.. highlight:: rst

Project Information
===================
Features
--------
Diving features

#. Buhlmann diving decompression model with gradient factors by Erik
   Baker - ZH-L16B-GF and ZH-L16C-GF.
#. Nitrox and trimix gas mixes.
#. Unlimited amount of travel and decompression gas mixes.
#. Altitude diving.
#. Algorithm validation (i.e. check if first decompression stop is at
   ascent ceiling).

Library features

#. Classes and function extensible via Object Oriented Programming and
   generators.
#. Calculated data is returned as iterator allowing interaction with the
   DecoTengu library at any stage of calculation.
#. Supported command line utilities for decompression stops calculation,
   dive data saving in a CSV file and plotting of the data.
#. Highly configurable (surface pressure, ascent rate, descent rate, meter
   to bar conversion constants, etc.).
#. Supported various alternative implementations for performance and
   accuracy comparison purposes

   #. For decompression calculations without exponential function.
   #. For decompression calculations using fixed point arithmetic.
   #. Naive algorithms implemented by some dive computers and diving
      software.

Installation
------------
DecoTengu depends on Python 3.3 or later.

To install DecoTengu from PyPi ::

    $ pip install --user decotengu

To use latest version of DecoTengu from source code repository ::

    $ git clone http://git.savannah.gnu.org/cgit/decotengu.git
    $ cd decotengu
    $ export PYTHONPATH=$(pwd)
    $ export PATH=$(pwd)/bin

or ::

    $ git clone http://git.savannah.gnu.org/cgit/decotengu.git
    $ cd decotengu
    $ python3 setup.py build
    $ python3 setup.py install --user

DecoTengu provides `dt-plot` script, which requires R. This is optional.

.. vim: sw=4:et:ai