/*
 *  unate.c -- routines for dealing with unate functions
 */

#include "espresso.h"

static pset_family abs_covered(pset_family A, register int pick);
static pset_family abs_covered_many(pset_family A, register pset pick_set);
static int abs_select_restricted(pset_family A, pset restrict);

pcover map_cover_to_unate(pset *T)
{
    register unsigned int word_test, word_set, bit_test, bit_set;
    register pcube p, pA;
    pset_family A;
    pcube *T1;
    int ncol, i;

    A = sf_new(CUBELISTSIZE(T), cdata.vars_unate);
    A->count = CUBELISTSIZE(T);
    foreachi_set(A, i, p) {
  (void) set_clear(p, A->sf_size);
    }
    ncol = 0;

    for(i = 0; i < cube.size; i++) {
  if (cdata.part_zeros[i] > 0) {
      assert(ncol <= cdata.vars_unate);

      /* Copy a column from T to A */
      word_test = WHICH_WORD(i);
      bit_test = 1 << WHICH_BIT(i);
      word_set = WHICH_WORD(ncol);
      bit_set = 1 << WHICH_BIT(ncol);

      pA = A->data;
      for(T1 = T+2; (p = *T1++) != 0; ) {
    if ((p[word_test] & bit_test) == 0) {
        pA[word_set] |= bit_set;
    }
    pA += A->wsize;
      }

      ncol++;
  }
    }

    return A;
}

pcover map_unate_to_cover(pset_family A)
{
    register int i, ncol, lp;
    register pcube p, pB;
    int var, nunate, *unate;
    pcube last;
    pset_family B;

    B = sf_new(A->count, cube.size);
    B->count = A->count;

    /* Find the unate variables */
    unate = ALLOC(int, cube.num_vars);
    nunate = 0;
    for(var = 0; var < cube.num_vars; var++) {
  if (cdata.is_unate[var]) {
      unate[nunate++] = var;
  }
    }

    /* Loop for each set of A */
    pB = B->data;
    foreach_set(A, last, p) {

  /* Initialize this set of B */
  INLINEset_fill(pB, cube.size);

  /* Now loop for the unate variables; if the part is in A,
   * then this variable of B should be a single 1 in the unate
   * part.
   */
  for(ncol = 0; ncol < nunate; ncol++) {
      if (is_in_set(p, ncol)) {
    lp = cube.last_part[unate[ncol]];
    for(i = cube.first_part[unate[ncol]]; i <= lp; i++) {
        if (cdata.part_zeros[i] == 0) {
      set_remove(pB, i);
        }
    }
      }
  }
  pB += B->wsize;
    }

    FREE(unate);
    return B;
}

/*
 *  unate_compl
 */

pset_family unate_compl(pset_family A)
{
    register pset p, last;

    /* Make sure A is single-cube containment minimal */
/*    A = sf_rev_contain(A);*/

    foreach_set(A, last, p) {
  PUTSIZE(p, set_ord(p));
    }

    /* Recursively find the complement */
    A = unate_complement(A);

    /* Now, we can guarantee a minimal result by containing the result */
    A = sf_rev_contain(A);
    return A;
}


/*
 *  Assume SIZE(p) records the size of each set
 */
pset_family unate_complement(pset_family A)
                    /* disposes of A */
{
    pset_family Abar;
    register pset p, p1, prestrict;
    register int i;
    int max_i, j;
    unsigned int min_set_ord;

    /* Check for no sets in the matrix -- complement is the universe */
    if (A->count == 0) {
  sf_free(A);
  Abar = sf_new(1, A->sf_size);
  (void) set_clear(GETSET(Abar, Abar->count++), A->sf_size);

    /* Check for a single set in the maxtrix -- compute de Morgan complement */
    } else if (A->count == 1) {
  p = A->data;
  Abar = sf_new(A->sf_size, A->sf_size);
  for(i = 0; i < A->sf_size; i++) {
      if (is_in_set(p, i)) {
    p1 = set_clear(GETSET(Abar, Abar->count++), A->sf_size);
    set_insert(p1, i);
      }
  }
  sf_free(A);

    } else {

  /* Select splitting variable as the variable which belongs to a set
   * of the smallest size, and which has greatest column count
   */
  prestrict = set_new(A->sf_size);
  min_set_ord = A->sf_size + 1;
  foreachi_set(A, i, p) {
      if (SIZE(p) < min_set_ord) {
    set_copy(prestrict, p);
    min_set_ord = SIZE(p);
      } else if (SIZE(p) == min_set_ord) {
    set_or(prestrict, prestrict, p);
      }
  }

  /* Check for no data (shouldn't happen ?) */
  if (min_set_ord == 0) {
      A->count = 0;
      Abar = A;

  /* Check for "essential" columns */
  } else if (min_set_ord == 1) {
      Abar = unate_complement(abs_covered_many(A, prestrict));
      sf_free(A);
      foreachi_set(Abar, i, p) {
    set_or(p, p, prestrict);
      }

  /* else, recur as usual */
  } else {
      max_i = abs_select_restricted(A, prestrict);

      /* Select those rows of A which are not covered by max_i,
       * recursively find all minimal covers of these rows, and
       * then add back in max_i
       */
      Abar = unate_complement(abs_covered(A, max_i));
      foreachi_set(Abar, i, p) {
    set_insert(p, max_i);
      }

      /* Now recur on A with all zero's on column max_i */
      foreachi_set(A, i, p) {
    if (is_in_set(p, max_i)) {
        set_remove(p, max_i);
        j = SIZE(p) - 1;
        PUTSIZE(p, j);
    }
      }

      Abar = sf_append(Abar, unate_complement(A));
  }
  set_free(prestrict);
    }

    return Abar;
}

pset_family exact_minimum_cover(pset_family T)
{
    register pset p, last, p1;
    register int i, n;
    int lev, lvl;
    pset nlast;
    pset_family temp;
    long start = ptime();
    struct {
  pset_family sf;
  int level;
    } stack[32];                /* 32 suffices for 2 ** 32 cubes ! */

    if (T->count <= 0)
  return sf_new(1, T->sf_size);
    for(n = T->count, lev = 0; n != 0; n >>= 1, lev++)   ;

    /* A simple heuristic ordering */
    T = lex_sort(sf_save(T));

    /* Push a full set on the stack to get things started */
    n = 1;
    stack[0].sf = sf_new(1, T->sf_size);
    stack[0].level = lev;
    set_fill(GETSET(stack[0].sf, stack[0].sf->count++), T->sf_size);

    nlast = GETSET(T, T->count - 1);
    foreach_set(T, last, p) {

  /* "unstack" the set into a family */
  temp = sf_new(set_ord(p), T->sf_size);
  for(i = 0; i < T->sf_size; i++)
      if (is_in_set(p, i)) {
    p1 = set_fill(GETSET(temp, temp->count++), T->sf_size);
    set_remove(p1, i);
      }
  stack[n].sf = temp;
  stack[n++].level = lev;

  /* Pop the stack and perform (leveled) intersections */
  while (n > 1 && (stack[n-1].level==stack[n-2].level || p == nlast)) {
      temp = unate_intersect(stack[n-1].sf, stack[n-2].sf, FALSE);
      lvl = MIN(stack[n-1].level, stack[n-2].level) - 1;
      if (debug & MINCOV && lvl < 10) {
    printf("# EXACT_MINCOV[%d]: %4d = %4d x %4d, time = %s\n",
        lvl, temp->count, stack[n-1].sf->count,
        stack[n-2].sf->count, print_time(ptime() - start));
    (void) fflush(stdout);
      }
      sf_free(stack[n-2].sf);
      sf_free(stack[n-1].sf);
      stack[n-2].sf = temp;
      stack[n-2].level = lvl;
      n--;
  }
    }

    temp = stack[0].sf;
    p1 = set_fill(set_new(T->sf_size), T->sf_size);
    foreach_set(temp, last, p)
  INLINEset_diff(p, p1, p);
    set_free(p1);
    if (debug & MINCOV1) {
  printf("MINCOV: family of all minimal coverings is\n");
  sf_print(temp);
    }
    sf_free(T);         /* this is the copy of T we made ... */
    return temp;
}

/*
 *  unate_intersect -- intersect two unate covers
 *
 *  If largest_only is TRUE, then only the largest cube(s) are returned
 */

#define MAGIC 500               /* save 500 cubes before containment */

pset_family unate_intersect(pset_family A, pset_family B, int largest_only)
{
    register pset pi, pj, lasti, lastj, pt;
    pset_family T, Tsave;
    bool save;
    int maxord, ord;

    /* How large should each temporary result cover be ? */
    T = sf_new(MAGIC, A->sf_size);
    Tsave = NULL;
    maxord = 0;
    pt = T->data;

    /* Form pairwise intersection of each set of A with each cube of B */
    foreach_set(A, lasti, pi) {

  foreach_set(B, lastj, pj) {

      save = set_andp(pt, pi, pj);

      /* Check if we want the largest only */
      if (save && largest_only) {
    if ((ord = set_ord(pt)) > maxord) {
        /* discard Tsave and T */
        if (Tsave != NULL) {
      sf_free(Tsave);
      Tsave = NULL;
        }
        pt = T->data;
        T->count = 0;
        /* Re-create pt (which was just thrown away) */
        (void) set_and(pt, pi, pj);
        maxord = ord;
    } else if (ord < maxord) {
        save = FALSE;
    }
      }

      if (save) {
    if (++T->count >= T->capacity) {
        T = sf_contain(T);
        Tsave = (Tsave == NULL) ? T : sf_union(Tsave, T);
        T = sf_new(MAGIC, A->sf_size);
        pt = T->data;
    } else {
        pt += T->wsize;
    }
      }
  }
    }


    /* Contain the final result and merge it into Tsave */
    T = sf_contain(T);
    Tsave = (Tsave == NULL) ? T : sf_union(Tsave, T);

    return Tsave;
}

/*
 *  abs_covered -- after selecting a new column for the selected set,
 *  create a new matrix which is only those rows which are still uncovered
 */
static pset_family
abs_covered(pset_family A, register int pick)
{
    register pset last, p, pdest;
    register pset_family Aprime;

    Aprime = sf_new(A->count, A->sf_size);
    pdest = Aprime->data;
    foreach_set(A, last, p)
  if (! is_in_set(p, pick)) {
      INLINEset_copy(pdest, p);
      Aprime->count++;
      pdest += Aprime->wsize;
  }
    return Aprime;
}


/*
 *  abs_covered_many -- after selecting many columns for ther selected set,
 *  create a new matrix which is only those rows which are still uncovered
 */
static pset_family
abs_covered_many(pset_family A, register pset pick_set)
{
    register pset last, p, pdest;
    register pset_family Aprime;

    Aprime = sf_new(A->count, A->sf_size);
    pdest = Aprime->data;
    foreach_set(A, last, p)
  if (setp_disjoint(p, pick_set)) {
      INLINEset_copy(pdest, p);
      Aprime->count++;
      pdest += Aprime->wsize;
  }
    return Aprime;
}


/*
 *  abs_select_restricted -- select the column of maximum column count which
 *  also belongs to the set "prestrict"; weight each column of a set as
 *  1 / (set_ord(p) - 1).
 */
static int
abs_select_restricted(pset_family A, pset prestrict)
{
    register int i, best_var, best_count, *count;

    /* Sum the elements in these columns */
    count = sf_count_restricted(A, prestrict);

    /* Find which variable has maximum weight */
    best_var = -1;
    best_count = 0;
    for(i = 0; i < A->sf_size; i++) {
  if (count[i] > best_count) {
      best_var = i;
      best_count = count[i];
  }
    }
    FREE(count);

    if (best_var == -1)
  fatal("abs_select_restricted: should not have best_var == -1");

    return best_var;
}
