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1 change: 1 addition & 0 deletions changelog.d/income-decile-regression.fixed.md
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Add regression coverage to keep income decile outputs in `-1` or `1..10`.
65 changes: 65 additions & 0 deletions policyengine_uk/tests/test_household_income_decile.py
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import numpy as np

from policyengine_uk.variables.contrib.policyengine.pre_budget_change_ons_household_income_decile import (
pre_budget_change_ons_household_income_decile,
)
from policyengine_uk.variables.household.income.household_income_decile import (
household_income_decile,
)


class FakeHousehold:
def __init__(self, values, dataset=None):
self.values = values
self.simulation = type("FakeSimulation", (), {"dataset": dataset})()

def __call__(self, variable, period):
return np.array(self.values[variable])


def test_household_income_decile_caps_at_ten():
household = FakeHousehold(
{
"equiv_hbai_household_net_income": np.arange(11, dtype=float),
"household_count_people": np.ones(11),
"household_weight": np.ones(11),
}
)

result = household_income_decile.formula(household, 2025, None)

assert np.all(result <= 10)
assert result.max() == 10


def test_household_income_decile_keeps_negative_incomes_outside_deciles():
household = FakeHousehold(
{
"equiv_hbai_household_net_income": np.array([-5, 0, 10], dtype=float),
"household_count_people": np.ones(3),
"household_weight": np.ones(3),
}
)

result = household_income_decile.formula(household, 2025, None)

assert result[0] == -1
assert np.all(result[1:] >= 1)
assert np.all(result[1:] <= 10)


def test_pre_budget_change_income_decile_domain_is_negative_or_one_to_ten():
household = FakeHousehold(
{
"pre_budget_change_household_net_income": np.array(
[-5, 16_000, 70_000], dtype=float
),
"household_equivalisation_bhc": np.ones(3),
}
)

result = pre_budget_change_ons_household_income_decile.formula(
household, 2025, None
)

assert result.tolist() == [-1, 1, 10]
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