Impl of the teacher's testing program integration.

Closes #11

See merge request !9

The idea of our implementation is to add a proxy between the backend and the teacher's program since
our backend does not offer a websocket based API.
This proxy's duty is to offer such API and then forward the incoming requests from the tester
program to our backend.
We had to tweak the backend to add a couple new endpoints for the tester and also we had to tweak
the worker to accept range based hash submission (begin charset bound, end charset bound).
This does not break retrocompability and leave the legacy code intact !

TODO;
We should next consider adding new tests to keep the coverage reasonable.

updated readme & added licence

Closes #10

See merge request !8

updated our pipline cmds and our readme coverage anchor

Closes #9

See merge request !7

Resolve "Add tests & coverage badges"

Closes #6

See merge request !6

Resolve "Enhance frontend UI/UX"

Closes #7

See merge request !5

Add export functionality for our inputs/outputs of our md5raids.

Closes #8

See merge request !4

added an automatic scaler for our workers,

Closes #4

See merge request !3

first-impl-backend-frontend-worker-pipeline

Closes #1, #2, and #3

See merge request !2

add an export button to export the inputs and the outputs of automatic hash generation and submitting, make the input and
  output files be seperate this way the teacher can inject the inputs to his program and check if the outputs match

Updated the UI and the backend to send to the end user the scaler config information, this way the user can predict the assumed behavior

per worker rather then scale if pending_jobs_count > 5)

reviewed the frontend code, added some comments and notes, and a bit of logic change between the frontend and the backend, now we do not have the noisy 404 error in the UI console when the requested job is still in queue, we instead return 200 with a payload containing status=queued

review the worker's script, refactor, added some comments and notes, retested the whole system, everything works just fine !

Added some notes/todos for later on.
Small refactoring and retested the whole system. Everything is still working just fine!

Updated the frontend to properly handle the new jobs and stopped using useRef since it created a decoupled state from the react default
component state.
Updated the backend to add the scaler and enhanced the logic of scaling down the workers to check if the cluster is idle (no tasks in progress)
Updated the worker to log to a new channel of the redis logs informing the scaler that he is currently busy, thus the scaler will not kill him (scale down)

About to create a todo.txt file that will layout the upcoming changes