semvec/pypi-packages huggingface dataset:
dns-observe 0.6.5
a simple client to observe dns pollution network situation under Great Firewall.
Requires Python: >=3.7

[![publish](https://github.com/xavierskip/dns-observe/actions/workflows/publish-to-test-pypi.yml/badge.svg?event=push)](https://github.com/xavierskip/dns-observe/actions) [![PyPI version](https://badge.fury.io/py/dns-observe.svg?icon=si%3Apython)](https://badge.fury.io/py/dns-observe)

# dns-observe
a simple client to observe dns pollution network situation under The Great Firewall of China.

So far, only type A DNS queries have been implemented.

## Installing
Install and update using [pip](https://pypi.org/project/dns-observe/):
`pip install dns-observe`

## usage
cli
```
> dns-observe -h
usage: dns-observe [-h] [-s DNS_SERVER] [-t LISTEN_TIME] [-v] domain

Observing DNS pollution

positional arguments:
  domain                query domain

options:
  -h, --help            show this help message and exit
  -s DNS_SERVER, --dns_server DNS_SERVER
                        DNS server (default: 1.1.1.1)
  -t LISTEN_TIME, --listen_time LISTEN_TIME
                        listen time (default: 5)
  -v, --version         show program's version number and exit
```

python:

`> python -m dns_observe api.openai.com`

```python
from dns_observe import DNSQuery, RecordType
dns = DNSQuery('1.1.1.1')
dns.query('api.openai.com')
dns.query('claude.ai', RecordType.AAAA)
```

output:
```
- Time: 2024-11-22 11:18:16.977688, Name: api.openai.com, TTL: 153, A: 103.56.16.112
- Time: 2024-11-22 11:18:16.978715, Name: api.openai.com, TTL: 206, A: 192.133.77.145
┌ Time: 2024-11-22 11:18:17.140652, Name: api.openai.com, TTL: 46, A: 162.159.140.245
└ Time: 2024-11-22 11:18:17.140652, Name: api.openai.com, TTL: 46, A: 172.66.0.243
```

### How to Packaging Python Projects
https://packaging.python.org/en/latest/tutorials/packaging-projects/

```
python -m build

# testpypi
py -m twine upload --repository testpypi dist/*

# pypi
py -m twine upload dist/*
```

## dev

`> pip install -e .`

### test

`> python tests/test_run.py`
osl-sampleproject 2.0.0
A sample Python project
Requires Python: <4,>=3.7
Keywords: sample, setuptools, development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
francolib 0.0.1
Libreria per gestire TDMS e grafici
Requires Python: >=3.6

##Libreria Franco De Angelis##
import francolib as fd
data = fd.TDMS(r\"stall load sn0001.tdms\") 
forza=data.col(\"/'Forza [N]'/'D1.BW01 [N]'\") 
timef=data.colonna(\"Forza*Time\") 
spos=data.col(\"*Spostamento [mm]*D1.BG01*\") 
velox=data.colonna(\"/'VelocitÃ  [mm/s]'/'D1.BV01 [mm/s]'\") 
correGS1=data.colonna(\"/'Corrente [mA]'/'T1.GS1.FBK.I [A]'\") 
correGS2=data.colonna(\"/'Corrente [mA]'/'T1.GS2.FBK.I [A]'\") 
fd.TDMS().scrivi_tdms('output.tdms',(timef, 'Group_Time', 'Time'),(spos, 'Group_Time', 'Spos'),(forza, 'Group_Load', 'Load(N)'))
a=fd.GRAFICO('bello') 
a.xylabels('assexx','asseyY') 
a.curvecolor('blue') 
a.label('bello') 
a.plot([timef,forza],'label','red') 
b=fd.GRAFICO('titolo',(20,10)) 
b.xlabel('assexxAAA') 
b.plot2assi(([timef,forza],'Forza (N)','red'),([timef,spos],'disp (mm)','magenta')) 
b.plotGaussiana(([timef,forza],'Forza (N)','red'))
FactGridBot 0.1.0
A specialized Wikibase bot designed to synchronize and manage data between Wikidata and FactGrid.
Requires Python: >=3.10

# FactGridBot
A specialized Wikibase bot designed to synchronize and manage data between [Wikidata](https://wikidata.org) and [FactGrid](https://database.factgrid.de).

## Overview
FactGridBot facilitates seamless data integration between Wikidata and FactGrid by:

* Synchronizing entity mappings between the two platforms
* Adding FactGrid entity IDs to corresponding Wikidata entries
* Processing and querying data across both knowledge bases

## Key Features

* Cross-Platform Synchronization: Maintains consistency between Wikidata and FactGrid entities
* Entity ID Management: Automatically associates FactGrid identifiers with Wikidata entries
* Data Processing Pipeline: Provides robust querying and data processing capabilities
* Specialized Use Cases: Supports specific data integration tasks, such as linking family names between platforms


## Use Cases
### Entity Synchronization

* Maps corresponding entities between Wikidata and FactGrid
* Maintains bidirectional references for enhanced data tracking

### Data Processing

* Queries data from both platforms efficiently
* Processes and transforms information as needed
* Supports specialized data linking operations

## Getting Started
> ToDo

## Contributing
> ToDo

# Acknowledgements
This project was funded by [FactGrid](https://database.factgrid.de).


# Licence <a id="license"></a>
This repository is licensed under the [Apache 2.0](./LICENSE) license.