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import numpy as np

class Table:

"""

Simple storage class for single agent and it's board. Provides plotting utilities but does not

tackle actions or agent messages. Also stores performance measure and random board generator.

"""

def __init__(self, agent, queens):

self.perf = 0

self.board = self.randomize_board(queens)

self.agent = agent

self.name = agent.send(None)

self.message = ""

def randomize_board(self, queens):

self.board = np.random.randint(0, queens - 1, queens)

self.perf = 0

return self.board

def plot_board(self):

print("--" * (len(self.board) + 2))

for row in self.board:

print(str(row) + " " + " " * row + "x")

print("--" * (len(self.board) + 2))

def print_board(self):

print(self.board.tolist())