fixing formating black

src/usefulgnom/serialize/total_coverage.py

@@ -15,29 +15,27 @@
 import gzip
 
 
-def load_convert_total(
-        coverage_path : str,
-        pos : list[str]
-        ) -> pd.DataFrame:
+def load_convert_total(coverage_path: str, pos: list[str]) -> pd.DataFrame:
     """
     Load and convert the total coverage data.
     """
 
-    with gzip.open(coverage_path, 'rt') as file:
-
+    with gzip.open(coverage_path, "rt") as file:
         # Use pd.read_csv to read the file
-        df = pd.read_csv(file, delimiter='\t', usecols=[1, 2], header=None, index_col=None)[1:]
+        df = pd.read_csv(
+            file, delimiter="\t", usecols=[1, 2], header=None, index_col=None
+        )[1:]
 
-        df.columns = ['pos', 'coverage']
+        df.columns = ["pos", "coverage"]
 
     # extract coverage for specified position and nt
     # record columns for df
     column = []
     for position in pos:
-        coverage = (df.loc[df['pos'] == position, 'coverage'])
+        coverage = df.loc[df["pos"] == position, "coverage"]
 
         column.append(coverage.iloc[0])
 
     df_out = pd.DataFrame(column)
 
-    return df_out
+    return df_out