semvec/pypi-packages huggingface dataset:
mikado-graph 0.1.5
Python tool to draw graphs for Mikado refactoring

# Mikado Graph

Python tool to draw graphs for Mikado refactoring.

- Learn what is the [Mikado method](https://pragprog.com/magazines/2010-06/the-mikado-method)
- Learn how to [leverage Mikado graphs in your refactoring tasks](https://www.syrianspock.com/software/2018/07/08/mikado-refactoring/)
- Python package [hosted on pypi](https://pypi.org/project/mikado-graph/)

## Quickstart

Start by saving this description file as as `example.txt`
```
_ Extend X with Y
    x Remove flag Z from X
        x Replace D with E
            x Check C
    # Ignore this line
    _ Add field X in Y
        x Do fix A
        _ Add B
        x Check C
```
Then run
```bash
pip install mikado-graph
mikado example.txt --view
```
A new window should display the graph below

![Example graph](https://raw.githubusercontent.com/SyrianSpock/mikado-graph/master/example.png)

Explore the options using `--help`
```bash
mikado --help
```
And learn more about the description file format below.

## Graph description symbols

Parent/child dependency is encoded by indentation.

There are three kinds of nodes in the graph
- Comments are prefixed by one of the following symbol: `//`, `#`
- Done tasks (drawn in green) are prefixed by one of the following symbols: `v`, `V`, `x`, `X`
- Pending tasks (drawn in red) are prefixed by any symbol that is not used by the above two choices.
  We recommend using `_` to keep the description file human readable

## Dev & Deploy

Deploy by running
```bash
python setup.py sdist bdist_wheel
twine upload dist/*
```

## Known issues

- `graphviz` will always save a temporary file when asked to render the graph.
proxyscraper 0.0.1
Scrape proxy details from popular web pages

# ProxyScraper #
Python library for scraping proxies from popular providers.

## Basic Usage ##

### Scraping from Free Proxy List ###

```python
from proxyscraper.scrapers.freeproxylist import FreeProxyListScraper

scraper = FreeProxyListScraper()
proxies = scraper.get_proxy_list()

f = open("/path/to/file.txt", 'w+')
for proxy in proxies:
    out = ', '.join(str(x) for x in [proxy.ip, proxy.port, proxy.code, proxy.country, proxy.anon])
    out += '\n'
    f.write(out)
f.close()

```
file.txt

```text
177.204.85.203, 80, BR, Brazil, elite proxy
182.16.175.9, 53281, ID, Indonesia, elite proxy
93.190.142.240, 80, NL, Netherlands, anonymous
173.212.202.65, 443, DE, Germany, elite proxy
74.209.243.116, 3128, US, United States, anonymous
...
```

## License

MIT License

Copyright (c) 2018 Ovidijus Okinskas

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
magcolloid 0.3.8
A set of routines to interface with lammps and setup simulations of magnetic colloidal particles

# magcollois

This is a set of routines to start and read simulations in lammps of colloidal particles interacting through dipolar and Lennard-Jones potentials. It includes functionality to set up walls to confine the colloids and biharmonic traps. It's mostly a wrapper for lammps, although that might change in the future. It is made to work on windows, and it therefore interfaces with lammps through input scripts and dump files, instead of using the python interface. 

### Prerequisites
Most things are tested using numpy 1.13.1, scipy 1.0.0 and pandas 0.22.0. A lammps executable is needed, which includes the dipole package, and a superparamagnetic atom type. The source code for this can be found in https://github.com/aortiza/lammps which is a branch of the original lammps http://lammps.sandia.gov/. Executables for Windows, Intel Mac and Ubuntu can be found in the folder lammps_executables/


## Authors

* **Antonio Ortiz-Ambriz** 

## License

This project is licensed under the GPL License. In fact, most of the code is licenced under MIT licence, but LAMMPS is GPL.