def test_tax_projection_aggregated():
n = 1
population = create_testing_population_dataframe(year_start=2001, year_end=2061, rate=n)
profile = create_constant_profiles_dataframe(population, tax=-1, sub=0.5)
g = 0.5
r = 0.0
cohort = DataCohorts(population)
cohort._fill(profile)
typ = None
cohort.proj_tax(g, r, typ, method = 'aggregate')
test_value = cohort.get_value((0,1,2002), 'tax')
test_value2 = cohort.get_value((0,1,2002), 'sub')
assert test_value2 < 0.5 and test_value > -1
def test_tax_projection_aggregated():
n = 1
population = create_testing_population_dataframe(year_start=2001,
year_end=2061,
rate=n)
profile = create_constant_profiles_dataframe(population, tax=-1, sub=0.5)
g = 0.5
r = 0.0
cohort = DataCohorts(population)
cohort._fill(profile)
typ = None
cohort.proj_tax(g, r, typ, method='aggregate')
test_value = cohort.get_value((0, 1, 2002), 'tax')
test_value2 = cohort.get_value((0, 1, 2002), 'sub')
assert test_value2 < 0.5 and test_value > -1
def test_fill_cohort():
population = create_empty_population_dataframe(2001, 2061)
profiles = create_constant_profiles_dataframe(population, tax = -1, subsidies = 0.5)
cohorts_test = DataCohorts(data = population, columns = ['pop'])
cohorts_test._fill(profiles, year = None)
test_value = cohorts_test.get_value((0,0,2060), 'tax')
assert test_value == -1
def test_fill_cohort():
population = create_empty_population_dataframe(2001, 2061)
profiles = create_constant_profiles_dataframe(population,
tax=-1,
subsidies=0.5)
cohorts_test = DataCohorts(data=population, columns=['pop'])
cohorts_test._fill(profiles, year=None)
test_value = cohorts_test.get_value((0, 0, 2060), 'tax')
assert test_value == -1
def test_tax_projection():
population = create_empty_population_dataframe(2001, 2061)
profile = create_constant_profiles_dataframe(population, tax=-1, sub=0.5)
g = 0.05
r = 0
cohort = DataCohorts(population)
year_length = 200
method = 'stable'
cohort.population_project(year_length, method=method)
cohort._fill(profile)
typ = None
cohort.proj_tax(g, r, typ, method='per_capita')
# print cohort
test_value = cohort.get_value((0, 1, 2002), 'tax')
test_value2 = cohort.get_value((0, 1, 2002), 'sub')
# print test_value, test_value2
# TODO: I don't understand the following <- Just wanted to check if the for loop works by changing the value of typ in the test
assert test_value2 > 0.5 and test_value < -1
def test_tax_projection():
population = create_empty_population_dataframe(2001, 2061)
profile = create_constant_profiles_dataframe(population, tax = -1, sub=0.5)
g = 0.05
r = 0
cohort = DataCohorts(population)
year_length = 200
method = 'stable'
cohort.population_project(year_length, method = method)
cohort._fill(profile)
typ = None
cohort.proj_tax(g, r, typ, method = 'per_capita')
# print cohort
test_value = cohort.get_value((0,1,2002), 'tax')
test_value2 = cohort.get_value((0,1,2002), 'sub')
# print test_value, test_value2
# TODO: I don't understand the following <- Just wanted to check if the for loop works by changing the value of typ in the test
assert test_value2 > 0.5 and test_value < -1
def test_compute_net_transfers():
population = create_empty_population_dataframe(2001, 2061)
profiles = create_constant_profiles_dataframe(population, tax = 1, subsidies = 0.5)
tax = ['tax']
subsidy = ['subsidies']
cohorts_test = DataCohorts(data = population, columns = ['pop'])
cohorts_test._fill(profiles, year = None)
cohorts_test.compute_net_transfers(taxes_list = tax, payments_list = subsidy)
test_value = cohorts_test.get_value((0,0,2060), 'net_transfers')
assert test_value == 0.5
pass
def test_compute_net_transfers():
population = create_empty_population_dataframe(2001, 2061)
profiles = create_constant_profiles_dataframe(population,
tax=1,
subsidies=0.5)
tax = ['tax']
subsidy = ['subsidies']
cohorts_test = DataCohorts(data=population, columns=['pop'])
cohorts_test._fill(profiles, year=None)
cohorts_test.compute_net_transfers(taxes_list=tax, payments_list=subsidy)
test_value = cohorts_test.get_value((0, 0, 2060), 'net_transfers')
assert test_value == 0.5
pass
def test_population_projection():
# Create cohorts
start_data = 2001
end_data = 2061
population = create_empty_population_dataframe(start_data, end_data)
cohorts = DataCohorts(data=population, columns=['pop'])
# Complete population projection
year_length = 100
end_project = start_data + year_length
method = 'exp_growth'
growth_rate = n = 0.05
cohorts.population_project(year_length, method=method, growth_rate=n)
year_control = 2082
control_value = (1 + n)**(year_control - end_data - 1)
test_value = cohorts.get_value((0, 0, 2081), "pop")
assert test_value == control_value
def test_population_projection():
# Create cohorts
start_data = 2001
end_data = 2061
population = create_empty_population_dataframe(start_data, end_data)
cohorts = DataCohorts(data = population, columns = ['pop'])
# Complete population projection
year_length = 100
end_project = start_data + year_length
method = 'exp_growth'
growth_rate = n = 0.05
cohorts.population_project(year_length, method = method, growth_rate = n)
year_control = 2082
control_value = (1+n)**(year_control - end_data - 1)
test_value = cohorts.get_value((0,0,2081), "pop")
assert test_value == control_value