semvec/pypi-packages huggingface dataset:
robotframework-appiumlibrary-windows 0.1.1
Robot Framework AppiumLibrary extension for Windows desktop automation. Use NovaWindows Driver instead of WinAppDriver
License: MIT
Requires Python: >=3.10

# Robot Framework AppiumLibrary compatible with NovaWindows Driver

===================


> **Note**
>
> This library is implement to compatible with NovaWindows Driver.
> Install NovaWindows Driver to Appium 2 distribution with the command:
> `appium driver install --source=npm appium-novawindows-driver`.
> 
> Refer to: https://github.com/AutomateThePlanet/appium-novawindows-driver
> 
> NovaWindows Driver is currently uses a PowerShell session as a back-end, and
> should not require Developer Mode to be on, or any other software.
> There's a plan to update to a better, .NET-based backend for improved
> reliability and better code and error management, as well as supporting
> more features, that are currently not possible using PowerShell alone.
> It is unlikely for the prerequisites to change, as this is one of the
> main goals of NovaWindows driver – seamless setup on any PC.

## Install

1. Download and install Nodejs: https://nodejs.org/en/download
2. Install appium: `npm install -g appium`
3. Install NovaWindows Driver: `appium driver install --source=npm appium-novawindows-driver`

## Usage
Start appium with command: `appium` (or `appium --relaxed-security` if you want to allow interaction with powershell)


## Example

```
# Robot Framework

*** Settings ***
Library    AppiumLibrary

Test Setup    Open Root Session
Test Teardown    Appium Close All Applications

*** Test Cases ***
Type To Notepad
    Appium Execute Powershell Command    Start-Process "notepad"
    Appium Input    class\=Notepad    This is example{enter 3}Close without save
    Appium Click    //Window[@ClassName\='Notepad']//Button[@Name\='Close']
    Appium Click    name\=Don't Save

*** Keywords ***
Open Root Session
    ${parameters}    Create Dictionary
    ...    remote_url=http://127.0.0.1:4723
    ...    platformName=Windows
    ...    appium:app=Root
    ...    appium:automationName=NovaWindows
    ...    appium:newCommandTimeout=30
    Open Application    &{parameters}

```
myair-py 0.1.2
API Client to interact with ResMed MyAir CPAP data
License: MIT
Requires Python: <4.0,>=3.12

# resmed-py
Python client for interacting with ResMed MyAir API

This is a "soft" fork of the embedded client in a [repo by](https://github.com/prestomation/resmed_myair_sensors/) @Prestomation. 

## Known Issues

This integration was reversed engineered from the myAir website. There are no guarentees that this will continue to work, as this is up to the whims of ResMed. Please DO NOT rely on this for any health-related matters.

This integration currently only connects to the Americas and Europe. If you are in Asia, please open an issue and offer yourself as a test subject.

_This integration does not work if you selected France as your country during myAir registration!_
In France, ResMed enforces two-factor email-based authentication which is not yet supported by the integration.

You may workaround this issue by:
1. Unregistering your device from your French myAir account
1. Register a new account in a European country that is not France
1. Register your device with your new account
1. Wait until your first night(and the myAir website shows your data) before creating a configuration for this integration
gotaglio 0.2.2
Framework for creating and running experiment pipelines
License: MIT
Requires Python: >=3.12
Keywords: pipeline, experiments, llm, framework

# GoTaglio

`GoTaglio` is a lightweight python toolbox for creating ML pipelines for model evaluation and case labeling. Its goal is to accelerate the Applied Science inner-loop by allowing principled experimentation to start informally on an engineer's machine in minutes, while producing learnings and artifacts that scale through production.

`GoTaglio` is designed to be very low friction. It is kind of like a thumb drive, loaded with power tools, that will work in any Python environment.
* It does not require significant cloud infrastructure deployment. All that is needed are model endpoints and credentials to access them.
* It can be used in cloud environments like [AzureML](https://azure.microsoft.com/en-us/products/machine-learning) or with frameworks like [mlflow](https://mlflow.org/).
* Pipeline code can be incorporated into production systems.

`GoTaglio` includes the following key elements:
* Ability to rapidly define and run end-to-end ML pipelines.
* Automatic logging and organization of information about runs.
* The ability to rerun an earlier experiment with small changes introduced on the command-line.
* Structured logging to facilitate run analysis, comparing runs and tracking key metrics over time as the pipeline evolves.
* A python library that can be accessed from [Jupyter notebooks](https://jupyter.org/).
* A command-line tool to simplify common operations.
* [COMING SOON] A web-based tool for oragnizing and labeling cases.

## Try GoTaglio

GoTaglio comes with [several samples](documentation/samples.md) that run out-of-the-box with included LLM mocks or your LLM endpoints.

## Learn GoTaglio

Get an overview of key [GoTaglio concepts](documentation/concepts.md) such as
* configuration merging
* models
* pipelines
* structured logging

## Use GoTaglio

Learn how to [incorporate GoTaglio into your process](documentation/usage.md) as
* a command-line tool
* a [Jupyter notebook](https://jupyter.org/) enhancement
* a python library
banglish 0.1.5
Convert Bangla names into English transliteration
License: MIT
Requires Python: >=3.7
Keywords: banglish, translator, bangla_to_english, bangla, bengali, transliteration, names, english

# banglish

Convert Bangla (Bangla) names into English transliteration.

## Installation
```bash
pip install banglish
```

## Usage
```python
from banglish import to_english

print(to_english("মোহাম্মদ"))  # Mohammad
print(to_english("শাহীন"))    # Shaheen
```

## Author
Coded by Md Josif Khan