def __set_agent_values__(self):
int_rate = self.model_params["int_rate"]
min_holding = self.model_params['min_holding']
init_cash = self.model_params['init_cash']
position = self.model_params['init_holding']
min_cash = self.model_params['min_cash']
tolerance = self.model_params['tolerance']
mistake_threshold = self.model_params['mistake_threshold']
make_mistakes = self.model_params['make_mistakes']
for i in range(int(self.model_params['num_agents'])):
agent = Agents.Agent(id=i,
name='Agent ' + str(i),
int_rate=int_rate,
min_holding=min_holding,
init_cash=init_cash,
position=position,
forecast_params=self.forecast_params,
dividend=self.init_dividend,
price=self.init_asset_price,
conditions=self.conditions,
min_cash=min_cash,
risk_aversion=self.__gen_agent_risk__,
tolerance=tolerance,
mistake_threshold=mistake_threshold,
make_mistakes=make_mistakes)
agent.__set_holdings__()
self.population.append(agent)
import pyparsing as pp
import Agents
import argparse
from settings import *
import re
global args
agent = Agents.Agent(args.groups)
#===========================
def printenv(e):
# print("")
# print("========ENVIRONMENT=======")
# for k in e.keys():
# print("\t"+k)
# print("\t\t"+str(e[k]))
# print("--------------------------")
# print("")
pass
def dprintenv(e):
print("")
print("========ENVIRONMENT=======")
for k in e.keys():
print("\t" + k.replace("_", " "))
print("\t\t" + str(e[k]))
print("--------------------------")
print("")