// Run runs n mancala.Games where agent1 plays as player 1 against agent 2 who
// plays as player 2.
func Run(
agent1Constructor, agent2Constructor ai.AgentConstructor,
n int,
) *Result {
result := NewResult(agent1Constructor(), agent2Constructor())
for i := 0; i < n; i++ {
result.add(
mancala.FinishGame(
agent1Constructor(),
agent2Constructor(),
),
)
}
return result
}
func Example() {
result := mancala.FinishGame(ExamplePlayer{}, ExamplePlayer{})
fmt.Println(result)
// Output:
// 5 4 3 2 1 0
// <----------------
// Player 1 0 0 0 0 0 1
// 0 0 0 0 0 5 Player 2
// ---------------->
// 0 1 2 3 4 5
//
// Player 1 Score: 15
// Player 2 Score: 27
//
// Result of last move:
// Last move: 4
// Move count: 84
}
// TestFinishGame tests that mancala.FinishGame returns the mancala.Result from
// the beginning of a mancala.Game described by a shortPlayer.
func TestFinishGame(t *testing.T) {
t.Parallel()
player1 := newShortPlayer(mancala.Player1)
player2 := newShortPlayer(mancala.Player2)
actual := mancala.FinishGame(player1, player2)
expected := mancala.NewResult(
player1.expectedBoard(),
player1.expectedWinner(),
player1.expectedMoveCount(),
player1.expectedLastMove(),
nil,
)
if actual != expected {
t.Errorf(
"FinishGame(\n\t%v, \n\t%v,\n) = \n%v, want \n%v",
player1,
player2,
actual,
expected,
)
}
}
// BenchmarkMancala runs 10000 Oware games with fastPlayers.
//
// The benchmark should be used to profile the platform. The goal after
// profiling will be to reduce memory allocations and decrease run time.
func BenchmarkMancala(b *testing.B) {
for i := 0; i < 10000; i++ {
mancala.FinishGame(fastPlayer{}, fastPlayer{})
}
}
