Final kata of the series (highly recommended to compute [layers](https://www.codewars.com/kata/progressive-spiral-number-position/) and [branch](https://www.codewars.com/kata/progressive-spiral-number-branch/) first to get a good idea), this is a blatant ripoff of [the one offered on AoC](http://adventofcode.com/2017/day/3).

Given a number, return the Manhattan distance considering the core of the spiral (the `1` cell) as 0 and counting each step up, right, down or left to reach a given cell.

For example, using our beloved 5x5 square:

```
17 16 15 14 13    4 3 2 3 4
18 05 04 03 12    3 2 1 2 3
19 06 01 02 11 => 2 1 0 1 2
20 07 08 09 10    3 2 1 2 3
21 22 23 24 25    4 3 2 3 4
```

And thus your code should behave like this:

```python
distance(1) == 0
distance(5) == 2
distance(25) == 4
distance(30) == 5
distance(50) == 7
```

Just be ready for larger numbers, as usual always positive.

*[Dedicated to [swiftest learner I met in a long while](https://www.codewars.com/users/irbekrm/)]*

```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 distance(n):\n    if n==1:\n        return 0\n    i=1\n    while(True):\n        if n<=(2*i-1)**2:\n            break\n        i+=1\n    x=(n-(2*i-3)**2-1)%(2*i-2)\n    h=(2*i-2)//2\n    if x<h:\n        return i+h-x-2\n    else:\n        return i+x-h'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'distance'
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: 5452