semvec/pypi-packages huggingface dataset:
sol1-monitoring-plugins-lib 1.1.1
Simple Library to manage the output for Nagios and Icinga Monitoring Plugins
Requires Python: >=3.7

# Sol1 Monitoring Plugins Library
Sol1 Monitoring Plugins Library are tools to assist in the creation of monitoring checks for Icinga2 and Nagios.


## MonitoringPlugin
```python
from sol1_monitoring_plugins_lib import MonitoringPlugin
```
The MonitoringPlugin class manages the state, output message and performance data of your check as well as returning this data and exiting the script.

It has been designed so you can add multiple tests and the class will intelligently manage the state and output for you. 

__Documentation__
You can find documentation in the [`docs`](./docs/monitoring_plugins.md) folder. 
Code usage examples can be found in the [`examples`](./examples/check_day_of_the_week.py) folder.

__Maturity__: Stable.

## Logging
```python
from sol1_monitoring_plugins_lib import initLogging, initLoggingArgparse, DEFAULT_LOG_LEVELS
```

The Logging functions setup loguru based logging for monitoring plugins with settings that allow for simple debugging during development and a short history for production usage by default.

__Documentation__
You can find documentation in the [`docs`](./docs/logging.md) folder. 
Code usage examples can be found in the [`examples`](./examples/check_day_of_the_week.py) folder.

__Maturity__: Stable.

# Development
Contributions are welcome, changes need to be backwards compatible.

## Setup
```
python3 -m pip install --upgrade pip setuptools wheel twine pytest
python3 -m pip install -r requirements.txt
```
## Build
```
python3 .\setup.py sdist bdist_wheel
```
## Tests
Install build package to current directory 
```
python3 -m pip install -e .
```
Run tests
```
python3 -m pytest tests/
```
haoda 0.0.20240228.dev1
Hardware-aware optimization and design automation
Requires Python: >=3.6

# Hardware-Aware Optimization and Design Automation

Reusable Python utilities for hardware-aware optimization and design automation.

## Feature Synopsis

+ [ ] intermediate representation (IR) system
+ [ ] Xilinx tool backend
+ [ ] Xilinx report parser
+ [ ] Intel tool backend
+ [ ] Intel report parser

## Getting Started

### Prerequisites

+ Python 3.6+ and corresponding `pip`

<details><summary>How to install Python 3.6+ on Ubuntu 18.04+ and CentOS 7?</summary>

#### Ubuntu 18.04+

```bash
sudo apt install python3 python3-pip
```

#### CentOS 7

```bash
sudo yum install python3 python3-pip
```

</details>

### Installing from PyPI

```bash
python3 -m pip install --user --upgrade haoda
```

### Installing from Source

```bash
python3 setup.py install --user
```

### Installing for Development

```bash
python3 -m pip install --editable .
```
pystata-kernel 0.3.2
A simple Jupyter kernel for Stata based on pystata

==============
pystata-kernel
==============

A simple Jupyter kernel for Stata based on *pystata* (https://www.stata.com/python/pystata/). Requires Stata 17 or above.
Consider *stata_kernel* (https://github.com/kylebarron/stata_kernel) instead if you have an older version of Stata. 

Installation
------------

See https://github.com/ticoneva/pystata-kernel for instructions.