In [1]:

    

import numpy as np


    

In [2]:

    

from game_tools import Player, NormalFormGame


    

In [3]:

    

U = np.array([[[(3, 3, 3), (6, 4, 1)],
               [(4, 1, 6), (2, 5, 0)]],
              [[(1, 6, 4), (0, 2, 5)],
               [(5, 0, 2), (7, 7, 7)]]])


    

In [4]:

    

g0 = NormalFormGame(U)


    

In [5]:

    

for i in range(3):
    print 'player {0}'.format(i)
    print g0.players[i].payoff_array


    

    




player 0
[[[3 6]
  [4 2]]

 [[1 0]
  [5 7]]]
player 1
[[[3 6]
  [4 2]]

 [[1 0]
  [5 7]]]
player 2
[[[3 6]
  [4 2]]

 [[1 0]
  [5 7]]]

In [6]:

    

g0.players[i].payoff_array


    

    
Out[6]:





array([[[3, 6],
        [4, 2]],

       [[1, 0],
        [5, 7]]])

In [7]:

    

g0[0, 0, 0]


    

    
Out[7]:





[3, 3, 3]

In [8]:

    

g0[0, 0, 1]


    

    
Out[8]:





[6, 4, 1]

In [9]:

    

import itertools
actions_list = [range(player.num_actions) for player in g0.players]
for action_profile in itertools.product(*actions_list):
    print 'payoff_profile{0} ='.format(action_profile), g0[action_profile]


    

    




payoff_profile(0, 0, 0) = [3, 3, 3]
payoff_profile(0, 0, 1) = [6, 4, 1]
payoff_profile(0, 1, 0) = [4, 1, 6]
payoff_profile(0, 1, 1) = [2, 5, 0]
payoff_profile(1, 0, 0) = [1, 6, 4]
payoff_profile(1, 0, 1) = [0, 2, 5]
payoff_profile(1, 1, 0) = [5, 0, 2]
payoff_profile(1, 1, 1) = [7, 7, 7]

In [10]:

    

p0 = Player(np.zeros((2*3*4)).reshape((2, 3, 4)))
p1 = Player(np.zeros((2*3*4)).reshape((3, 4, 2)))
p2 = Player(np.zeros((2*3*4)).reshape((4, 2, 3)))


    

In [11]:

    

g1 = NormalFormGame((p0, p1, p2))


    

In [12]:

    

for i in range(3):
    print 'player {0}'.format(i)
    print g1.players[i].payoff_array


    

    




player 0
[[[ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]]

 [[ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]]]
player 1
[[[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]

 [[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]

 [[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]]
player 2
[[[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]]

In [13]:

    

import itertools
actions_list = [range(player.num_actions) for player in g1.players]
for action_profile in itertools.product(*actions_list):
    print 'payoff_profile{0} ='.format(action_profile), g1[action_profile]


    

    




payoff_profile(0, 0, 0) = [0.0, 0.0, 0.0]
payoff_profile(0, 0, 1) = [0.0, 0.0, 0.0]
payoff_profile(0, 0, 2) = [0.0, 0.0, 0.0]
payoff_profile(0, 0, 3) = [0.0, 0.0, 0.0]
payoff_profile(0, 1, 0) = [0.0, 0.0, 0.0]
payoff_profile(0, 1, 1) = [0.0, 0.0, 0.0]
payoff_profile(0, 1, 2) = [0.0, 0.0, 0.0]
payoff_profile(0, 1, 3) = [0.0, 0.0, 0.0]
payoff_profile(0, 2, 0) = [0.0, 0.0, 0.0]
payoff_profile(0, 2, 1) = [0.0, 0.0, 0.0]
payoff_profile(0, 2, 2) = [0.0, 0.0, 0.0]
payoff_profile(0, 2, 3) = [0.0, 0.0, 0.0]
payoff_profile(1, 0, 0) = [0.0, 0.0, 0.0]
payoff_profile(1, 0, 1) = [0.0, 0.0, 0.0]
payoff_profile(1, 0, 2) = [0.0, 0.0, 0.0]
payoff_profile(1, 0, 3) = [0.0, 0.0, 0.0]
payoff_profile(1, 1, 0) = [0.0, 0.0, 0.0]
payoff_profile(1, 1, 1) = [0.0, 0.0, 0.0]
payoff_profile(1, 1, 2) = [0.0, 0.0, 0.0]
payoff_profile(1, 1, 3) = [0.0, 0.0, 0.0]
payoff_profile(1, 2, 0) = [0.0, 0.0, 0.0]
payoff_profile(1, 2, 1) = [0.0, 0.0, 0.0]
payoff_profile(1, 2, 2) = [0.0, 0.0, 0.0]
payoff_profile(1, 2, 3) = [0.0, 0.0, 0.0]

In [14]:

    

g2 = NormalFormGame((2, 3, 4))


    

In [15]:

    

for i in range(3):
    print 'player {0}'.format(i)
    print g2.players[i].payoff_array


    

    




player 0
[[[ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]]

 [[ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]
  [ 0.  0.  0.  0.]]]
player 1
[[[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]

 [[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]

 [[ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]
  [ 0.  0.]]]
player 2
[[[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]

 [[ 0.  0.  0.]
  [ 0.  0.  0.]]]

In [16]:

    

g3 = NormalFormGame(3)


    

In [17]:

    

g3.N


    

    
Out[17]:





1

In [18]:

    

g3.players[0].payoff_array


    

    
Out[18]:





array([ 0.,  0.,  0.])

In [ ]: