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test_utils.py
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from unittest.mock import patch
import numpy as np
import pytest
from scripts.utils import (check_basic_win_condition_for_blue_player, check_basic_win_condition_for_red_player,
encode_position, get_hex_neighbourhood, get_winner)
from scripts.utils import negamax_alpha_beta_pruned_with_transposition_tables as negamax
# a1 b1 c1
# a2 b2 c2
# a3 b3 c3
# a1 b1 c1 d1
# a2 b2 c2 d2
# a3 b3 c3 d3
# a4 b4 c4 d4
@pytest.mark.parametrize("list_of_moves, size, is_fulfilled", [
([], 1, False),
([], 5, False),
(['a1'], 1, True),
(['a1'], 2, False),
(['a1', 'a2'], 2, False),
(['a1', 'b1'], 2, True),
(['a1', 'b2', 'c3', 'd2', 'e1'], 5, True),
(['a1', 'b2', 'c3', 'd2', 'd3'], 5, False),
])
def test_check_basic_win_condition_for_blue_player(list_of_moves, size, is_fulfilled):
list_of_moves = list(map(encode_position, list_of_moves))
assert check_basic_win_condition_for_blue_player(list_of_moves, size) == is_fulfilled
@pytest.mark.parametrize("list_of_moves, size, is_fulfilled", [
([], 1, False),
([], 5, False),
(['a1'], 1, True),
(['a1'], 2, False),
(['a1', 'b1'], 2, False),
(['a1', 'a2'], 2, True),
(['a1', 'b2', 'c3', 'b4', 'a5'], 5, True),
(['a1', 'b2', 'c3', 'b4', 'a4'], 5, False),
])
def test_check_basic_win_condition_for_red_player(list_of_moves, size, is_fulfilled):
list_of_moves = list(map(encode_position, list_of_moves))
assert check_basic_win_condition_for_red_player(list_of_moves, size) == is_fulfilled
@pytest.mark.parametrize("position, neighbours", [
('b2', ['b1', 'c1', 'c2', 'b3', 'a3', 'a2']),
])
def test_get_hex_neighbourhood(position, neighbours):
position = encode_position(position)
neighbours = list(map(encode_position, neighbours))
assert set(get_hex_neighbourhood(position)) == set(neighbours)
@pytest.mark.parametrize("red_moves, blue_moves, last_move, size, winner", [
(
['b1', 'b2', 'a1', 'a3'],
['c1', 'c2', 'a2'],
'a3',
3,
1
),
(
['a1', 'b1'],
['c1', 'b2', 'a2'],
'a2',
3,
-1
),
(
['a1', 'b1'],
['c1'],
'a1',
3,
None
),
(
[],
['c1'],
'c1',
3,
None
),
])
def test_get_winner(red_moves, blue_moves, last_move, size, winner):
red_moves = list(map(encode_position, red_moves))
blue_moves = list(map(encode_position, blue_moves))
last_move = encode_position(last_move)
assert get_winner(red_moves, blue_moves, last_move, size) == winner
@patch.dict('scripts.utils.TRANSPOSITION_TABLE', {})
@pytest.mark.parametrize("player, red_moves, blue_moves, last_move, size, score", [
(
1,
['b1', 'b2'],
['c1', 'c2'],
'c2',
3,
1
),
(
-1,
['b1', 'b2', 'a1'],
['c1', 'c2'],
'a1',
3,
-1
),
(
1,
['b1', 'b2', 'a1'],
['c1', 'c2', 'a2'],
'a2',
3,
1
),
(
-1,
['b1', 'b2', 'a1', 'a3'],
['c1', 'c2', 'a2'],
'a3',
3,
-1
),
(
1,
['b1', 'b2', 'a1'],
['c1', 'c2', 'b3'],
'b3',
3,
1
),
(
-1,
['b1', 'b2', 'a1'],
['c1', 'c2', 'b3'],
'a1',
3,
1
),
(
1,
['a1', 'b1'],
['c1', 'c2', 'b3'],
'b3',
3,
1
),
(
-1,
['a1', 'b1'],
['c1'],
'a1',
3,
1
),
(
-1,
['a1'],
[],
'a1',
3,
1
),
(
1,
[],
[],
'',
3,
1
),
(
1,
['c1'],
['b2'],
'b2',
3,
1
),
(
1,
['c1', 'a2'],
['b2', 'a3'],
'a3',
3,
1
),
(
1,
['c1', 'a2', 'c2'],
['b2', 'a3', 'b3'],
'b3',
3,
1
),
(
1,
['c1', 'a2'],
['b2', 'a3'],
'a3',
4,
1
),
])
def test_negamax_predicts_score(player, red_moves, blue_moves, last_move, size, score):
red_moves = list(map(encode_position, red_moves))
blue_moves = list(map(encode_position, blue_moves))
last_move = encode_position(last_move) if last_move else tuple()
alpha, beta = -np.inf, np.inf
assert negamax(player, red_moves, blue_moves, last_move, alpha, beta, size)['score'] == score
@patch.dict('scripts.utils.TRANSPOSITION_TABLE', {})
@pytest.mark.parametrize("player, red_moves, blue_moves, last_move, size, move", [
(
1,
['b1', 'a3'],
['c2', 'b2'],
'b2',
3,
(1, 0)
),
(
1,
['c1', 'b3'],
['c2', 'c3', 'a2'],
'a2',
4,
(1, 1)
),
])
def test_negamax_predicts_move(player, red_moves, blue_moves, last_move, size, move):
red_moves = list(map(encode_position, red_moves))
blue_moves = list(map(encode_position, blue_moves))
last_move = encode_position(last_move)
alpha, beta = -np.inf, np.inf
assert negamax(player, red_moves, blue_moves, last_move, alpha, beta, size)['move'] == move