This is simple version of harder [Square Sums](/kata/square-sums).

# Square sums

Write function `square_sums_row` (or `squareSumsRow`/`SquareSumsRow` depending on language rules) that, given integer number `N` (in range `2..43`), returns array of integers `1..N` arranged in a way, so sum of each 2 consecutive numbers is a square.

Solution is valid if and only if following two criterias are met:
1. Each number in range `1..N` is used once and only once.
2. Sum of each 2 consecutive numbers is a perfect square.

### Example
For N=15 solution could look like this:

`[ 9, 7, 2, 14, 11, 5, 4, 12, 13, 3, 6, 10, 15, 1, 8 ]`

### Verification

1. All numbers are used once and only once. When sorted in ascending order array looks like this:

`[ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ]`

2. Sum of each 2 consecutive numbers is a perfect square:

```
   16    16     16     16     16     16     16
   /+\   /+\    /+\    /+\    /+\    /+\    /+\
[ 9, 7, 2, 14, 11, 5, 4, 12, 13, 3, 6, 10, 15, 1, 8 ]
      \+/    \+/    \+/    \+/    \+/    \+/    \+/
       9     25      9     25      9     25      9

9 = 3*3
16 = 4*4
25 = 5*5
```

If there is no solution, return `false` (or, `None` in scala). For example if `N=5`, then numbers `1,2,3,4,5` cannot be put into square sums row: `1+3=4`, `4+5=9`, but
`2` has no pairs and cannot link `[1,3]` and `[4,5]`

# Have fun!

Harder version of this Kata is [here](/kata/square-sums).

```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 = 'from math import sqrt\n\nclass Graph:\n    def __init__(self, connections):\n        self.n = len(connections)\n        self.connections = connections\n        self.adjacency_matrix = [[0] * (self.n) for _ in range(self.n)]\n\n        for i, j in enumerate(self.connections):\n            for k in j:\n                self.adjacency_matrix[i][k - 1] = 1\n\n    def hamilton(self):\n        for i in range(self.n):\n            visited = [False] * self.n\n            path = []\n\n            def _hamilton(curr):\n                path.append(curr)\n                if len(path) == self.n:\n                    return True\n\n                visited[curr] = True\n                for next in range(self.n):\n                    if self.adjacency_matrix[curr][next] == 1 and not visited[next]:\n                        if _hamilton(next):\n                            return True\n                visited[curr] = False\n                path.pop()\n                return False\n\n            if _hamilton(i):\n                return [n + 1 for n in path]\n\n        return False\n\ndef square_sums_row(n):\n    connections = []\n    temp = []\n    for i in range(1, n + 1):\n        for j in range(1, n + 1):\n            if sqrt(i + j).is_integer():\n                temp.append(j)\n        connections.append([*temp])\n        temp.clear()\n\n    g = Graph(connections)\n    return g.hamilton()\n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'square_sums_row'
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: 8904