semvec/pypi-packages huggingface dataset:
aich 0.0.5
Encrypt Words From Any Language. Get Token In Hindi.

# AICH-Encryption
 Encryption Algorithm for All Languages. Generates a Token In Hindi. 

# Installation
sudo pip install aich

# Usage
from a2 import aich

search_word = input('Enter your encryption phrase:')

encrypted = aich.aichin(search_word)

print (encrypted)

search_word = input('Enter your decryption phrase:')

encrypted = aich.aichout(search_word)

print (encrypted)

# Encryption Example
{Inputs: This is freedom ये है आज़ादी , Outputs: षनफदपफदशफखकफयमफदशफखकफयमफददफखयफदषफदषफदनफदगफदतफयमफशयगफशनखफयमफशकशफशनपफयमफशमदफशणटफशकटफशकएफशयदफशनम}
{Inputs: AICH , Outputs: नणफनशफनकफनप}

# Decryption Example
{Inputs: षनफदपफदशफखकफयमफदशफखकफयमफददफखयफदषफदषफदनफदगफदतफयमफशयगफशनखफयमफशकशफशनपफयमफशमदफशणटफशकटफशकएफशयदफशनम, Outputs: This is freedom ये है आज़ादी}
{Inputs: नणफनशफनकफनप , Outputs: AICH}
jaccard-precalc 0.1.6
The Jaccard index measures exhaustive substring comparison of two strings. This package is a slightly modified Jaccard with pre-calculation accelerate results.
Requires Python: >=3.5,<4.0

# Jaccard Precalculated String Matcher

The Jaccard index measures exhaustive substring comparison of two strings. This package is a slightly modified Jaccard with pre-calculation accelerate results.

```python3
    from jaccard_precalc.JaccardPrecalc import JaccardPrecalc
    string_list = ['Andrew Matte, 123 Main St, Toronto, Canada']
    jac = JaccardPrecalc(string_list)
    # jac.search(query_string, number_of_results)
    results = jac.search('Andy Matte, Toronto, CA', 1) # returns a list of dicts where each dict is {input: score}, sorted by top score

```