def calc_base(self):
"""
Call functions for the current_year. This involves
updating depreciation methods, computing the npv of depreciation
(z), and computing the cost of capital (rho) and then calling
the calc_all() function to do computations that dependon rho and
z.
"""
# conducts static analysis of Calculator object for current_year
self.__assets.df = update_depr_methods(self.__assets.df,
self.__p)
dfs = {'c': self.__assets.df[
self.__assets.df['tax_treat'] == 'corporate'].copy(),
'nc': self.__assets.df[
self.__assets.df['tax_treat'] == 'non-corporate'].copy()}
# separate into corp and non-corp dataframe here
for t in self.__p.entity_list:
for f in self.__p.financing_list:
dfs[t]['z_' + str(f)] = npv_tax_depr(
dfs[t], self.__p.r[t][f], self.__p.inflation_rate,
self.__p.land_expensing)
dfs[t]['rho_' + str(f)] = eq_coc(
dfs[t]['delta'], dfs[t]['z_' + str(f)],
self.__p.property_tax,
self.__p.u[t], self.__p.inv_tax_credit,
self.__p.inflation_rate, self.__p.r[t][f])
if not self.__p.inventory_expensing:
idx = dfs[t]['asset_name'] == 'Inventories'
dfs[t].loc[idx, 'rho_' + str(f)] = eq_coc_inventory(
self.__p.u[t], self.__p.phi, self.__p.Y_v,
self.__p.inflation_rate, self.__p.r[t][f])
self.__assets.df = pd.concat(dfs, ignore_index=True, copy=True,
sort=True)
def test_npv_tax_depr(df, r, pi, land_expensing, expected_df):
test_df = cf.npv_tax_depr(df, r, pi, land_expensing)
print('Types = ', type(test_df), type(expected_df))
assert_series_equal(test_df, expected_df)
def test_npv_tax_depr(df, r, pi, land_expensing, expected_df):
test_df = cf.npv_tax_depr(df, r, pi, land_expensing)
print('Types = ', type(test_df), type(expected_df))
assert_series_equal(test_df, expected_df)