semvec/pypi-packages huggingface dataset:
lyrics-displayer 0.7.8
Displays lyrics of songs played on Sonos system.
License: MIT
Requires Python: >=3.6
Keywords: sonos lyrics lyricfetch

[![PyPI version](https://badge.fury.io/py/lyrics-displayer.svg)](https://badge.fury.io/py/lyrics-displayer)

Lyrics Displayer
----------------

Lyrics Displayer automatically detects what song is playing on a
music player connected to the same network.

It then queries lyrics from various online sources and displays
the lyrics to the command line (attempting to estimate the current
position in the song).


Supported Players
-----------------

  - Sonos


Lyrics Sources
--------------

Integrates with [lyricfetch](https://github.com/ocaballeror/LyricFetch)
which has an extensive list of supported sources.


Usage
-----

To use simply, in command line do::

    >>> sing-along


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

    >>> pip install lyrics-displayer
django-model-cache 1.0.1
An easy-to-use cache for Django models.
License: MIT

# django-model-cache

An easy-to-use cache for Django models.

This code has been developed and used in a production environment for one year.

## How to use
There follows some examples of use. For further examples, see `tests/simple/tests.py`.

```python
class Brand(models.Model):
    name = models.CharField(max_length=128)

    cache = CacheController(timeout=None)


class Product(models.Model):
    code = models.UUIDField(default=uuid.uuid4, editable=False, unique=True)
    brand = models.ForeignKey('Brand')
    name = models.CharField(max_length=255)

    cache = CacheController(fields=['code', ('brand_id', 'name')], related_fields=['brand'], timeout=None)

    class Meta:
        unique_together = ('name', 'brand')


# Get a product by pk.
product = Product.cache.get(pk=1)

# Get a product by a unique key.
product = Product.cache.get(code='A001')

# Load the related models.
product.load_related()
```

## How to test

Just run `tox` or install the dependencies and run `cd tests/ && ./manage.py test`.
medicalsegment 0.1.0
Medical imaging segmentation
License: MIT
Keywords: segment

.. raw:: html

    <embed>
        <p align="center">
            <img width="200" src="https://github.com/yngtodd/segment/blob/master/img/segment_crop.png">
        </p>
    </embed>

--------------------------

.. image:: https://badge.fury.io/py/segment.png
    :target: http://badge.fury.io/py/segment

.. image:: https://travis-ci.org/yngtodd/segment.png?branch=master
    :target: https://travis-ci.org/yngtodd/segment


Segment
-------

Medical imaging segmentation



Documentation
-------------

The full documentation is at http://segment.rtfd.org.



History
-------

0.1.0 (2018-08-27)
++++++++++++++++++

* First release on PyPI.