semvec/pypi-packages huggingface dataset:
suppress 0.2.0
A simple wrapper around contextlib.suppress

# Suppres

![https://static.pepy.tech/badge/suppress](https://static.pepy.tech/badge/suppress)

Decorator to ignore exceptions. A simple wrapper around contextlib.suppress.

## Install

```
pip install suppress
```

## Usage

```python
import asyncio
from suppress import suppress


@suppress(ZeroDivisionError)
def zero_division_error_function():
    return 1 / 0


@suppress(ZeroDivisionError)
async def zero_division_error_async_function():
    return 1 / 0


async def main():
    zero_division_error_function()
    print('First print')

    await zero_division_error_async_function()
    print('Second print')


if __name__ == '__main__':
    asyncio.run(main())
```
Output:

```
First print
Second print
```
eagleowl 0.0.10
A tool for installing sophisticated Kubernetes application consisting of numerous components and intricate configurations.
Requires Python: >=3.6

# EagleOwl

A tool for installing sophisticated Kubernetes application consisting of numerous components and intricate configurations.

EagleOwl is distributed as a Python package, officially registered within the Python Package Index (PyPi).  
It support all Python versions since 3.6.

The installation of EagleOwl is straightforward:
```
pip install eagleowl
```

For assistance and command options, use: `eagleowl -h` \
This command provides usage instructions and a list of available options, including but not limited to specifying work directories, setting log levels, and executing install or uninstall commands.

## The design behind the installer

EagleOwl offers a range of functionalities designed to accommodate diverse customer needs, including those with varying Kubernetes cluster configurations and pre-existing Kubernetes resources.

Central to this customization capability is *Application Manifests* — a collection of YAML files outlining the architecture of the application.  
EagleOwl, leveraging *Application Manifests*, acts as a versatile tool capable of applying these Kubernetes resources and configurations to customers' Kubernetes clusters.