deleted old slspc.py

policyengine_us/variables/gov/aca/slspc/slspc.py

@@ -8,149 +8,6 @@
 )
 
 
-class second_lowest_silver_plan_cost(Variable):
-    value_type = float
-    entity = TaxUnit
-    label = "Second-lowest silver plan cost"
-    unit = USD
-    definition_period = YEAR
-    hidden_input = True
 
 
-    # Start with a new formula 
-    # 1. Inputs from user: state, county which determine -> rating area 
-    # 2. Inputs from user: age -> initial calculation on a person level 
-    # 
-
 
-    def formula(tax_unit, period, parameters):
-        person = tax_unit.members
-        household = person.household
-        state = household("state_code_str", period)
-
-        # California special case (existing logic)
-        if state == "CA":
-            cofips = household("county_fips", period)
-            LA_COUNTY_FIPS = 37
-            in_la_county = cofips == LA_COUNTY_FIPS
-            zip3 = household("aca_zip3_ca_county_la", period)
-            return where(in_la_county, zip3, cofips)
-
-        # Alaska and Massachusetts use ZIP3
-        elif state in ["AK", "MA"]:
-            return household("zip_3", period)
-
-        # All other states use county FIPS
-        else:
-            return household("county_fips", period)
-
-class aca_slspc_trimmed_age(Variable):
-    value_type = int
-    entity = Person
-    label = "Age clipped to be in ACA SLSPC range"
-    definition_period = YEAR
-
-    def formula(person, period, parameters):
-        age = person("age", period)
-        p = parameters(period).gov.aca.slspc
-        return max_(0, min_(64, age))
-
-class person_aca_slspc(Variable):
-    value_type = float
-    entity = Person
-    label = "Second-lowest ACA silver-plan cost for person"
-    unit = USD
-    definition_period = YEAR
-
-    def formula(person, period, parameters):
-        # Get state and rating area
-        state = person.tax_unit.household("state_code_str", period)
-        rating_area = person.tax_unit("aca_rating_area", period)
-
-        # Get base cost for rating area
-        base_costs = parameters(period).gov.aca.state_ratingarea_cost
-        base_cost = base_costs[state][rating_area]
-
-        # Get age and appropriate age curve
-        age = person("aca_slspc_trimmed_age", period)
-        age_curves = parameters(period).gov.aca.age_curves
-
-        states_with_custom_curves = [
-            "AL", "DC", "MA", "MN", "MS", "OR", "UT"
-        ]
-
-        if state in states_with_custom_curves:
-            age_curve = age_curves[state.lower()]
-            if state == "DC":  # Handle DC's special file name
-                age_curve = age_curves.district_of_columbia
-        else:
-            age_curve = age_curves.default
-
-        age_factor = age_curve[age]
-
-        # Calculate final cost
-        return base_cost * age_factor
-
-class aca_slspc(Variable):
-    value_type = float
-    entity = TaxUnit
-    label = "Second-lowest ACA silver-plan cost for tax unit"
-    unit = USD
-    definition_period = YEAR
-
-    def formula(tax_unit, period, parameters):
-        """Calculate the total SLSPC for the tax unit."""
-        simulation = tax_unit.simulation
-
-        # Check for user override
-        if simulation.get_holder("reported_slspc").get_array(period) is not None:
-            return simulation.calculate("reported_slspc", period)
-
-        # Sum eligible person costs
-        person_costs = tax_unit.members("person_aca_slspc", period)
-        return tax_unit.sum(person_costs)
-
-    # def formula(tax_unit, period, parameters):
-    #     simulation: Simulation = tax_unit.simulation
-    #     if (
-    #         simulation.get_holder("reported_slspc").get_array(period)
-    #         is not None
-    #     ):
-    #         # If the user has provided a value for the second-lowest silver plan
-    #         # cost, use that.
-    #         return simulation.calculate("reported_slspc", period)
-    #     person = tax_unit.members
-    #     household = person.household
-    #     area = household("medicaid_rating_area", period)
-    #     state = household("state_code_str", period)
-    #     age = person("age", period)
-    #     age_code = select(
-    #         [
-    #             age < 21,
-    #             age < 64,
-    #             age >= 64,
-    #         ],
-    #         [
-    #             "0-20",
-    #             age.astype(int).astype(str),
-    #             "64+",
-    #         ],
-    #     )
-    #     eligible = person.tax_unit("is_ptc_eligible", period)
-    #     per_person_cost = np.zeros_like(age)
-    #     lookup_df = pd.DataFrame(
-    #         {
-    #             "state": state,
-    #             "rating_area": area,
-    #             "age": age_code,
-    #         }
-    #     )
-    #     merged = pd.merge(
-    #         lookup_df[eligible],
-    #         slspc_data,
-    #         how="left",
-    #         on=["state", "rating_area", "age"],
-    #     ).value.values
-    #     per_person_cost = np.zeros_like(age)
-    #     per_person_cost[eligible] = merged
-    #     return tax_unit.sum(per_person_cost)