semvec/pypi-packages huggingface dataset:
wheezy.captcha 3.2.2
A lightweight captcha library
Requires Python: >=3.10
Keywords: wsgi, http, captcha

# wheezy.captcha

[![tests](https://github.com/akornatskyy/wheezy.captcha/actions/workflows/tests.yml/badge.svg)](https://github.com/akornatskyy/wheezy.captcha/actions/workflows/tests.yml)
[![Coverage Status](https://coveralls.io/repos/github/akornatskyy/wheezy.captcha/badge.svg?branch=master)](https://coveralls.io/github/akornatskyy/wheezy.captcha?branch=master)
[![Documentation Status](https://readthedocs.org/projects/wheezycaptcha/badge/?version=latest)](https://wheezycaptcha.readthedocs.io/en/latest/?badge=latest)
[![pypi version](https://badge.fury.io/py/wheezy.captcha.svg)](https://badge.fury.io/py/wheezy.captcha)

[wheezy.captcha](https://pypi.org/project/wheezy.captcha/) is a
[python](http://www.python.org) package written in pure Python code. It
is a lightweight captcha library that provides integration with (one of
below must be installed):

- [PIL](http://www.pythonware.com/products/pil/) - Python Imaging
  Library 1.1.7.
- [Pillow](https://pypi.python.org/pypi/Pillow) - Python Imaging
  Library (fork).

It is optimized for performance, well tested and documented.

Resources:

- [source code](https://github.com/akornatskyy/wheezy.captcha),
  [examples](https://github.com/akornatskyy/wheezy.captcha/tree/master/demos)
  and [issues](https://github.com/akornatskyy/wheezy.captcha/issues)
  tracker are available on
  [github](https://github.com/akornatskyy/wheezy.captcha)
- [documentation](https://wheezycaptcha.readthedocs.io/en/latest/)

## Install

[wheezy.captcha](https://pypi.org/project/wheezy.captcha/) requires
[python](http://www.python.org) version 3.10+. It is independent of operating
system. You can install it from
[pypi](https://pypi.org/project/wheezy.captcha/) site (you need specify
extra requirements per imaging library of your choice):

```sh
pip install wheezy.captcha
pip install wheezy.captcha[PIL]
pip install wheezy.captcha[Pillow]
```

If you run into any issue or have comments, go ahead and add on
[github](https://github.com/akornatskyy/wheezy.captcha).
infrahub-sync 1.5.6
Infrahub-Sync is a versatile Python package that synchronizes data between a source and a destination system
Requires Python: <3.14,>=3.10

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![Infrahub Logo](https://assets-global.website-files.com/657aff4a26dd8afbab24944b/657b0e0678f7fd35ce130776_Logo%20INFRAHUB.svg)
<!-- markdownlint-restore -->

# Infrahub Sync

[Infrahub](https://github.com/opsmill/infrahub) by [OpsMill](https://opsmill.com) acts as a central hub to manage the data, templates and playbooks that powers your infrastructure. At its heart, Infrahub is built on 3 fundamental pillars:

- **A Flexible Schema**: A model of the infrastructure and the relation between the objects in the model, that's easily extensible.
- **Version Control**: Natively integrated into the graph database which opens up some new capabilities like branching, diffing, and merging data directly in the database.
- **Unified Storage**: By combining a graph database and git, Infrahub stores data and code needed to manage the infrastructure.

## Introduction

Infrahub Sync is a versatile Python package that synchronizes data between a source and a destination system. It builds on the robust capabilities of `diffsync` to offer flexible and efficient data synchronization across different platforms, including Netbox, Nautobot, and Infrahub. This package features a Typer-based CLI for ease of use, supporting operations such as listing available sync projects, generating diffs, and executing sync processes.

For comprehensive documentation on using Infrahub Sync, visit the [official Infrahub Sync documentation](https://docs.infrahub.app/sync/)

## Contributing

For information on setting up a development environment, running tests, and publishing releases, see the [Development guide](https://docs.infrahub.app/sync/development).
atmos-toolbox 3.6.2
A python toolbox for data analysis in meteorology & atmospheric sciences

# atmos_toolbox
A python toolbox for data analysis in meteorology & atmospheric sciences.  

## Author
Mingxi Zhang  
<zhang.mingxi@outlook.com>

## License
MIT liecnse

## Release notes
### v1.2.0
add function **ttest_3d** in module **stats_func**.
### v2.0.0
add module **lgr_mois_diag**.
### v3.0.0
add module **download**.
### v3.0.1 
In module **stats_func**, change **bool_loc_1d** into **bool_1d**,
correct an error in **ttest_3d**.
### v3.1.0
add module **fig_func**.  
### v3.2.0
add module **epe_detect**.
### v3.3.0
add function **fisher_exact_3d** in module **stats_func**.
### v3.4.0
add module **sph_harm** (spherical harmonics).  
### v3.4.1
update function **sh_smooth_xr** in module **sph_harm**.  
### v3.4.2
update function **days2events** in module **time_func**. 
### v3.4.3
add function **bootstrap_mean_test** in module **stats_func**. 
### v3.4.4
add function **extract_boundary** in module **fig_func**. 
### v3.5.0
add module **std_index**.
### v3.5.1
add function **rednoise_sig** in module **stats_func**. 
### v3.5.2
add function **noise_sig_fft** in module **stats_func**. 
### v3.5.3
add function **expand_mask_mh** in module **epe_detect**. 
### v3.5.4 
add function **cal_pearson_corr** in module **stats_func**. 
### v3.6.0
add module **hydro_utils**.
### v3.6.1
add function **interp_bool_smooth** in module **fig_func**. 
### v3.6.2
add function **grid_mask_from_shp** in module **fig_func**.