semvec/pypi-packages huggingface dataset:
ethereum-tester-client 1.2.5
Ethereum JSON RPC Client for testing
License: MIT
Keywords: ethereum

# Ethereum Tester Client

[![Build Status](https://travis-ci.org/pipermerriam/ethereum-tester-client.png)](https://travis-ci.org/pipermerriam/ethereum-tester-client)
   

Python client for testing applications that use either the
[ethereum-rpc-client](https://github.com/pipermerriam/ethereum-rpc-client) or the [ethereum-ipc-client](https://github.com/pipermerriam/ethereum-ipc-client).
dask-funk 0.9.1
Composable keyword function graphs
License: MIT

==========
dask-funk
==========

.. image:: https://travis-ci.org/Savvysherpa/dask-funk.svg?branch=master
    :target: https://travis-ci.org/Savvysherpa/dask-funk

dask-funk provides an extension to dask_ that creates keyword named functions
(hence the funk!) from dasks_ or function graphs represented as dictionaries.
It is inspired by Plumatic's wonderful Graph_ library for clojure.

.. _dask: http://dask.pydata.org/en/latest/#
.. _dasks: http://dask.pydata.org/en/latest/spec.html
.. _Graph: https://github.com/plumatic/plumbing#graph-the-functional-swiss-army-knife

Example
=======


.. code:: python

    >>> from operator import add

    >>> import daskfunk as dsf

    >>> inc = lambda x: x + 1
    >>> double = lambda n: n * 2
    >>> d = {'n': inc, 'doubled': double}
    >>> f = dsf.compile(d)
    >>> result = f(x=2)
    >>> result == {'n': 3, 'doubled': 6}
    True

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


.. code:: bash

    conda install dask-funk

    or

    pip install dask-funk


Please fix or point out any errors, inaccuracies or typos you notice.
dictator 0.1.1
Dictator is a tiny library for Robots to work with Redis as a Dict.
License: MIT

Dictator
========

Dictator is a tiny library for Robots™ to work with Redis as a Dict.

It handles Redis API commands and represent itself as a dict-like
object.

Install
~~~~~~~

.. code:: bash

    $ pip install dictator

Usage
~~~~~

It’s easy to start by creating ``Dictator`` object

.. code:: python

    >>> dc = Dictator(host='localhost', port=6379, db=0)

For the moment it handles not all features of Python Dict but basics:

-  ``.set(key, value)``

   .. code:: python

       >>> dc.set('Planets', ['Mercury', 'Venus', 'Earth'])
       >>> dc['Stars'] = ['Sun'] 

-  ``.get(key)``

   .. code:: python

       >>> dc['Stars']
       ['Sun']
       >>> dc.get('Planets')
       ['Mercury', 'Venus', 'Earth']

   You can set default value for ``get()`` function just like for a
   ``dict``-object:

   .. code:: python

       >>> dc.get('Comets', 'No data')
       'No data'

-  ``.update(other=None, **kwargs)``

   .. code:: python

       >>> dc.update({'Stars': ['Sun', 'Vega']})
       >>> dc.update(Stars=['Sun'])

-  ``.pop(key, default=None)``

   .. code:: python

       >>> dc.pop('Stars')
       ['Sun']
       >>> dc.pop('Comets')

-  ``.delete(key)``

   .. code:: python

       >>> dc.delete('Comets')

   or

   .. code:: python

       >>> del dc['Comets']

-  ``.keys()`` and ``.values()``

   .. code:: python

       >>> dc.keys()
       ['Planets', 'Stars']
       >>> dc.values()
       [['Mercury', 'Venus', 'Earth']]

-  ``.items()``

   .. code:: python

       >>> dc.iterms()
       [('Planets', ['Mercury', 'Venus', 'Earth'])]

-  also it supports iteration via generator object:

   -  ``.iterkeys()``
   -  ``.itervalues()``
   -  ``.iteritems()``

-  and more
io3d 1.1.1
3D data read and write
License: MIT
Keywords: dicom 3D read write

[![Build Status](https://travis-ci.org/mjirik/io3d.svg?branch=master)](https://travis-ci.org/mjirik/io3d)
[![Coverage Status](https://coveralls.io/repos/mjirik/io3d/badge.svg?branch=master)](https://coveralls.io/r/mjirik/io3d?branch=master)

io3d
====

3D data read and write


Install
===


    pip install io3d

You can use 3D viewer sed3 for visualization

    pip install sed3


Example 1
===

    python io3d/datareader.py -i ./sample_data/jatra_5mm/

Example 2
===

    import io3d
    import sed3
    dr = io3d.DataReader()
    datap = dr.Get3DData('sample_data/jatra_5mm/', dataplus_format=True)

    ed = sed3.sed3(datap['data3d'])
    ed.show()
    
Example 3 - Qt Widget
=====================

    import io3d.datareaderqt
    app = QtGui.QApplication(sys.argv)    
    w = io3d.datereaderqt.DatareaderWidget()
    w.show()
    app.exec_()
    datap = w.datap
    
![load_widget](imgs/load_widget.png)


Test data
===

[io3d_sample_data](http://147.228.240.61/queetech/sample-extra-data/io3d_sample_data.zip)

[ct_head.rawiv](http://mgltools.scripps.edu/downloads/tars/releases/DocTars/DOCPACKS/Vision/doc/Tutorial/headandslice/ct_head.rawiv)

Put this data into sample_data dir
django-exportdb 0.4.7
Dump the entire database to xlsx workbook with a sheet per model
License: MIT

Django Export DB
================

Export the entire database to an Excel workbook with a sheet per model.

.. image:: https://travis-ci.org/maykinmedia/django-exportdb.svg?branch=master
  :target: https://travis-ci.org/maykinmedia/django-exportdb

.. image:: https://codecov.io/github/maykinmedia/django-exportdb/coverage.svg?branch=master
  :target: https://codecov.io/github/maykinmedia/django-exportdb?branch=master

.. image:: https://coveralls.io/repos/maykinmedia/django-exportdb/badge.svg
  :target: https://coveralls.io/r/maykinmedia/django-exportdb

.. image:: https://img.shields.io/pypi/v/django-exportdb.svg
  :target: https://pypi.python.org/pypi/django-exportdb

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

    $ pip install django-exportdb

Add `exportdb` to INSTALLED_APPS, and make sure that django.contrib.admin is in there as well.

Add

    url(r'^admin/exportdb/', include('exportdb.urls'))

to your urls.py, make sure that it comes before url(r'^admin/', ...) if you hook
it into the admin.

Configuration
-------------

EXPORTDB_EXPORT_CONF
    Configures what models and fields are exported. Example::

         EXPORT_CONF = {
            'models': {
                'auth.User': {
                    'fields': ('username',),
                    'resource_class': 'app.tests.utils.UserResource'
                },
                'auth.Group': {
                    'resource_class': 'app.tests.utils.GroupResource'
                },
                'auth.Permission': {
                    'fields': ('name',)
                }
            }
        }
EXPORTDB_CONFIRM_FORM
    Form shown to confirm the export
EXPORTDB_EXPORT_ROOT
    The filesystem path where the exports are stored
EXPORTDB_PERMISSION
    Who can access the export. By default only superusers have access.

    To allow all `staff` users to use the export add the following to your settings::

        EXPORTDB_PERMISSION = rules.is_staff