semvec/pypi-packages huggingface dataset:
sed3 1.1.34
3D viewer and editor of color seeds
License: MIT
Keywords: viewer 3D editor

[![Build Status](https://travis-ci.org/mjirik/sed3.svg?branch=master)](https://travis-ci.org/mjirik/sed3)
[![Coverage Status](https://coveralls.io/repos/mjirik/sed3/badge.svg)](https://coveralls.io/r/mjirik/sed3)
[![PyPI version](https://badge.fury.io/py/sed3.svg)](http://badge.fury.io/py/sed3)

sed3
====

3D viewer and seed editor

Example 1 - get seeds
=======

    import sed3
    import numpy as np

    img = np.random.random([10, 12, 15])
    img[6:9, 2:7, 1:5] += 2
    img[7:9, 3:9, 8:14] += 3

    ed = sed3.sed3(img)
    ed.show()
    print ed.seeds

![sed_screenshot](http://147.228.240.61/queetech/www/sed3_screenshot.png)


Example 2 - static figure
=======

    import sed3
    import numpy as np

    img = np.random.random([10, 12, 15])
    img[6:9, 2:7, 1:5] += 2
    img[7:9, 3:9, 8:14] += 3

    sed3.show_slices(img)

![sed_screenshot](http://147.228.240.61/queetech/www/sed3_screenshot3.png)

Example 3 - more options
=======

    import sed3
    import numpy as np

    img = np.random.random([10, 12, 15])
    img[6:9, 2:7, 1:5] += 2
    img[7:9, 3:9, 8:14] += 3


    seeds = np.zeros(img.shape)
    seeds[6:8, 4, 3:10] = 1
    seeds[6:8, 6:11, 9:11] = 2
    ed = sed3.sed3(img, seeds=seeds)

    contour = np.zeros(img.shape)
    contour[6:8, 3:10, 2:10] = 1
    contour[6:8, 5:8, 4:7] = 2
    ed = sed3.sed3(img, seeds=seeds, contour=contour, windowW=3.5, windowC=1.5)

    seeds = ed.show()

![sed_screenshot](http://147.228.240.61/queetech/www/sed3_screenshot2.png)

Example 4 - PyQt version
=======

    import sed3qt
    import numpy as np

    from PyQt4.QtGui import QApplication

    img = np.random.random([10, 12, 15])
    img[6:9, 2:7, 1:5] += 2
    img[7:9, 3:9, 8:14] += 3


    app = QApplication([])
    ed = sed3.sed3qt(img)
    ed.exec_()
    print ed.seeds

Install notes 
=============

    sudo apt-get install python-matplotlib
    
    pip install sed3
django-custom-settings 0.1.4
Custom settings loader for standalone django apps
License: MIT
Keywords: django-custom-settings

Django Custom Settings
======================

# FAQ

* What does this do?

> Register your custom standalone app settings into Django conf, so they can be overrided by users of your standalone app.

* How does it work?

> Create a settings.py in your app. Make sure your settings are all caps.
> In your init file for you app, add a call to django-custom-settings and you're done.

# Full Example

```python
# __init__.py
from custom_settings.loader import load_settings
load_settings(__name__)
```

```python
# settings.py
MYAPP_SETTINGS_FOO = "foo"
MYAPP_SETTINGS_BAR = "bar"

myapp_settings_that_wont_be_loaded = "will not be available, because it's not all uppercase"
```

```python
# usage, on views.py, for example
from django.conf import settings

def home(request):
    
    if settings.MYAPP_SETTINGS_FOO == "foo":
        return "this is a foo"
    else:
        return "this is not a foo"
```

History
=======

## 0.1.0 (2016-02-01)

* First release on PyPI.
filks 0.1.2
Generates filks based on a poem format and corpus
License: MIT

filks
=====

Generates silly poems based off of mad-libbed, serious poems, a tagged
text corpus, and a pronunciation dictionary.

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

1. Python 3.3+

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

To install:

::

    pip install filks
    filk install

The ``filk install`` step is not *strictly* necessary if you plan to use
strictly a library and corpus you already have installed; however in
most cases this will be most convenient. This step downloads the
``nltk`` library texts to your machine.

Usage
=====

To generate a terrible poem:

::

    filk format

See ``filk format -h`` for options.

Development
===========

To build the dev environment:

::

    make venv
    . venv/bin/activate
    python main.py

LICENSING
=========

All original source code in this repo, including all \*.py and
configuration files, is released under the MIT license included.

However, this library relies on corpuses from ``nltk`` which may have a
variety of free-ish licenses.
pyUnRAR2 0.99.6
Improved Python wrapper around the free UnRAR.dll
License: MIT

pyUnRAR2 is a ctypes based wrapper around the free UnRAR.dll. 

It is an modified version of Jimmy Retzlaff's pyUnRAR - more simple,
stable and foolproof.
Notice that it has INCOMPATIBLE interface.

It enables reading and unpacking of archives created with the
RAR/WinRAR archivers. There is a low-level interface which is very
similar to the C interface provided by UnRAR. There is also a
higher level interface which makes some common operations easier.
string_algorithms 0.5.0
Collection of various string algorithms, including KMP, Aho-Corasick, Trie, SuffixArrays
License: MIT
Keywords: string_algorithms

===============================
String Algorithms
===============================

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

.. image:: https://img.shields.io/travis/mhozza/string_algorithms.svg
        :target: https://travis-ci.org/mhozza/string_algorithms

.. image:: https://readthedocs.org/projects/string_algorithms/badge/?version=latest
        :target: https://readthedocs.org/projects/string_algorithms/?badge=latest
        :alt: Documentation Status


Collection of various string algorithms, including KMP, Aho-Corasick, Trie, SuffixArrays

* Free software: ISC license
* Documentation: https://string_algorithms.readthedocs.org.

Features
--------

* TODO

Credits
---------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
Druuid 0.1.1
A time relative identifier
License: MIT

# Python Druuid

A python implementation of a date-realtive (and relatively universally unique)
UUID generator. It is based on the [original][1] implementation in Ruby.

## Concept

Druuid's are a 64 bit identifiers which are sortable since they are time based.
A druuid is compromised of 2 blocks:
* 41-bit timestamp in miliseconds since epoch
* 23 random bits

For example, a druuid generated on 2016-05-16 might look like
`12276209757600130011`.

In binary: `10101010010111011101101110111011011111011 11100001010001111011011`

In base 36: `2L9OH62W41ES0`

## Examples

```
>>> from druuid import Druuid
>>>
>>> d = Druuid()
>>> d.druuid
12276209757600130011
>>> d.time
'Mon May 16 15:37:23 2016'
>>>
>>> d = Druuid(12276215031090144168)
>>> d.time
'Mon May 16 15:47:52 2016'
```

[1]: https://github.com/recurly/druuid