semvec/pypi-packages huggingface dataset:
chai-cli 0.3.0
AI in your CLI.
Keywords: ai, openai, cli

# Chai - AI in your CLI.

## Introduction

Chai is a command-line interface (CLI) tool designed to simplify your experience with bash commands. Have you ever found yourself stuck, not knowing the right bash command to use? With Chai, you can simply run `chai [your query in English]`, and it will respond with the appropriate bash command to help you out. 

## Problem Statement

The command-line interface can be intimidating, especially for beginners. Remembering the syntax of various bash commands and knowing which command to use in a specific situation can be challenging. Searching through documentation or forums for the right command can be time-consuming and frustrating. Chai aims to solve this problem by providing an intuitive interface where you can ask for help in plain English and get the correct bash command instantly.

## Features

- **Natural Language Interface**: Communicate with Chai in plain English, just like asking a question.
- **Instant Responses**: Receive the correct bash command immediately after asking your query.
- **Saves Time**: Eliminates the need to search through documentation or forums for the right command.
- **Easy to Use**: Intuitive and straightforward interface, suitable for both beginners and experienced users.

## Usage

To use Chai, simply run the following command in your terminal:

```
chai [your query in English]
```

Chai will process your query and respond with the appropriate bash command.

## Installation

You can install Chai via pip:

```
pip install chai-cli
```

### Clipboard

Every output is copied to your clipboard. To ensure that it works, run the following command to install required tools on Linux.

```
sudo apt-get install xclip xsel wl-clipboard
```

## Examples

Here are some examples of queries you can ask Chai:

- "list all files starting with a"
- "grep emails.txt for yahoo addresses"
- "list users who are logged in"

Chai will provide you with the corresponding bash commands for each query.

## Contributing

Contributions to Chai are welcome! If you have any suggestions, bug reports, or feature requests, please feel free to open an issue or submit a pull request on the [GitHub repository](https://github.com/ritiksahni/chai).

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
AttosecondRayTracing-core 0.92
Attosecond Ray Tracing core calculation package
Requires Python: >=3.8

This package contains the core code required for the ART - AttosecondRaytracing code. It contains the definitions of basic optical elements as well as the actual ray-tracing code. If you want to develop your own visualisation/GUI for ART, this is the package to install.
In normal use case, it's installed as a dependency of [AttosecondRayTracing](https://pypi.org/project/AttosecondRayTracing/) which is the user facing code.

[ART - Attosecond Ray Tracing](https://github.com/mightymightys/AttosecondRaytracing) - is a free python code written by Stefan Haessler, André Kalouguine, and Anthony Guillaume of
[Laboratoire d'Optique Appliquée (LOA), CNRS, Institut Polytechnique de Paris, France](https://loa.ensta-paris.fr/research/pco-research-group/)
and Charles Bourassin-Bouchet [Laboratoire Charles Fabry (LCF)), Institut d’Optique, CNRS, Université Paris-Saclay, France](https://www.lcf.institutoptique.fr/en/groups/optique-xuv).

It does ray tracing calculations with a specific focus on ultrashort (femto- and attosecond) laser pulses.
Therefore the code currently focuses on reflective optics, freely arrangeable including grazing incidence configurations.

Ten years ago, Charles made geometric optics calculations that demonstrated how sensitive attosecond pulses
are to spatio-temporal distortions and how easily such distortions are picked up in the reflective
grazing-incidence optical setups required to transport and refocus them
[[C. Bourassin-Bouchet et al. “How to focus an attosecond pulse”. Opt.
Express 21, 2506 (2013)](http://dx.doi.org/10.1364/oe.21.002506); [C. Bourassin-Bouchet et al. “Spatiotemporal distortions of
attosecond pulses”. JOSA A 27, 1395 (2010)](https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-27-6-1395)].
ART now makes these calculations avaible to the ultrafast optics community in a free and (hopefully) easily accessible python code.

A publication of simulations of the beam transport and focusing of high-numerical-aperture XUV attosecond pulses
is in preparation and will become the reference that we ask you to cite if you have used this code in your work.

The detailed documentaion can be found [here](https://mightymightys.github.io/AttosecondRaytracing/).
AttosecondRayTracing 0.92
Attosecond Ray Tracing visualisation package
Requires Python: >=3.8

This package contains the user facing code for the ART - AttosecondRaytracing code.

[ART - Attosecond Ray Tracing](https://github.com/mightymightys/AttosecondRaytracing) - is a free python code written by Stefan Haessler, André Kalouguine, and Anthony Guillaume of
[Laboratoire d'Optique Appliquée (LOA), CNRS, Institut Polytechnique de Paris, France](https://loa.ensta-paris.fr/research/pco-research-group/)
and Charles Bourassin-Bouchet [Laboratoire Charles Fabry (LCF)), Institut d’Optique, CNRS, Université Paris-Saclay, France](https://www.lcf.institutoptique.fr/en/groups/optique-xuv).

It does ray tracing calculations with a specific focus on ultrashort (femto- and attosecond) laser pulses.
Therefore the code currently focuses on reflective optics, freely arrangeable including grazing incidence configurations.

Ten years ago, Charles made geometric optics calculations that demonstrated how sensitive attosecond pulses
are to spatio-temporal distortions and how easily such distortions are picked up in the reflective
grazing-incidence optical setups required to transport and refocus them
[[C. Bourassin-Bouchet et al. “How to focus an attosecond pulse”. Opt.
Express 21, 2506 (2013)](http://dx.doi.org/10.1364/oe.21.002506); [C. Bourassin-Bouchet et al. “Spatiotemporal distortions of
attosecond pulses”. JOSA A 27, 1395 (2010)](https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-27-6-1395)].
ART now makes these calculations avaible to the ultrafast optics community in a free and (hopefully) easily accessible python code.

A publication of simulations of the beam transport and focusing of high-numerical-aperture XUV attosecond pulses
is in preparation and will become the reference that we ask you to cite if you have used this code in your work.

The detailed documentaion can be found [here](https://mightymightys.github.io/AttosecondRaytracing/).