semvec/pypi-packages huggingface dataset:
rlenv 1.1.dev2
Accenta.AI Gym Environement
Keywords: rlenv

=======================
Accenta Gym Environment
=======================

Copyright (c) 2019-2022 Accenta (www.accenta.ai)

* Web site: https://gitlab.com/ens-data-challenge/accenta-gym-environment
* Online documentation: https://ens-data-challenge.gitlab.io/accenta-gym-environment
* Examples: https://ens-data-challenge.gitlab.io/accenta-gym-environment/gallery/

* Source code: https://gitlab.com/ens-data-challenge/accenta-gym-environment
* Issue tracker: https://gitlab.com/ens-data-challenge/accenta-gym-environment/issues


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

Accenta Gym Environment

Note:

    This project is still in beta stage, so the API is not finalized yet.


Dependencies
============

C.f. requirements.txt

.. _install:

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

Posix (Linux, MacOSX, WSL, ...)
-------------------------------

From the EnergyPlus Python source code::

    conda deactivate         # Only if you use Anaconda...
    python3 -m venv env
    source env/bin/activate
    python3 -m pip install --upgrade pip
    python3 -m pip install -r requirements.txt
    python3 setup.py develop


Windows
-------

From the EnergyPlus Python source code::

    conda deactivate         # Only if you use Anaconda...
    python3 -m venv env
    env\Scripts\activate.bat
    python3 -m pip install --upgrade pip
    python3 -m pip install -r requirements.txt
    python3 setup.py develop


Build and run the Accenta Gym Environment Docker image
======================================================

Build the docker image
----------------------

From the EnergyPlus Python source code::

    docker build -t registry.gitlab.com/ens-data-challenge/accenta-gym-environment .

Run unit tests from the docker container
----------------------------------------

From the EnergyPlus Python source code::

    docker run registry.gitlab.com/ens-data-challenge/accenta-gym-environment pytest

Run an example from the docker container
----------------------------------------

From the EnergyPlus Python source code::

    docker run registry.gitlab.com/ens-data-challenge/accenta-gym-environment python3 /rlenv/examples/plot_wall_env.py

Push the docker image on the container registry
-----------------------------------------------

From the EnergyPlus Python source code::

    docker push registry.gitlab.com/ens-data-challenge/accenta-gym-environment


Documentation
=============

* Online documentation: https://ens-data-challenge.gitlab.io/accenta-gym-environment
* API documentation: https://ens-data-challenge.gitlab.io/accenta-gym-environment/api.html


Example usage
=============

C.f. https://ens-data-challenge.gitlab.io/accenta-gym-environment/gallery/


Bug reports
===========

To search for bugs or report them, please use the Accenta's Gym Environments Bug Tracker at:

    https://gitlab.com/accenta_group/ai-gym/issues
pphw-utils 1.0.0
Utilities for records pipeline processing

Package for taking an array of records (utf-8 strings) and splitting it to batches of records, for a delivery system with following limits:
 - max size of a record is 1MB (otherwise discarded)
 - max size of a batch is 5MB (otherwise an additional batch created)
 - max number of records in a batch is 500 (otherwise an additional batch created)

Input is in format: [rec1, rec2, rec3, ..., recN]
Output is ini format: [batch1, batch2, batch3, ..., batchN] where each batch is array of records like input.

To run unittests:  
`python -m unittest -v test/test_records.py`
discord-linker-pythonAPI 0.2.9
This is the python API for a wordpress plugin that allows linking discord into your website
Requires Python: >=3.7

# Description
This package allows python to communicate with a wordpress plugin "discord-linker" that allows you to link discord with wordpress.

This api is used to create discord bots that can communicate with the website and perform actions on behalf of the discord users.

# Requirements
* requests => ```pip install requests```

# Installation
```
pip install discord-linker-pythonAPI
```

# Usage
```
from discord_linker_pythonAPI.wordpress_client import WP_Client

wpclient = WP_Client("<URL>", "<Username>", "<Application Password>")
```


# Links
* **Documentation**: https://vbrawl.github.io/discord-linker-pythonAPI/
* **PyPi**: https://pypi.org/project/discord-linker-pythonAPI/
sitt 0.0.3.dev0
Si.T.T. (Simulation of Traffic and Transport) is an agent-based simulation for pre-industrial trade routes.
Requires Python: >=3.10
Keywords: ancient,history,simulation,trade,university

# Si.T.T. (Simulation of Traffic and Transport)

Si.T.T. is a program suite to simulate the traffic and transport of pre-industrial societies. It uses an agent-based
approach to model the simulation. An agent can be thought of as a batch of cargo transported through the network
(rather than an individual person travelling it).

[![PyPI - Version](https://img.shields.io/pypi/v/sitt.svg)](https://pypi.org/project/sitt)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/sitt.svg)](https://pypi.org/project/sitt)

*Note:* This project is WIP at the moment and in pre-alpha status. Please come back later to test the full capabilities.

Main repository: https://codeberg.org/SiTT/SiTT  
Public mirror: https://github.com/Simulation-of-Traffic-and-Transport/SiTT

-----

**Table of Contents**

- [Installation](#installation)
- [Documentation](#documentation)
- [Examples](#examples)
- [License](#license)

## Installation

You need Python 3.10 or later to run Si.T.T.

```console
pip install sitt
```

After installation, you can run Si.T.T. using it as a module:

```console
python -m sitt
```

This will activate the command line interface and print a help message. For other ways to run Si.T.T., check out the
examples below.

## Dependencies

Installing Si.T.T. as package should install all dependent packages, too. You might want to install them by hand and/or
install the extra dependencies for certain use cases:

```console
pip install -r requirements.txt
pip install -r requirements_extras.txt
```

The extras file contains optional python modules such as pytest or the binary Postgres package.

## Testing

You can run unit tests using pytest:

```console
pip install pytest
cd tests
pytests -v .
```

## Documentation

You can read some documentation on the following pages:

* [Si.T.T.'S General Concept](readmes/concept.md) (with figures)

## Examples

Can be found in the [examples directory](examples/README.md).

## License

`sitt` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
accessible-output3 0.1.2
Library to provide speech and braille output to a variety of different screen readers and other accessibility solutions.

Accessible Output 3: Make your app speak
==================================================

Accessible Output 3 is a fork of Accessible Output 2, with fixed mac support

Accessible Output 3 is an MIT licensed library for speaking and brailling through multiple screen readers and other accessibility systems.

Accessible Output 3 makes selection of the appropriate speech and Braille output a snap, and also allows the programmer to select and use a specific output, for instance to force speaking through the Microsoft Speech API even if the user has a screen reader loaded.

.. code-block:: python

    >>> import accessible_output3.outputs.auto
    >>> o = accessible_output3.outputs.auto.Auto()
    >>> o.output("Some text") #attempts to both speak and braille the given text through the first available output
    >>> o.speak("Some other text", interrupt=True) #Speak some text through the output, without brailling it, and interrupt the currently-speaking text if any

Accessible Output 2 makes it simple to add spoken and brailled notifications to your applications on multiple platforms, facilitating accessibility for the visually impaired and also providing a nice alternative means of providing notifications to a sighted user.

Supported Outputs:
------------------
Speech:

- JAWS for Windows
- NVDA
- Window Eyes
- System Access
- Supernova and other Dolphin products
- PC Talker
- ZDSR
- Microsoft Speech API


Braille:

- JAWS for Windows
- NVDA
- Window Eyes
- System Access
- Supernova and other Dolphin products
xy-pphw-utils 1.0.0
Utilities for records pipeline processing

Package for taking an array of records (utf-8 strings) and splitting it to batches of records, for a delivery system with following limits:
 - max size of a record is 1MB (otherwise discarded)
 - max size of a batch is 5MB (otherwise an additional batch created)
 - max number of records in a batch is 500 (otherwise an additional batch created)

Input is in format: [rec1, rec2, rec3, ..., recN]
Output is ini format: [batch1, batch2, batch3, ..., batchN] where each batch is array of records like input.

To run unittests:  
`python -m unittest -v test/test_records.py`
cigit 0.0.3
CI/CD Python Scripting
Requires Python: >=3.10

# Welcome to **Ci-Git**

**Scripting** build(s) for **C**ontinuous **I**ntegration and **C**ontinuous **D**elivery (**CI/CD**)

## **Installation**

```sh
python -m pip install cigit
```

## **Credentials**

```yaml
# Git Config
url: https://github.com/hlop3z/cigit.git
path: ./demo

# Auth Config
username: hlop3z
password: (P)ersonal-(A)ccess-(T)oken
```

## **Pipeline**

```yaml
# Define Stages
stages:
  - build
  - test
  - deploy

# Define { build } stage jobs
build:
  stage: build
  script:
    - echo "Build"

# Define { test } stage jobs
unit_tests:
  stage: test
  script:
    - echo "Unit-Tests"

integration_tests:
  stage: test
  script:
    - echo "Integration-Tests"

# Define { deploy } stage jobs
deploy_to_staging:
  stage: deploy
  script:
    - echo "Deploy-To-Staging"

deploy_to_production:
  stage: deploy
  script:
    - echo "Deploy-To-Production"
```

## **File** "**`ci-bot.py`**"

```python
import cigit

cigit.cli()
```

---

## **Commands**

---

| Command     | Description                                          |
| ----------- | ---------------------------------------------------- |
| **`run`**   | **Run** the pipeline                                 |
| **`pull`**  | **Git Pull** a remote repository & run the pipeline  |
| **`clone`** | **Git Clone** a remote repository & run the pipeline |

---

## **Cheatsheet**

---

### **Clone**

```sh
python ci-bot.py clone
```

### **Pull**

```sh
python ci-bot.py pull
```

### **Run**

```sh
python ci-bot.py run
```
conjurer 0.0.24
Python library to help you to perform magic on your data analytics project
Requires Python: >=3.6

# conjurer

Python library to help you to perform magic on your data analytics project; which helps
- EDA (load & check data)
- Automatic machine learning tuning

## Why do I need this?




## Reference

For installation / user guide please refer https://github.com/not-so-fat/conjurer/wiki