semvec/pypi-packages huggingface dataset:
crkpak 0.1
Pakistani Facebook Account Cloner
License: MIT
Requires Python: >=2.7

# Crack Pak
### Pakistani Facebook Account Cloner [ No Login Required ]

### Description

Crack Pak is a Facebook Account Cloner only for Pakistan. Facebook Account Login is not required for using this tool. This tool is made for private use only. So,It will be better to don't knock me. It Cracks only 7 Digit Passwords.

### [~] Installation :

* `apt-get install git python python2 -y`
* `pip2 install requests mechanize`
* `git clone https://github.com/htr-tech/crackpak`
* `cd crackpak`
* `python2 crack.py`

#### Username : On Github
#### Password : On Github

### Find Me On : 

* Facebook	:	[CLICK HERE](https://www.facebook.com/tahmid.rayat.official)
* Github	:	[CLICK HERE](https://www.github.com/htr-tech)
* Instagram	:	[CLICK HERE](https://www.instagram.com/tahmid.rayat)
* Telegram	:	[CLICK HERE](https://t.me/htrtech)
* Messenger	:	[CLICK HERE](https://m.me/tahmid.rayat.official)
* Twitter	:	[CLICK HERE](https://www.twitter.com/tahmidrayat)


## License

Copyright © 2020 Tahmid Rayat
kukolex 0.0.7
Korean morphological analyzer and tagger.
License: MIT
Requires Python: >=3
Keywords: POS morpheme tagger

KUKoLex
===============
KUKoLex is a Korean morphological analyzer and tagger made by NLP&AI LAB at Korea University. Main functions are as follows.

### Requirements

Python 3


### Install

From PyPi:
```
    pip install kukolex
```
From GitHub:
```
    pip install git+https://github.com/nlpai-lab/KU_KoLex.git
```

### Usage

* pos_tagging(input)

It takes "sentences" as an input and gives a list of morphemes and their POS tags as an output


* morphs(input)

It takes "sentences" as an input and gives a list of morphemes.


* pos(input)

It takes "sentences" as an input and gives a list of POS tags.


* nouns(input)

It takes "sentences" as an input and gives a list of nouns.


```
    from KUKoLex import kukolex

    kukolex.pos_tagging('안녕하세요. 저의 이름은 홍길동입니다.')
    # [('안녕', 'NNG'), ('하', 'XSA'), ('시', 'EP'), ('어요', 'EM'), ('.', 'SF'), ('저', 'NP'), ('의', 'JKG'), ('이름', 'NNG'), ('은', 'JX'), ('홍길동', 'NNP'), ('이', 'VCP'), ('ㅂ니다', 'EM'), ('.', 'SF')]

    kukolex.morphs('안녕하세요. 저의 이름은 홍길동입니다.')
    # ['안녕', '하', '시', '어요', '.', '저', '의', '이름', '은', '홍길동', '이', 'ㅂ니다', '.']

    kukolex.pos('안녕하세요. 저의 이름은 홍길동입니다.')
    # ['NNG', 'XSA', 'EP', 'EM', 'SF', 'NP', 'JKG', 'NNG', 'JX', 'NNP', 'VCP', 'EM', 'SF']

    kukolex.nouns('안녕하세요. 저의 이름은 홍길동입니다.')
    # ['안녕', '저', '이름', '홍길동']
```
NebulaBayes 0.9.9
Compare observed emission line fluxes to predictions
License: MIT
Keywords: astronomy,Bayesian statistics

NebulaBayes is a package for astronomers that aims to provide a very general
way to compare observed emission line fluxes to model predictions, in order to
constrain physical parameters such as the nebular metallicity.

NebulaBayes is provided with two photoionization model grids produced using the
MAPPINGS 5.1 model.  One grid is a 3D HII-region grid which may be used to
constrain the oxygen abundance (12 + log O/H), ionisation parameter (log U) and
gas pressure (log P/k).  The other grid is for AGN narrow-line regions (NLRs)
and has 4 dimensions, with the added parameter "log E_peak" being a measure of
the hardness of the ionising continuum.  NebulaBayes accepts model grids in a
simple table format, and is agnostic to the number of dimensions in the grid,
the parameter names, and the emission line names.

The ``NebulaBayes.NB_Model`` class is the entry point for performing Bayesian
parameter estimation.  The class is initialised with a chosen model grid, at
which point the model flux grids are loaded, interpolated, and stored.  The
NB_Model instance may then be called one or more times to run Bayesian
parameter estimation using observed fluxes.  Many outputs are available,
including tables and figures, and all results and working are stored on the
object returned when the NB_Model instance is called.

| See the "docs" directory in the installed NebulaBayes package for more
  information, suggestions for getting started, and examples. (Type the
  following at the terminal to show the location of the installed package):
| ``$ python -c "import NebulaBayes; print(NebulaBayes.__file__)"``

The documentation assumes some knowledge of Bayesian statistics and scientific
python (numpy, matplotlib and pandas).

NebulaBayes is heavily based on IZI (Blanc+ 2015).

If you use NebulaBayes, please cite
`<http://adsabs.harvard.edu/abs/2018ApJ...856...89T>`_.

The package has been tested on Python 2.7 and Python 3.5.
push-swap-gui 1.1
Implementation of push-swap (42-school project) on python with GUI.
License: MIT
Requires Python: >=3.7
Keywords: 42 push_swap push-swap

# *push_swap_gui*

Implementation of push-swap (42-school project) on python with GUI.

![](.github/app_preview.png)

## Foreword

- Be welcome to use my project, `install`, `clone` and `fork` it!
- If you find a bug, please, create new `issue` (or contact with me in any way you want) to report about it! I will be glad to fix it! If you find a mistake in my spelling (because I'm from Russia, and English is not my native language), please notify me too!
- If you `clone/fork` this app and realise some new feature, you may create `pull request`! I am definitely interested in this!
- Also, I will be happy if you `follow` me, or `star` this project, ecpecially if you find it usefull, or use my code!
- For all questions be welcome to contact me in any way you want ��
> Here is my  mail: _elijahkash.code@gmail.com_

## How to use:

### Install

This is a simple python3 package already added to PyPI. Therefore, to use you do not need to "clone" it from github. Just open terminal and run:

`> pip3 install push_swap_gui`

> If you have just started at school42 and have never encountered python and have difficulty installing the application, visit this page: https://github.com/elijahkash/push_swap_gui/wiki/FAQ_for_beginners

### Launch

Now you can run this application from any directory, and in two ways:

- `> python3 -m push_swap_gui`
- `> push_swap_gui`

### Import

You also may `import push_swap_gui` as a module. In this case, you can:

- `push_swap_gui.PushSwapGUI(master)` : create a window with app in tkinter item, transmitted as `master`
- `push_swap_gui.push_swap(src_data)` : this func get iterable with source data, and return list with comands (push-swap solve)

Example:
```
>>> import push_swap_gui
>>> a = [1, -1, 3, 7, 2, 9, 12]
>>> push_swap_gui.push_swap(a)
['pb', 'ra', 'ra', 'ra', 'pb', 'ra', 'ra', 'ra', 'pa', 'pa', 'rra']
>>>
```

### Uninstall

`> pip3 uninstall push_swap_gui`

## License
- See the [LICENSE](./LICENSE) file for license rights and limitations (MIT).

## Support
- If you like my activity, you may say “thank you” to me and support me for any amount! Use 'Sponsor' button in github!
modern-python-setup 0.3.0
The Modern Python Setup project
License: MIT
Requires Python: >=3.7,<4.0
Keywords: modern,python,setup

[![Tests](https://github.com/hubplug/modern-python-setup/workflows/Tests/badge.svg)](https://github.com/hubplug/modern-python-setup/actions?workflow=Tests)
[![Codecov](https://codecov.io/gh/hubplug/modern-python-setup/branch/master/graph/badge.svg)](https://codecov.io/gh/hubplug/modern-python-setup)
[![PyPI](https://img.shields.io/pypi/v/modern-python-setup.svg)](https://pypi.org/project/modern-python-setup/)
[![Read the Docs](https://readthedocs.org/projects/modern-python-setup/badge/)](https://modern-python-setup.readthedocs.io/)

# modern-python-setup
Based on [Hypermodern Python](https://cjolowicz.github.io/posts/hypermodern-python-01-setup/) by [CLAUDIO JOLOWICZ](https://cjolowicz.github.io/)
dh2flake8 3.8.4
the modular source code checker: pep8 pyflakes and co
License: MIT
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7

========
 Flake8
========

Flake8 is a wrapper around these tools:

- PyFlakes
- pycodestyle
- Ned Batchelder's McCabe script

Flake8 runs all the tools by launching the single ``flake8`` command.
It displays the warnings in a per-file, merged output.

It also adds a few features:

- files that contain this line are skipped::

    # flake8: noqa

- lines that contain a ``# noqa`` comment at the end will not issue warnings.
- you can ignore specific errors on a line with ``# noqa: <error>``, e.g.,
  ``# noqa: E234``. Multiple codes can be given, separated by comma. The ``noqa`` token is case insensitive, the colon before the list of codes is required otherwise the part after ``noqa`` is ignored
- Git and Mercurial hooks
- extendable through ``flake8.extension`` and ``flake8.formatting`` entry
  points


Quickstart
==========

See our `quickstart documentation
<http://flake8.pycqa.org/en/latest/index.html#quickstart>`_ for how to install
and get started with Flake8.


Frequently Asked Questions
==========================

Flake8 maintains an `FAQ <http://flake8.pycqa.org/en/latest/faq.html>`_ in its
documentation.


Questions or Feedback
=====================

If you have questions you'd like to ask the developers, or feedback you'd like
to provide, feel free to use the mailing list: code-quality@python.org

We would love to hear from you. Additionally, if you have a feature you'd like
to suggest, the mailing list would be the best place for it.


Links
=====

* `Flake8 Documentation <http://flake8.pycqa.org/en/latest/>`_

* `GitLab Project <https://gitlab.com/pycqa/flake8>`_

* `All (Open and Closed) Issues
  <https://gitlab.com/pycqa/flake8/issues?scope=all&sort=updated_desc&state=all>`_

* `Code-Quality Archives
  <https://mail.python.org/mailman/listinfo/code-quality>`_

* `Code of Conduct
  <http://flake8.pycqa.org/en/latest/internal/contributing.html#code-of-conduct>`_

* `Getting Started Contributing
  <http://flake8.pycqa.org/en/latest/internal/contributing.html>`_


Maintenance
===========

Flake8 was created by Tarek Ziadé and is currently maintained by `Ian Cordasco
<http://www.coglib.com/~icordasc/>`_
inn 2020.7.14.17.56.58
深度学习工具类
License: MIT
Requires Python: >=3.6
Keywords: deepctr,deepnn,deepfm

<h1 align = "center">:rocket: inn :facepunch:</h1>

[![Downloads](http://pepy.tech/badge/inn)](http://pepy.tech/project/inn)
[![Downloads](https://pepy.tech/badge/inn/month)](https://pepy.tech/project/inn/month)
[![Downloads](https://pepy.tech/badge/inn/week)](https://pepy.tech/project/inn/week)
[![PyPI release](https://img.shields.io/pypi/v/inn.svg)](https://pypi.python.org/pypi/inn)
[![PyPI version](https://img.shields.io/pypi/pyversions/inn.svg)](https://pypi.python.org/pypi/inn)
---

# Install
```sh
pip install inn
```
mkdocs-img2fig-plugin 0.9.3
A MkDocs plugin that converts markdown encoded images into <figure> elements.
License: MIT
Requires Python: >=3.5
Keywords: mkdocs python markdown

# MkDocs Img2Fig Plugin

This [MkDocs](https://www.mkdocs.org) plugin converts markdown encoded images like

```
![An image caption](\assets\images\my-image.png)
```

into 

```html
<figure class="figure-image">
  <img src="\assets\images\my-image.png" alt="An image caption">
  <figcaption>An image caption</figcaption>
</figure>
```

## Requirements

This package requires Python >=3.5 and MkDocs version 1.0 or higher.  

## Installation

Install the package with pip:

```cmd
pip install mkdocs-img2fig-plugin
```

Enable the plugin in your `mkdocs.yml`:

```yaml
plugins:
    - search
    - img2fig
```

**Note:** If you have no `plugins` entry in your config file yet, you'll likely also want to add the `search` plugin. MkDocs enables it by default if there is no `plugins` entry set, but now you have to enable it explicitly.

More information about plugins in the [MkDocs documentation](https://www.mkdocs.org/user-guide/plugins/)