elements (or voxels) to set the colour,
intensity, or transparency level of each pixel in the final image. A graphics shader is an algorithmic kernel
used to compute several properties of the final image such as colour, depth, and/or transparency.
Shaders are particularly suited to computing transfer functions, and are an integral part of the graphics
pipeline on Graphics Processing Units.

The program utilises [Astropy](http://www.astropy.org) to handle FITS files and World Coordinate System, 
[Qt](http://www.qtcentre.org) (and [PyQt](https://www.riverbankcomputing.com/software/pyqt/download5)) for the user interface,
and [VisPy](http://vispy.org), an object-oriented Python visualisation library binding onto OpenGL.
We implemented the algorithms in the fragment shader using the GLSL language.

The software has been tested on Linux, Mac, and
Windows machines, including remote desktop on cloud computing infrastructure.
 
**Disclaimer**: While the software is available for
download and ready to visualise data, this is not intended as a full software release just yet. 

Documentation
-------------
Documentation can be found at [readthedocs](http://shwirl.readthedocs.io/en/latest/).

Installation
------------
You need Qt5, PyQt5. 
See documentation for more details. 

pip
---
When Qt and PyQt is installed, you can install via pip, e.g.

`pip3 install shwirl`

and run with 

`shwirl`

Issues, requests and general inquiries
--------------------------------------
Please send issues, feature requests and/or general inquiries to Dany Vohl via http://macrocosme.github.io/#contact.
You can also simply open a [new issue](https://github.com/macrocosme/shwirl/issues) on github directly.

Want to contribute?
-------------------
As mentioned above, shwirl is not intended to be a finished product yet. If you would like to contribute, pull requests are welcomed.

License
-------
shwirl is licensed under the terms of the (new) BSD license. 
A copy of the license is included within this repository.

Copyright
---------
Copyright (c) 2017, Dany Vohl
All rights reserved.
mingle 0.1.7
Get lines from a number of log files with different time-stamp formats in chronological order
License: MIT

Mingle
------

Mingle is a library and command line tool to allow you to read from many log files, line by line in chronological order.

Introduction
============

Mingle uses the python-dateutil module to flexibly attempt to parse the first part of each line as a datetime, and
provides a generator to access the lines in total chronological order, across the input files.

It also offers a function to conveniently print the lines out in chronological order, optionally marking which files
the lines come from.

A command line utility 'mingle' is also provided, to print the log file lines in chronological order from the shell.

Usage:
======

To access a generator that will return lines from multiple log files in chronological order::

    >>> from mingle import mingled
    >>> files = ['webserver-log', 'db-log', 'firewall-log']
    >>> for line, filename in mingled(files):
    >>>     print("The line: " + line)
    >>>     print("From file:" + filename)


To conveniently print the lines to stdout::

    >>> import mingle
    >>> files = ['webserver-log', 'db-log', 'firewall-log']
    >>> mingle.cat(files)


To print the usage of the command line interface::

    user@localhost:~$ mingle -h
    usage: mingle [-h] [-q] files [files ...]

    Inter-mingle the contents of several log files by date stamp.

    positional arguments:
      files        the files to intermingle

    optional arguments:
      -h, --help   show this help message and exit
      -q, --quiet  strip the filename annotations from the output
yomo 0.0.11
Python 3 modules for atmospheric research, especially airborne sunphotometry.
License: MIT

==========
Yo Modules
==========

Python 3 modules for atmospheric research, especially airborne sunphotometry. 

Yo comes from the Japanese word for the Sun.

.. moduleauthor:: Yohei Shinozuka <Yohei.Shinozuka@nasa.gov>

Examples:
from yomo import assemble, Look
with assemble(r'c:\data\source\AIRHOUSEKEEPING\Hskping_P3_20160910_R0.ict') as dataset:
    with Look(dataset, 'time', 'Relative_Humidity') as lk0:
        pass