You're playing a game called Osu! Here's a simplified version of it. There are n clicks in a game. For each click there are two outcomes: correct or bad. Let us denote correct as "O", bad as "X", then the whole play can be encoded as a sequence of n characters "O" and "X".

Using the play sequence you can calculate the score for the play as follows: for every maximal consecutive "O"s block, add the square of its length (the number of characters "O") to the score. For example, if your play can be encoded as "OOXOOOXXOO", then there's three maximal consecutive "O"s block "OO", "OOO", "OO", so your score will be 2^2 + 3^2 + 2^2 = 17. If there are no correct clicks in a play then the score for the play equals to 0.

You know that the probability to click the i-th (1 ≤ i ≤ n) click correctly is p_{i}. In other words, the i-th character in the play sequence has p_{i} probability to be "O", 1 - p_{i} to be "X". You task is to calculate the expected score for your play.


-----Input-----

The first line contains an integer n (1 ≤ n ≤ 10^5) — the number of clicks. The second line contains n space-separated real numbers p_1, p_2, ..., p_{n} (0 ≤ p_{i} ≤ 1).

There will be at most six digits after the decimal point in the given p_{i}.


-----Output-----

Print a single real number — the expected score for your play. Your answer will be considered correct if its absolute or relative error does not exceed 10^{ - 6}.


-----Examples-----
Input
3
0.5 0.5 0.5

Output
2.750000000000000

Input
4
0.7 0.2 0.1 0.9

Output
2.489200000000000

Input
5
1 1 1 1 1

Output
25.000000000000000



-----Note-----

For the first example. There are 8 possible outcomes. Each has a probability of 0.125.  "OOO"  →  3^2 = 9;  "OOX"  →  2^2 = 4;  "OXO"  →  1^2 + 1^2 = 2;  "OXX"  →  1^2 = 1;  "XOO"  →  2^2 = 4;  "XOX"  →  1^2 = 1;  "XXO"  →  1^2 = 1;  "XXX"  →  0. 

So the expected score is $\frac{9 + 4 + 2 + 1 + 4 + 1 + 1}{8} = 2.75$

```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

ns = {"__name__": "__main__"}
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = 'n = int(input())\np = list(map(float, input().split()))\np.append(0)\ns=[p[0]]*3\ns[2]=0\nans = (2*s[2]+s[1])*(1-p[1])\nfor i in range(1,n):\n    s[0] += 1 - p[i-1]\n    for j in range(2,0,-1):\n        s[j] += s[j-1]\n    for j in range(3):\n        s[j] *= p[i]\n    ans += (2*s[2]+s[1])*(1-p[i+1])\nprint(ans)\n\n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

```

Measured memory_bytes: 13349