diff --git a/scripts/data_extraction.py b/scripts/data_extraction.py
index b064ec1..6fd8ca6 100755
--- a/scripts/data_extraction.py
+++ b/scripts/data_extraction.py
@@ -923,14 +923,14 @@ changes_val = []
 changes_dict = {}
 
 ##BROKENNNN!!!!
-
+common_muts
+gene_LF1['mutation'].head()
 common_muts_lower =  list((map(lambda x: x.lower(), common_muts)))
 common_muts_lower
 ##BROKENNNN!!!!
-#for i in common_muts:
-for i in common_muts_lower:
-
-    print(i)
+for i in common_muts:
+#for i in common_muts_lower:
+    #print(i)
     temp_df = gene_LF1[gene_LF1['mutation'] == i][['mutation', 'mutation_info_orig']]
     temp_df
   # DANGER: ASSUMES TWO STATES ONLY and that value_counts sorts by descending
@@ -992,7 +992,6 @@ print('\n----------------------------------'
 
 ambiguous_muts_value_counts.to_csv(outfile_ambig_mut_counts, index = True)
 #%% FIXME: Add sanity check to make sure you can add value_count checks
-print('\nREACHED here...................>>>>>>>')
 #%% Resolving ambiguous muts
 # Merging ambiguous muts
 #=================
@@ -1013,8 +1012,7 @@ else:
 gene_LF1.loc[ambig_muts_rev_df.index, 'mutation_info'] = ambig_muts_rev_df['mutation_info_REV']
 
 gene_LF1['mutation_info_orig'].value_counts()
-#gene_LF1['mutation_info_v1'].value_counts()
-foo = gene_LF1.iloc[ambig_muts_rev_df.index]
+gene_LF1['mutation_info_v1'].value_counts()
 
 # Sanity check1: if there are still any ambiguous muts
 #muts_split_rev = list(gene_LF1.groupby('mutation_info_v1'))
@@ -1527,8 +1525,8 @@ if (gene_LF3['dst_mode'].value_counts().sum() == len(gene_LF3)) and (gene_LF3['d
 else:
     print('\nFAIL:  revised dst mode numbers MISmatch')
 
-foo = gene_LF3[['Mut', 'position', 'dst', 'dst_multimode', 'dst_noNA', 'dst_mode']]
-foo2 = foo.sort_values(['position', 'Mut'])
+#foo = gene_LF3[['Mut', 'position', 'dst', 'dst_multimode', 'dst_noNA', 'dst_mode']]
+#foo2 = foo.sort_values(['position', 'Mut'])
 
 print('\n------------------------------------------------------'
       , '\nRevised counting: mutation_info i.e dm om column\n'
@@ -1727,7 +1725,7 @@ len(gene_LF3)
 # Dropping duplicates from lineage df
 lf_lin_split_dups = lf_lin_split_ColSel[lf_lin_split_ColSel.index.duplicated()]
 lf_lin_split_U    = lf_lin_split_ColSel[~lf_lin_split_ColSel.index.duplicated()]
-if len(lf_lin_split_U) == len(snps_only):
+if len(lf_lin_split_U) == len(SnpFDict):
     print('\nPASS: Duplicate entries removed from lf_lin'
           , '\nReady to start the final merge to generate gene_LF4')
 else: