onnyyonn

from __future__ import division
import numpy as np
from scipy import stats

def mmk_test(v, alpha = 0.05):
    """
    Performs the Modified Mann-Kendall test to check if there is any trend present.
    Based on Mann-Kendall test code by Sat Kumar Tomer. Modified to account for autocorrelation (Hamed and Rao 1998)
    
    Input:

onnyyonn

#include <stdio.h>
#include <string.h>
#include <ctype.h>

int main()
{
    int prob_sudoku[9][9],empty_cell_not[9][9],prob_len,rowcheck=1,columncheck=1,boxcheck=1,going_back_flag=1,repeat,i,j,k,l;
    char problem[100];

    /*INPUT*/

onnyyonn

#include <stdio.h>

int main()
{
    float n=0.0, cat=1.0;
    while(n<=33)
    {
        cat = 2*(2*n+1)/(n+2)*cat;
        n++;
        printf("Catalan no. %2.0f is %1.0f\n",n,cat);