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Python implementation of Avro Phonetic

Project description

A Python implementation of the popular Bengali phonetic-typing software Avro Phonetic.

Branch: Master: Master | Develop: Develop

Overview

pyAvroPhonetic provides a Python package which includes a text parser that converts Bangla written in Roman script to its phonetic equivalent in Bangla. It implements the Avro Phonetic Dictionary Search Library by Mehdi Hasan Khan.

Currently supported and tested Python versions are 2.5, 2.6 and 2.7. The code has not been tested on Python 3, but porting it to Python 3 is on the agenda. It will be possible once the simplejson library is stable for Python 3.

N.B. This package is under development and is not yet fit for production use.

Inspirations

This package is inspired from Rifat Nabi's jsAvroPhonetic. So far, the code is a direct (and shameless) translation of jsAvroPhonetic into Python.

Installation

With Pip

Option 1. Using Pip (the easy way) (recommended):

$ sudo pip install PyAvroPhonetic

Option 2. Using Pip in a Virtualenv (needs virtualenv):

$ virtualenv pyAvroPhonetic
$ cd pyAvroPhonetic
$ source bin/activate
$ pip install PyAvroPhonetic

Without Pip

Option 3. Using Git (needs git):

$ git clone https://github.com/kaustavdm/pyAvroPhonetic
$ cd pyAvroPhonetic
$ python setup.py build
$ sudo python setup.py install

Option 4. Using Git in a Virtualenv (needs git and virtualenv):

$ virtualenv pyAvroPhonetic
$ cd pyAvroPhonetic
$ source bin/activate
$ git clone https://github.com/kaustavdm/pyAvroPhonetic
$ cd pyAvroPhonetic
$ python setup.py build
$ python setup.py install

Usage

At present only a subset of features have been implemented. When implemented, the parser can be accessed as:

>>> from pyavrophonetic import avro
>>> avro.parse('aami banglay gaan gai')

Contributing

Fork -> Do your changes -> Send a Pull Request. It’s that easy!

Note for developers

Coding style follows PEP 8 along with PEP 257 for Docstring conventions. Unit tests are run using the Nose library and syntax and style checking is done with Pylint.

Please install these two libraries in your development environment. The tests/requirements.txt file specifies testing dependencies. To install them with pip:

$ sudo pip install -r tests/requirements.txt

Pylint is used with some modifications to the default configuration. The notable ones are:

  • W0142 is ignored to allow usage of “magic methods”

  • Maximum branches in function body: 20

  • Maximum statements in function body: 100

For others please see the [Design] section in pylint-rc.ini. Our target is to keep up a score of 10.0/10 in Pylint’s reports. Tests on Travis will fail if Pylint doesn’t give 10.0/10. This is intentationally used to ensure uniform code structure and quality.

Run unit tests from the root of the repository:

$ nosetests --exe -v

Run pylint from root of the repository:

$ pylint --rcfile=pylint-rc.ini pyavrophonetic

We need more testers

If you find any bugs, please report them in the Issues queue. As always, before you report any new issue, please check that it has not been already posted by someone else.

Acknowledgements

  • Mehdi Hasan Khan for originally developing and maintaining Avro Phonetic

  • Rifat Nabi for porting it to Javascript

  • Md Enzam Hossain for helping me understand the ins and outs of the Avro dictionary and the way it works

  • Sarim Khan for writing ibus-avro which helped to clarify my concepts further

License

Copyright (C) 2013 Kaustav Das Modak <kaustav.dasmodak@yahoo.co.in>.

This file is part of pyAvroPhonetic.

pyAvroPhonetic is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

pyAvroPhonetic is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with pyAvroPhonetic.  If not, see <http://www.gnu.org/licenses/>.

The full license text can be found in LICENSE.

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