semvec/pypi-packages huggingface dataset:
discord-api.py 1.0.0a13
This is discord-api wrapper.

# discord-api.py
![PyPI](https://img.shields.io/pypi/v/discord-api.py) ![download](https://img.shields.io/pypi/dm/discord-api.py) [![Python 3.8 Tests](https://github.com/tuna2134/discord-api.py/actions/workflows/py38-test.yml/badge.svg?branch=main)](https://github.com/tuna2134/discord-api.py/actions/workflows/py38-test.yml)

## introduction

This is discord api wrapper.

Easy to create a bot

## setup

```bash
discord-api setup main
```

## More fast

If you are not using windows and have installed cpython. I recommend using this.

```bash
pip install discord-api.py[speed]
```

## extension

If you want to create extention module.

Please do like this name.

`discord-api-{name}`

## low wrapper

If you want to use low wrapper, please watch [this](https://github.com/tuna2134/discord-api.py/blob/main/discord_api/low/README.md).

## sample

```python
from discord_api import Client, Command

client = Client(log = False)

client.add_command(Command("ping", "pong."))

@client.event
async def on_ready():
    print("ready")

@client.event
async def on_interaction(i):
    await i.send("Pong!", True)

client.run("token")
```

## license

Watch a `LICENSE`!

## support

[Discord server](https://discord.gg/VpBs4zGC3z)

![discord](https://discord.com/widget?id=912542431185100862&theme=dark")
omni-coveragereporter 0.0.3
Omni Coverage Reporter. Strives to be as universal as possible in receiving, converting and sending reports from many types to different online APIs
Keywords: report,codacy,coveralls,codecov

Experimental Python Omni Reporter


Release 0.0.1 - 0.0.2 - 2022/02/04

Support for GoLang generated reports. In the same way as CoveragePy, it assumes that all files located in the root with `out` extension, to be these coverage files.
To know more about these unique reports, please have a look at the document I've written about it [here](./GoReporting.md)

Release 0.0.0 - 2022/01/24

- 1 file on the root folder
- Env variables: CODACY_PROJECT_TOKEN, CODECOV_TOKEN and COVERALLS_REPO_TOKEN
- More info on how reporting works in the project that started all Omni modules: https://github.com/JEsperancinhaOrg/omni-reporter-maven-plugin
nhssums 0.1.2
A small package to perform checksum validation on NHS numbers.
Requires Python: >=3.6

# nhssums

<!-- badges: start -->
[![lifecycle:
experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html)
<!-- badges: end -->

The nhssums package provides functions for working with NHS number checksums.

## NHS Number Overview

NHS numbers are issued to patients of the NHS in the UK.

The number consists of 9 digits and a single digit checksum.

For more information, please see the
[NHS number Wikipedia article](https://en.wikipedia.org/wiki/NHS_number)
on the subject.



## Instalation

To install the [published version](https://pypi.org/project/nhssums)  of the
package from PyPI:

```
python3 -m pip install nhssums
```

## Usage

Use `is_valid()` to iterate over a list of numbers:

``` python
>>> nhssums = [1234567881, 1234567806, 123456876, 1234512343]
>>> nhssums.is_valid(nhs_numbers)
[True, True, False, True]
```

To check if the checksum is valid for a single number, use `is_number_valid()`:

``` python
>>> import nhssums
>>> nhssums.is_number_valid(1234567881)
True
>>> nhssums.is_number_valid(1234567882)
False
```

Finally, `generate_checksum()` will return a valid checksum, for a given input
number. It can also return the full number (input + checksum) if required:

``` python
>>> nhssums.generate_checksum(123451234)
3
>>> nhssums.generate_checksum(123451234, full_output = True)
1234512343
```

## License

This package is released under an MIT license.
prc-flowmeter 0.2.4
A tool for deriving statistical features from pcap data.
Requires Python: >=3.6

# PRC Flowmeter v0.2.4
Flowmeter is a Scapy-based tool for deriving statistical features from PCAPs for data analysis and machine learning. The features are based on the java application [CICFlowmeter](https://github.com/ahlashkari/CICFlowMeter/)

Based heavily on [this flowmeter app](https://github.com/alekzandr/flowmeter)

# Usage
A Flowmeter object is created with up to three parameters:

* offline (str) - filename of a pcap file; if none provided, streams from available ports (requires run as admin in linux-based environments.)
* outfunc (function) - a csv rendition of the metered flows will be sent to this function as they are created. If none provided, will default to print().
* outfile (str) - filename to store csv flow output. If none is provided, results are not stored.

Building off of scapy Sessions, Flowmeter separates packet streams into distinct network communication 'flows', which are identified simply as communications between two endpoints (ip:port) on a given protocol within a period of time. From there it begins analyzing the flow data to derive features useful for plotting, traffic pattern analysis, and machine learning.

```
from flowmeter import Flowmeter

feature_gen = Flowmeter(
    offline = "input.pcap",
    outfunc = None,
    outfile = "output.csv")

feature_gen.run()

```

# Contributions
If you would like to contribute feel free to fork the repo, clone the project, submit pull requests, open issues, or request features/enhancements.

# License
PRCFlowmeter is currently licensed under the GNU GPLv2.