diff --git a/internbootcamp/bootcamp/ChemStructure2Property/InChI2logPBootCamp.py b/internbootcamp/bootcamp/ChemStructure2Property/InChI2logPBootCamp.py
index d6ddc90..402edee 100755
--- a/internbootcamp/bootcamp/ChemStructure2Property/InChI2logPBootCamp.py
+++ b/internbootcamp/bootcamp/ChemStructure2Property/InChI2logPBootCamp.py
@@ -20,11 +20,10 @@ class InChI2logPbootcamp(Basebootcamp):
         生成一组数字和目标值。
         """
         self.InChIGenerator = InChIGenerator(max_atoms=self.max_atoms, min_atoms=self.min_atoms, elements=None, seed=None)
-        inchis = self.InChIGenerator.generate_n_valid_inchi(10)
+        inchis = self.InChIGenerator.generate_n_valid_inchi(1)
         # print(inchis)
-        n = random.randint(0, 9)
         # print(n)
-        return inchis[n]
+        return inchis[0]
 
     def prompt_func(self, InChI) -> str:
 
@@ -76,7 +75,7 @@ class InChI2logPbootcamp(Basebootcamp):
             return 0.0  # Error is too large, score is 0
         else:
             # Linear interpolation: score decreases linearly from 1 to 0 as error goes from 0 to max_relative_error
-            return 1.0 
+            # return 1.0 
             return 1 - (relative_error / max_relative_error) * 0.5 ## For RL
         
 if __name__ == "__main__":
diff --git a/internbootcamp/bootcamp/ChemStructure2Property/SMILES2logPBootCamp.py b/internbootcamp/bootcamp/ChemStructure2Property/SMILES2logPBootCamp.py
index f8a2eca..6426cc3 100755
--- a/internbootcamp/bootcamp/ChemStructure2Property/SMILES2logPBootCamp.py
+++ b/internbootcamp/bootcamp/ChemStructure2Property/SMILES2logPBootCamp.py
@@ -21,7 +21,7 @@ class SMILES2logPbootcamp(InChI2logPbootcamp):
         生成一组数字和目标值。
         """
         self.SMILESGenerator = SMILESGenerator(min_len=self.min_len, max_len=self.max_len, seed=None)
-        return self.SMILESGenerator.generate_n_valid_smiles(10)[random.randint(0, 9)]
+        return self.SMILESGenerator.generate_n_valid_smiles(1)[0]
 
     def prompt_func(self,  SMILES) -> str:
 
@@ -63,5 +63,5 @@ class SMILES2logPbootcamp(InChI2logPbootcamp):
             return 0.0  # Error is too large, score is 0
         else:
             # Linear interpolation: score decreases linearly from 1 to 0 as error goes from 0 to max_relative_error
-            return 1.0
+            # return 1.0
             return 1 - (relative_error / max_relative_error) * 0.5 ## For RL
diff --git a/internbootcamp/libs/chemStructure2Property/ChemStructureGenerator.py b/internbootcamp/libs/chemStructure2Property/ChemStructureGenerator.py
index bfe23cb..2564533 100755
--- a/internbootcamp/libs/chemStructure2Property/ChemStructureGenerator.py
+++ b/internbootcamp/libs/chemStructure2Property/ChemStructureGenerator.py
@@ -113,7 +113,7 @@ class InChIGenerator:
                     except Exception as e:
                         # This can happen if the molecule is somehow malformed even after sanitization,
                         # or if InChI generation itself encounters an issue (rare).
-                        print(f"Debug: MolToInchi failed: {e} for SMILES: {Chem.MolToSmiles(mol)}")
+                        # print(f"Debug: MolToInchi failed: {e} for SMILES: {Chem.MolToSmiles(mol)}")
                         pass
 
         return list(valid_inchi_set)
@@ -244,7 +244,7 @@ class SMILESGenerator:
         valid_smiles_set = set()
         total_attempts_overall = 0
 
-        print(f"Attempting to generate {n} valid SMILES (min_len={self.min_len}, max_len={self.max_len})...")
+        # print(f"Attempting to generate {n} valid SMILES (min_len={self.min_len}, max_len={self.max_len})...")
         while len(valid_smiles_set) < n:
             attempts_for_current_smiles = 0
             generated_this_round = False