// code stolen from
// http://bocoup.com/processing-js/docs/index.php?page=Gaussian%20Blur
std::vector<float> makeBlurWeights(int blurDiameter)
{
int gaussWidth = (blurDiameter * 2) + 1;
// compute the blurDiameter'th row of pascal's triangle
std::vector<float> previous(gaussWidth), pascals(gaussWidth);
float rowSum = 0.;
previous[0] = 1.;
previous[1] = 1.;
for (int r = 2; r <= gaussWidth; ++r) {
rowSum = 0.;
for (int c = 0; c < r; ++c) {
pascals[c] = (c == 0) || (c == r - 1) ?
1. : previous[c] + previous[c - 1];
rowSum += pascals[c];
}
previous = pascals;
}
// normalize the weights
for (int i = 0; i < gaussWidth; ++i)
pascals[i] /= rowSum;
return pascals;
}
int main()
{
int t,n,i,ans;
t=scan();
pascals();
while(t--)
{
n=scan();
ans=0;
for(i=0;i<n;i++)
{
a[i]=scan();
}
if(n==1) printf("1\n");
else
{
for(i=n/2+1;i<=n;i++)
{
ans=(ans+arr[n][i])%MOD;
}
printf("%d\n",ans);
}
}
return 0;
}
int main()
{
int n,r;
scanf("%d %d",&n,&r);
pascals(n);
if(n<r) printf("-1");
else printf("%d",arr[n-1][r-1]);
return 0;
}
int main()
{
ll t,n;
int i;
pascals();
t=scan();
while(t--)
{
n=scan();
for(i=1;i<=64;i++)
{
if(arr[i][i/2]>=n)
{
printf("%d\n",i);
break;
}
}
}
return 0;
}
