semvec/pypi-packages huggingface dataset:
netseasy 0.1.1
netseasy - Django gateway for the payemnt solution Easy from Nets

netseasy - Django gateway for the payment solution 'Easy' from Nets
===================================================================

.. image:: https://gitlab.com/norsktest/netseasy/badges/master/pipeline.svg
   :target: https://gitlab.com/norsktest/netseasy/commits/master
   :alt: pipeline status

.. image:: https://img.shields.io/badge/docs-darkgreen.svg
   :target: https://norsktest.gitlab.io/netseasy

.. image:: https://gitlab.com/norsktest/netseasy/badges/master/coverage.svg
   :target: https://norsktest.gitlab.io/netseasy/coverage
   :alt: coverage report


This is a django gateway for the 'Easy' payment solution from Nets.
The EasyAPI is a REST-API and supports webhooks to send updates back to Django.


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

For the current stable version::

    pip install netseasy

For the development version::

    pip install -e git+git@gitlab.com:norsktest/netseasy.git


Setup
-----
You need to set these values in your settings.py::

    EASY_CHECKOUT_URL = "https://test.checkout.dibspayment.eu/v1/checkout.js?v=1"
    EASY_PAYMENT_URL = "https://test.api.dibspayment.eu/v1/payments/"
    EASY_WEBHOOK_URL = "https://your.local.server/payment
    EASY_CTX = EasyContext(<EASY_SECRET_KEY>, <EASY_CHECKOUT_KEY>')

To test the solution in development, you must use a http tunnel using Ngrok (ngrok.com)
or similar in order to get the webhooks to work. Running in dev, the EASY_WEBHOOK_URL setting must
be set to your ngrok (or similar) address.
omexml-dls 1.1.0
Package for simple and consistent creation and parsing of OME metadata for B24 of Diamond Light Source Ltd.
Requires Python: >=2.7

# [omexml-dls](https://github.com/DiamondLightSource/python-omexml-dls)

Package to help simply and consistently create and parse OME metadata for B24 of Diamond Light Source Ltd. This is a modified copy of [python_bioformats](https://github.com/CellProfiler/python-bioformats)' omexml.py with a section from the Allen Institute for Cell Science's [aicsimageio](https://github.com/AllenCellModeling/aicsimageio/tree/master) version of omexml.py (indicated within the file). This package extends capabilities, predominantly in terms of ROIs, while offering a light-weight distribution of the omexml file.

#### Recommended import:
`from oxdls import OMEXML`

## Current changes (compared to python-bioformats)
* TiffData - this allows IFDs to be defined (created using `set_tiffdata_count(value)`) (from [aicsimageio](https://github.com/AllenCellModeling/aicsimageio/tree/master))
* `set_` and `get_ExposureTime()` functions have been added
* X, Y, Z units have been added for each plane
* Square ROIs (an roiref must be created for each ROI first, then ROIs are created using `set_roi_count(value)`, then for each ROI: ROI > Union > Rectangle, where ROI parameters can be set)
* Small formatting changes to improve consistency