style: black formatting

tests/test_amr_mutation_parsing.py

@@ -5,12 +5,19 @@
 import pandas as pd
 
 from workflow.scripts.compare_aa_mutations import (
-    create_locus_tag_gene_dict, filter_for_known_mutations,
-    filter_for_resistance_genes, merge_resistance_genes_with_ref,
-    read_input_file, rename_df_resistance_with_impact)
+    create_locus_tag_gene_dict,
+    filter_for_known_mutations,
+    filter_for_resistance_genes,
+    merge_resistance_genes_with_ref,
+    read_input_file,
+    rename_df_resistance_with_impact,
+)
 from workflow.scripts.compare_nt_mutations import (
-    combine_exact_matches_and_possible_cnvs, find_exact_matches,
-    find_large_indels, screen_for_possible_cnv_in_known_regions)
+    combine_exact_matches_and_possible_cnvs,
+    find_exact_matches,
+    find_large_indels,
+    screen_for_possible_cnv_in_known_regions,
+)
 
 # init df_mutations with missense SNP and synonymous SNP in the same genetic element, and a large intergenic INDEL (promoter mutation)
 df_mutations = pd.read_csv("tests/test_files/df_mutations.tsv", sep="\t")
@@ -210,13 +217,15 @@ def test_merge_resistance_genes_with_ref(self):
             resistance_variants_csv=df_aa_resistance_variants,
         )
         df_resistance_with_impact_correct = pd.read_csv(
-            "tests/test_files/df_resistance_with_impact_correct.tsv", sep="\t", dtype={"AF": str}
+            "tests/test_files/df_resistance_with_impact_correct.tsv",
+            sep="\t",
+            dtype={"AF": str},
         )
         self.assertEqual(df_resistance_with_impact.shape[0], 2)
         self.assertEqual(df_resistance_with_impact.shape[1], 14)
         df_resistance_with_impact.reset_index(drop=True, inplace=True)
         df_resistance_with_impact_correct.reset_index(drop=True, inplace=True)
-        
+
         self.assertTrue(
             df_resistance_with_impact.equals(df_resistance_with_impact_correct)
         )