semvec/pypi-packages huggingface dataset:
ContainerizeMe 0.1.1
A Python package to optimize Dockerfiles and container images.
Requires Python: >=3.6

# ContainerizeMe

`ContainerizeMe` is a Python package designed to help developers optimize and manage their Docker images. The package automates the process of reducing the size of Docker images, making them more efficient for deployment in production environments. By using advanced techniques, it ensures faster deployments, less resource consumption, and improved portability across different environments.

## Features
- **Docker Image Optimization**: Automatically reduces the size of Docker images without compromising functionality.
- **Image Layer Management**: Optimizes the layering of Docker images to ensure quicker build times and faster downloads.
- **Compatibility**: Works with a wide variety of Python-based applications, as well as Dockerfiles.
- **User-Friendly**: Easy to integrate into existing CI/CD pipelines for seamless optimization.
- **Documentation**: Comprehensive user guide and examples to get you started quickly.

## Installation

You can install `ContainerizeMe` via `pip`:

```bash
pip install containerizemepackage
rtdce 1.0.1
A runtime type enforcer for dataclasses.
Requires Python: >=3.7

# Runtime Dataclass Enforcer 

```python

from rtdce import enforce 

from dataclasses import dataclass
from typing import Dict

@dataclass
class Test:
    hello: Dict[str, int]

t = Test(hello={'world': 123})

enforce(t)

```
unidari 0.1.0
Мега простой калькулятор на Python
Requires Python: >=3.6

# Calculator Package

Мега простой калькулятор на Python, предоставляющий базовые и расширенные математические операции.

## Установка

```bash
pip install calculator-pkg-unidari
```

## Использование

```python
from calculator.basic import add, subtract
from calculator.advanced import power, square_root
from calculator.advanced.trigonometry import sin, cos, tan

print(add(2, 3))             # Вывод: 5
print(subtract(5, 2))        # Вывод: 3
print(power(2, 3))           # Вывод: 8
print(square_root(16))  # Вывод: 4.0
print(sin(90))               # Вывод: 0.8939966636005579
print(cos(90))               # Вывод: -0.4480736161291701
print(tan(45))               # Вывод: 1.6197751905438615
```
## Лицензия

Этот проект лицензирован под лицензией MIT - подробности см. в файле [LICENSE](LICENSE).
cgiw 1.0.5
A framework for building python cgi scripts
Requires Python: >=3.7

# CGI Wrapper

This is a lightweight, extensible framework for writing CGI scripts in python.

## Install

```
pip install cgiw
```

## Use 

This package takes care of parsing the query, headers and body (if post). It parses some basic mime types such as ```application/json``` and ```application/x-www-form-urlencoded```, and allows the developer to use custom parsers. All handlers must return a tuple containing three items: the status string, a dictionary of headers, and the body. There are some basic response functions implemented to avoid having to construct this tuple from scratch.

### Example
Here is an example that demonstrates the functionality of the framework.

```python
#!/bin/python3

from cgiw import run
from cgiw.responses import redirect
from cgiw.decorators import wrap_headers, wrap_body 


def process_headers(headers):
    # do stuff
    return headers

def process_body(body):
    # do stuff
    return body

@wrap_headers(process_headers)
@wrap_body(process_body)
def handler(query, headers, body):
    # do stuff
    return redirect('/test', {'query': 'string'})

run(post=handler)
```