semvec/pypi-packages huggingface dataset:
ttrss 1.1.5
A tool for synchronizing feeds from a Tiny Tiny RSS server.
License: MIT
Requires Python: >=3
Keywords: ttrss,feed,rss,atom,synchronize

.. image:: https://img.shields.io/travis/eikendev/ttrss/master
   :alt: Build status
   :target: https://travis-ci.org/github/eikendev/ttrss/builds/

.. image:: https://img.shields.io/pypi/status/ttrss
   :alt: Development status
   :target: https://pypi.org/project/ttrss/

.. image:: https://img.shields.io/pypi/l/ttrss
   :alt: License
   :target: https://pypi.org/project/ttrss/

.. image:: https://img.shields.io/pypi/pyversions/ttrss
   :alt: Python version
   :target: https://pypi.org/project/ttrss/

.. image:: https://img.shields.io/pypi/v/ttrss
   :alt: Version
   :target: https://pypi.org/project/ttrss/

.. image:: https://img.shields.io/pypi/dm/ttrss
   :alt: Downloads
   :target: https://pypi.org/project/ttrss/

Usage
=====

This tool can be used to synchronize feeds from a `Tiny Tiny RSS <https://tt-rss.org/>`_ server.
If you're a bit like me and prefer reading your feeds through the browser, you'll sure have been in the situation of not being able to access your feeds due to the lack of an internet connection.
``ttrss`` will help you to read articles offline in a very simple manner.

For a quick introduction, let me show how you would use the tool to get started.
::

    $ ttrss synchronize -d ~/news/ --url https://ttrss.example.com/ --username example --keyring-service ttrss.example.com

As can be seen above, you have to specify a directory where all unread articles will be saved in.
Additionally, server information and login credentials must be provided.
For now, the only way of specifying a password is by using the ``keyring`` command line tool, which is passed the ``--username`` and the ``--keyring-service``.

Installation
============

From PyPI
---------
::

   pip install ttrss

From Source
-----------
::

   ./setup.py install

Configuration
=============

A configuration file can be saved to ``~/.config/ttrss/config.ini`` to avoid specifying the path and other information for each invocation.
Of course, ``$XDG_CONFIG_HOME`` can be set to change your configuration path.
Alternatively, the path to the configuration file can be set via the ``--config-file`` argument.
::

    [GENERAL]
    RootDir = ~/news/
    Url = https://ttrss.example.com/
    Username = example
    KeyringService = ttrss.example.com

Development
===========

The source code is located on `GitHub <https://github.com/eikendev/ttrss>`_.
To check out the repository, the following command can be used.
::

   git clone https://github.com/eikendev/ttrss.git
mloyalty 0.2.4
Python API for Mloyalty
License: MIT
Keywords: python mloyalty api wrapper

# Python API for Mloyalty

## Установка

Рекомендуемый способ установки с помощью менеджера пакетов Python pip*:

```
$ pip install mloyalty
```

*API содержит только часть методов, он все еще находится в стадии разработки и регулярно обновляется, не забывайте обновлять его, `pip install mloyalty --upgrade`
aioimport 0.1.5
Asynchronous module import for asyncio
License: MIT
Requires Python: >=3.8,<4.0
Keywords: asyncio,import

# aioimport
Asynchronous module import for asyncio

## Getting Started

### Installing

Install from [PyPI](https://pypi.org/project/aioimport/) using:

```
pip install aioimport
```

### The problem

Some naughty modules have long running operations during import

#### Naive solution

First thing that comes to mind is make import local:

```python
async def my_work() -> None:
    import naughty  # will block event loop
```

It reduces time your program takes to start (or library to import),
but it is still blocking your event loop.

### Usage

```python
import aioimport

async def my_work() -> None:
    await aioimport.import_module("naughty")  # will asynchronously import module
    import naughty  # will be instantaneous since `naughty` is already in `sys.modules`
    await aioimport.reload(naughty)  # and you can asynchronously reload modules too
```

### How it works

Module import is done in asyncio default executor.

Be aware of the fact that GIL still exists and technically import is done concurrently rather than in parallel with your code.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
yurlungur 0.9.7
universal scripting environment with Python which Maya, Houdini and UnrealEngine.
License: MIT
Keywords: maya,3d,graphics,Game,VFX,CG,houdini,unreal


DCC tool scripting is almost used Python, but these api isn't similarly anything.
If you make lightweight tool, need to remember each application manners.
Yurlungur is common interface which adapted each application for universal wrapper.
bilibili-live-recorder 0.7.1
This is a script to record bilibili lives, coding with asyncio
License: MIT
Keywords: bilibili live

# bilibili-live-recoder

## Table of Contents

- [About](#about)
- [Installing](#installing)
- [Usage](#usage)

## About
这是一个使用`asyncio`实现的`bilibili`直播录制工具.


它会监测房间状态, 在直播开始后自动录制.

它也可以同时录制多个直播(默认最高画质, 请注意带宽是否够用).

它会监测配置文件的改动, 可以在任意时间修改配置文件.


## Installing

请保证`Python`版本不低于3.7

```
pip install bilibili-live-recorder
```

## Usage

```
�� blr --help
usage: blr [-h] [-c] [-d]

a bilibili live recorder ●REC...

optional arguments:
  -h, --help      show this help message and exit
  -c , --config   location of your live list, default is '$HOME/.config/livelist.toml'
  -d , --dir      directory to save your reording file, default is '$HOME/Videos/bilibili'

```
配置文件使用`toml`格式, 样子如下:
```

[[users]]
# 这里url既可以是主播的个人空间, 也可以是房间
url = "https://space.bilibili.com/2233"

[[users]]
url = "https://live.bilibili.com/6"

```
默认位置位于`$USER/.config/livelist.toml`, 默认录制的视频位于`$USER/Videos/bilibili`


## License
MIT