--- a/COBRAxy/ras_to_bounds.py	Sun Oct 13 16:32:08 2024 +0000
+++ b/COBRAxy/ras_to_bounds.py	Sun Oct 13 16:37:47 2024 +0000
@@ -123,8 +123,6 @@
     Returns:
         None
     """
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").lower_bound))
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").upper_bound))
     for reaction in rxns_ids:
         if reaction in ras_row.index: #and reaction not in mediumRxns_ids
             scaling_factor = ras_row[reaction]
@@ -139,8 +137,6 @@
             if upper_bound!=0 and lower_bound!=0:
                 model.reactions.get_by_id(reaction).lower_bound=valMin
                 model.reactions.get_by_id(reaction).upper_bound=valMax
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").lower_bound))
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").upper_bound))
     pass
 
 def process_ras_cell(cellName, ras_row, model, rxns_ids, mediumRxns_ids, output_folder):
@@ -197,9 +193,6 @@
         model.reactions.get_by_id(reaction).lower_bound = float(df_FVA.loc[reaction, "minimum"])
         model.reactions.get_by_id(reaction).upper_bound = float(df_FVA.loc[reaction, "maximum"])
 
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").lower_bound))
-    warning(str(model.reactions.get_by_id("EX_Lcystin_e").upper_bound))
-
     if ras is not None:
         #Parallel(n_jobs=cpu_count())(delayed(process_ras_cell)(cellName, ras_row, model, rxns_ids, output_folder) for cellName, ras_row in ras.iterrows())
         for cellName, ras_row in ras.iterrows():