Fix style after flake8 bump to major 5.0.4

And force update by CI cache cleanup

dotations/load_dgcl_data.py

@@ -319,7 +319,7 @@ def get_last_year_dotations(data):
          for nom_colonne in variables_calculees_presentes.keys()
          if 'Dotation de solidarité rurale - Cible - Part' in nom_colonne]
     ].sum(axis='columns')
-    assert("dsr_montant_eligible_fraction_bourg_centre" in resultats_extraits.columns)
+    assert "dsr_montant_eligible_fraction_bourg_centre" in resultats_extraits.columns
     return resultats_extraits
 
 

tests/dotations/compare_with_dgcl.py

@@ -104,7 +104,7 @@ def print_eligible_comparison():
     # Merge DGCL results with data_sim
     previous_length_data = len(data_sim)
     data_sim = data_sim.merge(data_calc_dgcl, how="inner", on=code_comm, suffixes=["", "_precalc"])
-    assert(len(data_sim) == previous_length_data)
+    assert len(data_sim) == previous_length_data
 
     summary_variables = {}  # récupère les R²
 
@@ -174,7 +174,7 @@ def print_eligible_comparison_2020():
     # Merge DGCL results with data_sim
     previous_length_data = len(data_sim)
     data_sim = data_sim.merge(data_calc_dgcl, how="inner", on=code_comm, suffixes=["", "_precalc"])
-    assert(len(data_sim) == previous_length_data)
+    assert len(data_sim) == previous_length_data
 
     summary_variables = {}  # récupère les R²
 
@@ -244,7 +244,7 @@ def print_eligible_comparison_2021():
     # Merge DGCL results with data_sim
     previous_length_data = len(data_sim)
     data_sim = data_sim.merge(data_calc_dgcl, how="inner", on=code_comm, suffixes=["", "_precalc"])
-    assert(len(data_sim) == previous_length_data)
+    assert len(data_sim) == previous_length_data
 
     summary_variables = {}  # récupère les R²
 

tests/dotations/test_data.py

@@ -95,11 +95,11 @@ def test_insert_dsu_garanties(loaded_data):
     for period in ["2019", "2020", "2021"]:
         ndf = insert_dsu_garanties(loaded_data, period)
         # column is in the output
-        assert("dsu_montant_garantie_pluriannuelle" in ndf.columns)
+        assert "dsu_montant_garantie_pluriannuelle" in ndf.columns
         # column's sum in a positive number
         assert (ndf["dsu_montant_garantie_pluriannuelle"].sum() > 0)
         # column was not added in loaded_data
-        assert("dsu_montant_garantie_pluriannuelle" not in loaded_data.columns)
+        assert "dsu_montant_garantie_pluriannuelle" not in loaded_data.columns
 
 
 def test_insert_dsr_garanties_communes_nouvelles(loaded_data):
@@ -107,8 +107,8 @@ def test_insert_dsr_garanties_communes_nouvelles(loaded_data):
         ndf = insert_dsr_garanties_communes_nouvelles(loaded_data, period)
         for nom_colonne in ["dsr_garantie_commune_nouvelle_fraction_cible", "dsr_garantie_commune_nouvelle_fraction_perequation", "dsr_garantie_commune_nouvelle_fraction_bourg_centre"]:
             # column is in the output
-            assert(nom_colonne in ndf.columns)
+            assert nom_colonne in ndf.columns
             # column's sum in a positive or zero number
             assert (ndf[nom_colonne].sum() >= 0)
             # column was not added in loaded_data
-            assert(nom_colonne not in loaded_data.columns)
+            assert nom_colonne not in loaded_data.columns