class Climber:
def __init__(self, config):
self.config = config
gps = GPS(config)
measure = Measure()
self.mobile = Mobile(gps, measure, config)
self.step = config['step']
def toward_summit(self):
while self.mobile.goal is False:
direction = self.mobile.guide()
new_alpha, new_beta, new_maxlike, new_score = self._walk(direction)
self.mobile.assess_results(new_alpha, new_beta, new_maxlike,
new_score)
def _walk(self, direction):
if direction == 'alpha':
new_alpha, new_beta, new_maxlike, new_score = self._set_alpha()
return new_alpha, new_beta, new_maxlike, new_score
elif direction == 'beta':
new_alpha, new_beta, new_maxlike, new_score = self._set_beta()
return new_alpha, new_beta, new_maxlike, new_score
def _set_alpha(self):
alpha_up = self.mobile.gps.alpha + self.step
alpha_down = self.mobile.gps.alpha - self.step
new_beta = None
maxlike_up, score_up = self.__run_machine(alpha_up,
self.mobile.gps.beta)
maxlike_down, score_down = self.__run_machine(alpha_down,
self.mobile.gps.beta)
if score_up > score_down:
new_alpha = alpha_up
new_maxlike = maxlike_up
new_score = score_up
else:
new_alpha = alpha_up
new_maxlike = maxlike_down
new_score = score_down
return new_alpha, new_beta, new_maxlike, new_score
def _set_beta(self):
beta_up = self.mobile.gps.beta + self.step
beta_down = self.mobile.gps.beta - self.step
new_alpha = None
maxlike_up, score_up = self.__run_machine(self.mobile.gps.alpha,
beta_up)
maxlike_down, score_down = self.__run_machine(self.mobile.gps.alpha,
beta_down)
if maxlike_up > maxlike_down:
new_beta = beta_up
new_maxlike = maxlike_up
new_score = score_up
else:
new_beta = beta_down
new_maxlike = maxlike_down
new_score = score_down
return new_alpha, new_beta, new_maxlike, new_score
def __run_machine(self, alpha, beta):
if str((alpha, beta)) not in self.mobile.memory.keys():
machine = Machine(self.config)
machine.run(alpha, beta)
score = machine.score
maxlike = machine.maxlike
self.mobile.memory[str((alpha, beta))] = (maxlike, score)
return maxlike, score
else:
print('machine already been here')
maxlike = self.mobile.memory[str((alpha, beta))][0]
score = self.mobile.memory[str((alpha, beta))][1]
return maxlike, score
