def brut_to_net(year = None, net_variable_name = None, tax_benefit_system = None, **kwargs):
simulation = surveys.new_simulation_from_array_dict(
array_dict = kwargs,
tax_benefit_system = tax_benefit_system.__class__(),
year = year,
)
return simulation.calculate(net_variable_name)
def check_rstnet_to_rstbrut(count, rstbrut_max, rstbrut_min, year):
simulation = surveys.new_simulation_from_array_dict(
array_dict = dict(
age = np.array(40).repeat(count),
rstbrut = np.linspace(rstbrut_min, rstbrut_max, count),
),
debug = True,
tax_benefit_system = tax_benefit_system,
year = year,
)
rstbrut_holder = simulation.get_holder('rstbrut')
rstbrut = rstbrut_holder.array
rstnet = simulation.calculate('rstnet')
# Now that net has been computed, remove brut and recompute it from net.
del rstbrut_holder.array
new_rstbrut = simulation.calculate('rstbrut')
assert abs(new_rstbrut - rstbrut).all() < 0.1, str((rstbrut, new_rstbrut))
def check_salnet_to_salbrut(count, salbrut_max, salbrut_min, type_sal, year):
simulation = surveys.new_simulation_from_array_dict(
array_dict = dict(
age = np.array(40).repeat(count),
primes = TAUX_DE_PRIME * np.linspace(salbrut_min, salbrut_max, count) * (type_sal >= 2),
salbrut = np.linspace(salbrut_min, salbrut_max, count),
type_sal = np.array(type_sal).repeat(count),
),
debug = True,
tax_benefit_system = tax_benefit_system,
year = year,
)
salbrut_holder = simulation.get_holder('salbrut')
salbrut = salbrut_holder.array
salnet = simulation.calculate('salnet')
# Now that net has been computed, remove brut and recompute it from net.
del salbrut_holder.array
new_salbrut = simulation.calculate('salbrut')
assert abs(new_salbrut - salbrut).all() < 0.1, str((salbrut, new_salbrut))
