from ShadowRate import Shadow_rate_mean 
from Houseprices import Index_change  
# Will eventually allow for user changes to these variables
Average_Shadow_Rate = Shadow_rate_mean(6,2)
Average_house_return = Index_change (6)
# Even though all the displayed numbers will be truncated, the data will be preserved so it can be called if needed
Cost_of_credit_adjusted_housing_return = Average_house_return-Average_Shadow_Rate
Displayed_adjusted_return =  float((int(1000*Cost_of_credit_adjusted_housing_return))/1000)
print ('''Due to the current monetary conditions, the real return on housing should be closer to {}% per month, 
when accounting for both the increase in property value and the real cost of carrying debt'''.format(Displayed_adjusted_return))
from ShadowRate import Shadow_rate_mean 
from Houseprices import Index_change  
# Will eventually allow for user changes to these variables
Average_Shadow_Rate = Shadow_rate_mean(6,2)
Average_house_return = Index_change (6)
# Even though all the displayed numbers will be truncated, the data will be preserved so it can be called if needed
Cost_of_credit_adjusted_housing_return = Average_house_return-Average_Shadow_Rate
Displayed_adjusted_return =  float((int(1000*Cost_of_credit_adjusted_housing_return))/1000)
print ('''Due to the current monetary conditions, the real return on housing should be closer to {}% per month, 
when accounting for both the increase in property value and the real cost of carrying debt'''.format(Displayed_adjusted_return))
# Will eventually allow for user changes to these variables # Even though all the displayed numbers will be truncated, the data will be preserved so it can be called if needed Due to the current monetary conditions, the real return on housing should be closer to {}% per month,  when accounting for both the increase in property value and the real cost of carrying debt