本文整理汇总了Python中animal.Animal.lifetime_payoff方法的典型用法代码示例。如果您正苦于以下问题：Python Animal.lifetime_payoff方法的具体用法？Python Animal.lifetime_payoff怎么用？Python Animal.lifetime_payoff使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类animal.Animal的用法示例。
在下文中一共展示了Animal.lifetime_payoff方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Environment
# 需要导入模块: from animal import Animal [as 别名]
# 或者: from animal.Animal import lifetime_payoff [as 别名]
# Create an Environment
R, P, A, B, O = 10, 0.5, 1, 0.5, 0
test_env = Environment(R,P,A,B,O,name="Test environment")
# Evaluate the state of the environment at a given time
t = 10
E,C = test_env.evaluate(t)
# E and C must be of type list of float to allow for multiple environments
# Consider three equal environments:
E,C = np.array([E,E,E]), np.array([C,C,C])
# Let the animals react to the environment
random_duck.react(E,C)
# Access some information about the animal
print(random_duck.mismatch)
print(random_duck.lifetime_payoff(np.array([1000])))
# Create some more animals and combine them to a Population
more_ducks = [Animal(),Animal(),Animal()]
duck_population = Population(len(more_ducks),more_ducks)
# Make them react to the environment and breed with variable population size
duck_population.react(E,C)
duck_population.breed_variable()
# Display the new size of the population
print(duck_population.size())