def test_givenObstacleVeryFarFromPlayer_thenTrajectoryScoreReturnsMultiplicativeNullValue(
self):
self._define_points_obstacle((100, 100), (200, 200), (1500, 1500))
assert trajectory_score(
self.start_point, self.goal,
self.obstacle) == self.MULTIPLICATIVE_NULL_VALUE
def test_givenTwoPlayerInOtherTeamNearGoal_thenLineOfSightClearanceIsDistanceToTargetTimesBothPathScores(
self):
player1 = self._build_mock_player(Position(100, 100), 1)
player2 = self._build_mock_player(Position(130, 130), 2)
player3 = self._build_mock_player(Position(160, 170), 3)
self.goal.x, self.goal.y = (200, 200)
self._create_mock_teams({player1.id: player1}, {
player2.id: player2,
player3.id: player3
})
distance_to_target = np.linalg.norm(player1.pose.position - self.goal)
path_score_to_p2 = trajectory_score(player1.pose.position, self.goal,
player2.pose.position)
path_score_to_p3 = trajectory_score(player1.pose.position, self.goal,
player3.pose.position)
assert line_of_sight_clearance(
player1, self.goal
) == distance_to_target * path_score_to_p2 * path_score_to_p3
def test_givenOnePlayerInMyTeamNearFromGoal_thenLineOfSightClearanceIsDistanceToTargetTimesPathScore(
self):
player1 = self._build_mock_player(Position(100, 100), 1)
player2 = self._build_mock_player(Position(130, 130), 2)
self.goal.x, self.goal.y = (200, 200)
self._create_mock_teams({player1.id: player1, player2.id: player2}, {})
distance_to_target = np.linalg.norm(player1.pose.position - self.goal)
path_score = trajectory_score(player1.pose.position, self.goal,
player2.pose.position)
assert line_of_sight_clearance(
player1, self.goal) == distance_to_target * path_score
def test_givenObstacleOnPath_thenTrajectoryScoreReturnsMaxValue(self):
self._define_points_obstacle((100, 100), (200, 200), (150, 150))
assert trajectory_score(self.start_point, self.goal, self.obstacle) == self.MAX_VALUE
def test_givenObstacleVeryFarFromPlayer_thenTrajectoryScoreReturnsMultiplicativeNullValue(self):
self._define_points_obstacle((100, 100), (200, 200), (1500, 1500))
assert trajectory_score(self.start_point, self.goal, self.obstacle) == self.MULTIPLICATIVE_NULL_VALUE
def test_givenObstacleOnPath_thenTrajectoryScoreReturnsMaxValue(self):
self._define_points_obstacle((100, 100), (200, 200), (150, 150))
assert trajectory_score(self.start_point, self.goal,
self.obstacle) == self.MAX_VALUE
