/* Algorithm AS 159 Applied Statistics (1981), vol. 30, no. 1
   original (C) Royal Statistical Society 1981

   Generate random two-way table with given marginal totals.

   Heavily pretty edited by Martin Maechler, Dec 2003
   use double precision for integer multiplication (against overflow);
*/

#ifdef HAVE_CONFIG_H
#include <config.h>
#endif

#ifdef ENABLE_NLS
#include <libintl.h>
#define _(String) dgettext ("stats", String)
#else
#define _(String) (String)
#endif

#include <math.h>

#include <R_ext/Random.h>
#include <R_ext/Applic.h>
#include <R_ext/Boolean.h>
#include <R_ext/Error.h>
#include <R_ext/Utils.h>

void
rcont2(int *nrow, int *ncol,
       /* vectors of row and column totals, and their sum ntotal: */
       int *nrowt, int *ncolt, int *ntotal,
       double *fact, int *jwork, int *matrix)
{
    int j, l, m, ia, ib, ic, jc, id, ie, ii, nll, nlm, nr_1, nc_1;
    double x, y, dummy, sumprb;
    Rboolean lsm, lsp;

    nr_1 = *nrow - 1;
    nc_1 = *ncol - 1;

    ib = 0; /* -Wall */

    /* Construct random matrix */
    for (j = 0; j < nc_1; ++j)
	jwork[j] = ncolt[j];

    jc = *ntotal;

    for (l = 0; l < nr_1; ++l) { /* -----  matrix[ l, * ] ----- */
	ia = nrowt[l];
	ic = jc;
	jc -= ia;/* = n_tot - sum(nr[0:l]) */

	for (m = 0; m < nc_1; ++m) {
	    id = jwork[m];
	    ie = ic;
	    ic -= id;
	    ib = ie - ia;
	    ii = ib - id;

	    if (ie == 0) { /* Row [l,] is full, fill rest with zero entries */
		for (j = m; j < nc_1; ++j)
		    matrix[l + j * *nrow] = 0;
		ia = 0;
		break;
	    }

	    /* Generate pseudo-random number */
	    dummy = unif_rand();

	    do {/* Outer Loop */

		/* Compute conditional expected value of MATRIX(L, M) */

		nlm = (int)(ia * (id / (double) ie) + 0.5);
		x = exp(fact[ia] + fact[ib] + fact[ic] + fact[id]
			- fact[ie] - fact[nlm]
			- fact[id - nlm] - fact[ia - nlm] - fact[ii + nlm]);
		if (x >= dummy)
		    break;
		if (x == 0.)/* MM: I haven't seen this anymore */
		    error(_("rcont2 [%d,%d]: exp underflow to 0; algorithm failure"), l, m);

		sumprb = x;
		y = x;
		nll = nlm;

		do {
		    /* Increment entry in row L, column M */
		    j = (int)((id - nlm) * (double)(ia - nlm));
		    lsp = (j == 0);
		    if (!lsp) {
			++nlm;
			x = x * j / ((double) nlm * (ii + nlm));
			sumprb += x;
			if (sumprb >= dummy)
			    goto L160;
		    }

		    do {
			R_CheckUserInterrupt();

			/* Decrement entry in row L, column M */
			j = (int)(nll * (double)(ii + nll));
			lsm = (j == 0);
			if (!lsm) {
			    --nll;
			    y = y * j / ((double) (id - nll) * (ia - nll));
			    sumprb += y;
			    if (sumprb >= dummy) {
				nlm = nll;
				goto L160;
			    }
			    /* else */
			    if (!lsp)
				break;/* to while (!lsp) */
			}
		    } while (!lsm);

		} while (!lsp);

		dummy = sumprb * unif_rand();

	    } while (1);

L160:
	    matrix[l + m * *nrow] = nlm;
	    ia -= nlm;
	    jwork[m] -= nlm;
	}
	matrix[l + nc_1 * *nrow] = ia;/* last column in row l */
    }

    /* Compute entries in last row of MATRIX */
    for (m = 0; m < nc_1; ++m)
	matrix[nr_1 + m * *nrow] = jwork[m];

    matrix[nr_1 + nc_1 * *nrow] = ib - matrix[nr_1 + (nc_1-1) * *nrow];

    return;
}
