Ruff and Black formatting

Realized I could simplify my list of list comprehension

Better linting
Easier readability

tests/test_csv_differences.py

@@ -7,37 +7,37 @@ def test_csv_differences(self):
         vals = get_phase_1_and_2_validations_for_lei()
         code_descs = [
             (s.title, s.severity, s.description)
-            for s in [x for l in [v['phase_1'] for v in vals.values()] for x in l]
-            + [x for l in [v['phase_2'] for v in vals.values()] for x in l]
+            for s in ([v["phase_1"] for v in vals.values()] + [v["phase_2"] for v in vals.values()])
+            for s in s
         ]
 
         csv_df = pd.read_csv(
-            'https://raw.githubusercontent.com/cfpb/sbl-content/main/fig-files/validation-spec/2024-validations.csv'
+            "https://raw.githubusercontent.com/cfpb/sbl-content/main/fig-files/validation-spec/2024-validations.csv"
         )
         csv_descs = list(zip(csv_df.validation_id, csv_df.type, csv_df.description))
 
         wrong_ids = []
 
-        with open('errors.csv', 'w') as error_file:
+        with open("errors.csv", "w") as error_file:
             for c in code_descs:
                 found_cd = [d for d in csv_descs if d[0] == c[0]]
                 if len(found_cd) == 0 or found_cd[0][1].lower() != c[1].lower() or found_cd[0][2] != c[2]:
                     # This can be used locally to run a pytest and get a csv of discrepancies, which makes for easier
                     # correcting of code/csv.
                     error_file.write(
-                        f'{c[0]},\"{c[1]}\",\"{found_cd[0][1] if (len(found_cd) != 0) else None}\",\"{c[2]}\",\"{found_cd[0][2] if (len(found_cd) != 0) else None}\"\n'
+                        f'{c[0]},"{c[1]}","{found_cd[0][1] if (len(found_cd) != 0) else None}","{c[2]}","{found_cd[0][2] if (len(found_cd) != 0) else None}"\n'
                     )
                     wrong_ids.append(c)
 
         bad_ids = [i[0] for i in wrong_ids]
         if len(bad_ids) != 0:
-            print(f'Bad IDs in Code: {bad_ids}')
-            print(f'Total Bad IDs: {len(bad_ids)}')
+            print(f"Bad IDs in Code: {bad_ids}")
+            print(f"Total Bad IDs: {len(bad_ids)}")
 
         missing_ids = [i for i in [x[0] for x in csv_descs] if i not in [y[0] for y in code_descs]]
         if len(missing_ids) != 0:
-            print(f'Missing IDs in CSV: {missing_ids}')
-            print(f'Total Missing IDs: {len(missing_ids)}')
+            print(f"Missing IDs in CSV: {missing_ids}")
+            print(f"Total Missing IDs: {len(missing_ids)}")
 
         assert len(bad_ids) == 0
         assert len(missing_ids) == 0