1. from sys import stdin,stdout
2.  
3.  
4. def filter_data(data):
5.         ranges = ["[0, 0.2)", "[0.2, 0.4)", "[0.4, 0.6)",
6.                         "[0.6, 0.8)", "[0.8, 1.0)"]
7.  
8.         group = {}
9.  
10.         # group the data
11.         for val in data:
12.                 idx = ranges[int(val/0.2)]
13.  
14.                 group.setdefault(idx,{})
15.                 group[idx].setdefault("items",[])
16.                 group[idx].setdefault("count", 0)
17.  
18.                 group[idx]["items"].append(val)
19.                 group[idx]["count"] += 1
20.  
21.         # check if a cartegory doesn't have a value
22.         if len(group.keys()) < len(ranges):
23.                 return [None]
24.  
25.  
26.         # find the minumin number of items in a cartegory
27.         minumum = min(group.values(), key=lambda x:x["count"])["count"]
28.  
29.         # create thhe balanced dataset by picking the minumun
30.         # number of items in each cartegory
31.         filtered = []
32.         for k in group.values():
33.                 filtered.extend(k['items'][:minumum])
34.  
35.         return filtered
36.  
37. #read the data from stdin
38. data = [float(num.rstrip()) for num in stdin.readlines()[0].split(",")]
39.  
40. filtered_data = filter_data(data)
41.  
42. #output the filtered data
43. stdout.write(", ".join(map(str,filtered_data)))