diff --git a/README.md b/README.md
index 67af35f..bed040e 100644
--- a/README.md
+++ b/README.md
@@ -174,11 +174,11 @@ With the list of learnwares, `mixture_learnware_list`, returned from the previou
 from learnware.reuse import JobSelectorReuser, AveragingReuser
 
 # using jobselector reuser to reuse the searched learnwares to make prediction
-reuse_job_selector = JobSelectorReuser(learnware_list=mixture_learnware_list)
+reuse_job_selector = JobSelectorReuser(learnware_list=mixture_item.learnwares)
 job_selector_predict_y = reuse_job_selector.predict(user_data=test_x)
 
 # using averaging ensemble reuser to reuse the searched learnwares to make prediction
-reuse_ensemble = AveragingReuser(learnware_list=mixture_learnware_list)
+reuse_ensemble = AveragingReuser(learnware_list=mixture_item.learnwares)
 ensemble_predict_y = reuse_ensemble.predict(user_data=test_x)
 ```
 
diff --git a/docs/start/quick.rst b/docs/start/quick.rst
index bd1d3cb..6f386cd 100644
--- a/docs/start/quick.rst
+++ b/docs/start/quick.rst
@@ -162,11 +162,11 @@ Just substitute ``test_x`` in the code snippet below with your own testing data,
     from learnware.reuse import JobSelectorReuser, AveragingReuser
 
     # using jobselector reuser to reuse the searched learnwares to make prediction
-    reuse_job_selector = JobSelectorReuser(learnware_list=mixture_learnware_list)
+    reuse_job_selector = JobSelectorReuser(learnware_list=mixture_item.learnwares)
     job_selector_predict_y = reuse_job_selector.predict(user_data=test_x)
 
     # using averaging ensemble reuser to reuse the searched learnwares to make prediction
-    reuse_ensemble = AveragingReuser(learnware_list=mixture_learnware_list)
+    reuse_ensemble = AveragingReuser(learnware_list=mixture_item.learnwares)
     ensemble_predict_y = reuse_ensemble.predict(user_data=test_x)