本文整理匯總了Python中market.Market.agents方法的典型用法代碼示例。如果您正苦於以下問題：Python Market.agents方法的具體用法？Python Market.agents怎麽用？Python Market.agents使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類market.Market的用法示例。
在下文中一共展示了Market.agents方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: main
# 需要導入模塊: from market import Market [as 別名]
# 或者: from market.Market import agents [as 別名]
def main():
clear()
print('Initializing Test...')
print('Creating Agents...')
agent_types = ['miner', 'farmer', 'refiner', 'woodcutter', 'blacksmith']
agents = [Agent(random.choice(agent_types)) for i in range(100)] # 100 random angets
agents = {agent.id: agent for agent in agents}
# Debug Printing
#print('Sample Agents...')
#for agent in agents[:10]:
# print(agent)
input('Hit any key to continue...')
print('Creating Market...')
market = Market()
market.agents = agents #This needs to be part of the api for Market class
for i in range(50): #10 rounds of market simulation
clear()
market.simulate()
report = market.market_report()
print(report)
report = market.agent_report()
print(report)
input('Hit any key to continue...')示例2: build_market
# 需要導入模塊: from market import Market [as 別名]
# 或者: from market.Market import agents [as 別名]
def build_market(num_agents):
""" This returns a market with the number of agents from the parameter
right now, 100,000 agents is about the most it can handle. I was able to create a market with 500,000
but one round of market.simulate() took over a minute. 1,000,000 agents couldn't even be created."""
agent_types = ['miner', 'farmer', 'refiner', 'woodcutter', 'blacksmith']
agents = [Agent(random.choice(agent_types)) for i in range(num_agents)] # 100 random angets
agents = {agent.id: agent for agent in agents}
market = Market()
market.agents = agents
return market示例3: hist_test
# 需要導入模塊: from market import Market [as 別名]
# 或者: from market.Market import agents [as 別名]
def hist_test(rounds=1):
agent_types = ['miner', 'farmer', 'refiner', 'woodcutter', 'blacksmith']
agents = [Agent(random.choice(agent_types)) for i in range(100)] # 100 random angets
agents = {agent.id: agent for agent in agents}
market = Market()
market.agents = agents
for i in range(rounds): #10 rounds of market simulation
market.simulate()
return market.history.export()