diff --git a/Configuration/PyReleaseValidation/scripts/das-up-to-nevents.py b/Configuration/PyReleaseValidation/scripts/das-up-to-nevents.py
index 1526931391f06..7d27b9695b8c7 100755
--- a/Configuration/PyReleaseValidation/scripts/das-up-to-nevents.py
+++ b/Configuration/PyReleaseValidation/scripts/das-up-to-nevents.py
@@ -117,8 +117,7 @@ def no_intersection():
         print("No X509 proxy set. Exiting.")
         sys.exit(1)
     
-    ## Check if we are in the cms-bot "environment"
-    testing = "JENKINS_PREFIX" in os.environ
+    ## Check if we are in the cms-bot "environment" 
     dataset   = args.dataset
     events    = args.events
     threshold = args.threshold
@@ -205,12 +204,10 @@ def no_intersection():
         if (len(golden_data_runs)==0):
             no_intersection()
 
-        if testing:
-            golden_data_runs = golden_data_runs[:1] # take only the first run
         # building the dataframe, cleaning for bad lumis
         golden_data_runs_tocheck = golden_data_runs
        
-        if args.precheck and not testing:
+        if args.precheck:
             golden_data_runs_tocheck = []
             # Here we check run per run.
             # This implies more dasgoclient queries, but smaller outputs
@@ -223,20 +220,12 @@ def no_intersection():
                 if events > 0 and sum_events > events:
                     break
             das_opt = "run in %s"%(str([int(g) for g in golden_data_runs_tocheck]))
-            
-        if testing:
-            golden_data_runs_tocheck = golden_data_runs[:1] # take only the first run
-            # in testing mode we just take the first file
-            das_opt = "run=%s"%(golden_data_runs_tocheck[0])
     
-    if not testing:
-        df = das_lumi_data(dataset,opt=das_opt).merge(das_file_data(dataset,opt=das_opt),on="file",how="inner") # merge file informations with run and lumis
-    else:
-        df = das_lumi_data(dataset,opt=das_opt)
+    df = das_lumi_data(dataset,opt=das_opt).merge(das_file_data(dataset,opt=das_opt),on="file",how="inner") # merge file informations with run and lumis
 
     df["lumis"] = [[int(ff) for ff in f.replace("[","").replace("]","").split(",")] for f in df.lumis.values]
     
-    if not args.nogolden and not testing:
+    if not args.nogolden:
 
         df_rs = []
         for r in golden_data_runs_tocheck:
@@ -262,16 +251,14 @@ def no_intersection():
     df.loc[:,"min_lumi"] = [min(f) for f in df.lumis]
     df.loc[:,"max_lumi"] = [max(f) for f in df.lumis]
     df = df.sort_values(["run","min_lumi","max_lumi"])
-
-    if testing:
-        df = df.head(1) # take only the first file
+       
     if site is not None:
         df = df.merge(das_file_site(dataset,site),on="file",how="inner")
 
     if args.pandas:
         df.to_csv(dataset.replace("/","")+".csv")
 
-    if events > 0 and not testing:
+    if events > 0:
         df = df[df["events"] <= events] #jump too big files
         df.loc[:,"sum_evs"] = df.loc[:,"events"].cumsum()
         df = df[df["sum_evs"] < events]
@@ -293,4 +280,3 @@ def no_intersection():
 
     sys.exit(0)
 
-