semvec/pypi-packages huggingface dataset:
jamorasep 0.0.2
Japanese mora separator
License: MIT
Requires Python: >=3.8
Keywords: jpyomi


jamorasep
=========


.. image:: https://img.shields.io/pypi/v/jamorasep.svg
   :target: https://pypi.python.org/pypi/jamorasep
   :alt: pypi

.. image:: https://readthedocs.org/projects/jamorasep/badge/?version=latest
   :target: https://jamorasep.readthedocs.io/en/latest
   :alt: Documentation Status

.. image:: https://github.com/tachi-hi/jamorasep/actions/workflows/test.yml/badge.svg
   :target: https://github.com/tachi-hi/jamorasep/actions/workflows/test.yml
   :alt: CI

.. image:: https://img.shields.io/pypi/l/jamorasep.svg
   :target: https://opensource.org/licenses/MIT
   :alt: MIT

Japanese text parser to separate Hiragana/Katakana string into morae (syllables).

License
-------

Copyright (c) 2023 Hideyuki Tachibana, `MIT License <https://github.com/tachi-hi/jamorasep/blob/master/LICENSE>`_

Usage
-----
Install
^^^^^^^

.. code-block:: bash

    pip install jamorasep

Code Example
^^^^^^^^^^^^

.. code-block:: python

   # import
   import jamorasep
   jamorasep.parse("シャンプーハット", output_format="katakana")
   jamorasep.parse("シャンプーハット", output_format="simple-ipa")
   jamorasep.parse("シャンプーハット", output_format="kunrei")
   jamorasep.parse("シャンプーハット", output_format="hepburn")
superwise-api 4.14.0
Superwise SDK for Python
License: MIT
Requires Python: <4.0,>=3.10
Keywords: OpenAPI, SuperwiseSDK

# Superwise Python SDK

### A python SDK to integrate with Superwise Api

In order to use this library you need:

```
python > 3.8
pydantic < 2
```

### Install

Use pip to install the Superwise SDK

```
pip install superwise-api

```

## Versioning

We use [SemVer](http://semver.org/) for versioning. For all available versions, see the [tags in this repository](https://github.com/your/project/tags).

## License
The Superwise SDK is released under the MIT licence (See LICENSE file)