Update top-k.md

Author: ViktarStarastsenka

src/ds/prob/top-k.md

@@ -4,21 +4,21 @@ A Top-K maintains a list of *K* most frequently seen items.
 
 To get started, initialize a Top-K with a width (the number of counters kept in each array), depth (the number of arrays), and decay (the probability of reducing a counter in an occupied bucket).
 
-```redis Initialize a Top-K
+```redis:[run_confirmation=true] Initialize a Top-K
 TOPK.RESERVE bikes:keywords 50 2000 7 0.925 // initializes the Top-K with 50 counters kept in each array, 2000 arrays and 0.925 probability of reducing a counter in an occupied bucket
 ```
 
 Next, add items to the Top-K filter.
 
 Note that if an item enters the Top-K list, the item which is expelled from the list to make room for it is returned.
 
-```redis Add items
+```redis:[run_confirmation=true] Add items
 TOPK.ADD bikes:keywords store seat handlebars handles pedals tires store seat
 ```
 
 You can increase the score of an item in the Top-K by a given increment. “nil” is returned if no change to the Top-K list occurred. If the modified item entered the Top-K list as a result of the increment operation, then the item dropped from the list to make room for it is returned.
 
-```redis Increase the score
+```redis:[run_confirmation=true] Increase the score
 TOPK.INCRBY bikes:keywords store 3 seat 2 handles 30 // increases the score of "store" by 3, "seat" by 2 and "handles" by 30.
 ```
 
@@ -38,4 +38,4 @@ You can see the number of required items (k), width, depth, and decay values in
 
 ```redis Get information about the Top-K
 TOPK.INFO bikes:keywords
-```
+```