semvec/pypi-packages huggingface dataset:
compress-pickle 2.1.0
Standard pickle, wrapped with standard compression libraries
Requires Python: >=3.6

# `compress_pickle`
### Standard python pickle, thinly wrapped with standard compression libraries

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
[![Build Status](https://dev.azure.com/lucianopazneuro/lucianopazneuro/_apis/build/status/lucianopaz.compress_pickle?branchName=master)](https://dev.azure.com/lucianopazneuro/lucianopazneuro/_build/latest?definitionId=1&branchName=master)
[![Coverage Status](https://codecov.io/gh/lucianopaz/compress_pickle/branch/master/graph/badge.svg)](https://codecov.io/gh/lucianopaz/compress_pickle)
[![PyPI](https://img.shields.io/pypi/v/compress_pickle.svg)](https://pypi.org/project/compress-pickle/)
[![License: MIT](https://img.shields.io/badge/License-MIT-purple.svg)](https://opensource.org/licenses/MIT)

The standard [pickle package](https://docs.python.org/3/library/pickle.html) provides an excellent default tool for serializing arbitrary python objects and storing them to disk. Standard python also includes broad set of [data compression packages](https://docs.python.org/3/library/archiving.html). `compress_pickle` provides an interface to the standard `pickle.dump`, `pickle.load`, `pickle.dumps` and `pickle.loads` functions, but wraps them in order to direct the serialized data through one of the standard compression packages. This way you can seemlessly serialize data to disk or to any file-like object in a compressed way.

`compress_pickle` supports python >= 3.6. If you must support python 3.5, install `compress_pickle==v1.1.1`.

Supported compression protocols:
- [gzip](https://docs.python.org/3/library/gzip.html)
- [bz2](https://docs.python.org/3/library/bz2.html)
- [lzma](https://docs.python.org/3/library/lzma.html)
- [zipfile](https://docs.python.org/3/library/zipfile.html)

Furthermore, `compress_pickle` supports the [`lz4`](https://pypi.org/project/lz4/) compression protocol, that isn't part of the standard python compression packages. This is provided as an optional extra requirement that can be installed as:

```bash
pip install compress_pickle[lz4]
```

Please refer to the [package's documentation](https://lucianopaz.github.io/compress_pickle/html) for more information
trend-app-protect 4.6.2
Trend Micro Cloud One Application Security

# Trend Micro Cloud One Application Security for Python

## What is it?
Trend Micro Cloud One - Application Security provides real-time application security as a service for modern applications, APIs, serverless and other computing platforms. When Application Security is deployed, threats to your web applications will be detected and protected against, minimizing your risk.

## Features
Application Security detects and protects against a wide range of attacks at runtime within your entire application, including:
SQL injections
Remote command execution 
Illegal file access 
Malicious file uploads
Malicious payloads
URL redirects
And more


## Installation

Add the Trend Micro Application Security package to *requirements.txt*:

```
trend_app_protect
```

Run pip to install the package:

```sh
pip install -r requirements.txt
```

Import the `trend_app_protect.start` module at the top of your WSGI script:

```python
import trend_app_protect.start
```

## Configuration

The agent key and secret can be configured via the `TREND_AP_KEY` and `TREND_AP_SECRET` environment variables.

Optionally, you can provide a configuration in the file *trend_app_protect.ini* under the root of the project or under */etc* but the environment variables will still take precedence:

```ini
[trend_app_protect]
key = my-key
secret = my-secret
```

## Support

- Python 3.4+
- Django 1.11, 2.0, 2.1, 2.2
- Flask 0.11+
- Pyramid 1.6+

| Feature                       | Required Component       |
| ------------------------------| ------------------------ |
| All features                  | WSGI based web-server |
| File Access                   | *N/A* |
| RCE                           | *N/A* |
| SQLi                          | mysqldb, psycopg2, pymssql, pymysql, sqlite2, sqlite3 |
| Redirects                     | Django, Flask |
| HTTP params                   | Django, Werkzeug |

## Internal dependencies

- functools_lru_cache @ https://github.com/jaraco/backports.functools_lru_cache