Refactor target_pam_handler.py

target_pam_handler.py

@@ -2,6 +2,7 @@
 import re
 from Bio.Seq import Seq
 
+
 def extract_downstream_pam(
     pam,
     tar_start,
@@ -100,11 +101,13 @@ def extract_upstream_pam(
 
     return extracted_pam
 
+
 # Filter out spacers that don't match the PAM
 def filter_offtargets_by_pam(df):
     targeting_spacers = df[df["target"].notna()]["spacer"].unique()
     return df[~((df["target"].isna()) & (df["spacer"].isin(targeting_spacers)))]
 
+
 # Check if the extracted PAM matches the PAM pattern
 def pam_matches(pam_pattern, extracted_pam):
     # Convert N to . for regex matching
@@ -115,4 +118,4 @@ def pam_matches(pam_pattern, extracted_pam):
         return True
 
     regex_pattern = pam_pattern.replace("N", ".")
-    return bool(re.match(regex_pattern, extracted_pam))
+    return bool(re.match(regex_pattern, extracted_pam))