Revise tests to use generated output/growfactors.csv

tests/conftest.py

@@ -66,3 +66,8 @@ def tmd_weights_path():
 @pytest.fixture(scope="session")
 def tmd_growfactors_path():
     return STORAGE_FOLDER / "output" / "tmd_growfactors.csv"
+
+
+@pytest.fixture(scope="session")
+def policy_growfactors_path():
+    return STORAGE_FOLDER / "output" / "growfactors.csv"

tests/test_imputed_variables.py

@@ -16,6 +16,7 @@ def test_obbba_deduction_tax_benefits(
     tmd_variables_path,
     tmd_weights_path,
     tmd_growfactors_path,
+    policy_growfactors_path,
 ):
     """
     Estimate percent of tax-units affected by each new tax deduction and
@@ -123,7 +124,10 @@ def actual_results(rdf, bdf):
         growfactors_path=tmd_growfactors_path,
     )
     # create baseline_sim Calculator object for simyear and get its output
-    pol = taxcalc.Policy()
+    policy_gf = taxcalc.GrowFactors(
+        growfactors_filename=str(policy_growfactors_path)
+    )
+    pol = taxcalc.Policy(gfactor=policy_gf)
     pol.implement_reform(SOI_IITAX_SPEC)
     baseline_sim = taxcalc.Calculator(policy=pol, records=recs)
     baseline_sim.advance_to_year(simyear)
@@ -140,7 +144,7 @@ def actual_results(rdf, bdf):
     tolerance_scale = 1.0
     for ded, info in deductions.items():
         # create reform Calculator object for simyear
-        reform_policy = taxcalc.Policy()
+        reform_policy = taxcalc.Policy(gfactor=policy_gf)
         reform_policy.implement_reform(SOI_IITAX_SPEC)
         reform_policy.implement_reform(info["reform_dict"])
         reform_sim = taxcalc.Calculator(policy=reform_policy, records=recs)

tests/test_revenue_levels_cbo.py

@@ -38,13 +38,20 @@
     reason="expected values are calibrated to TAXYEAR=2022",
 )
 def test_revenue_levels_cbo(
-    tests_folder, tmd_variables, tmd_weights_path, tmd_growfactors_path
+    tests_folder,
+    tmd_variables,
+    tmd_weights_path,
+    tmd_growfactors_path,
+    policy_growfactors_path,
 ):
     epath = tests_folder / "expected_cbo_levels_2022_data.yaml"
     with open(epath, "r", encoding="utf-8") as f:
         exp = yaml.safe_load(f)
 
-    pol = taxcalc.Policy()
+    policy_gf = taxcalc.GrowFactors(
+        growfactors_filename=str(policy_growfactors_path)
+    )
+    pol = taxcalc.Policy(gfactor=policy_gf)
     pol.implement_reform(SOI_IITAX_SPEC)
     rec = taxcalc.Records(
         data=tmd_variables,

tests/test_soi_sanity_2022.py

@@ -82,14 +82,20 @@ def _soi_target(soi_df, variable, count):
 
 
 def test_soi_sanity_2022(
-    tmd_variables, tmd_weights_path, tmd_growfactors_path
+    tmd_variables,
+    tmd_weights_path,
+    tmd_growfactors_path,
+    policy_growfactors_path,
 ):
     """Five weighted 2022 totals from TMD within 1% of SOI targets."""
     # Run TaxCalc at TAXYEAR to obtain c00100 (AGI) and iitax. e00200,
     # e26270, and s006 are available directly on the input frame but
     # using the post-calc_all arrays keeps one consistent source for
     # all five aggregates.
-    pol = taxcalc.Policy()
+    policy_gf = taxcalc.GrowFactors(
+        growfactors_filename=str(policy_growfactors_path)
+    )
+    pol = taxcalc.Policy(gfactor=policy_gf)
     pol.implement_reform(SOI_IITAX_SPEC)
     recs = taxcalc.Records(
         data=tmd_variables,

tests/test_taxcalc_results_2022.py

@@ -23,13 +23,20 @@
     reason="expected values are calibrated to TAXYEAR=2022",
 )
 def test_taxcalc_results_2022(
-    tests_folder, tmd_variables, tmd_weights_path, tmd_growfactors_path
+    tests_folder,
+    tmd_variables,
+    tmd_weights_path,
+    tmd_growfactors_path,
+    policy_growfactors_path,
 ):
     epath = tests_folder / "expected_taxcalc_results_2022.yaml"
     with open(epath, "r", encoding="utf-8") as f:
         expect = yaml.safe_load(f)
 
-    pol = taxcalc.Policy()
+    policy_gf = taxcalc.GrowFactors(
+        growfactors_filename=str(policy_growfactors_path)
+    )
+    pol = taxcalc.Policy(gfactor=policy_gf)
     pol.implement_reform(SOI_IITAX_SPEC)
     recs = taxcalc.Records(
         data=tmd_variables,