semvec/pypi-packages huggingface dataset:
mc-pyority-queue 1.0.1
Map colonies priority queue management service for records
Requires Python: >=3.6

# Map colonies - priority queue management package
<br />


 ## Overview
 Pyority-Queue - python priority queue package provides ability to manage queue by handle tasks statuses and report tasks liveness.

 <br />

 ##  Installation:

 <br />

From PyPi

```
 $ pip install mc-pyority-queue
 ```

<br />
<br />


## Getting Started

<br />

*Import & Initialize*



```
from mc-pyority-queue.task_handler import TaskHandler

task_handler = TaskHandler('job_type', 'task_type',
    'http://localhost:8081', 'http://localhost:8080/heartbeat', 1.0)
```
above example uses TaskHanler class and initializing it follow the request params:

`task_handler = TaskHandler(job_type, task_type, job_mngr_url, heartbeat_url, interval_ms, logger)`





<br />

* **Dequeue** 

```
from mc-pyority-queue.task_handler import TaskHandler

async def main():
    task_handler = TaskHandler('job_type', 'task_type',
    'http://localhost:8081', 'http://localhost:8080/heartbeat', 1.0, logger_instance)

    await task_hanlder.dequeue(interval_ms)


loop = asyncio.get_event_loop()
task = loop.run_until_complete(main())
```

consume task from the job manager service and start send heartbeat to the heartbeat service

<br />

* **Reject**

```
 await task_hanlder.reject(job_id, task_id, is_recoverable, reason)
```
reject handle error by stop sending task's heartbeat and handle task's status - depends if task is recoverable or not.

<br />

* **ack**

```
await task_hanlder.ack(job_id, task_id)
```
ack handle completed task - stops sending task's heartbeat and handle complete task status

<br />

* **update_progress**

```
await task_hanlder.update_progress(job_id, task_id, percentage)
```
handle task progress - sends job manager updated percentage on progress
stloader 0.0.2
Application to load custom and factory firmware on the STLINK-V3
Requires Python: >=3.5

# stloader
stloader is python based commandline utility for flashing any firmware onto a STLINK-V3 MINI probe without erasing the factory ST bootloader. This project includes the work from the following projects
- [radioperator](https://github.com/RadioOperator) - [Yet Another Bootloader](https://github.com/RadioOperator/Yet_Another_Bootloader)
- [Jean THOMAS](https://github.com/jeanthom) - [stlink-tool](https://github.com/jeanthom/stlink-tool)

## Installation
`pip install stloader`
## Usage
TODO
## tl;dr
![Alt text](/img/stlink_v3_annotated.jpg?raw=true "ST-LINK-V3 MINI")
TODO
stoader 0.0.1
Application to load custom and factory firmware on the STLINK-V3
Requires Python: >=3.5

# stloader
stloader is python based commandline utility for flashing any firmware onto a STLINK-V3 MINI probe without erasing the factory ST bootloader. This project includes the work from the following projects
- [radioperator](https://github.com/RadioOperator) - [Yet Another Bootloader](https://github.com/RadioOperator/Yet_Another_Bootloader)
- [Jean THOMAS](https://github.com/jeanthom) - [stlink-tool](https://github.com/jeanthom/stlink-tool)

## Installation
`pip install stloader`
## Usage
TODO
## tl;dr
TODO
camfi 2.1.4
Camera-based Analysis and Monitoring of Flying Insects
Requires Python: >=3.9, <4
Keywords: ecology,monitoring,insects,wingbeat frequency

# camfi

[![Build Status](https://travis-ci.com/J-Wall/camfi.svg?branch=main)](https://travis-ci.com/J-Wall/camfi)
[![Documentation Status](https://readthedocs.org/projects/camfi/badge/?version=latest)](https://camfi.readthedocs.io/en/latest/?badge=latest)
[![DOI](https://zenodo.org/badge/309541834.svg)](https://zenodo.org/badge/latestdoi/309541834)

**C**amera-based **A**nalysis and **M**onitoring of **F**lying **I**nsects

Camfi is a method for the long-term non-invasive monitoring of the activity and
abundance of low-flying insects using inexpensive wildlife cameras. It provides
utilities for measuring the wingbeat frequency of insects in still images, based
on the motion blurs drawn on the image sensor by the insect moving through the
air. For large-scale monitoring projects, camfi enables automatic annotation of
flying insects using the Mask R-CNN framework.

Please see the [docs](https://camfi.readthedocs.io/en/latest/index.html) for
installation and usage instructions.