>When no more interesting kata can be resolved, I just choose to create the new kata, to solve their own, to enjoy the process  --myjinxin2015 said

# Description:
 In kindergarten, the teacher gave the children some candies. The number of candies each child gets is not always the same. Here is an array `candies`(all elements are positive integer). It's the number of candy for each child:
 ```
 candies = [10,2,8,22,16,4,10,6,14,20]
 ```
 The teacher asked the children to form a circle and play a game: Each child gives half of his candies to the child on his right(at the same time). If the number of children's candy is an odd number, the teacher will give him an extra candy, so that he can evenly distribute his candy. 
 
 Repeat such distribute process, until all the children's candies are equal in number.
 
 You should return two numbers: 1.How many times of distribution; 2. After the game, the number of each child's candy. Returns the result using an array that contains two elements.
 
  
# Some examples:

```
      candies = [ 1,2,3,4,5 ]
Distribution 1: [ 4,2,3,4,5 ]
Distribution 2: [ 5,3,3,4,5 ]
Distribution 3: [ 6,5,4,4,5 ]
Distribution 4: [ 6,6,5,4,5 ]
Distribution 5: [ 6,6,6,5,5 ]
Distribution 6: [ 6,6,6,6,6 ]
So, we need return: [6,6]

distributionOfCandy([1,2,3,4,5]) === [6,6]

       candies = [ 10,  2,  8, 22, 16,  4, 10,  6, 14, 20 ]
distribution  1: [ 15,  6,  5, 15, 19, 10,  7,  8, 10, 17 ]
distribution  2: [ 17, 11,  6, 11, 18, 15,  9,  8,  9, 14 ]
distribution  3: [ 16, 15,  9,  9, 15, 17, 13,  9,  9, 12 ]
distribution  4: [ 14, 16, 13, 10, 13, 17, 16, 12, 10, 11 ]
distribution  5: [ 13, 15, 15, 12, 12, 16, 17, 14, 11, 11 ]
distribution  6: [ 13, 15, 16, 14, 12, 14, 17, 16, 13, 12 ]
distribution  7: [ 13, 15, 16, 15, 13, 13, 16, 17, 15, 13 ]
distribution  8: [ 14, 15, 16, 16, 15, 14, 15, 17, 17, 15 ]
distribution  9: [ 15, 15, 16, 16, 16, 15, 15, 17, 18, 17 ]
distribution 10: [ 17, 16, 16, 16, 16, 16, 16, 17, 18, 18 ]
distribution 11: [ 18, 17, 16, 16, 16, 16, 16, 17, 18, 18 ]
distribution 12: [ 18, 18, 17, 16, 16, 16, 16, 17, 18, 18 ]
distribution 13: [ 18, 18, 18, 17, 16, 16, 16, 17, 18, 18 ]
distribution 14: [ 18, 18, 18, 18, 17, 16, 16, 17, 18, 18 ]
distribution 15: [ 18, 18, 18, 18, 18, 17, 16, 17, 18, 18 ]
distribution 16: [ 18, 18, 18, 18, 18, 18, 17, 17, 18, 18 ]
distribution 17: [ 18, 18, 18, 18, 18, 18, 18, 18, 18, 18 ]
So, we need return: [17,18]

distributionOfCandy([10,2,8,22,16,4,10,6,14,20]) === [17,18]

```

```python

USER_FILENAME = "<user_code>"
import sys, json, builtins
import math, heapq, bisect, itertools, functools, collections, statistics, fractions, decimal, operator, array, random, re, string, os, pathlib
try:
    import resource as _res
except Exception:
    _res = None
from collections import Counter, defaultdict, deque, OrderedDict
from functools import lru_cache, reduce
from itertools import accumulate, permutations, combinations, product
from math import gcd, ceil, floor, sqrt
from decimal import Decimal
try:
    from typing import *
except Exception:
    pass
try:
    sys.setrecursionlimit(1_000_000)
except Exception:
    pass
try:
    import site as _site
    try:
        _sys_sites = _site.getsitepackages() if hasattr(_site, "getsitepackages") else []
        for _p in _sys_sites:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
    try:
        _usp = _site.getusersitepackages()
        if isinstance(_usp, str):
            _usp = [_usp]
        for _p in _usp:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
except Exception:
    pass

def _disabled_input(*args, **kwargs):
    raise RuntimeError("input() is disabled in callable mode")
builtins.input = _disabled_input

ns = {"__name__": "__judge__"}  # prevent if __name__ == "__main__" blocks
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = 'def distribution_of_candy(candies):\n    r = 0\n    while len(set(candies)) > 1:\n        r += 1\n        candies = [(c+1)//2 + (candies[i-1]+1)//2 for i,c in enumerate(candies)]\n\n    return [r, candies[0]]'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'distribution_of_candy'
if _fn_name:
    if "Solution" in ns:
        try:
            _obj = ns["Solution"]()
            if hasattr(_obj, _fn_name):
                _target = getattr(_obj, _fn_name)
        except Exception:
            _target = None
    if _target is None and _fn_name in ns and callable(ns[_fn_name]):
        _target = ns[_fn_name]
# Fallback: if there's exactly one user-defined function, use it
if _target is None:
    _cands = [v for k, v in ns.items() if callable(v) and getattr(v, "__module__", "") in ("__judge__", "__main__")]
    _user_funcs = [c for c in _cands if getattr(c, "__name__", "").startswith("_") is False]
    if len(_user_funcs) == 1:
        _target = _user_funcs[0]
if _target is None:
    raise RuntimeError(f"Could not resolve callable '{_fn_name}'")

_raw = sys.stdin.read().strip()
if _raw:
    _parsed = json.loads(_raw)
    if isinstance(_parsed, dict):
        _kwargs = _parsed.get("kwargs", {})
        _args = _parsed.get("args", [])
    else:
        _args, _kwargs = _parsed, {}
else:
    _args, _kwargs = [], {}
if not isinstance(_args, (list, tuple)):
    _args = [_args]
_res = _target(*_args, **_kwargs)
try:
    sys.stdout.write(repr(_res) + "\n")
except Exception:
    pass

```

Measured memory_bytes: 5698