semvec/pypi-packages huggingface dataset:
blackhc.progress-bar 1.1.0
A progressbar that works well for log files and also Jupyter notebooks
License: MIT
Keywords: logging

# Progress Bar

[![Build Status](https://travis-ci.com/BlackHC/progress_bar.svg?branch=master)](https://travis-ci.com/BlackHC/progress_bar) [![codecov](https://codecov.io/gh/BlackHC/progress_bar/branch/master/graph/badge.svg)](https://codecov.io/gh/BlackHC/progress_bar) [![PyPI](https://img.shields.io/badge/PyPI-blackhc.progress_bar-blue.svg)](https://pypi.python.org/pypi/blackhc.progress_bar/)

A progress bar that is either using TQDM for nice outputs internally, or a log-friendly replacement that works well for piping into files.

## Example

```python
from blackhc.progress_bar import with_progress_bar

for _ in with_progress_bar(range(100000)):
    pass
```

The package will decide whether to use tqdm or not based on whether output is attached to a terminal or not, 
or whether the cell is executed within a Jupyter Notebook or IPython terminal.

You can use `blackhc.progress_bar.use_tqdm = True/False` to force TQDM (or force disable it).

## Installation

To install using pip, use:

```
pip install blackhc.progress_bar
```

To run the tests, use:

```
python setup.py test
```
cmc-csci046-.data-structures 1.0.7
Implement efficent data structures
License: MIT

Build status:

![](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-fibonacci.yml/badge.svg)

![](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-range.yml)
[![tests-Unicode](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-unicode.yml/badge.svg?branch=unicode)](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-unicode.yml)
[![tests-BinaryTree](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-binarytree.yml/badge.svg)](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-binarytree.yml)
[![tests-BST](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-BST.yml/badge.svg?branch=bst)](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-BST.yml)
[![tests-AVLTree](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-avltree.yml/badge.svg?branch=avltree)](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-avltree.yml)
[![tests-HeapTree](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-HeapTree.yml/badge.svg?branch=heap)](https://github.com/Michaelhess17/containers-oop/actions/workflows/tests-HeapTree.yml)

This package was written as part of a homework assignment for CMC CSCI046: Data Structures and Algorithms. Use at your own risk!  

The package implements multiple types of data structures, including the following:   

- Generator objects (implemented with range and fibonacci)   
- Binary Trees    
- Binary Search Trees    
- AVL Trees    
- Heap Binary Trees
FRAKE-extractor 1.0.1
"Fusional Real-time Automatic Keyword Extraction"
License: MIT
Requires Python: >=3.6.0

# FRAKE: Fusional Real-time Automatic Keyword Extraction
This package is a Fusional Real-time method keyword extraction on text extracted from single documents to select the most important keywords of a text. Our method consists of a combination of two models: graph centrality features and textural features. The proposed method has been used to extract the best keyword among the candidate keywords with an optimal combination of graph centralities, such as degree, betweenness, eigenvector, and closeness centrality, and textural, such as Casing, Term position, Term frequency normalization, Term different sentence, Part Of Speech tagging. There have also been attempts to distinguish keywords from candidate phrases and consider them on separate keywords. In addition to the python package here described, we also make available a [web app](https://kw.zehtab.ir/)



## Installation
 you can install this package using pip
  ```
  $ pip install FRAKE-extractor
  ```

## How to use
you can use very simply 😀
```python
import FRAKE

text = "Google is acquiring data science community Kaggle. Sources ..."

kw = FRAKE.KeywordExtractor(lang='en',hu_hiper=0.4,Number_of_keywords=10)

print(kw.extract_keywords(text))
>>>  {'kaggle': 29.4,
        'google': 22.04,
        'data science machine competitions': 13.11,
        'Google acquiring data science Kaggle': 10.86,
        'data community': 8.33,
        'data': 5.72,
        'service running': 5.62,
        'platform': 3.86,
        'service': 3.79,
        'sources': 2.9}
```
or you can run [example.ipynb](https://github.com/AidinZe/FRAKE/tree/main/example) file
urli 0.2.2
Check and fix URLs in text files
License: MIT
Requires Python: >=3.7

<p align="center">
  <a href="https://github.com/nschloe/urli"><img alt="urli" src="https://nschloe.github.io/urli/logo.svg" width="60%"></a>
  <p align="center">The urli bird catches the worm.</p>
</p>

[![PyPi Version](https://img.shields.io/pypi/v/urli.svg?style=flat-square)](https://pypi.org/project/urli/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/urli.svg?style=flat-square)](https://pypi.org/project/urli/)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/urli.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/urli/)
[![PyPi downloads](https://img.shields.io/pypi/dm/urli.svg?style=flat-square)](https://pypistats.org/packages/urli)

[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/urli/ci?style=flat-square)](https://github.com/nschloe/urli/actions?query=workflow%3Aci)
[![codecov](https://img.shields.io/codecov/c/github/nschloe/urli.svg?style=flat-square)](https://app.codecov.io/gh/nschloe/urli)
[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/urli.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/urli)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)

Parses text files for HTTP URLs and checks if they are still valid. Install with
```
pip install urli
```
and use as
```sh
urli-check README.md   # or multiple files/directories
```
To explicitly allow or ignore certain URLs, use
```
urli-check README.md -a http: -i stackoverflow.com github
```
This only considers URLs containing `http:` and _not_ containing `stackoverflow.com` or
`github`. You can also place allow and ignore lists in the config file
`~/.config/urli/config.toml`, e.g.,
```toml
allow = [
  "https:"
]
ignore = [
  "stackoverflow.com",
  "math.stackexchange.com",
  "discord.gg",
  "doi.org"
]
```
See
```
urli-check -h
```
for all options. Use
```
urli-fix path-or-file
```
to replace redirects in ann files. The same filters as for `urli-check` apply.

Example output:

![](https://nschloe.github.io/urli/example-output-carbon.png)


### Logo art

Logo art by [b0red](https://pixabay.com/users/b0red-4473488/).


### License
urli is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).