import numpy as np
from axelrod.actions import Actions, Action
from axelrod.player import Player
from axelrod.load_data_ import load_weights
from typing import List, Tuple
C, D = Actions.C, Actions.D
nn_weights = load_weights()
# Neural Network and Activation functions
relu = np.vectorize(lambda x: max(x, 0))
def compute_features(player: Player, opponent: Player) -> List[int]:
"""
Compute history features for Neural Network:
* Opponent's first move is C
* Opponent's first move is D
* Opponent's second move is C
* Opponent's second move is D
* Player's previous move is C
* Player's previous move is D
* Player's second previous move is C
* Player's second previous move is D
* Opponent's previous move is C
* Opponent's previous move is D
* Opponent's second previous move is C
* Opponent's second previous move is D
from typing import List, Tuple
import numpy as np
from axelrod.action import Action
from axelrod.load_data_ import load_weights
from axelrod.player import Player
C, D = Action.C, Action.D
nn_weights = load_weights()
# Neural Network and Activation functions
relu = np.vectorize(lambda x: max(x, 0))
def compute_features(player: Player, opponent: Player) -> List[int]:
"""
Compute history features for Neural Network:
* Opponent's first move is C
* Opponent's first move is D
* Opponent's second move is C
* Opponent's second move is D
* Player's previous move is C
* Player's previous move is D
* Player's second previous move is C
* Player's second previous move is D
* Opponent's previous move is C
* Opponent's previous move is D
* Opponent's second previous move is C
* Opponent's second previous move is D
* Total opponent cooperations
