An array of size N x M represents pixels of an image.
Each cell of this array contains an array of size 3 with the pixel's color information: `[R,G,B]`

Convert the color image, into an *average* greyscale image. 

The `[R,G,B]` array contains integers between 0 and 255 for each color. 

To transform a color pixel into a greyscale pixel, average the values of that pixel:
```
p = [R,G,B] => [(R+G+B)/3, (R+G+B)/3, (R+G+B)/3]
```

**Note:** the values for the pixel must be integers, therefore you should round floats to the nearest integer.

## Example

Here's an example of a 2x2 image: 
 
Here's the expected image after transformation:


You are always welcome to check out some of my other katas:

Very Easy (Kyu 8)
Add Numbers
Easy (Kyu 7-6)
Convert Color image to greyscale
Array Transformations
Basic Compression
Find Primes in Range
No Ifs No Buts
Medium (Kyu 5-4)
Identify Frames In An Image
Photoshop Like - Magic Wand
Scientific Notation
Vending Machine - FSA
Find Matching Parenthesis
Hard (Kyu 3-2)
Ascii Art Generator

```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 color_2_grey(colors):\n    for line in colors:\n        for pixel in line:\n            grey = int((sum(pixel)/3)+0.5)\n            pixel[0] = grey\n            pixel[1] = grey\n            pixel[2] = grey\n    return colors'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'color_2_grey'
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: 5432