本文整理汇总了Python中inventory.Inventory.shortage方法的典型用法代码示例。如果您正苦于以下问题：Python Inventory.shortage方法的具体用法？Python Inventory.shortage怎么用？Python Inventory.shortage使用的例子？那么恭喜您, 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inventory.Inventory的用法示例。
在下文中一共展示了Inventory.shortage方法的1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: Agent
# 需要导入模块: from inventory import Inventory [as 别名]
# 或者: from inventory.Inventory import shortage [as 别名]
class Agent(object):
newid = itertools.count()
SIGNIFICANT = .25
LOW_INVENTORY = .1
HIGH_INVENTORY = 2
def __init__(self, class_name, id=None):
# Each agent has a unique id... should probably get rid of this and just let logic handle it
if not id:
self.id = next(Agent.newid)
else:
self.id = id
self.class_name = class_name
self.price_beliefs = {}
self.observed_trading_range = {}
self.inventory = Inventory()
# FIXME: Using preloaded test values, this should be changed later
self.money = 100
self.price_beliefs = {key: {'min':.5, 'max':1.5} for key in self.inventory.goods}
self.observed_trading_range = {key: [] for key in self.inventory.goods} # was keys
self.lookback = 15
# Add two fake trades so range exists
for trade_range in self.observed_trading_range.values():
trade_range.append(.5)
trade_range.append(1.5)
# This is temporary
self.load_logic(manual_logic.agent_logic_data)
def create_bid(self, market, good, limit):
bid_price = self.determine_price_of(good)
ideal = self.determine_purchase_quantity(market, good)
#input('ideal {} limit {}'.format(ideal, limit))
# Can't buy more than the limit
if limit < ideal:
quantity_to_buy = limit
else:
quantity_to_buy = ideal
if quantity_to_buy > 0:
return Offer(self.id, good, quantity_to_buy, bid_price)
return None
def create_ask(self, market, good, limit):
ask_price = self.determine_price_of(good)
ideal = self.determine_sale_quantity(market, good)
# must sell at least the limit
if limit > ideal:
quantity_to_sell = limit
else:
quantity_to_sell = ideal
if quantity_to_sell > 0:
return Offer(self.id, good, quantity_to_sell, ask_price)
return None
def generate_offer(self, market, good):
if self.inventory.surplus(good):
offer = self.create_ask(market, good, 1)
if offer:
market.ask_book[good].append(offer)
else:
shortage = self.inventory.shortage(good)
# TODO: Look in original here, at this point there is logic done to check if there
# is space in inventory
if shortage:
offer = self.create_bid(market, good, shortage) # for now no now limit, this will change
if offer:
market.bid_book[good].append(offer)
def determine_price_of(self, good):
belief = self.price_beliefs[good]
return random.uniform(belief['min'], belief['max'])
def determine_sale_quantity(self, market, good):
# TODO: probably could combine determine sale and determine purchase into one method
mean = market.history.prices.average(good, self.lookback)
trade_range = self.observe_trade_range(good)
if trade_range:
# TODO: clean this up and create a method for it
mean -= trade_range['min']
trade_range['max'] -= trade_range['min']
try:
favorability = mean / trade_range['max'] # Determine where mean falls in trade range
#.........这里部分代码省略.........