The Menger Sponge is a three-dimensional fractal, first described by Karl Menger in 1926.

![Mengers Sponge (Level 0-3)](http://i.imgur.com/V6Rb4Za.jpg)
###### _An illustration of the iterative construction of a Menger sponge_

A method of constructing a Menger Sponge can be visualized as follows:
1. Start from a cube (first part of image).
2. Scale down the cube so that side length is 1/3 of its original, and make 20 copies of it.
3. Place the copies so that they measure the same size as the original cube but without its central parts (next part of image)
4. Repeat the process from step 2 for the new smaller cubes from the previous step.
5. In each iteration (e.g. repeating the last three steps), the effect will be that parts of the cube will be removed, they'll never be added. Menger sponge will always consist of parts will never be removed, regardless of how many iterations you do.

___

An alternative explanation:
1. Start from a cube (first part of image).
2. Devide each cube into 27 equal sized cubes.
3. Remove the middle-cube and the six cubes on each side of the group of 27 cubes (second part of image).
4. Repeat the process from step 2 for the smaller cubes (third and fourth part of image).

## Task
In this kata you will create a function that takes non negative integers (from 0 to n) and return the amount of cubes that the Menger Sponge would have in that specific iteration.


## Example
```
calc_ms(0) == 1
calc_ms(1) == 20
calc_ms(2) == 400
calc_ms(3) == 8000
calc_ms(4) == 160000
calc_ms(5) == 3200000
calc_ms(6) == 64000000
```

Happy coding!

```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 calc_ms(n):\n  return 20 ** n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'calc_ms'
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: 5272