update the return values for cage

genomics-long-range-benchmark.py

@@ -269,6 +269,10 @@ class CagePredictionHandler(GenomicLRATaskHandler):
                 return_new_start_stop=True
             )
 
+            if self.sequence_length >= self.DEFAULT_LENGTH:
+                new_start = start
+                new_stop = stop
+
             # floor npy_idx to the nearest 1000
             npz_file = np.load(
                 target_files[int((row["npy_idx"] // self.NPZ_SPLIT) * self.NPZ_SPLIT)]