queueCrypt.

"queueCrypt" is a library that is library that creates a queue and secures it better. Basically this library encrypts the data that is been added to the queue and saves the data securely and safely.

Libraries Needed:

pip install cryptography

this library is needed to encrypt the data. Without this library the library won't work!

How To Call The Library?

from queueCrypt import Queue

To Call The Errors Exceptions Use:

from queueCrypt import ErrorQueueSizeNotValid, ErrorRequestedHigherThanExpected
#----OR----#
from queueCrypt.errors import *

To Call The Encryption Handler Use:

from queueCrypt.ext import Encryption
#----OR----#
from queueCrypt.ext import *

First Thing That Needed Before Using...

from queueCrypt import *

q = Queue(5)
#----OR----#
q = Queue()

Every time that you create the Queue function you can set Queue(number) or use Queue() which will leave the queue with no limit. By setting a number, you set the queue length, that can be changed if you need by using q.change_queue_length(number).

Examples:

• Let's create a secret input from the user that takes passwords and encrypts them. The user will type the passwords until he will type "quit". After adding them to the queue, print the encrypted list, and the decrypted list.

from queueCrypt import *

q = Queue()

while True:
    user = input("Type passwords: ")
    if user == "quit":
        break
    # When putting the user data you need to convert it to bytes!
    q.put(bytes(user, 'utf8'))

# returns in bytes form.
print(q.get_queue_encrypted())
print(q.get_queue_decrypted())

• Now let's say that you want to encrypt the data again but after printing the inputted data, you return the encrypted data and delete it.

from queueCrypt import *

q = Queue()

while True:
    user = input("Type passwords: ")
    if user == "quit":
        break

    # When putting the user data you need to convert it to bytes!
    q.put(bytes(user, 'utf8'))
    print(q.get_queue_encrypted()[0].decode())
    # destroys the first element in the queue list with timeout of 0.1.
    q.next_and_destroy(0.1)