semvec/pypi-packages huggingface dataset:
apirun 0.2.12
API testing framework
License: MIT

# apirun
A simple API test framework for doing api test easy.
## How to Use It?
Open Console, type `apirun --help`, you will see some parameters
>-f TESTCASEFILE, --testcasefile=TESTCASEFILE
>>TESTCASEFILE is .xls format, you can write testcases in it.

> -F TESTCASEFOLDER, --testcasefolder=TESTCASEFOLDER
>>TESTCASEFOLDER contains TESTCASEFILEs, you need write `folder` or `folder\\`, never `\\folder`; default is None, which means to scan the current work dir.

>--report=REPORT
>>Folder to store test results, default is `report`.

>--demo
>>Make demo xls in working dir.

>-V, --version
>>Show the version.

>--email
>>sending email after finishing api test

>--from
>>the user who sends email, will cover the info in email.json

>--to
>>the user(s) who receive email, will cover the info in email.json

>--subject
>>the email subject, will cover the info in email.json, default is `API Test Result`

>--host
>>the email host, will cover the info in email.json, is required no metter in json file or in parameter

>--pt, --pressuretest
>>run pressure test according to the xls, supported by locustio; `Ctrl + C`, if you want to stop it.

>--pt-demo
>>make PT demo file in current folder

>--pt-not-run
>>just make locustfile according to the xls

>--master
>>Set locust to run in distributed mode with this process as master, use this parameter with --pt; `Ctrl + Break`, if you want to stop it.

## Pending
* More api test situations
iptables-exporter 0.9.3
Prometheus iptables exporter
License: MIT
Keywords: prometheus monitoring iptables bandwidth

# Iptables exporter

A Prometheus exporter that collects traffic data from iptables rules.


## Installation

    pip install iptables-exporter


## Usage

Test run:

    iptables-exporter --dump-data

Run iptables-exporter:

    iptables-exporter --port 9119

Point your browser to http://localhost:9119/metrics


## Docker

    docker run --net=host --cap-add=NET_ADMIN madron/iptables-exporter


## Configure iptables

Optionally you can monitor specific rules by adding a comment starting with `iptables-exporter`:

    iptables -A INPUT --dport ssh -j ACCEPT -m comment --comment "iptables-exporter ssh traffic"

collects packets and bytes counter:

    iptables_packets{ip_version="4",table="filter",chain="input",rule="ssh traffic"} 347.0
    iptables_bytes{ip_version="4",table="filter",chain="input",rule="ssh traffic"} 44512.0

More rules with same name:

    iptables -A INPUT -s 10.0.0.0/8     --dport ssh -j ACCEPT -m comment --comment "iptables-exporter ssh traffic"
    iptables -A INPUT -s 172.16.0.0/12  --dport ssh -j ACCEPT -m comment --comment "iptables-exporter ssh traffic"
    iptables -A INPUT -s 192.168.0.0/16 --dport ssh -j ACCEPT -m comment --comment "iptables-exporter ssh traffic"

exports total packets and bytes for the 3 rules as they have same ip_version, table, chain and name.
hexagdly 2.0.2
Utilising CNNs for hexagonally sampled data with PyTorch
License: MIT
Requires Python: >=3.6
Keywords: hexagonal convolution

# HexagDLy

HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It can be used to build convolutional neural networks for applications that rely on hexagonally sampled data. More information is avialable on [GitHub](https://github.com/ai4iacts/hexagdly "HexagDLy - Project Page")