def formula(self, simulation, period):
choice = simulation.calculate('choice', period)
result = switch(
choice,
{
1: 80,
2: 90,
},
)
return result
# TaxBenefitSystem instance declared after formulas
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(choice, uses_multiplication, uses_switch)
month = '2013-01'
scenario = tax_benefit_system.new_scenario().init_from_attributes(
period=month,
input_variables={
# 'choice': [1, 1, 1, 2],
'choice': np.random.randint(2, size=1000) + 1,
},
)
def test_switch():
simulation = scenario.new_simulation(debug=True)
uses_switch = simulation.calculate('uses_switch', period=month)
assert isinstance(uses_switch, np.ndarray)
def get_filled_tbs():
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(input, intermediate, output)
return tax_benefit_system
# december cotisation depending on november value
class cotisation(Variable):
value_type = int
entity = Person
definition_period = MONTH
def formula(person, period):
if period.start.month == 12:
return 2 * person('cotisation', period.last_month)
else:
return person.empty_array() + 1
# TaxBenefitSystem instance declared after formulas
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(variable1, variable2, variable3, variable4,
variable5, variable6, variable7, cotisation)
def test_pure_cycle(simulation, reference_period):
with raises(CycleError):
simulation.calculate('variable1', period=reference_period)
def test_spirals_result_in_default_value(simulation, reference_period):
variable3 = simulation.calculate('variable3', period=reference_period)
assert_near(variable3, [0])
def test_spiral_heuristic(simulation, reference_period):
variable5 = simulation.calculate('variable5', period=reference_period)
variable6 = simulation.calculate('variable6', period=reference_period)
return person.empty_array() + choice
class formula_4(Variable):
value_type = bool
entity = Person
base_function = requested_period_last_value
definition_period = MONTH
def formula(person, period, parameters, choice):
return person.empty_array() + choice
# TaxBenefitSystem instance declared after formulas
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(formula_1, formula_2, formula_3, formula_4)
reference_period = periods.period('2013-01')
def get_simulation():
return tax_benefit_system.new_scenario().init_from_attributes(
period=reference_period.first_month, ).new_simulation()
def test_cache():
simulation = get_simulation()
formula_1_result = simulation.calculate('formula_1',
period=reference_period)
formula_2_result = simulation.calculate('formula_2',
period=reference_period)
entity = Person
definition_period = MONTH
value_type = int
calculate_output = calculate_output_add
class variable_with_calculate_output_divide(Variable):
entity = Person
definition_period = YEAR
value_type = int
calculate_output = calculate_output_divide
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(simple_variable,
variable_with_calculate_output_add,
variable_with_calculate_output_divide)
@raises(ValueError)
def test_calculate_output_default():
simulation = Simulation(tax_benefit_system=tax_benefit_system,
simulation_json=single)
simulation.calculate_output('simple_variable', 2017)
def test_calculate_output_add():
simulation = Simulation(tax_benefit_system=tax_benefit_system,
simulation_json=single)
simulation.set_input('variable_with_calculate_output_add', '2017-01', [10])
simulation.set_input('variable_with_calculate_output_add', '2017-05', [20])
def get_filled_tbs():
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(input, intermediate, output)
return tax_benefit_system
definition_period = MONTH
value_type = int
calculate_output = calculate_output_add
class variable_with_calculate_output_divide(Variable):
entity = Person
definition_period = YEAR
value_type = int
calculate_output = calculate_output_divide
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(
simple_variable,
variable_with_calculate_output_add,
variable_with_calculate_output_divide
)
def test_calculate_output_default(simulation):
with raises(ValueError):
simulation.calculate_output('simple_variable', 2017)
def test_calculate_output_add(simulation):
simulation.set_input('variable_with_calculate_output_add', '2017-01', [10])
simulation.set_input('variable_with_calculate_output_add', '2017-05', [20])
simulation.set_input('variable_with_calculate_output_add', '2017-12', [70])
assert_near(simulation.calculate_output('variable_with_calculate_output_add', 2017), 100)
def formula(person, period):
choice = person('choice', period)
result = switch(
choice,
{
1: 80,
2: 90,
},
)
return result
# TaxBenefitSystem instance declared after formulas
our_tbs = CountryTaxBenefitSystem()
our_tbs.add_variables(choice, uses_multiplication, uses_switch, returns_scalar)
@fixture
def month():
return '2013-01'
@fixture
def simulation(month):
builder = SimulationBuilder()
builder.default_period = month
simulation = builder.build_from_variables(
our_tbs, {'choice': np.random.randint(2, size=1000) + 1})
simulation.debug = True
return simulation
# december cotisation depending on november value
class cotisation(Variable):
value_type = int
entity = Person
definition_period = MONTH
def formula(person, period):
if period.start.month == 12:
return 2 * person('cotisation', period.last_month)
else:
return person.empty_array() + 1
# TaxBenefitSystem instance declared after formulas
tax_benefit_system = CountryTaxBenefitSystem()
tax_benefit_system.add_variables(variable1, variable2, variable3, variable4,
variable5, variable6, variable7, cotisation)
def test_pure_cycle(simulation, reference_period):
with raises(CycleError):
simulation.calculate('variable1', period = reference_period)
def test_spirals_result_in_default_value(simulation, reference_period):
variable3 = simulation.calculate('variable3', period = reference_period)
assert_near(variable3, [0])
def test_spiral_heuristic(simulation, reference_period):
variable5 = simulation.calculate('variable5', period = reference_period)
variable6 = simulation.calculate('variable6', period = reference_period)
