# -*- coding: utf-8 -*-

#############
# Libraries #
#############

import sys
input = sys.stdin.readline

import math
#from math import gcd
import bisect
import heapq
from collections import defaultdict
from collections import deque
from collections import Counter
from functools import lru_cache

#############
# Constants #
#############

MOD = 10**9+7
INF = float('inf')
AZ = "abcdefghijklmnopqrstuvwxyz"

#############
# Functions #
#############

######INPUT######
def I(): return int(input().strip())
def S(): return input().strip()
def IL(): return list(map(int,input().split()))
def SL(): return list(map(str,input().split()))
def ILs(n): return list(int(input()) for _ in range(n))
def SLs(n): return list(input().strip() for _ in range(n))
def ILL(n): return [list(map(int, input().split())) for _ in range(n)]
def SLL(n): return [list(map(str, input().split())) for _ in range(n)]

######OUTPUT######
def P(arg): print(arg); return
def Y(): print("Yes"); return
def N(): print("No"); return
def E(): exit()
def PE(arg): print(arg); exit()
def YE(): print("Yes"); exit()
def NE(): print("No"); exit()

#####Shorten#####
def DD(arg): return defaultdict(arg)

#####Inverse#####
def inv(n): return pow(n, MOD-2, MOD)

######Combination######
kaijo_memo = []
def kaijo(n):
  if(len(kaijo_memo) > n): return kaijo_memo[n]
  if(len(kaijo_memo) == 0): kaijo_memo.append(1)
  while(len(kaijo_memo) <= n): kaijo_memo.append(kaijo_memo[-1] * len(kaijo_memo) % MOD)
  return kaijo_memo[n]

gyaku_kaijo_memo = []
def gyaku_kaijo(n):
  if(len(gyaku_kaijo_memo) > n): return gyaku_kaijo_memo[n]
  if(len(gyaku_kaijo_memo) == 0): gyaku_kaijo_memo.append(1)
  while(len(gyaku_kaijo_memo) <= n): gyaku_kaijo_memo.append(gyaku_kaijo_memo[-1] * pow(len(gyaku_kaijo_memo),MOD-2,MOD) % MOD)
  return gyaku_kaijo_memo[n]

def nCr(n,r):
  if n == r: return 1
  if n < r or r < 0: return 0
  ret = 1
  ret = ret * kaijo(n) % MOD
  ret = ret * gyaku_kaijo(r) % MOD
  ret = ret * gyaku_kaijo(n-r) % MOD
  return ret

######Factorization######
def factorization(n):
  arr = []
  temp = n
  for i in range(2, int(-(-n**0.5//1))+1):
    if temp%i==0:
      cnt=0
      while temp%i==0: 
        cnt+=1 
        temp //= i
      arr.append([i, cnt])
  if temp!=1: arr.append([temp, 1])
  if arr==[]: arr.append([n, 1])
  return arr

#####MakeDivisors######
def make_divisors(n):
  divisors = []
  for i in range(1, int(n**0.5)+1):
    if n % i == 0:
      divisors.append(i)
      if i != n // i: 
        divisors.append(n//i)
  return divisors

#####MakePrimes######
def make_primes(N):
  max = int(math.sqrt(N))
  seachList = [i for i in range(2,N+1)]
  primeNum = []
  while seachList[0] <= max:
    primeNum.append(seachList[0])
    tmp = seachList[0]
    seachList = [i for i in seachList if i % tmp != 0]
  primeNum.extend(seachList)
  return primeNum

#####GCD#####
def gcd(a, b):
    while b: a, b = b, a % b
    return a

#####LCM#####
def lcm(a, b):
    return a * b // gcd (a, b)

#####BitCount#####
def count_bit(n):
  count = 0
  while n:
    n &= n-1
    count += 1
  return count

#####ChangeBase#####
def base_10_to_n(X, n):
  if X//n: return base_10_to_n(X//n, n)+[X%n]
  return [X%n]

def base_n_to_10(X, n):
  return sum(int(str(X)[-i-1])*n**i for i in range(len(str(X))))

def base_10_to_n_without_0(X, n):
  X -= 1
  if X//n: return base_10_to_n_without_0(X//n, n)+[X%n]
  return [X%n]

#####IntLog#####
def int_log(n, a):
  count = 0
  while n>=a:
    n //= a
    count += 1
  return count

#############
# Main Code #
#############

import numpy as np

def fft_convolve(f, g):
    """
    数列 (多項式) f, g の畳み込みの計算．上下 15 bitずつ分けて計算することで，
    30 bit以下の整数，長さ 250000 程度の数列での計算が正確に行える．
    """
    Lf, Lg = f.shape[-1], g.shape[-1]
    Lg = g.shape[-1]
    L = Lf + Lg - 1
    fft_len = 1 << L.bit_length()
    fh, fl = f >> 15, f & (1 << 15) - 1
    gh, gl = g >> 15, g & (1 << 15) - 1
 
    def conv(f, g):
        Ff = np.fft.rfft(f, fft_len)
        Fg = np.fft.rfft(g, fft_len)
        h = np.fft.irfft(Ff * Fg)
        return np.rint(h)[..., :L].astype(np.int64) % MOD
 
    x = conv(fl, gl)
    z = conv(fh, gh)
    y = conv(fl + fh, gl + gh) - x - z
    return (x + (y << 15) + (z << 30)) % MOD

def coef_of_generating_function(P, Q, N):
    """compute the coefficient [x^N] P/Q of rational power series.
 
    Parameters
    ----------
    P : np.ndarray
        numerator.
    Q : np.ndarray
        denominator
        Q[0] == 1 and len(Q) == len(P) + 1 is assumed.
    N : int
        The coefficient to compute.
    """
    assert Q[0] == 1 and len(Q) == len(P) + 1
 
    def convolve(f, g):
        return fft_convolve(f, g)
 
    while N:
        Q1 = np.empty_like(Q)
        Q1[::2] = Q[::2]
        Q1[1::2] = MOD - Q[1::2]
        P = convolve(P, Q1)[N & 1::2]
        Q = convolve(Q, Q1)[::2]
        N >>= 1
    return P[0]

  
  
Q = np.array([1,0,-1], np.int64)
for _ in range(4):
    Q = np.convolve(Q, Q)
    
P = np.zeros_like(Q)[:-11]
P[0] = P[1] = 1
for _ in range(10):
    P = np.convolve(P, np.array([1,1]))
  
def f(N):
  return coef_of_generating_function(P, Q, N)

def solve(n):
  if n < 5:
    print(0)
    return
  else:
    print(f(n-5))
    return

q = I()    
for _ in range(q):
  solve(I())


Measured memory_bytes: 27380