import pytest
from src.user_keypad import UserKeypad
from src.models import KeypadSize


@pytest.fixture()
def user_keypad():
    return UserKeypad.create(keypad_size=KeypadSize(props_per_key=7, numb_of_keys=10))


def test_dispersion(user_keypad):
    for _ in range(10000):
        pre_dispersion_graph = user_keypad.attribute_adjacency_graph()
        user_keypad.disperse_keypad()
        post_dispersion_graph = user_keypad.attribute_adjacency_graph()
        for attr, adj_graph in pre_dispersion_graph.items():
            assert (adj_graph.isdisjoint(post_dispersion_graph[attr]))


def test_shuffle_attrs(user_keypad):
    """there's no easy way to test this. At some point we'll have to run this code thousands of time to see if we get
    expected statistical outcomes like:
    - every attribute gets to every key with a uniform distribution
    - every attribute is adjacent to every other attribute with uniform distribution
    - the order in which the customer_cipher move from key to key is random (i.e. the distance traveled is uniform)
    """
    pre_shuffle_keypad = user_keypad.keypad
    user_keypad.partial_keypad_shuffle()
    post_shuffle_keypad = user_keypad.keypad
    assert (not all(
        post_shuffle_keypad[idx] == pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
    ))
    assert (not all(
        post_shuffle_keypad[idx] != pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
    ))