import numpy as np
import gym
from gym.spaces import MultiDiscrete
[docs]class MultiDiscreteExtended(MultiDiscrete):
'''
Currently, this class doesn't do anything special except allowing to seed from __init__().
'''
[docs] def __init__(self, nvec, seed=None):
super(MultiDiscreteExtended, self).__init__(nvec)
super(MultiDiscreteExtended, self).seed(seed=seed)
# def sample(self, prob=None, size=1, replace=True):
# sampled = np.squeeze(self.np_random.choice(self.n, size=size, p=prob, replace=replace))
# if sampled.shape == ():
# sampled = int(sampled) #TODO Just made it an int otherwise np.array(scalar) looks ugly in output.
# return sampled