semvec/pypi-packages huggingface dataset:
ls.py 0.0.1
Python implementation of the common unix `ls` command
Requires Python: >=3.6

# py-ls

Python implementation of `ls` command

## **`ls is a command to list computer files in Unix and Unix-like operating systems.`**

## Usage

_`pip install py-ls`_

- in terminal
  ```py
  python -u ls.py
  ```
- importing as a function
  ```py
  import getDirList from py-ls
  ```
django-gnupg-mails 0.4.0
A Django reusable app providing the ability to send PGP/MIME signed multipart emails.
Requires Python: >=3.5

Created by `Jan Dittberner <http://twitter.com/jandd>`_

Introduction
============

django-gnupg-mails provides a class gnupg_mails.message.GnuPGMessage that
extends Django's django.core.mail.EmailMessage with the functionality to send
PGP/MIME signed emails.

  * Documentation: http://django-gnupg-mails.readthedocs.org/
  * Source: https://github.com/jandd/django-gnupg-mails


Dependencies
============

  * `gnupg <https://pypi.python.org/pypi/python-gnupg>`_ is required for
    signing the mails


Installation
============

The easiest way to install django-gnupg-mails is directly from PyPI using `pip
<http://www.pip-installer.org/>`_ by running the command below::

    $ pip install -U django-gnupg-mails

Otherwise you can download django-gnupg-mails and install it directly from
source::

    $ python setup.py install


Usage
=====

Define settings.GNUPG_HOMEDIR to point to a GnuPG home directory containing a
private key with signing capabilities.

Instead of using Django's EmailMessage you can just use
gnupg_mails.message.GnuPGMessage. The class is a drop-in replacement and can
used in the same way as the original class as documented in `The Django
documentation
<https://docs.djangoproject.com/en/dev/topics/email/#the-emailmessage-class>`_.


Similar packages
================

You may want to have a look at `django-email-extras
<https://github.com/stephenmcd/django-email-extras>`_ by Stephen McDonald for
other GnuPG related functionality. Stephen's package allows sending PGP
encrypted mail and provides a nice email test backend.
jsoninput 0.0.2
A utility for loading and checking JSON files against a schema
Requires Python: >=3.7

# json-input

A utility for loading and checking JSON files against a schema.

[![PyPI](https://img.shields.io/pypi/v/jsoninput)](https://pypi.org/project/jsoninput/) [![Conda](https://img.shields.io/conda/v/hallrc/jsoninput)](https://anaconda.org/hallrc/jsoninput) 

## Installation

PIP:
``` plaintext
pip install jsoninput
```

Conda:
``` plaintext
conda install -c hallrc jsoninput
```
fastBloomFilter 0.0.11
A fast and simple probabilistic bloom filter that supports compression

[![Libraries.io SourceRank](https://badges.weareopensource.me/librariesio/sourcerank/pypi/fastBloomFilter)](https://libraries.io/pypi/fastBloomFilter)
![lint_python](https://github.com/daedalus/fastBloomFilter/workflows/lint_python/badge.svg)
![CodeQL](https://github.com/daedalus/fastBloomFilter/workflows/CodeQL/badge.svg)
[![GitHub issues](https://img.shields.io/github/issues/daedalus/fastBloomFilter.svg)](https://github.com/daedalus/fastBloomFilter/issues)
[![GitHub forks](https://img.shields.io/github/forks/daedalus/fastBloomFilter.svg)](https://github.com/daedalus/fastBloomFilter/network)
[![GitHub stars](https://img.shields.io/github/stars/daedalus/fastBloomFilter.svg)](https://github.com/daedalus/fastBloomFilter/stargazers)
[![GitHub license](https://img.shields.io/github/license/daedalus/fastBloomFilter.svg)](https://github.com/daedalus/fastBloomFilter)

# Simple and fast pythonic bloomfilter

From wikipedia: "A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is a member of a set. False positive matches are possible, but false negatives are not – in other words, a query returns either "possibly in set" or "definitely not in set". Elements can be added to the set, but not removed (though this can be addressed with a "counting" filter); the more elements that are added to the set, the larger the probability of false positives."


### This filter supports: ###

```
- Saving, reloading, compressed bloomfilter file lrzip like
        for compression: lz4>lzo>zlib>bz2>lzma
        for decompression: lzma>bz2>zlib>lzo>lz4
- Stats
- Entropy analysis
- Internal and external hashing of data.
- raw filter merging
```


### Installing: ###

```
sudo pip install fastbloomfilter
```

### External creating of the bloom filter file: ###

```
python mkbloom.py /tmp/filter.blf
```

### Importing: ###

```
from fastBloomFilter import bloom
bf = bloom.BloomFilter(filename='/tmp/filter.blf')
```

### Adding data to it: ###

```
bf.add('30000')
bf.add('1230213')
bf.add('1')
```
    
### Adding data and at the same time querying it: ###

```
print(bf.update('1')) # True
print(bf.update('1')) # True
print(bf.update('2')) # False
print(bf.update('2')) # True
```

### Printing stats: ###

```
bf.stat()
```
   
Or:

```
bf.info()
```

### Querying data: ###

```
print(bf.query('1')) # True
print(bf.query('1230213')) # True
print(bf.query('12')) # False
```   

```
Contributons:
    Are welcome!
```