本文整理汇总了Python中market.Market.agents方法的典型用法代码示例。如果您正苦于以下问题：Python Market.agents方法的具体用法？Python Market.agents怎么用？Python Market.agents使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类market.Market的用法示例。
在下文中一共展示了Market.agents方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from market import Market [as 别名]
# 或者: from market.Market import agents [as 别名]
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
# 需要导入模块: from market import Market [as 别名]
# 或者: from market.Market import agents [as 别名]
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
# 需要导入模块: from market import Market [as 别名]
# 或者: from market.Market import agents [as 别名]
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()