semvec/pypi-packages huggingface dataset:
llwp 2.0.36
LLWP is a fast, efficient and easy solution for exploring and assigning spectra - relying on Loomis-Wood plots.
Requires Python: >=3.7
Keywords: LLWP, Loomis-Wood Plots, Spectroscopy

# LLWP - Luis' Loomis-Wood Program

LLWP allows you to efficiently and confidently assign (typically rotational or rovibrational) spectra by relying on Loomis-Wood plots.

A quickstart guide is given down below. For more information see LLWP's [website](https://llwp.astro.uni-koeln.de).

If you want to acknowledge LLWP, please cite the paper [LLWP - A new Loomis-Wood software at the example of Acetone-13C1](https://doi.org/10.1016/j.jms.2022.111674).

Feel free to contact me in case of any problems or for feature requests.

## Quickstart Guide

The preferred way to install LLWP is via Python's package manager pip.
Run the following command in a terminal to install LLWP:

```bash
pip install llwp
```

After installing LLWP via pip you can run it from any terminal by simply running

```bash
llwp
```

To see and assign your first series

1. open your spectrum and prediction files via drag and drop or *Files > Add Files*
2. specify the correct reference series in the *Reference Series* window
3. choose the fitfunction under *Fit > Choose Fit Function*
4. select the area around the experimental peak with the mouse to fit the data

### ASAP Mode

To start the [ASAP](https://doi.org/10.1016/j.jms.2015.02.014) mode of LLWP run

```bash
asap
```

To see and assign your first cross-correlation peaks

1. open your spectrum, \*.egy, and \*.cat file via drag and drop or *Files > Add Files*
2. specify the correct energy levels in the *ASAP Settings* window
3. specify the correct unit conversion factor for the \*.cat file in the *Units Cat File* field (e.g. 3.335641e-05 for \*.cat file in MHz and \*.egy file in wavenumbers)
3. press *Calculate Cross Correlation*
3. choose the fitfunction under *Fit > Choose Fit Function*
4. select the area around the experimental peak with the mouse to fit the data
mthds 0.0.2
The Python interface for methods — base structures for structured outputs and the base runner for executing methods via API.
Requires Python: <3.15,>=3.10

# mthds

The Python interface for methods — base structures for structured outputs and the base runner for executing methods via API.

Learn more at [mthds.ai](https://mthds.ai) and browse the Hub at [mthds.sh](https://mthds.sh).

## Runners

This package provides the base structures that define methods and their structured outputs, as well as the base runner that executes methods through API calls. Other runners have been implemented on top of it:

- [Pipelex](https://github.com/Pipelex/pipelex) — a full-featured runner

## Related packages

- [`mthds`](https://www.npmjs.com/package/mthds) (npm) — **CLI to install methods** + light client

## Installation

```bash
pip install mthds
```
deeploy 1.58.0
The official Deeploy client for Python
Requires Python: <3.13,>=3.10

## Deeploy Python Client API Reference

Python client for interacting with Deeploy: Deploying ML with confidence.

**Python Version Support:** This package supports Python 3.10, 3.11, and 3.12.

Read the [documentation](https://docs.deeploy.ml) or visit the [Deeploy website](https://deeploy.ml) to learn more about Deeploy.
astro-hipster 0.1.1
Generate HiPS representation
Requires Python: <4.0,>=3.10

[![Build Status](https://github.com/HITS-AIN/hipster/actions/workflows/python-package.yml/badge.svg?branch=main)](https://github.com/HITS-AIN/hipster/actions/workflows/python-package.yml?branch=main)
[![Documentation Status](https://readthedocs.org/projects/spherinator/badge/?version=latest)](https://spherinator.readthedocs.io/en/latest/?badge=latest)
![versions](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue)

# HiPSter

[Spherinator](https://github.com/HITS-AIN/Spherinator) and
[HiPSter](https://github.com/HITS-AIN/HiPSter) are tools that provide explorative access
and visualization for multimodal data from extremely large astrophysical datasets, ranging from
exascale cosmological simulations to multi-billion object observational galaxy surveys.

HiPSter uses a trained model from Spherinator with a spherical latent space to create HiPS tilings
and a catalog that can be visualized interactively on the surface of a sphere using
[Aladin Lite](https://github.com/cds-astro/aladin-lite).


<p align="center">
  <img src="images/P404_f2.png" width="400" height="400">
</p>


## Installation

```bash
pip install astro-hipster
```

## Usage

The `HiPSter` package provides a CLI to create HiPS tilings and a catalog from the spherical latent
space representation.

```bash
hipster --config <path_to_config_file>
```

For more details run `hipster --help` or check the [documentation](https://spherinator.readthedocs.io/en/latest/hipster.html#command-line-interface).


## Documentation

The `HiPSter` documentation is part of the Spherinator documentation and can be found at:

[Read The Docs](https://spherinator.readthedocs.io/en/latest/hipster.html)


## Acknowledgments

Funded by the European Union. This work has received funding from the European High-Performance Computing Joint Undertaking (JU) and Belgium, Czech Republic, France, Germany, Greece, Italy, Norway, and Spain under grant agreement No 101093441.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European High Performance Computing Joint Undertaking (JU) and Belgium, Czech Republic, France, Germany, Greece, Italy, Norway, and Spain. Neither the European Union nor the granting authority can be held responsible for them.


## License

This project is licensed under the [Apache-2.0 License](http://www.apache.org/licenses/LICENSE-2.0).


## Citation

If you use HiPSter in your research, we provide a [citation](./CITATION.cff) to use:

```bibtex
@article{Polsterer_Spherinator_and_HiPSter_2024,
author = {Polsterer, Kai Lars and Doser, Bernd and Fehlner, Andreas and Trujillo-Gomez, Sebastian},
title = {{Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations}},
url = {https://arxiv.org/abs/2406.03810},
doi = {10.48550/arXiv.2406.03810},
year = {2024}
}
```
codebuddy-agent-sdk 0.3.57
CodeBuddy Code SDK for Python
Requires Python: >=3.10
Keywords: agent, ai, codebuddy, sdk

# CodeBuddy Agent SDK for Python

SDK for building AI agents with CodeBuddy Code's capabilities. Programmatically interact with AI to build autonomous agents that can understand codebases, edit files, and execute workflows.

## Installation

```bash
# Using uv (recommended)
uv add codebuddy-agent-sdk

# Using pip
pip install codebuddy-agent-sdk
```

## Quick Start

```python
import asyncio
from codebuddy_agent_sdk import query

async def main():
    async for message in query(
        prompt="What files are in this directory?",
        permission_mode="bypassPermissions",
    ):
        if message.type == "assistant":
            for block in message.content:
                if hasattr(block, "text"):
                    print(block.text)

asyncio.run(main())
```

## API Reference

### `query(prompt, **options)`

Create a query to interact with the agent.

```python
async for message in query(
    prompt="Your prompt here",
    model="sonnet",                    # Model to use
    permission_mode="bypassPermissions",  # Permission mode
    max_turns=10,                      # Maximum conversation turns
    cwd="/path/to/project",            # Working directory
):
    # Handle message
    pass
```

### Message Types

- `system` - Session initialization info
- `assistant` - Agent responses (text, tool calls)
- `result` - Query completion status

## Related Links

- [CodeBuddy Code CLI](https://www.npmjs.com/package/@tencent-ai/codebuddy-code)
- [Documentation](https://cnb.cool/codebuddy/codebuddy-code/-/blob/main/docs)
- [Issues](https://cnb.cool/codebuddy/codebuddy-code/-/issues)

## Feedback

- Submit issues at [Issues](https://cnb.cool/codebuddy/codebuddy-code/-/issues)
- Contact: codebuddy@tencent.com