semvec/pypi-packages huggingface dataset:
django-padjana-recaptcha 1.0a1.dev3
Django application for adding Google reCAPTCHA verification to any form.
License: MIT

Padjana reCAPTCHA
=================

Django application for adding Google reCAPTCHA verification to any form.

Features
--------

* For Django 2.1.
* Supported types of reCAPTCHA:

  - reCAPTCHA v2

* Available in English and French.

Resources
---------

* `GitLab repository`_
* `Reporting issues`_

License
-------

This project is licensed under the `MIT License`_.

.. _`GitLab repository`:
    https://gitlab.com/pascalpepe/django-padjana-recaptcha
.. _`Reporting issues`:
    https://gitlab.com/pascalpepe/django-padjana-recaptcha/issues
.. _`MIT License`:
    https://gitlab.com/pascalpepe/django-padjana-recaptcha/blob/master/LICENSE
lambda-image-utils-prebuilt 0.0.20
Prebuilt dependencies for running some common image utilities in AWS Lambda
License: MIT
Keywords: lambda opencv dlib aws_lambda

# lambda_image_utils_prebuilt
A prebuilt set of the dependencies needed to run some common image utilities in AWS Lambda. This solves two main problems:

1. Builds some dependencies that need to be built in the AWS Lambda runtime environment.
2. Works arounds AWS Lambda's source code size limitation.

## Usage
`pip install lambda_image_utils_prebuilt`

Then, simply place this as the first import in your lambda function's handler:

`import lambda_image_utils_prebuilt.unpack`

## How it Works
The libs needed for face_recognition are built inside a Docker container that matches the environment in which AWS Lambda code is ran.

Since the dependencies for face_recognition exceed the source code size limit of AWS Lambda functions, we do some ridiculousness to make it work. We zip up the deps and then unzip them at runtime.

The dependencies in `prebuilt-requirements.txt` are generally large dependencies, therefore, these are included as well so that you can keep the source code size of your Lambda function small enough to deploy.

The unzipping of these deps at runtime will add overhead to your function's start time. So, please keep that in mind in deciding whether to use this package.

## See it in Action
[Here](https://github.com/JonathanPorta/lambda_face_recognition_example) is an example project that uses the [face_recognition portion](https://github.com/JonathanPorta/lambda_face_recognition_prebuilt) of this project as one of its dependencies.
safe-extractor 0.0.9
Some code that supposedly extracts zip/tar archives safely.
License: MIT
Keywords: tar zip extract archive

# safe_extractor
Some code that supposedly extracts zip/tar archives safely.

No guarantees.

## Install
`pip install safe_extractor`

## Usage
```
  from safe_extractor import safe_extractor
  safe_extractor.untar_it("myfile.tar.gz", extract_path='.')
  safe_extractor.unzip_it("myfile.zip", extract_path='.')
```