def run(agent, exact):
black, white = 0, 0
history = []
guess = agent.start()
while True:
black, white = evaluate(guess, exact)
history.append((guess, (black, white)))
print ' '.join(map(str, guess)) , ' -- ', black , white
if (black, white)==(4, 0):
break
guess = agent.guess(guess, black, white)
return len(history)
def human_game():
exact = random_hand()
while True:
in_ = raw_input()
if in_=='end':
print 'not valid'
continue
guess = [int(l) for l in in_ if l.isdigit()]
if not valid(guess):
print 'not valid'
continue
result = evaluate(guess, exact)
if result==(4, 0):
print 'right!', exact
return
print result
def test_evaluate():
assert evaluate((1,2,3,4), (2,1,3,6))==(1,2)
assert evaluate((1,2,3,4), (1,2,3,4))==(4,0)
assert evaluate((1,2,3,4), (5,6,7,8))==(0,0)
assert evaluate((1,2,3,4), (2,3,5,6))==(0,2)
def genetic_choice_func(E, constraints):
return min(E, key=lambda comb: mm.evaluate(constraints, comb))
def guess(self, number, black, white):
self._pool = tuple(exact
for exact in self._pool
if evaluate(number, exact)==(black, white))
return choice(self._pool)
