Write a function getMean that takes as parameters an array (arr) and 2 integers (x and y). The function should return the mean between the mean of the the first x elements of the array and the mean of the last y elements of the array.

The mean should be computed if both x and y have values higher than 1 but less or equal to the array's length. Otherwise the function should return -1.

getMean([1,3,2,4], 2, 3) should return 2.5 because: the mean of the the first 2 elements of the array is (1+3)/2=2 and the mean of the last 3 elements of the array is (4+2+3)/3=3 so the mean of those 2 means is (2+3)/2=2.5.

getMean([1,3,2,4], 1, 2) should return -1 because x is not higher than 1.

getMean([1,3,2,4], 2, 8) should return -1 because 8 is higher than the array's length.

```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 operator import truediv\n\n\ndef mean(arr):\n    return truediv(sum(arr), len(arr))\n\n\ndef get_mean(arr, x, y):\n    if min(x, y) < 2 or max(x, y) > len(arr):\n        return -1\n    return truediv(mean(arr[:x]) + mean(arr[-y:]), 2)\n\n\n# # Python 3\n# from statistics import mean\n# \n# \n# def get_mean(arr, x, y):\n#     if min(x, y) < 2 or max(x, y) > len(arr):\n#         return -1\n#     return (mean(arr[:x]) + mean(arr[-y:])) / 2\n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'get_mean'
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: 5718