semvec/pypi-packages huggingface dataset:
APLpy 2.2.0
The Astronomical Plotting Library in Python
License: MIT
Requires Python: >=3.10

|Azure| |CircleCI| |codecov| |Documentation Status|

About
-----

APLpy (the Astronomical Plotting Library in Python) is a Python module
aimed at producing publication-quality plots of astronomical imaging
data in FITS format.

PyPI: https://pypi.python.org/pypi/APLpy

Website: http://aplpy.github.io

Documentation: http://aplpy.readthedocs.io

APLpy is released under an MIT open-source license.

Installing
----------

You can install APLpy and all its dependencies with::

    pip install aplpy

.. |Azure| image:: https://dev.azure.com/thomasrobitaille/aplpy/_apis/build/status/aplpy.aplpy?repoName=aplpy%2Faplpy&branchName=refs%2Fpull%2F441%2Fmerge
   :target: https://dev.azure.com/thomasrobitaille/aplpy/_build/latest?definitionId=16&repoName=aplpy%2Faplpy&branchName=refs%2Fpull%2F441%2Fmerge
.. |CircleCI| image:: https://circleci.com/gh/aplpy/aplpy/tree/main.svg?style=svg
   :target: https://circleci.com/gh/aplpy/aplpy/tree/main
.. |codecov| image:: https://codecov.io/gh/aplpy/aplpy/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/aplpy/aplpy
.. |Documentation Status| image:: https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat
   :target: https://aplpy.readthedocs.io/en/latest/
aibeehive 0.1.0
A lightweight, stateless llm orchestration framework.
License: MIT
Requires Python: >=3.10

# AI Bee Hive

A general-purpose framework for orchestrating LLM workflows (forked from OpenAI's Swarm).

## Install

Requires Python 3.10+

```shell
pip install aibeehive
```

or

```shell
pip install aibeehive
```

## Usage

```python
from aibeehive import Swarm, Bee

swarm = Swarm()

def ask_queen_bee():
    return queen_bee

worker_bee = Bee(
    name="Worker Bee",
    instructions="You are a helpful worker bee.",
    functions=[transfer_to_queen_bee],
)

queen_bee = Bee(
    name="Queen Bee",
    instructions="Guide your worker bees to be helpful.",
)

response = swarm.run(
    bee=worker_bee,
    messages=[{"role": "user", "content": "Create a motivational haiku to inspire the worker bees."}],
)

print(response.messages[-1]["content"])
```

```
Hope glimmers brightly,
New paths converge gracefully,
What can I assist?
```

## Table of Contents

- [Overview](#overview)
- [Examples](#examples)
- [Documentation](#documentation)
  - [Running Swarm](#running-swarm)
  - [Bees](#bees)
  - [Functions](#functions)
  - [Streaming](#streaming)
- [Evaluations](#evaluations)
- [Utils](#utils)

# Big Thanks to OpenAI Core Contributors

- Ilan Bigio - [ibigio](https://github.com/ibigio)
- James Hills - [jhills20](https://github.com/jhills20)
- Shyamal Anadkat - [shyamal-anadkat](https://github.com/shyamal-anadkat)
- Charu Jaiswal - [charuj](https://github.com/charuj)
- Colin Jarvis - [colin-openai](https://github.com/colin-openai)
- Katia Gil Guzman - [katia-openai](https://github.com/katia-openai)

## Acknowledgments

This project includes code from [OpenAI Swarm](https://github.com/openai/swarm).
tabular2xls 0.4.6
Convert a file with a LaTeX tabular to Excel
License: MIT

==========
tabularxls
==========


Convert a LaTeX tabular file to an xls file


Description
===========

With this tool you can convert LaTeX tabular files to Excel

------------
Installation
------------

Install the tool by::

    pip install tabular2xls

In case you want to include CBS color definitions, install with::

    pip install tabular2xls[cbs]

or, alternatively, install the cbsplotlib package yourself::

    pip install cbsplotlib

-----
Usage
-----

Run the following command::

    tabular2xls tabular_file.tex

where the .tex file is a file containing a LaTeX tabular which is converted to an Excel file

---------
Full Help
---------

Get the full help by running::

    tabular2xls.exe --help

which  gives the following output::

    usage: tabular2xls [-h] [--version] [--output_filename OUTPUT_FILENAME] [--output_directory OUTPUT_DIRECTORY]
                       [--search_and_replace [SEARCH_AND_REPLACE ...]] [-v] [-vv] [--multi_index] [--encoding ENCODING]
                       FILENAME

    Tool to convert latex tabulars into xls files

    positional arguments:
      FILENAME              Tabular file name

    options:
      -h, --help            show this help message and exit
      --version             show program's version number and exit
      --output_filename OUTPUT_FILENAME
                            Name of the xls output file. Must have extension .xlsx
      --output_directory OUTPUT_DIRECTORY
                            Name of the output directory. If not given, it is determined by the output file name
      --search_and_replace [SEARCH_AND_REPLACE ...]
                            Search en Replace patterns in case you want to change strings.By default, cdots en ast are
                            replaced by . and * vervangen, respectively
      -v, --verbose         set loglevel to INFO
      -vv, --debug          set loglevel to DEBUG
      --multi_index         Force a multiindex data frame
      --encoding ENCODING   Set the encoding of the text file. Default is utf-8

.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.0.1. For details and usage
information on PyScaffold see https://pyscaffold.org/.
letsbuilda-pypi 5.2.1
A wrapper for PyPI's API and RSS feed
License: MIT
Requires Python: >=3.11

# letsbuilda-pypi

A wrapper for [PyPI's API and RSS feeds](https://warehouse.pypa.io/api-reference/index.html).

## Usage

### Sync client

```py
from httpx import Client
from letsbuilda.pypi import PyPIServices

http_client = Client()
pypi_client = PyPIServices(http_client)

print(pypi_client.get_rss_feed(pypi_client.NEWEST_PACKAGES_FEED_URL))
print(pypi_client.get_package_metadata("letsbuilda-pypi"))
```

### Async client

```py
from httpx import AsyncClient
from letsbuilda.pypi.async_client import PyPIServices

http_client = AsyncClient()
pypi_client = PyPIServices(http_session)

print(await pypi_client.get_rss_feed(pypi_client.NEWEST_PACKAGES_FEED_URL))
print(await pypi_client.get_package_metadata("letsbuilda-pypi"))
```