semvec/pypi-packages huggingface dataset:
popex 1.4.0
PoPEx sampling package
License: MIT

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# PoPEx Python3 Package

This python3 package is an implementation of the parallelized adaptive importance sampler. PoPEx is a robust method to solve the inverse problem when the parameters are categorical (such as rock types) and when a prior geostatistical model is defined.

The method is described in detail in the following references:
- Jäggli C, Straubhaar J and Renard P (2018) Parallelized Adaptive Importance Sampling for Solving Inverse Problems. Front. Earth Sci. 6:203. doi: [10.3389/feart.2018.00203](https://www.frontiersin.org/articles/10.3389/feart.2018.00203/full)  
- Jäggli, C., Straubhaar, J., and Renard, P. (2017). Posterior population expansion for solving inverse problems. Water Resour. Res. 53, 2902–2916. doi: [10.1002/2016WR019550](http://dx.doi.org/10.1002/2016WR019550)


## Documentation

Find the documentation of the package under https://popex.readthedocs.io
imageprobe 0.3.0
Asynchronous image probing library. Fetch only as much as you need!
License: MIT
Requires Python: >=3.6.2,<4.0.0
Keywords: imagesize,fastimage

# imageprobe

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Asynchronous library to get image dimensions by fetching as little data as possible.

It temporarily supports only GIF, PNG because development is still in a very early stage.

## Usage

To install this library, run:

    pip install imageprobe

The `probe()` function returns metadata of an image from an URL, or throws an exception if an error occurred.

```python
import asyncio
from imageprobe import probe

url = "https://upload.wikimedia.org/wikipedia/commons/7/70/Example.png"
image_data = asyncio.run(probe(url))
print(image_data.width, image_data.height)

# 172 178
```

Under the hood, `probe()` creates an `aiohttp.ClientSession`, but you can pass a pre-existing session as an optional argument if you prefer.

## Contributing

I won't accept pull requests until the first beta release.
pydrinker-loafer 1.0.1
Asynchronous message dispatcher for concurrent tasks processing
License: MIT
Requires Python: >=3.7,<3.10
Keywords: asyncio,message,dispatcher,tasks,microservices

# pydrinker-loafer

![build on github actions](https://github.com/pydrinker/pydrinker-loafer/actions/workflows/test.yml/badge.svg?branch=main)

This is where the [pydrinker](https://github.com/pydrinker/pydrinker) starts, this project is based on [olist-loafer](https://github.com/olist/olist-loafer) the unique difference between olist-loafer and pydrinker-loafer is about dependencies with [aiobotocore](https://github.com/aio-libs/aiobotocore), pydrinker-loafer doesn't have this dependency.

To understand more about pydrinker [see org page](https://github.com/pydrinker).