Add changelog entry and remove debug file

Author: MaxGhenis

changelog_entry.yaml

@@ -1,5 +1,4 @@
 - bump: minor
   changes:
     added:
-    - field_valid_values table in the targets database as source of truth for semantic or external target information.
-    - constraint_validation.py to ensure constraint operations result in consistent and valid sets of constraints for a given stratum.
+      - Move all randomness to data package for deterministic country package. Take-up decisions for SNAP, Medicaid, ACA, EITC, DC PTC, Head Start, and Early Head Start are now generated stochastically during dataset creation using take-up rates from YAML parameter files.

household_counts.txt

@@ -207,12 +207,17 @@ def add_takeup(self):
     aca_rate = load_take_up_rate("aca", self.time_period)
     medicaid_rate = load_take_up_rate("medicaid", self.time_period)
     head_start_rate = load_take_up_rate("head_start", self.time_period)
-    early_head_start_rate = load_take_up_rate("early_head_start", self.time_period)
+    early_head_start_rate = load_take_up_rate(
+        "early_head_start", self.time_period
+    )
 
     # EITC: varies by number of children
     eitc_child_count = baseline.calculate("eitc_child_count").values
     eitc_takeup_rate = np.array(
-        [eitc_rates_by_children.get(min(int(c), 3), 0.85) for c in eitc_child_count]
+        [
+            eitc_rates_by_children.get(min(int(c), 3), 0.85)
+            for c in eitc_child_count
+        ]
     )
     data["takes_up_eitc"] = (
         generator.random(len(data["tax_unit_id"])) < eitc_takeup_rate

policyengine_us_data/datasets/cps/cps.py

@@ -4,6 +4,7 @@
 These parameters are stored in the data package to keep the country package
 as a purely deterministic rules engine.
 """
+
 import yaml
 from pathlib import Path
 
@@ -48,6 +49,8 @@ def load_take_up_rate(variable_name: str, year: int = 2018) -> float:
             break
 
     if applicable_value is None:
-        raise ValueError(f"No take-up rate found for {variable_name} in {year}")
+        raise ValueError(
+            f"No take-up rate found for {variable_name} in {year}"
+        )
 
     return applicable_value