PolicyEngine · baogorek · Jan 22, 2026 · Jan 21, 2026 · Jan 21, 2026 · Jan 22, 2026
diff --git a/changelog_entry.yaml b/changelog_entry.yaml
@@ -1,4 +1,4 @@
-- bump: patch
+- bump: minor
   changes:
-    fixed:
-    - Versioning workflow checkout for push events
+    added:
+      - tests to verify SparseMatrixBuilder correctly calculates variables and constraints into the calibration matrix.
diff --git a/policyengine_us_data/datasets/cps/cps.py b/policyengine_us_data/datasets/cps/cps.py
@@ -15,7 +15,6 @@
 from microimpute.models.qrf import QRF
 import logging
 
-
 test_lite = os.environ.get("TEST_LITE") == "true"
 print(f"TEST_LITE == {test_lite}")
 

diff --git a/policyengine_us_data/datasets/cps/enhanced_cps.py b/policyengine_us_data/datasets/cps/enhanced_cps.py
@@ -22,7 +22,6 @@
 from pathlib import Path
 import logging
 
-
 try:
     import torch
 except ImportError:

diff --git a/policyengine_us_data/datasets/cps/local_area_calibration/calibration_utils.py b/policyengine_us_data/datasets/cps/local_area_calibration/calibration_utils.py
@@ -17,7 +17,6 @@
     StateCode,
 )
 
-
 # State/Geographic Mappings
 STATE_CODES = {
     1: "AL",

diff --git a/policyengine_us_data/datasets/cps/local_area_calibration/matrix_tracer.py b/policyengine_us_data/datasets/cps/local_area_calibration/matrix_tracer.py
@@ -46,7 +46,6 @@
     create_target_groups,
 )
 
-
 logger = logging.getLogger(__name__)
 
 

diff --git a/policyengine_us_data/datasets/cps/local_area_calibration/sparse_matrix_builder.py b/policyengine_us_data/datasets/cps/local_area_calibration/sparse_matrix_builder.py
@@ -199,20 +199,12 @@ def build_matrix(
                             ):
                                 mask[:] = False
                         else:
-                            try:
-                                values = state_sim.calculate(
-                                    c["variable"], map_to="household"
-                                ).values
-                                mask &= apply_op(
-                                    values, c["operation"], c["value"]
-                                )
-                            except Exception as e:
-                                # Variable may not exist or may not be
-                                # calculable at household level - skip
-                                logger.debug(
-                                    f"Could not evaluate constraint "
-                                    f"{c['variable']}: {e}"
-                                )
+                            values = state_sim.calculate(
+                                c["variable"], map_to="household"
+                            ).values
+                            mask &= apply_op(
+                                values, c["operation"], c["value"]
+                            )
 
                     if not mask.any():
                         continue

diff --git a/policyengine_us_data/datasets/puf/puf.py b/policyengine_us_data/datasets/puf/puf.py
@@ -15,7 +15,6 @@
     create_policyengine_uprating_factors_table,
 )
 
-
 rng = np.random.default_rng(seed=64)
 
 # Get Qualified Business Income simulation parameters ---

diff --git a/policyengine_us_data/datasets/puf/uprate_puf.py b/policyengine_us_data/datasets/puf/uprate_puf.py
@@ -2,7 +2,6 @@
 import numpy as np
 from policyengine_us_data.storage import STORAGE_FOLDER
 
-
 ITMDED_GROW_RATE = 0.02  # annual growth rate in itemized deduction amounts
 
 USE_VARIABLE_SPECIFIC_POPULATION_GROWTH_DIVISORS = False

diff --git a/policyengine_us_data/db/create_database_tables.py b/policyengine_us_data/db/create_database_tables.py
@@ -15,7 +15,6 @@
 
 from policyengine_us_data.storage import STORAGE_FOLDER
 
-
 logging.basicConfig(
     level=logging.INFO,
     format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",

diff --git a/policyengine_us_data/db/etl_age.py b/policyengine_us_data/db/etl_age.py
@@ -11,7 +11,6 @@
 )
 from policyengine_us_data.utils.census import get_census_docs, pull_acs_table
 
-
 LABEL_TO_SHORT = {
     "Estimate!!Total!!Total population!!AGE!!Under 5 years": "0-4",
     "Estimate!!Total!!Total population!!AGE!!5 to 9 years": "5-9",

diff --git a/policyengine_us_data/db/etl_irs_soi.py b/policyengine_us_data/db/etl_irs_soi.py
@@ -24,7 +24,6 @@
     get_district_mapping,
 )
 
-
 """See the 22incddocguide.docx manual from the IRS SOI"""
 # Let's make this work with strict inequalities
 # Language in the doc: '$10,000 under $25,000'

diff --git a/policyengine_us_data/db/validate_database.py b/policyengine_us_data/db/validate_database.py
@@ -9,7 +9,6 @@
 import pandas as pd
 from policyengine_us.system import system
 
-
 conn = sqlite3.connect("policyengine_us_data/storage/policy_data.db")
 
 stratum_constraints_df = pd.read_sql("SELECT * FROM stratum_constraints", conn)

diff --git a/policyengine_us_data/storage/calibration_targets/pull_snap_targets.py b/policyengine_us_data/storage/calibration_targets/pull_snap_targets.py
@@ -9,7 +9,6 @@
     STATE_NAME_TO_ABBREV,
 )
 
-
 STATE_NAME_TO_FIPS = {
     "Alabama": "01",
     "Alaska": "02",

diff --git a/policyengine_us_data/tests/test_datasets/test_county_fips.py b/policyengine_us_data/tests/test_datasets/test_county_fips.py
@@ -10,7 +10,6 @@
     LOCAL_FOLDER,
 )
 
-
 # Sample data that mimics the format from census.gov
 SAMPLE_CENSUS_DATA = """STATE|STATEFP|COUNTYFP|COUNTYNAME
 AL|01|001|Autauga County
-Original file line number
+Diff line change
@@ Expand Up / @@ -17,7 +17,6 @@ @@
         StateCode,
     )
     # State/Geographic Mappings
     STATE_CODES = {
 : "AL",
@@ Expand Down @@
Original file line number	Diff line number	Diff line change
Expand Up		@@ -46,7 +46,6 @@
		create_target_groups,
		)


		logger = logging.getLogger(__name__)


Expand Down