semvec/pypi-packages huggingface dataset:
micropython-umqtt.robust 1.0
Lightweight MQTT client for MicroPython ("robust" version).
License: MIT

umqtt.robust
============

umqtt is a simple MQTT client for MicroPython. (Note that it uses some
MicroPython shortcuts and doesn't work with CPython). It consists of
two submodules: umqtt.simple and umqtt.robust. umqtt.robust is built
on top of umqtt.simple and adds auto-reconnect facilities for some of
networking errors.
hms_base 2.0
Base package for HAUM micro-services
License: MIT

=============================
hms_base, base module for HMS
=============================

This Python module is very simple and allow you to connect to the HMS network
with the protocol already implemented.

Features
========

A basic HMS microservice can do the following:

- Connect to the messaging server
- Publish a message with a topic key
- Receive and handle messages from various topic keys

And that's it. All these functions are provided by this Python module.

Installing
==========

hms_base is `available on PyPI <https://pypi.python.org/pypi/hms_base>`_ so
you can register it as a dependency for microservices your create.

Be sure to respect semantic versioning for non-breaking changes:

::

    hms_base>=2.0,<3

License
-------

This project is brought to you under MIT license. For further information,
please read the provided ``LICENSE.txt`` file.
vtt 0.3.1
Variable Trigonometric Threshold (VTT)
License: MIT
Keywords: machine learning linear model computational biology

A machine learning linear classifier as defined in A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha [2008]. "Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks". Genome Biology. 9(Suppl 2):S11 .
To be used in conjunction with the Scikit-Learn python package.
hls2dash 0.2.1
Command line tools for HLS to MPEG DASH repackaging
License: MIT

Description
===========

This is an open source video streaming packager and toolkit to rewrap
live HLS streams to live MPEG DASH streams.

Features
--------

-  Generate single period MPEG DASH for live based on an HLS live stream
-  Generate multi period MPEG DASH for live based on an HLS live stream
   with SCTE35 splicing
-  Rewrap MPEG2 TS segment to fragmented MP4

Usage
=====

Install
-------

Installation from Python package index:

::

     pip install hls2dash

Installation from source:

::

     python setup.py install

Running
-------

Generate Single period MPEG DASH:

::

     hls-to-dash http://example.com/master.m3u8 > stream.mpd

Generate Multi period MPEG DASH:

::

     hls-to-dash http://example.com/master.m3u8 --multi > stream.mpd

Rewrap MPEG2 TS segment to fragmented MP4

::

     ts-to-fmp4 master2500_19274.ts 2500_19274.dash

or when TS segment is on a remote server

::

     ts-to-fmp4 http://example.com/master2500_19274.ts 2500_19274.dash

Help
====

hls-to-dash
-----------

::

    usage: hls-to-dash [-h] [--multi] [--ctx CTX] [--ctxdir CTXDIR] [--debug]
                       PLAYLIST

    Generate single and multi period MPEG DASH manifest from a live HLS source.
    Writes MPEG DASH manifest to stdout.

    Currently assumes that HLS variant is named as 'master[PROFILE].m3u8'
      master2500.m3u8, master1500.m3u8
    and that the segments are named as 'master[PROFILE]_[SEGNO].ts'
      master2500_34202.ts, master1500_34202.ts

    positional arguments:
      PLAYLIST         Path to HLS playlist file. Can be a URI or local file.

    optional arguments:
      -h, --help       show this help message and exit
      --multi          Generate multi period MPEG DASH on EXT-X-CUE markers in HLS
      --ctx CTX        Name of DASH session file
      --ctxdir CTXDIR  Where to store DASH session file. Defaults to /tmp/
      --debug          Write debug info to stderr

ts-to-fmp4
----------

::

    usage: ts-to-fmp4 [-h] [--outdir OUTDIR] [--debug] TSFILE OUTPUT

    Rewrap a MPEG2 TS segment to a fragmented MP4

    positional arguments:
      TSFILE           Path to TS file. Can be a URI or local file.
      OUTPUT           Output file name

    optional arguments:
      -h, --help       show this help message and exit
      --outdir OUTDIR  Directory where the fragmented MP4 will be stored. Default is current directory
      --debug          Write debug info to stderr