semvec/pypi-packages huggingface dataset:
cocktail-wrapper 1.0.9
An unofficial asynchronous API wrapper for thecocktaildb.com.
Requires Python: >= 3.6
Keywords: api wrapper food cocktails asynchronous library free

Usage of search function:
```python
import cocktaildb 

async def tequila_info():
  return await cocktaildb.search(query='tequila')
```
Parameters include query, id, key, category, dict: bool, first_letter_only: bool, ingredient: bool, random: bool. 
All of which default to either None or False.

Lists of categories, ingredients etc. that may appear:
```python
import cocktaildb

# This is in literally a list, not in the form of a dict or string
async def list_of_categories():
  return await cocktaildb.categories()
```
There are more functions such as glasses() and ingredients().

This is a simple api wrapper that only supports free endpoints (for now atleast).
FNNH 0.0.6
A flexible CNN based Hash Function
Requires Python: >=3.6

# FNN-Hash (Flexible Neural Network - Hash)

A flexible **EXPERIMENTAL** Hashing algorithm that uses Neural Network architecture to calculate the Hash of a given string.

### Some Notes
* *the node activation function is a threshold gate.*
* *the number of nodes in inputlayer = 2 x no. of nodes in outout layer* 
* *and those number of nodes changed by user easily thus changing the size of hash generated.(max size = 1024 NOTE: 1024 size hash takes a lot of time so be patient when you request for a hash size of 1024)*

### Requirements

* make sure you have `NUMPY` (Thise was made on version `1.19.2`)

### HOW TO USE

1. Run the Command `pip install FNNH` in your python ENV.
2. and to use the algo write :
```python
from FNNH import FNNH

data = "qwerty"
sizeofhash = 16
rounds = 64

thehash = FNNH(data,sizeofhash,rounds)
```