semvec/pypi-packages huggingface dataset:
zakhar-pycore 1.3.0
Python package used by the Zakhar project (zakhar.agramakov.me). The package contains addresses of devices, command codes, hardware interfaces, etc.
License: MIT
Keywords: robot,zakhar,robotics

# zakhar_pycore

Base python package for the Zakhar project

- Part of the [Zakhar's Brain](https://github.com/an-dr/zakhar_brain)
- Part of the [Zakhar Project](https://github.com/an-dr/zakhar)

## Installation

From pypi.org:

```bash
pip install zakhar-pycore
```

From GitHub:

``` bash
pip install git+https://github.com/an-dr/zakhar_pycore
```

From GitHub for a specific branch:

```bash
pip install git+https://github.com/an-dr/zakhar_pycore@branch_name
```
asvb 0.1
Assistant Vocabulary Library
License: MIT
Keywords: assistant,vocabulary

# Assistant Vocabulary Library

## Usage

In the following paragraphs, I am going to describe how you can get and use ASVB for your own projects.

###  Getting it

To download ASVB, either fork this github repo or simply use Pypi via pip.
```sh
$ pip install asvb
```

### Using it

ASVB was programmed with ease-of-use in mind. First, import ASVB

```Python
import asvb 
```

And you are ready to go!
aka-stats 21.2.5
Module for keeping metrics about your application in Redis. The goal is to have an easy way to measure an application, and then expose these metrics through a HTTP API, either to process it in some web ui, or expose it to Prometheus.
License: MIT
Requires Python: >=3.7,<4.0

# Aka Stats

[![GitHub license](https://img.shields.io/github/license/MichalMazurek/aka_stats)](https://github.com/MichalMazurek/aka_stats/blob/main/LICENSE)
[![Test/Lint](https://img.shields.io/github/workflow/status/MichalMazurek/aka_stats/Test%20code/main)](https://github.com/MichalMazurek/aka_stats/actions?query=workflow%3A%22Test+code%22)
[![PyPI](https://img.shields.io/pypi/v/aka_stats)](https://pypi.org/project/aka-stats/)

Aka (赤 - red in japanese) Stats.

Unified module for keeping stats in Redis.

The goal is to have an easy way to measure an application, and then expose these metrics through a HTTP API,
either to process it in some web ui, or expose it to Prometheus.

```python
from aka_stats import Stats, timer

with Stats() as stats:

    t = timer()
    ...

    stats("task_done", next(t).stat)

```

Or for asynchronouse code:

```python
from aka_stats import Stats, timer

async def process_device(device_id: str):

    async with Stats() as stat:
        t = timer()
        ...
        stats("task_done", next(t).stat, extra_labels={"device_id": device_id})
```

## Installation

And add this package to your project:

```bash
poetry add aka-stats
```

## Usage Guide

Check out the usage guide here: [Usage.md](Usage.md)

## Prometheus formatters

Information how to write a formatter is here: [PrometheusFormatter.md](PrometheusFormatter.md)

## Optional Standalone HTTP API

Check out this guide here: [Included HTTP API](<Included http api.md>)

## Pytest plugin

This module is also a pytest plugin, providing a fixture `mock_stats` which collects stats instead of writing them
to Redis.

```python

def test_something(mock_stats):
    do_something()
    assert mock_stats[0] == (1612550961, "test", 1, None)

```

And the module with function:

```python

def do_something():
    with Stats() as stats:
        stat("test", 1)
```