import numpy as np
random_policy = np.ones([15,4 ])/4

import gym




for a, action_prob in enumerate(random_policy[1]):
    print(a)
    print(action_prob)
print(random_policy)
show(random_policy)
format(random_policy)
print(np.matrix(random_policy))

a=np.array([0,2,3,4,5])
a/sum(a)
format
for i in not ([1,2,5])
list = ([1,2,3])
a[list] = 2
a
a=2
print("running for ""a")

 from collections import defaultdict
2 = list
ice_cream2= defaultdict(lambda: 0)
type(ice_cream)
ice_cream2['Sarah']
ice_cream2[]
dict(ice_cream2)

f = lambda : list
f
list
np.argwhere(a)
