geometrical-layout

============================================ Dowell Geometrical Layout Python SDK Library

This client is designed for the Dowell Geometrical Layout of Big Data API Geometrical Layout Api_. By specifying the radius, length, and width, users can determine the number of circles that can be arranged in a triangular packaging, minimizing wastage of space. The coordinates of the circle can also be determine.

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

This library currently supports Python 3.5+. The requests_ package is required.

We recommend using pip_ and virtualenv_ for Installation. Please note that the Python package is called geometrical-layout.

Installing a Released Version

.. code-block:: shell

virtualenv env
source env/bin/activate
pip install geometrical-layout

Example

.. code-block:: python

from geometrical_layout import GeometricalLayoutApi
req = GeometricalLayoutApi()

Methods

post_object

The endpoint receive a json object of radius, length, width. Resonse is dict containing number of circles and coordinates.

Parameters

• radius - A float or an int that identifies a circle radius, is needed to make API calls.

• length - An int denoting the length of the space in canvas

• width - A int denoting the length of the space in canvas. is the last parameter needed to make API request.

Examples

.. code-block:: python

# Get the number of circles from the response.
numberOfcircle = req.post_object(radius, length, width)
print(numberOfcircle)

Licensing

This library uses the Apache License, version 2.0_. Please see the library's individual files for more information.

.. _Apache License, version 2.0: https://www.apache.org/licenses/LICENSE-2.0

Support & Discussion

For Support and Discussion, visit the official DoWellUXLab website. Documentation is available at https://geometrical-layouts.readthedocs.io/en/latest/index.html

.. _Geometrical Layout Api: https://github.com/DoWellUXLab/DoWell-Geometrical-layout-of-Big-Data .. _requests: https://pypi.python.org/pypi/requests .. _pip: https://pip.pypa.io/ .. _virtualenv: https://virtualenv.pypa.io/