semvec/pypi-packages huggingface dataset:
azrmail 0.1.3
A Python wrapper for AZRMail API
Requires Python: >=3.6

# AZRMail API Wrapper

AZRMail is a simple Python wrapper for interacting with the AZRMail API, allowing users to generate temporary email addresses and fetch received emails effortlessly.

## Installation

Ensure you have Python installed, then install the required dependencies:

```bash
pip install azrmail
```

## Usage

Below is an example demonstrating how to use the AZRMail API wrapper in Python:

```python
from azrmail import Email

# Initialize Email API with your API key
mail = Email(api_key="API_KEY")

# Generate a temporary email address
email, inboxId = mail.generate()

# Retrieve emails from the generated inbox ID
emails = Email.getmail("inboxId")

# Print generated email and inbox ID
print(email, inboxId)

# Print received emails
print(emails)
```

## Features
- Generate temporary email addresses
- Retrieve received emails from a specific inbox

## API Reference

### `Email(api_key: str)`
Initializes the email API wrapper with your provided API key.

### `generate()`
Generates a new temporary email address and returns the email and `inboxId`.

### `getmail(inboxId: str)`
Retrieves all received emails from the specified inbox ID.

## License
This project is licensed under the MIT License.

## Contributing
Feel free to open issues or contribute by submitting pull requests!
hifilter 0.2.7
image filter lib
Requires Python: >=3.10

# hifilter
simple image filter

### DCT-NET
* cd hifilter/thirdparty/
* pip install opencv-python tensorflow easydict modelscope addict
* git clone https://github.com/menyifang/DCT-Net ( git clone https://gitee.com/last911/DCT-Net.git )
* cd ../../
* modelscope download iic/cv_unet_person-image-cartoon_compound-models --local_dir ./models/cv_unet_person-image-cartoon_compound-models
foco 0.0.1
foco helps you keep your docs up-to-date.
Requires Python: >=3.8

# foco

## Setup

```
python3 -m venv venv
. venv/bin/activate.fish
python3 -m pip install -r requirements.txt
```

## Build

```
python3 -m build
```

## Distribute

### TestPyPI

```
python3 -m twine upload --repository testpypi dist/*
```

### Production

```
python3 -m twine upload dist/*
```
sunkit-image 0.6.1
An image processing toolbox for Solar Physics.
Requires Python: >=3.10
Keywords: solar physics, solar, science, image analysis

``sunkit-image``
================

|Latest Version| |codecov| |Powered by NumFOCUS| |Powered by Sunpy|

.. |Powered by Sunpy| image:: http://img.shields.io/badge/powered%20by-SunPy-orange.svg?style=flat
   :target: https://www.sunpy.org
.. |Latest Version| image:: https://img.shields.io/pypi/v/sunkit-image.svg
   :target: https://pypi.python.org/pypi/sunkit-image/
.. |codecov| image:: https://codecov.io/gh/sunpy/sunpy/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/sunpy/sunkit-image
.. |Powered by NumFOCUS| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A
   :target: http://numfocus.org

``sunkit-image`` is a a open-source toolbox for solar physics image processing.
Currently it is an experimental library for solar physics specific image processing routines.
Ideally it will only contain routines that have been published in the literature.

See `sunkit-image Documentation`_ for instructions on how to install and contribute.

Usage of Generative AI
----------------------

We expect authentic engagement in our community.
Be wary of posting output from Large Language Models or similar generative AI as comments on GitHub or any other platform, as such comments tend to be formulaic and low quality content.
If you use generative AI tools as an aid in developing code or documentation changes, ensure that you fully understand the proposed changes and can explain why they are the correct approach and an improvement to the current state.

Code of Conduct
---------------

When you are interacting with the SunPy community you are asked to follow our `code of conduct <https://sunpy.org/coc>`__.

.. _sunkit-image Documentation: https://docs.sunpy.org/projects/sunkit-image/en/stable/
x0m3l50ajg9f 0.0.1
A template for projects that will be distributed on PyPI.
Requires Python: >=3.8

# pypitemplate

## Setup

```
python3 -m venv venv
. venv/bin/activate.fish
python3 -m pip install -r requirements.txt
```

## Build

```
python3 -m build
```

## Distribute

### TestPyPI

```
python3 -m twine upload --repository testpypi dist/*
```

### Production

```
python3 -m twine upload dist/*
```