text: /*
   * Copyright 2008-2009 Katholieke Universiteit Leuven
   * Copyright 2014      INRIA Rocquencourt
   *
   * Use of this software is governed by the MIT license
   *
   * Written by Sven Verdoolaege, K.U.Leuven, Departement
   * Computerwetenschappen, Celestijnenlaan 200A, B-3001 Leuven, Belgium
   * and Inria Paris - Rocquencourt, Domaine de Voluceau - Rocquencourt,
   * B.P. 105 - 78153 Le Chesnay, France
   */
  
  #include <isl_ctx_private.h>
  #include <isl_map_private.h>
  #include <isl_lp_private.h>
  #include <isl/map.h>
  #include <isl_mat_private.h>
  #include <isl_vec_private.h>
  #include <isl/set.h>
  #include <isl_seq.h>
  #include <isl_options_private.h>
  #include "isl_equalities.h"
  #include "isl_tab.h"
  #include <isl_sort.h>
  
  #include <bset_to_bmap.c>
  #include <bset_from_bmap.c>
  #include <set_to_map.c>
  
  static __isl_give isl_basic_set *uset_convex_hull_wrap_bounded(
  	__isl_take isl_set *set);
  
  /* Remove redundant
   * constraints.  If the minimal value along the normal of a constraint
   * is the same if the constraint is removed, then the constraint is redundant.
   *
   * Since some constraints may be mutually redundant, sort the constraints
   * first such that constraints that involve existentially quantified
   * variables are considered for removal before those that do not.
   * The sorting is also needed for the use in map_simple_hull.
   *
   * Note that isl_tab_detect_implicit_equalities may also end up
   * marking some constraints as redundant.  Make sure the constraints
   * are preserved and undo those marking such that isl_tab_detect_redundant
   * can consider the constraints in the sorted order.
   *
   * Alternatively, we could have intersected the basic map with the
   * corresponding equality and then checked if the dimension was that
   * of a facet.
   */
  __isl_give isl_basic_map *isl_basic_map_remove_redundancies(
  	__isl_take isl_basic_map *bmap)
  {
  	struct isl_tab *tab;
  
  	if (!bmap)
  		return NULL;
  
  	bmap = isl_basic_map_gauss(bmap, NULL);
  	if (ISL_F_ISSET(bmap, ISL_BASIC_MAP_EMPTY))
  		return bmap;
  	if (ISL_F_ISSET(bmap, ISL_BASIC_MAP_NO_REDUNDANT))
  		return bmap;
  	if (bmap->n_ineq <= 1)
  		return bmap;
  
  	bmap = isl_basic_map_sort_constraints(bmap);
  	tab = isl_tab_from_basic_map(bmap, 0);
  	if (!tab)
  		goto error;
  	tab->preserve = 1;
  	if (isl_tab_detect_implicit_equalities(tab) < 0)
  		goto error;
  	if (isl_tab_restore_redundant(tab) < 0)
  		goto error;
  	tab->preserve = 0;
  	if (isl_tab_detect_redundant(tab) < 0)
  		goto error;
  	bmap = isl_basic_map_update_from_tab(bmap, tab);
  	isl_tab_free(tab);
  	if (!bmap)
  		return NULL;
  	ISL_F_SET(bmap, ISL_BASIC_MAP_NO_IMPLICIT);
  	ISL_F_SET(bmap, ISL_BASIC_MAP_NO_REDUNDANT);
  	return bmap;
  error:
  	isl_tab_free(tab);
  	isl_basic_map_free(bmap);
  	return NULL;
  }
  
  __isl_give isl_basic_set *isl_basic_set_remove_redundancies(
  	__isl_take isl_basic_set *bset)
  {
  	return bset_from_bmap(
  		isl_basic_map_remove_redundancies(bset_to_bmap(bset)));
  }
  
  /* Remove redundant constraints in each of the basic maps.
   */
  __isl_give isl_map *isl_map_remove_redundancies(__isl_take isl_map *map)
  {
  	return isl_map_inline_foreach_basic_map(map,
  					    &isl_basic_map_remove_redundancies);
  }
  
  __isl_give isl_set *isl_set_remove_redundancies(__isl_take isl_set *set)
  {
  	return isl_map_remove_redundancies(set);
  }
  
  /* Check if the set set is bound in the direction of the affine
   * constraint c and if so, set the constant term such that the
   * resulting constraint is a bounding constraint for the set.
   */
  static isl_bool uset_is_bound(__isl_keep isl_set *set, isl_int *c, unsigned len)
  {
  	int first;
  	int j;
  	isl_int opt;
  	isl_int opt_denom;
  
  	isl_int_init(opt);
  	isl_int_init(opt_denom);
  	first = 1;
  	for (j = 0; j < set->n; ++j) {
  		enum isl_lp_result res;
  
  		if (ISL_F_ISSET(set->p[j], ISL_BASIC_SET_EMPTY))
  			continue;
  
  		res = isl_basic_set_solve_lp(set->p[j],
  				0, c, set->ctx->one, &opt, &opt_denom, NULL);
  		if (res == isl_lp_unbounded)
  			break;
  		if (res == isl_lp_error)
  			goto error;
  		if (res == isl_lp_empty) {
  			set->p[j] = isl_basic_set_set_to_empty(set->p[j]);
  			if (!set->p[j])
  				goto error;
  			continue;
  		}
  		if (first || isl_int_is_neg(opt)) {
  			if (!isl_int_is_one(opt_denom))
  				isl_seq_scale(c, c, opt_denom, len);
  			isl_int_sub(c[0], c[0], opt);
  		}
  		first = 0;
  	}
  	isl_int_clear(opt);
  	isl_int_clear(opt_denom);
  	return isl_bool_ok(j >= set->n);
  error:
  	isl_int_clear(opt);
  	isl_int_clear(opt_denom);
  	return isl_bool_error;
  }
  
  static __isl_give isl_set *isl_set_add_basic_set_equality(
  	__isl_take isl_set *set, isl_int *c)
  {
  	int i;
  
  	set = isl_set_cow(set);
  	if (!set)
  		return NULL;
  	for (i = 0; i < set->n; ++i) {
  		set->p[i] = isl_basic_set_add_eq(set->p[i], c);
  		if (!set->p[i])
  			goto error;
  	}
  	return set;
  error:
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Given a union of basic sets, construct the constraints for wrapping
   * a facet around one of its ridges.
   * In particular, if each of n the d-dimensional basic sets i in "set"
   * contains the origin, satisfies the constraints x_1 >= 0 and x_2 >= 0
   * and is defined by the constraints
   *				    [ 1 ]
   *				A_i [ x ]  >= 0
   *
   * then the resulting set is of dimension n*(1+d) and has as constraints
   *
   *				    [ a_i ]
   *				A_i [ x_i ] >= 0
   *
   *				      a_i   >= 0
   *
   *			\sum_i x_{i,1} = 1
   */
  static __isl_give isl_basic_set *wrap_constraints(__isl_keep isl_set *set)
  {
  	struct isl_basic_set *lp;
  	unsigned n_eq;
  	unsigned n_ineq;
  	int i, j, k;
  	isl_size dim, lp_dim;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		return NULL;
  
  	dim += 1;
  	n_eq = 1;
  	n_ineq = set->n;
  	for (i = 0; i < set->n; ++i) {
  		n_eq += set->p[i]->n_eq;
  		n_ineq += set->p[i]->n_ineq;
  	}
  	lp = isl_basic_set_alloc(set->ctx, 0, dim * set->n, 0, n_eq, n_ineq);
  	lp = isl_basic_set_set_rational(lp);
  	if (!lp)
  		return NULL;
  	lp_dim = isl_basic_set_dim(lp, isl_dim_set);
  	if (lp_dim < 0)
  		return isl_basic_set_free(lp);
  	k = isl_basic_set_alloc_equality(lp);
  	isl_int_set_si(lp->eq[k][0], -1);
  	for (i = 0; i < set->n; ++i) {
  		isl_int_set_si(lp->eq[k][1+dim*i], 0);
  		isl_int_set_si(lp->eq[k][1+dim*i+1], 1);
  		isl_seq_clr(lp->eq[k]+1+dim*i+2, dim-2);
  	}
  	for (i = 0; i < set->n; ++i) {
  		k = isl_basic_set_alloc_inequality(lp);
  		isl_seq_clr(lp->ineq[k], 1+lp_dim);
  		isl_int_set_si(lp->ineq[k][1+dim*i], 1);
  
  		for (j = 0; j < set->p[i]->n_eq; ++j) {
  			k = isl_basic_set_alloc_equality(lp);
  			isl_seq_clr(lp->eq[k], 1+dim*i);
  			isl_seq_cpy(lp->eq[k]+1+dim*i, set->p[i]->eq[j], dim);
  			isl_seq_clr(lp->eq[k]+1+dim*(i+1), dim*(set->n-i-1));
  		}
  
  		for (j = 0; j < set->p[i]->n_ineq; ++j) {
  			k = isl_basic_set_alloc_inequality(lp);
  			isl_seq_clr(lp->ineq[k], 1+dim*i);
  			isl_seq_cpy(lp->ineq[k]+1+dim*i, set->p[i]->ineq[j], dim);
  			isl_seq_clr(lp->ineq[k]+1+dim*(i+1), dim*(set->n-i-1));
  		}
  	}
  	return lp;
  }
  
  /* Given a facet "facet" of the convex hull of "set" and a facet "ridge"
   * of that facet, compute the other facet of the convex hull that contains
   * the ridge.
   *
   * We first transform the set such that the facet constraint becomes
   *
   *			x_1 >= 0
   *
   * I.e., the facet lies in
   *
   *			x_1 = 0
   *
   * and on that facet, the constraint that defines the ridge is
   *
   *			x_2 >= 0
   *
   * (This transformation is not strictly needed, all that is needed is
   * that the ridge contains the origin.)
   *
   * Since the ridge contains the origin, the cone of the convex hull
   * will be of the form
   *
   *			x_1 >= 0
   *			x_2 >= a x_1
   *
   * with this second constraint defining the new facet.
   * The constant a is obtained by settting x_1 in the cone of the
   * convex hull to 1 and minimizing x_2.
   * Now, each element in the cone of the convex hull is the sum
   * of elements in the cones of the basic sets.
   * If a_i is the dilation factor of basic set i, then the problem
   * we need to solve is
   *
   *			min \sum_i x_{i,2}
   *			st
   *				\sum_i x_{i,1} = 1
   *				    a_i   >= 0
   *				  [ a_i ]
   *				A [ x_i ] >= 0
   *
   * with
   *				    [  1  ]
   *				A_i [ x_i ] >= 0
   *
   * the constraints of each (transformed) basic set.
   * If a = n/d, then the constraint defining the new facet (in the transformed
   * space) is
   *
   *			-n x_1 + d x_2 >= 0
   *
   * In the original space, we need to take the same combination of the
   * corresponding constraints "facet" and "ridge".
   *
   * If a = -infty = "-1/0", then we just return the original facet constraint.
   * This means that the facet is unbounded, but has a bounded intersection
   * with the union of sets.
   */
  isl_int *isl_set_wrap_facet(__isl_keep isl_set *set,
  	isl_int *facet, isl_int *ridge)
  {
  	int i;
  	isl_ctx *ctx;
  	struct isl_mat *T = NULL;
  	struct isl_basic_set *lp = NULL;
  	struct isl_vec *obj;
  	enum isl_lp_result res;
  	isl_int num, den;
  	isl_size dim;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		return NULL;
  	ctx = set->ctx;
  	set = isl_set_copy(set);
  	set = isl_set_set_rational(set);
  
  	dim += 1;
  	T = isl_mat_alloc(ctx, 3, dim);
  	if (!T)
  		goto error;
  	isl_int_set_si(T->row[0][0], 1);
  	isl_seq_clr(T->row[0]+1, dim - 1);
  	isl_seq_cpy(T->row[1], facet, dim);
  	isl_seq_cpy(T->row[2], ridge, dim);
  	T = isl_mat_right_inverse(T);
  	set = isl_set_preimage(set, T);
  	T = NULL;
  	if (!set)
  		goto error;
  	lp = wrap_constraints(set);
  	obj = isl_vec_alloc(ctx, 1 + dim*set->n);
  	if (!obj)
  		goto error;
  	isl_int_set_si(obj->block.data[0], 0);
  	for (i = 0; i < set->n; ++i) {
  		isl_seq_clr(obj->block.data + 1 + dim*i, 2);
  		isl_int_set_si(obj->block.data[1 + dim*i+2], 1);
  		isl_seq_clr(obj->block.data + 1 + dim*i+3, dim-3);
  	}
  	isl_int_init(num);
  	isl_int_init(den);
  	res = isl_basic_set_solve_lp(lp, 0,
  			    obj->block.data, ctx->one, &num, &den, NULL);
  	if (res == isl_lp_ok) {
  		isl_int_neg(num, num);
  		isl_seq_combine(facet, num, facet, den, ridge, dim);
  		isl_seq_normalize(ctx, facet, dim);
  	}
  	isl_int_clear(num);
  	isl_int_clear(den);
  	isl_vec_free(obj);
  	isl_basic_set_free(lp);
  	isl_set_free(set);
  	if (res == isl_lp_error)
  		return NULL;
  	isl_assert(ctx, res == isl_lp_ok || res == isl_lp_unbounded, 
  		   return NULL);
  	return facet;
  error:
  	isl_basic_set_free(lp);
  	isl_mat_free(T);
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Compute the constraint of a facet of "set".
   *
   * We first compute the intersection with a bounding constraint
   * that is orthogonal to one of the coordinate axes.
   * If the affine hull of this intersection has only one equality,
   * we have found a facet.
   * Otherwise, we wrap the current bounding constraint around
   * one of the equalities of the face (one that is not equal to
   * the current bounding constraint).
   * This process continues until we have found a facet.
   * The dimension of the intersection increases by at least
   * one on each iteration, so termination is guaranteed.
   */
  static __isl_give isl_mat *initial_facet_constraint(__isl_keep isl_set *set)
  {
  	struct isl_set *slice = NULL;
  	struct isl_basic_set *face = NULL;
  	int i;
  	isl_size dim = isl_set_dim(set, isl_dim_set);
  	isl_bool is_bound;
  	isl_mat *bounds = NULL;
  
  	if (dim < 0)
  		return NULL;
  	isl_assert(set->ctx, set->n > 0, goto error);
  	bounds = isl_mat_alloc(set->ctx, 1, 1 + dim);
  	if (!bounds)
  		return NULL;
  
  	isl_seq_clr(bounds->row[0], dim);
  	isl_int_set_si(bounds->row[0][1 + dim - 1], 1);
  	is_bound = uset_is_bound(set, bounds->row[0], 1 + dim);
  	if (is_bound < 0)
  		goto error;
  	isl_assert(set->ctx, is_bound, goto error);
  	isl_seq_normalize(set->ctx, bounds->row[0], 1 + dim);
  	bounds->n_row = 1;
  
  	for (;;) {
  		slice = isl_set_copy(set);
  		slice = isl_set_add_basic_set_equality(slice, bounds->row[0]);
  		face = isl_set_affine_hull(slice);
  		if (!face)
  			goto error;
  		if (face->n_eq == 1) {
  			isl_basic_set_free(face);
  			break;
  		}
  		for (i = 0; i < face->n_eq; ++i)
  			if (!isl_seq_eq(bounds->row[0], face->eq[i], 1 + dim) &&
  			    !isl_seq_is_neg(bounds->row[0],
  						face->eq[i], 1 + dim))
  				break;
  		isl_assert(set->ctx, i < face->n_eq, goto error);
  		if (!isl_set_wrap_facet(set, bounds->row[0], face->eq[i]))
  			goto error;
  		isl_seq_normalize(set->ctx, bounds->row[0], bounds->n_col);
  		isl_basic_set_free(face);
  	}
  
  	return bounds;
  error:
  	isl_basic_set_free(face);
  	isl_mat_free(bounds);
  	return NULL;
  }
  
  /* Given the bounding constraint "c" of a facet of the convex hull of "set",
   * compute a hyperplane description of the facet, i.e., compute the facets
   * of the facet.
   *
   * We compute an affine transformation that transforms the constraint
   *
   *			  [ 1 ]
   *			c [ x ] = 0
   *
   * to the constraint
   *
   *			   z_1  = 0
   *
   * by computing the right inverse U of a matrix that starts with the rows
   *
   *			[ 1 0 ]
   *			[  c  ]
   *
   * Then
   *			[ 1 ]     [ 1 ]
   *			[ x ] = U [ z ]
   * and
   *			[ 1 ]     [ 1 ]
   *			[ z ] = Q [ x ]
   *
   * with Q = U^{-1}
   * Since z_1 is zero, we can drop this variable as well as the corresponding
   * column of U to obtain
   *
   *			[ 1 ]      [ 1  ]
   *			[ x ] = U' [ z' ]
   * and
   *			[ 1  ]      [ 1 ]
   *			[ z' ] = Q' [ x ]
   *
   * with Q' equal to Q, but without the corresponding row.
   * After computing the facets of the facet in the z' space,
   * we convert them back to the x space through Q.
   */
  static __isl_give isl_basic_set *compute_facet(__isl_keep isl_set *set,
  	isl_int *c)
  {
  	struct isl_mat *m, *U, *Q;
  	struct isl_basic_set *facet = NULL;
  	struct isl_ctx *ctx;
  	isl_size dim;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		return NULL;
  	ctx = set->ctx;
  	set = isl_set_copy(set);
  	m = isl_mat_alloc(set->ctx, 2, 1 + dim);
  	if (!m)
  		goto error;
  	isl_int_set_si(m->row[0][0], 1);
  	isl_seq_clr(m->row[0]+1, dim);
  	isl_seq_cpy(m->row[1], c, 1+dim);
  	U = isl_mat_right_inverse(m);
  	Q = isl_mat_right_inverse(isl_mat_copy(U));
  	U = isl_mat_drop_cols(U, 1, 1);
  	Q = isl_mat_drop_rows(Q, 1, 1);
  	set = isl_set_preimage(set, U);
  	facet = uset_convex_hull_wrap_bounded(set);
  	facet = isl_basic_set_preimage(facet, Q);
  	if (facet && facet->n_eq != 0)
  		isl_die(ctx, isl_error_internal, "unexpected equality",
  			return isl_basic_set_free(facet));
  	return facet;
  error:
  	isl_basic_set_free(facet);
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Given an initial facet constraint, compute the remaining facets.
   * We do this by running through all facets found so far and computing
   * the adjacent facets through wrapping, adding those facets that we
   * hadn't already found before.
   *
   * For each facet we have found so far, we first compute its facets
   * in the resulting convex hull.  That is, we compute the ridges
   * of the resulting convex hull contained in the facet.
   * We also compute the corresponding facet in the current approximation
   * of the convex hull.  There is no need to wrap around the ridges
   * in this facet since that would result in a facet that is already
   * present in the current approximation.
   *
   * This function can still be significantly optimized by checking which of
   * the facets of the basic sets are also facets of the convex hull and
   * using all the facets so far to help in constructing the facets of the
   * facets
   * and/or
   * using the technique in section "3.1 Ridge Generation" of
   * "Extended Convex Hull" by Fukuda et al.
   */
  static __isl_give isl_basic_set *extend(__isl_take isl_basic_set *hull,
  	__isl_keep isl_set *set)
  {
  	int i, j, f;
  	int k;
  	struct isl_basic_set *facet = NULL;
  	struct isl_basic_set *hull_facet = NULL;
  	isl_size dim;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0 || !hull)
  		return isl_basic_set_free(hull);
  
  	isl_assert(set->ctx, set->n > 0, goto error);
  
  	for (i = 0; i < hull->n_ineq; ++i) {
  		facet = compute_facet(set, hull->ineq[i]);
  		facet = isl_basic_set_add_eq(facet, hull->ineq[i]);
  		facet = isl_basic_set_gauss(facet, NULL);
  		facet = isl_basic_set_normalize_constraints(facet);
  		hull_facet = isl_basic_set_copy(hull);
  		hull_facet = isl_basic_set_add_eq(hull_facet, hull->ineq[i]);
  		hull_facet = isl_basic_set_gauss(hull_facet, NULL);
  		hull_facet = isl_basic_set_normalize_constraints(hull_facet);
  		if (!facet || !hull_facet)
  			goto error;
  		hull = isl_basic_set_cow(hull);
  		hull = isl_basic_set_extend(hull, 0, 0, facet->n_ineq);
  		if (!hull)
  			goto error;
  		for (j = 0; j < facet->n_ineq; ++j) {
  			for (f = 0; f < hull_facet->n_ineq; ++f)
  				if (isl_seq_eq(facet->ineq[j],
  						hull_facet->ineq[f], 1 + dim))
  					break;
  			if (f < hull_facet->n_ineq)
  				continue;
  			k = isl_basic_set_alloc_inequality(hull);
  			if (k < 0)
  				goto error;
  			isl_seq_cpy(hull->ineq[k], hull->ineq[i], 1+dim);
  			if (!isl_set_wrap_facet(set, hull->ineq[k], facet->ineq[j]))
  				goto error;
  		}
  		isl_basic_set_free(hull_facet);
  		isl_basic_set_free(facet);
  	}
  	hull = isl_basic_set_simplify(hull);
  	hull = isl_basic_set_finalize(hull);
  	return hull;
  error:
  	isl_basic_set_free(hull_facet);
  	isl_basic_set_free(facet);
  	isl_basic_set_free(hull);
  	return NULL;
  }
  
  /* Special case for computing the convex hull of a one dimensional set.
   * We simply collect the lower and upper bounds of each basic set
   * and the biggest of those.
   */
  static __isl_give isl_basic_set *convex_hull_1d(__isl_take isl_set *set)
  {
  	struct isl_mat *c = NULL;
  	isl_int *lower = NULL;
  	isl_int *upper = NULL;
  	int i, j, k;
  	isl_int a, b;
  	struct isl_basic_set *hull;
  
  	for (i = 0; i < set->n; ++i) {
  		set->p[i] = isl_basic_set_simplify(set->p[i]);
  		if (!set->p[i])
  			goto error;
  	}
  	set = isl_set_remove_empty_parts(set);
  	if (!set)
  		goto error;
  	isl_assert(set->ctx, set->n > 0, goto error);
  	c = isl_mat_alloc(set->ctx, 2, 2);
  	if (!c)
  		goto error;
  
  	if (set->p[0]->n_eq > 0) {
  		isl_assert(set->ctx, set->p[0]->n_eq == 1, goto error);
  		lower = c->row[0];
  		upper = c->row[1];
  		if (isl_int_is_pos(set->p[0]->eq[0][1])) {
  			isl_seq_cpy(lower, set->p[0]->eq[0], 2);
  			isl_seq_neg(upper, set->p[0]->eq[0], 2);
  		} else {
  			isl_seq_neg(lower, set->p[0]->eq[0], 2);
  			isl_seq_cpy(upper, set->p[0]->eq[0], 2);
  		}
  	} else {
  		for (j = 0; j < set->p[0]->n_ineq; ++j) {
  			if (isl_int_is_pos(set->p[0]->ineq[j][1])) {
  				lower = c->row[0];
  				isl_seq_cpy(lower, set->p[0]->ineq[j], 2);
  			} else {
  				upper = c->row[1];
  				isl_seq_cpy(upper, set->p[0]->ineq[j], 2);
  			}
  		}
  	}
  
  	isl_int_init(a);
  	isl_int_init(b);
  	for (i = 0; i < set->n; ++i) {
  		struct isl_basic_set *bset = set->p[i];
  		int has_lower = 0;
  		int has_upper = 0;
  
  		for (j = 0; j < bset->n_eq; ++j) {
  			has_lower = 1;
  			has_upper = 1;
  			if (lower) {
  				isl_int_mul(a, lower[0], bset->eq[j][1]);
  				isl_int_mul(b, lower[1], bset->eq[j][0]);
  				if (isl_int_lt(a, b) && isl_int_is_pos(bset->eq[j][1]))
  					isl_seq_cpy(lower, bset->eq[j], 2);
  				if (isl_int_gt(a, b) && isl_int_is_neg(bset->eq[j][1]))
  					isl_seq_neg(lower, bset->eq[j], 2);
  			}
  			if (upper) {
  				isl_int_mul(a, upper[0], bset->eq[j][1]);
  				isl_int_mul(b, upper[1], bset->eq[j][0]);
  				if (isl_int_lt(a, b) && isl_int_is_pos(bset->eq[j][1]))
  					isl_seq_neg(upper, bset->eq[j], 2);
  				if (isl_int_gt(a, b) && isl_int_is_neg(bset->eq[j][1]))
  					isl_seq_cpy(upper, bset->eq[j], 2);
  			}
  		}
  		for (j = 0; j < bset->n_ineq; ++j) {
  			if (isl_int_is_pos(bset->ineq[j][1]))
  				has_lower = 1;
  			if (isl_int_is_neg(bset->ineq[j][1]))
  				has_upper = 1;
  			if (lower && isl_int_is_pos(bset->ineq[j][1])) {
  				isl_int_mul(a, lower[0], bset->ineq[j][1]);
  				isl_int_mul(b, lower[1], bset->ineq[j][0]);
  				if (isl_int_lt(a, b))
  					isl_seq_cpy(lower, bset->ineq[j], 2);
  			}
  			if (upper && isl_int_is_neg(bset->ineq[j][1])) {
  				isl_int_mul(a, upper[0], bset->ineq[j][1]);
  				isl_int_mul(b, upper[1], bset->ineq[j][0]);
  				if (isl_int_gt(a, b))
  					isl_seq_cpy(upper, bset->ineq[j], 2);
  			}
  		}
  		if (!has_lower)
  			lower = NULL;
  		if (!has_upper)
  			upper = NULL;
  	}
  	isl_int_clear(a);
  	isl_int_clear(b);
  
  	hull = isl_basic_set_alloc(set->ctx, 0, 1, 0, 0, 2);
  	hull = isl_basic_set_set_rational(hull);
  	if (!hull)
  		goto error;
  	if (lower) {
  		k = isl_basic_set_alloc_inequality(hull);
  		isl_seq_cpy(hull->ineq[k], lower, 2);
  	}
  	if (upper) {
  		k = isl_basic_set_alloc_inequality(hull);
  		isl_seq_cpy(hull->ineq[k], upper, 2);
  	}
  	hull = isl_basic_set_finalize(hull);
  	isl_set_free(set);
  	isl_mat_free(c);
  	return hull;
  error:
  	isl_set_free(set);
  	isl_mat_free(c);
  	return NULL;
  }
  
  static __isl_give isl_basic_set *convex_hull_0d(__isl_take isl_set *set)
  {
  	struct isl_basic_set *convex_hull;
  
  	if (!set)
  		return NULL;
  
  	if (isl_set_is_empty(set))
  		convex_hull = isl_basic_set_empty(isl_space_copy(set->dim));
  	else
  		convex_hull = isl_basic_set_universe(isl_space_copy(set->dim));
  	isl_set_free(set);
  	return convex_hull;
  }
  
  /* Compute the convex hull of a pair of basic sets without any parameters or
   * integer divisions using Fourier-Motzkin elimination.
   * The convex hull is the set of all points that can be written as
   * the sum of points from both basic sets (in homogeneous coordinates).
   * We set up the constraints in a space with dimensions for each of
   * the three sets and then project out the dimensions corresponding
   * to the two original basic sets, retaining only those corresponding
   * to the convex hull.
   */
  static __isl_give isl_basic_set *convex_hull_pair_elim(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	int i, j, k;
  	struct isl_basic_set *bset[2];
  	struct isl_basic_set *hull = NULL;
  	isl_size dim;
  
  	dim = isl_basic_set_dim(bset1, isl_dim_set);
  	if (dim < 0 || !bset2)
  		goto error;
  
  	hull = isl_basic_set_alloc(bset1->ctx, 0, 2 + 3 * dim, 0,
  				1 + dim + bset1->n_eq + bset2->n_eq,
  				2 + bset1->n_ineq + bset2->n_ineq);
  	bset[0] = bset1;
  	bset[1] = bset2;
  	for (i = 0; i < 2; ++i) {
  		for (j = 0; j < bset[i]->n_eq; ++j) {
  			k = isl_basic_set_alloc_equality(hull);
  			if (k < 0)
  				goto error;
  			isl_seq_clr(hull->eq[k], (i+1) * (1+dim));
  			isl_seq_clr(hull->eq[k]+(i+2)*(1+dim), (1-i)*(1+dim));
  			isl_seq_cpy(hull->eq[k]+(i+1)*(1+dim), bset[i]->eq[j],
  					1+dim);
  		}
  		for (j = 0; j < bset[i]->n_ineq; ++j) {
  			k = isl_basic_set_alloc_inequality(hull);
  			if (k < 0)
  				goto error;
  			isl_seq_clr(hull->ineq[k], (i+1) * (1+dim));
  			isl_seq_clr(hull->ineq[k]+(i+2)*(1+dim), (1-i)*(1+dim));
  			isl_seq_cpy(hull->ineq[k]+(i+1)*(1+dim),
  					bset[i]->ineq[j], 1+dim);
  		}
  		k = isl_basic_set_alloc_inequality(hull);
  		if (k < 0)
  			goto error;
  		isl_seq_clr(hull->ineq[k], 1+2+3*dim);
  		isl_int_set_si(hull->ineq[k][(i+1)*(1+dim)], 1);
  	}
  	for (j = 0; j < 1+dim; ++j) {
  		k = isl_basic_set_alloc_equality(hull);
  		if (k < 0)
  			goto error;
  		isl_seq_clr(hull->eq[k], 1+2+3*dim);
  		isl_int_set_si(hull->eq[k][j], -1);
  		isl_int_set_si(hull->eq[k][1+dim+j], 1);
  		isl_int_set_si(hull->eq[k][2*(1+dim)+j], 1);
  	}
  	hull = isl_basic_set_set_rational(hull);
  	hull = isl_basic_set_remove_dims(hull, isl_dim_set, dim, 2*(1+dim));
  	hull = isl_basic_set_remove_redundancies(hull);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return hull;
  error:
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	isl_basic_set_free(hull);
  	return NULL;
  }
  
  /* Is the set bounded for each value of the parameters?
   */
  isl_bool isl_basic_set_is_bounded(__isl_keep isl_basic_set *bset)
  {
  	struct isl_tab *tab;
  	isl_bool bounded;
  
  	if (!bset)
  		return isl_bool_error;
  	if (isl_basic_set_plain_is_empty(bset))
  		return isl_bool_true;
  
  	tab = isl_tab_from_recession_cone(bset, 1);
  	bounded = isl_tab_cone_is_bounded(tab);
  	isl_tab_free(tab);
  	return bounded;
  }
  
  /* Is the image bounded for each value of the parameters and
   * the domain variables?
   */
  isl_bool isl_basic_map_image_is_bounded(__isl_keep isl_basic_map *bmap)
  {
  	isl_size nparam = isl_basic_map_dim(bmap, isl_dim_param);
  	isl_size n_in = isl_basic_map_dim(bmap, isl_dim_in);
  	isl_bool bounded;
  
  	if (nparam < 0 || n_in < 0)
  		return isl_bool_error;
  
  	bmap = isl_basic_map_copy(bmap);
  	bmap = isl_basic_map_cow(bmap);
  	bmap = isl_basic_map_move_dims(bmap, isl_dim_param, nparam,
  					isl_dim_in, 0, n_in);
  	bounded = isl_basic_set_is_bounded(bset_from_bmap(bmap));
  	isl_basic_map_free(bmap);
  
  	return bounded;
  }
  
  /* Is the set bounded for each value of the parameters?
   */
  isl_bool isl_set_is_bounded(__isl_keep isl_set *set)
  {
  	int i;
  
  	if (!set)
  		return isl_bool_error;
  
  	for (i = 0; i < set->n; ++i) {
  		isl_bool bounded = isl_basic_set_is_bounded(set->p[i]);
  		if (!bounded || bounded < 0)
  			return bounded;
  	}
  	return isl_bool_true;
  }
  
  /* Compute the lineality space of the convex hull of bset1 and bset2.
   *
   * We first compute the intersection of the recession cone of bset1
   * with the negative of the recession cone of bset2 and then compute
   * the linear hull of the resulting cone.
   */
  static __isl_give isl_basic_set *induced_lineality_space(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	int i, k;
  	struct isl_basic_set *lin = NULL;
  	isl_size dim;
  
  	dim = isl_basic_set_dim(bset1, isl_dim_all);
  	if (dim < 0 || !bset2)
  		goto error;
  
  	lin = isl_basic_set_alloc_space(isl_basic_set_get_space(bset1), 0,
  					bset1->n_eq + bset2->n_eq,
  					bset1->n_ineq + bset2->n_ineq);
  	lin = isl_basic_set_set_rational(lin);
  	if (!lin)
  		goto error;
  	for (i = 0; i < bset1->n_eq; ++i) {
  		k = isl_basic_set_alloc_equality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->eq[k][0], 0);
  		isl_seq_cpy(lin->eq[k] + 1, bset1->eq[i] + 1, dim);
  	}
  	for (i = 0; i < bset1->n_ineq; ++i) {
  		k = isl_basic_set_alloc_inequality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->ineq[k][0], 0);
  		isl_seq_cpy(lin->ineq[k] + 1, bset1->ineq[i] + 1, dim);
  	}
  	for (i = 0; i < bset2->n_eq; ++i) {
  		k = isl_basic_set_alloc_equality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->eq[k][0], 0);
  		isl_seq_neg(lin->eq[k] + 1, bset2->eq[i] + 1, dim);
  	}
  	for (i = 0; i < bset2->n_ineq; ++i) {
  		k = isl_basic_set_alloc_inequality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->ineq[k][0], 0);
  		isl_seq_neg(lin->ineq[k] + 1, bset2->ineq[i] + 1, dim);
  	}
  
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return isl_basic_set_affine_hull(lin);
  error:
  	isl_basic_set_free(lin);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return NULL;
  }
  
  static __isl_give isl_basic_set *uset_convex_hull(__isl_take isl_set *set);
  
  /* Given a set and a linear space "lin" of dimension n > 0,
   * project the linear space from the set, compute the convex hull
   * and then map the set back to the original space.
   *
   * Let
   *
   *	M x = 0
   *
   * describe the linear space.  We first compute the Hermite normal
   * form H = M U of M = H Q, to obtain
   *
   *	H Q x = 0
   *
   * The last n rows of H will be zero, so the last n variables of x' = Q x
   * are the one we want to project out.  We do this by transforming each
   * basic set A x >= b to A U x' >= b and then removing the last n dimensions.
   * After computing the convex hull in x'_1, i.e., A' x'_1 >= b',
   * we transform the hull back to the original space as A' Q_1 x >= b',
   * with Q_1 all but the last n rows of Q.
   */
  static __isl_give isl_basic_set *modulo_lineality(__isl_take isl_set *set,
  	__isl_take isl_basic_set *lin)
  {
  	isl_size total = isl_basic_set_dim(lin, isl_dim_all);
  	unsigned lin_dim;
  	struct isl_basic_set *hull;
  	struct isl_mat *M, *U, *Q;
  
  	if (!set || total < 0)
  		goto error;
  	lin_dim = total - lin->n_eq;
  	M = isl_mat_sub_alloc6(set->ctx, lin->eq, 0, lin->n_eq, 1, total);
  	M = isl_mat_left_hermite(M, 0, &U, &Q);
  	if (!M)
  		goto error;
  	isl_mat_free(M);
  	isl_basic_set_free(lin);
  
  	Q = isl_mat_drop_rows(Q, Q->n_row - lin_dim, lin_dim);
  
  	U = isl_mat_lin_to_aff(U);
  	Q = isl_mat_lin_to_aff(Q);
  
  	set = isl_set_preimage(set, U);
  	set = isl_set_remove_dims(set, isl_dim_set, total - lin_dim, lin_dim);
  	hull = uset_convex_hull(set);
  	hull = isl_basic_set_preimage(hull, Q);
  
  	return hull;
  error:
  	isl_basic_set_free(lin);
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Given two polyhedra with as constraints h_{ij} x >= 0 in homegeneous space,
   * set up an LP for solving
   *
   *	\sum_j \alpha_{1j} h_{1j} = \sum_j \alpha_{2j} h_{2j}
   *
   * \alpha{i0} corresponds to the (implicit) positivity constraint 1 >= 0
   * The next \alpha{ij} correspond to the equalities and come in pairs.
   * The final \alpha{ij} correspond to the inequalities.
   */
  static __isl_give isl_basic_set *valid_direction_lp(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	isl_space *space;
  	struct isl_basic_set *lp;
  	unsigned d;
  	int n;
  	int i, j, k;
  	isl_size total;
  
  	total = isl_basic_set_dim(bset1, isl_dim_all);
  	if (total < 0 || !bset2)
  		goto error;
  	d = 1 + total;
  	n = 2 +
  	    2 * bset1->n_eq + bset1->n_ineq + 2 * bset2->n_eq + bset2->n_ineq;
  	space = isl_space_set_alloc(bset1->ctx, 0, n);
  	lp = isl_basic_set_alloc_space(space, 0, d, n);
  	if (!lp)
  		goto error;
  	for (i = 0; i < n; ++i) {
  		k = isl_basic_set_alloc_inequality(lp);
  		if (k < 0)
  			goto error;
  		isl_seq_clr(lp->ineq[k] + 1, n);
  		isl_int_set_si(lp->ineq[k][0], -1);
  		isl_int_set_si(lp->ineq[k][1 + i], 1);
  	}
  	for (i = 0; i < d; ++i) {
  		k = isl_basic_set_alloc_equality(lp);
  		if (k < 0)
  			goto error;
  		n = 0;
  		isl_int_set_si(lp->eq[k][n], 0); n++;
  		/* positivity constraint 1 >= 0 */
  		isl_int_set_si(lp->eq[k][n], i == 0); n++;
  		for (j = 0; j < bset1->n_eq; ++j) {
  			isl_int_set(lp->eq[k][n], bset1->eq[j][i]); n++;
  			isl_int_neg(lp->eq[k][n], bset1->eq[j][i]); n++;
  		}
  		for (j = 0; j < bset1->n_ineq; ++j) {
  			isl_int_set(lp->eq[k][n], bset1->ineq[j][i]); n++;
  		}
  		/* positivity constraint 1 >= 0 */
  		isl_int_set_si(lp->eq[k][n], -(i == 0)); n++;
  		for (j = 0; j < bset2->n_eq; ++j) {
  			isl_int_neg(lp->eq[k][n], bset2->eq[j][i]); n++;
  			isl_int_set(lp->eq[k][n], bset2->eq[j][i]); n++;
  		}
  		for (j = 0; j < bset2->n_ineq; ++j) {
  			isl_int_neg(lp->eq[k][n], bset2->ineq[j][i]); n++;
  		}
  	}
  	lp = isl_basic_set_gauss(lp, NULL);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return lp;
  error:
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return NULL;
  }
  
  /* Compute a vector s in the homogeneous space such that <s, r> > 0
   * for all rays in the homogeneous space of the two cones that correspond
   * to the input polyhedra bset1 and bset2.
   *
   * We compute s as a vector that satisfies
   *
   *	s = \sum_j \alpha_{ij} h_{ij}	for i = 1,2			(*)
   *
   * with h_{ij} the normals of the facets of polyhedron i
   * (including the "positivity constraint" 1 >= 0) and \alpha_{ij}
   * strictly positive numbers.  For simplicity we impose \alpha_{ij} >= 1.
   * We first set up an LP with as variables the \alpha{ij}.
   * In this formulation, for each polyhedron i,
   * the first constraint is the positivity constraint, followed by pairs
   * of variables for the equalities, followed by variables for the inequalities.
   * We then simply pick a feasible solution and compute s using (*).
   *
   * Note that we simply pick any valid direction and make no attempt
   * to pick a "good" or even the "best" valid direction.
   */
  static __isl_give isl_vec *valid_direction(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	struct isl_basic_set *lp;
  	struct isl_tab *tab;
  	struct isl_vec *sample = NULL;
  	struct isl_vec *dir;
  	isl_size d;
  	int i;
  	int n;
  
  	if (!bset1 || !bset2)
  		goto error;
  	lp = valid_direction_lp(isl_basic_set_copy(bset1),
  				isl_basic_set_copy(bset2));
  	tab = isl_tab_from_basic_set(lp, 0);
  	sample = isl_tab_get_sample_value(tab);
  	isl_tab_free(tab);
  	isl_basic_set_free(lp);
  	if (!sample)
  		goto error;
  	d = isl_basic_set_dim(bset1, isl_dim_all);
  	if (d < 0)
  		goto error;
  	dir = isl_vec_alloc(bset1->ctx, 1 + d);
  	if (!dir)
  		goto error;
  	isl_seq_clr(dir->block.data + 1, dir->size - 1);
  	n = 1;
  	/* positivity constraint 1 >= 0 */
  	isl_int_set(dir->block.data[0], sample->block.data[n]); n++;
  	for (i = 0; i < bset1->n_eq; ++i) {
  		isl_int_sub(sample->block.data[n],
  			    sample->block.data[n], sample->block.data[n+1]);
  		isl_seq_combine(dir->block.data,
  				bset1->ctx->one, dir->block.data,
  				sample->block.data[n], bset1->eq[i], 1 + d);
  
  		n += 2;
  	}
  	for (i = 0; i < bset1->n_ineq; ++i)
  		isl_seq_combine(dir->block.data,
  				bset1->ctx->one, dir->block.data,
  				sample->block.data[n++], bset1->ineq[i], 1 + d);
  	isl_vec_free(sample);
  	isl_seq_normalize(bset1->ctx, dir->el, dir->size);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return dir;
  error:
  	isl_vec_free(sample);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return NULL;
  }
  
  /* Given a polyhedron b_i + A_i x >= 0 and a map T = S^{-1},
   * compute b_i' + A_i' x' >= 0, with
   *
   *	[ b_i A_i ]        [ y' ]		              [ y' ]
   *	[  1   0  ] S^{-1} [ x' ] >= 0	or	[ b_i' A_i' ] [ x' ] >= 0
   *
   * In particular, add the "positivity constraint" and then perform
   * the mapping.
   */
  static __isl_give isl_basic_set *homogeneous_map(__isl_take isl_basic_set *bset,
  	__isl_take isl_mat *T)
  {
  	int k;
  	isl_size total;
  
  	total = isl_basic_set_dim(bset, isl_dim_all);
  	if (total < 0)
  		goto error;
  	bset = isl_basic_set_extend_constraints(bset, 0, 1);
  	k = isl_basic_set_alloc_inequality(bset);
  	if (k < 0)
  		goto error;
  	isl_seq_clr(bset->ineq[k] + 1, total);
  	isl_int_set_si(bset->ineq[k][0], 1);
  	bset = isl_basic_set_preimage(bset, T);
  	return bset;
  error:
  	isl_mat_free(T);
  	isl_basic_set_free(bset);
  	return NULL;
  }
  
  /* Compute the convex hull of a pair of basic sets without any parameters or
   * integer divisions, where the convex hull is known to be pointed,
   * but the basic sets may be unbounded.
   *
   * We turn this problem into the computation of a convex hull of a pair
   * _bounded_ polyhedra by "changing the direction of the homogeneous
   * dimension".  This idea is due to Matthias Koeppe.
   *
   * Consider the cones in homogeneous space that correspond to the
   * input polyhedra.  The rays of these cones are also rays of the
   * polyhedra if the coordinate that corresponds to the homogeneous
   * dimension is zero.  That is, if the inner product of the rays
   * with the homogeneous direction is zero.
   * The cones in the homogeneous space can also be considered to
   * correspond to other pairs of polyhedra by chosing a different
   * homogeneous direction.  To ensure that both of these polyhedra
   * are bounded, we need to make sure that all rays of the cones
   * correspond to vertices and not to rays.
   * Let s be a direction such that <s, r> > 0 for all rays r of both cones.
   * Then using s as a homogeneous direction, we obtain a pair of polytopes.
   * The vector s is computed in valid_direction.
   *
   * Note that we need to consider _all_ rays of the cones and not just
   * the rays that correspond to rays in the polyhedra.  If we were to
   * only consider those rays and turn them into vertices, then we
   * may inadvertently turn some vertices into rays.
   *
   * The standard homogeneous direction is the unit vector in the 0th coordinate.
   * We therefore transform the two polyhedra such that the selected
   * direction is mapped onto this standard direction and then proceed
   * with the normal computation.
   * Let S be a non-singular square matrix with s as its first row,
   * then we want to map the polyhedra to the space
   *
   *	[ y' ]     [ y ]		[ y ]          [ y' ]
   *	[ x' ] = S [ x ]	i.e.,	[ x ] = S^{-1} [ x' ]
   *
   * We take S to be the unimodular completion of s to limit the growth
   * of the coefficients in the following computations.
   *
   * Let b_i + A_i x >= 0 be the constraints of polyhedron i.
   * We first move to the homogeneous dimension
   *
   *	b_i y + A_i x >= 0		[ b_i A_i ] [ y ]    [ 0 ]
   *	    y         >= 0	or	[  1   0  ] [ x ] >= [ 0 ]
   *
   * Then we change directoin
   *
   *	[ b_i A_i ]        [ y' ]		              [ y' ]
   *	[  1   0  ] S^{-1} [ x' ] >= 0	or	[ b_i' A_i' ] [ x' ] >= 0
   *
   * Then we compute the convex hull of the polytopes b_i' + A_i' x' >= 0
   * resulting in b' + A' x' >= 0, which we then convert back
   *
   *	            [ y ]		        [ y ]
   *	[ b' A' ] S [ x ] >= 0	or	[ b A ] [ x ] >= 0
   *
   * The polyhedron b + A x >= 0 is then the convex hull of the input polyhedra.
   */
  static __isl_give isl_basic_set *convex_hull_pair_pointed(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	struct isl_ctx *ctx = NULL;
  	struct isl_vec *dir = NULL;
  	struct isl_mat *T = NULL;
  	struct isl_mat *T2 = NULL;
  	struct isl_basic_set *hull;
  	struct isl_set *set;
  
  	if (!bset1 || !bset2)
  		goto error;
  	ctx = isl_basic_set_get_ctx(bset1);
  	dir = valid_direction(isl_basic_set_copy(bset1),
  				isl_basic_set_copy(bset2));
  	if (!dir)
  		goto error;
  	T = isl_mat_alloc(ctx, dir->size, dir->size);
  	if (!T)
  		goto error;
  	isl_seq_cpy(T->row[0], dir->block.data, dir->size);
  	T = isl_mat_unimodular_complete(T, 1);
  	T2 = isl_mat_right_inverse(isl_mat_copy(T));
  
  	bset1 = homogeneous_map(bset1, isl_mat_copy(T2));
  	bset2 = homogeneous_map(bset2, T2);
  	set = isl_set_alloc_space(isl_basic_set_get_space(bset1), 2, 0);
  	set = isl_set_add_basic_set(set, bset1);
  	set = isl_set_add_basic_set(set, bset2);
  	hull = uset_convex_hull(set);
  	hull = isl_basic_set_preimage(hull, T);
  	 
  	isl_vec_free(dir);
  
  	return hull;
  error:
  	isl_vec_free(dir);
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return NULL;
  }
  
  static __isl_give isl_basic_set *uset_convex_hull_wrap(__isl_take isl_set *set);
  static __isl_give isl_basic_set *modulo_affine_hull(
  	__isl_take isl_set *set, __isl_take isl_basic_set *affine_hull);
  
  /* Compute the convex hull of a pair of basic sets without any parameters or
   * integer divisions.
   *
   * This function is called from uset_convex_hull_unbounded, which
   * means that the complete convex hull is unbounded.  Some pairs
   * of basic sets may still be bounded, though.
   * They may even lie inside a lower dimensional space, in which
   * case they need to be handled inside their affine hull since
   * the main algorithm assumes that the result is full-dimensional.
   *
   * If the convex hull of the two basic sets would have a non-trivial
   * lineality space, we first project out this lineality space.
   */
  static __isl_give isl_basic_set *convex_hull_pair(
  	__isl_take isl_basic_set *bset1, __isl_take isl_basic_set *bset2)
  {
  	isl_basic_set *lin, *aff;
  	isl_bool bounded1, bounded2;
  	isl_size total;
  
  	if (bset1->ctx->opt->convex == ISL_CONVEX_HULL_FM)
  		return convex_hull_pair_elim(bset1, bset2);
  
  	aff = isl_set_affine_hull(isl_basic_set_union(isl_basic_set_copy(bset1),
  						    isl_basic_set_copy(bset2)));
  	if (!aff)
  		goto error;
  	if (aff->n_eq != 0) 
  		return modulo_affine_hull(isl_basic_set_union(bset1, bset2), aff);
  	isl_basic_set_free(aff);
  
  	bounded1 = isl_basic_set_is_bounded(bset1);
  	bounded2 = isl_basic_set_is_bounded(bset2);
  
  	if (bounded1 < 0 || bounded2 < 0)
  		goto error;
  
  	if (bounded1 && bounded2)
  		return uset_convex_hull_wrap(isl_basic_set_union(bset1, bset2));
  
  	if (bounded1 || bounded2)
  		return convex_hull_pair_pointed(bset1, bset2);
  
  	lin = induced_lineality_space(isl_basic_set_copy(bset1),
  				      isl_basic_set_copy(bset2));
  	if (!lin)
  		goto error;
  	if (isl_basic_set_plain_is_universe(lin)) {
  		isl_basic_set_free(bset1);
  		isl_basic_set_free(bset2);
  		return lin;
  	}
  	total = isl_basic_set_dim(lin, isl_dim_all);
  	if (lin->n_eq < total) {
  		struct isl_set *set;
  		set = isl_set_alloc_space(isl_basic_set_get_space(bset1), 2, 0);
  		set = isl_set_add_basic_set(set, bset1);
  		set = isl_set_add_basic_set(set, bset2);
  		return modulo_lineality(set, lin);
  	}
  	isl_basic_set_free(lin);
  	if (total < 0)
  		goto error;
  
  	return convex_hull_pair_pointed(bset1, bset2);
  error:
  	isl_basic_set_free(bset1);
  	isl_basic_set_free(bset2);
  	return NULL;
  }
  
  /* Compute the lineality space of a basic set.
   * We basically just drop the constants and turn every inequality
   * into an equality.
   * Any explicit representations of local variables are removed
   * because they may no longer be valid representations
   * in the lineality space.
   */
  __isl_give isl_basic_set *isl_basic_set_lineality_space(
  	__isl_take isl_basic_set *bset)
  {
  	int i, k;
  	struct isl_basic_set *lin = NULL;
  	isl_size n_div, dim;
  
  	n_div = isl_basic_set_dim(bset, isl_dim_div);
  	dim = isl_basic_set_dim(bset, isl_dim_all);
  	if (n_div < 0 || dim < 0)
  		return isl_basic_set_free(bset);
  
  	lin = isl_basic_set_alloc_space(isl_basic_set_get_space(bset),
  					n_div, dim, 0);
  	for (i = 0; i < n_div; ++i)
  		if (isl_basic_set_alloc_div(lin) < 0)
  			goto error;
  	if (!lin)
  		goto error;
  	for (i = 0; i < bset->n_eq; ++i) {
  		k = isl_basic_set_alloc_equality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->eq[k][0], 0);
  		isl_seq_cpy(lin->eq[k] + 1, bset->eq[i] + 1, dim);
  	}
  	lin = isl_basic_set_gauss(lin, NULL);
  	if (!lin)
  		goto error;
  	for (i = 0; i < bset->n_ineq && lin->n_eq < dim; ++i) {
  		k = isl_basic_set_alloc_equality(lin);
  		if (k < 0)
  			goto error;
  		isl_int_set_si(lin->eq[k][0], 0);
  		isl_seq_cpy(lin->eq[k] + 1, bset->ineq[i] + 1, dim);
  		lin = isl_basic_set_gauss(lin, NULL);
  		if (!lin)
  			goto error;
  	}
  	isl_basic_set_free(bset);
  	return lin;
  error:
  	isl_basic_set_free(lin);
  	isl_basic_set_free(bset);
  	return NULL;
  }
  
  /* Compute the (linear) hull of the lineality spaces of the basic sets in the
   * set "set".
   */
  __isl_give isl_basic_set *isl_set_combined_lineality_space(
  	__isl_take isl_set *set)
  {
  	int i;
  	struct isl_set *lin = NULL;
  
  	if (!set)
  		return NULL;
  	if (set->n == 0) {
  		isl_space *space = isl_set_get_space(set);
  		isl_set_free(set);
  		return isl_basic_set_empty(space);
  	}
  
  	lin = isl_set_alloc_space(isl_set_get_space(set), set->n, 0);
  	for (i = 0; i < set->n; ++i)
  		lin = isl_set_add_basic_set(lin,
  		    isl_basic_set_lineality_space(isl_basic_set_copy(set->p[i])));
  	isl_set_free(set);
  	return isl_set_affine_hull(lin);
  }
  
  /* Compute the convex hull of a set without any parameters or
   * integer divisions.
   * In each step, we combined two basic sets until only one
   * basic set is left.
   * The input basic sets are assumed not to have a non-trivial
   * lineality space.  If any of the intermediate results has
   * a non-trivial lineality space, it is projected out.
   */
  static __isl_give isl_basic_set *uset_convex_hull_unbounded(
  	__isl_take isl_set *set)
  {
  	isl_basic_set_list *list;
  
  	list = isl_set_get_basic_set_list(set);
  	isl_set_free(set);
  
  	while (list) {
  		isl_size n, total;
  		struct isl_basic_set *t;
  		isl_basic_set *bset1, *bset2;
  
  		n = isl_basic_set_list_n_basic_set(list);
  		if (n < 0)
  			goto error;
  		if (n < 2)
  			isl_die(isl_basic_set_list_get_ctx(list),
  				isl_error_internal,
  				"expecting at least two elements", goto error);
  		bset1 = isl_basic_set_list_get_basic_set(list, n - 1);
  		bset2 = isl_basic_set_list_get_basic_set(list, n - 2);
  		bset1 = convex_hull_pair(bset1, bset2);
  		if (n == 2) {
  			isl_basic_set_list_free(list);
  			return bset1;
  		}
  		bset1 = isl_basic_set_underlying_set(bset1);
  		list = isl_basic_set_list_drop(list, n - 2, 2);
  		list = isl_basic_set_list_add(list, bset1);
  
  		t = isl_basic_set_list_get_basic_set(list, n - 2);
  		t = isl_basic_set_lineality_space(t);
  		if (!t)
  			goto error;
  		if (isl_basic_set_plain_is_universe(t)) {
  			isl_basic_set_list_free(list);
  			return t;
  		}
  		total = isl_basic_set_dim(t, isl_dim_all);
  		if (t->n_eq < total) {
  			set = isl_basic_set_list_union(list);
  			return modulo_lineality(set, t);
  		}
  		isl_basic_set_free(t);
  		if (total < 0)
  			goto error;
  	}
  
  	return NULL;
  error:
  	isl_basic_set_list_free(list);
  	return NULL;
  }
  
  /* Compute an initial hull for wrapping containing a single initial
   * facet.
   * This function assumes that the given set is bounded.
   */
  static __isl_give isl_basic_set *initial_hull(__isl_take isl_basic_set *hull,
  	__isl_keep isl_set *set)
  {
  	struct isl_mat *bounds = NULL;
  	isl_size dim;
  	int k;
  
  	if (!hull)
  		goto error;
  	bounds = initial_facet_constraint(set);
  	if (!bounds)
  		goto error;
  	k = isl_basic_set_alloc_inequality(hull);
  	if (k < 0)
  		goto error;
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		goto error;
  	isl_assert(set->ctx, 1 + dim == bounds->n_col, goto error);
  	isl_seq_cpy(hull->ineq[k], bounds->row[0], bounds->n_col);
  	isl_mat_free(bounds);
  
  	return hull;
  error:
  	isl_basic_set_free(hull);
  	isl_mat_free(bounds);
  	return NULL;
  }
  
  struct max_constraint {
  	struct isl_mat *c;
  	int	 	count;
  	int		ineq;
  };
  
  static isl_bool max_constraint_equal(const void *entry, const void *val)
  {
  	struct max_constraint *a = (struct max_constraint *)entry;
  	isl_int *b = (isl_int *)val;
  
  	return isl_bool_ok(isl_seq_eq(a->c->row[0] + 1, b, a->c->n_col - 1));
  }
  
  static isl_stat update_constraint(struct isl_ctx *ctx,
  	struct isl_hash_table *table,
  	isl_int *con, unsigned len, int n, int ineq)
  {
  	struct isl_hash_table_entry *entry;
  	struct max_constraint *c;
  	uint32_t c_hash;
  
  	c_hash = isl_seq_get_hash(con + 1, len);
  	entry = isl_hash_table_find(ctx, table, c_hash, max_constraint_equal,
  			con + 1, 0);
  	if (!entry)
  		return isl_stat_error;
  	if (entry == isl_hash_table_entry_none)
  		return isl_stat_ok;
  	c = entry->data;
  	if (c->count < n) {
  		isl_hash_table_remove(ctx, table, entry);
  		return isl_stat_ok;
  	}
  	c->count++;
  	if (isl_int_gt(c->c->row[0][0], con[0]))
  		return isl_stat_ok;
  	if (isl_int_eq(c->c->row[0][0], con[0])) {
  		if (ineq)
  			c->ineq = ineq;
  		return isl_stat_ok;
  	}
  	c->c = isl_mat_cow(c->c);
  	isl_int_set(c->c->row[0][0], con[0]);
  	c->ineq = ineq;
  
  	return isl_stat_ok;
  }
  
  /* Check whether the constraint hash table "table" contains the constraint
   * "con".
   */
  static isl_bool has_constraint(struct isl_ctx *ctx,
  	struct isl_hash_table *table, isl_int *con, unsigned len, int n)
  {
  	struct isl_hash_table_entry *entry;
  	struct max_constraint *c;
  	uint32_t c_hash;
  
  	c_hash = isl_seq_get_hash(con + 1, len);
  	entry = isl_hash_table_find(ctx, table, c_hash, max_constraint_equal,
  			con + 1, 0);
  	if (!entry)
  		return isl_bool_error;
  	if (entry == isl_hash_table_entry_none)
  		return isl_bool_false;
  	c = entry->data;
  	if (c->count < n)
  		return isl_bool_false;
  	return isl_bool_ok(isl_int_eq(c->c->row[0][0], con[0]));
  }
  
  /* Are the constraints of "bset" known to be facets?
   * If there are any equality constraints, then they are not.
   * If there may be redundant constraints, then those
   * redundant constraints are not facets.
   */
  static isl_bool has_facets(__isl_keep isl_basic_set *bset)
  {
  	isl_size n_eq;
  
  	n_eq = isl_basic_set_n_equality(bset);
  	if (n_eq < 0)
  		return isl_bool_error;
  	if (n_eq != 0)
  		return isl_bool_false;
  	return ISL_F_ISSET(bset, ISL_BASIC_SET_NO_REDUNDANT);
  }
  
  /* Check for inequality constraints of a basic set without equalities
   * or redundant constraints
   * such that the same or more stringent copies of the constraint appear
   * in all of the basic sets.  Such constraints are necessarily facet
   * constraints of the convex hull.
   *
   * If the resulting basic set is by chance identical to one of
   * the basic sets in "set", then we know that this basic set contains
   * all other basic sets and is therefore the convex hull of set.
   * In this case we set *is_hull to 1.
   */
  static __isl_give isl_basic_set *common_constraints(
  	__isl_take isl_basic_set *hull, __isl_keep isl_set *set, int *is_hull)
  {
  	int i, j, s, n;
  	int min_constraints;
  	int best;
  	struct max_constraint *constraints = NULL;
  	struct isl_hash_table *table = NULL;
  	isl_size total;
  
  	*is_hull = 0;
  
  	for (i = 0; i < set->n; ++i) {
  		isl_bool facets = has_facets(set->p[i]);
  		if (facets < 0)
  			return isl_basic_set_free(hull);
  		if (facets)
  			break;
  	}
  	if (i >= set->n)
  		return hull;
  	min_constraints = set->p[i]->n_ineq;
  	best = i;
  	for (i = best + 1; i < set->n; ++i) {
  		isl_bool facets = has_facets(set->p[i]);
  		if (facets < 0)
  			return isl_basic_set_free(hull);
  		if (!facets)
  			continue;
  		if (set->p[i]->n_ineq >= min_constraints)
  			continue;
  		min_constraints = set->p[i]->n_ineq;
  		best = i;
  	}
  	constraints = isl_calloc_array(hull->ctx, struct max_constraint,
  					min_constraints);
  	if (!constraints)
  		return hull;
  	table = isl_alloc_type(hull->ctx, struct isl_hash_table);
  	if (isl_hash_table_init(hull->ctx, table, min_constraints))
  		goto error;
  
  	total = isl_set_dim(set, isl_dim_all);
  	if (total < 0)
  		goto error;
  	for (i = 0; i < set->p[best]->n_ineq; ++i) {
  		constraints[i].c = isl_mat_sub_alloc6(hull->ctx,
  			set->p[best]->ineq + i, 0, 1, 0, 1 + total);
  		if (!constraints[i].c)
  			goto error;
  		constraints[i].ineq = 1;
  	}
  	for (i = 0; i < min_constraints; ++i) {
  		struct isl_hash_table_entry *entry;
  		uint32_t c_hash;
  		c_hash = isl_seq_get_hash(constraints[i].c->row[0] + 1, total);
  		entry = isl_hash_table_find(hull->ctx, table, c_hash,
  			max_constraint_equal, constraints[i].c->row[0] + 1, 1);
  		if (!entry)
  			goto error;
  		isl_assert(hull->ctx, !entry->data, goto error);
  		entry->data = &constraints[i];
  	}
  
  	n = 0;
  	for (s = 0; s < set->n; ++s) {
  		if (s == best)
  			continue;
  
  		for (i = 0; i < set->p[s]->n_eq; ++i) {
  			isl_int *eq = set->p[s]->eq[i];
  			for (j = 0; j < 2; ++j) {
  				isl_seq_neg(eq, eq, 1 + total);
  				if (update_constraint(hull->ctx, table,
  						    eq, total, n, 0) < 0)
  					goto error;
  			}
  		}
  		for (i = 0; i < set->p[s]->n_ineq; ++i) {
  			isl_int *ineq = set->p[s]->ineq[i];
  			if (update_constraint(hull->ctx, table, ineq, total, n,
  					set->p[s]->n_eq == 0) < 0)
  				goto error;
  		}
  		++n;
  	}
  
  	for (i = 0; i < min_constraints; ++i) {
  		if (constraints[i].count < n)
  			continue;
  		if (!constraints[i].ineq)
  			continue;
  		j = isl_basic_set_alloc_inequality(hull);
  		if (j < 0)
  			goto error;
  		isl_seq_cpy(hull->ineq[j], constraints[i].c->row[0], 1 + total);
  	}
  
  	for (s = 0; s < set->n; ++s) {
  		if (set->p[s]->n_eq)
  			continue;
  		if (set->p[s]->n_ineq != hull->n_ineq)
  			continue;
  		for (i = 0; i < set->p[s]->n_ineq; ++i) {
  			isl_bool has;
  			isl_int *ineq = set->p[s]->ineq[i];
  			has = has_constraint(hull->ctx, table, ineq, total, n);
  			if (has < 0)
  				goto error;
  			if (!has)
  				break;
  		}
  		if (i == set->p[s]->n_ineq)
  			*is_hull = 1;
  	}
  
  	isl_hash_table_clear(table);
  	for (i = 0; i < min_constraints; ++i)
  		isl_mat_free(constraints[i].c);
  	free(constraints);
  	free(table);
  	return hull;
  error:
  	isl_hash_table_clear(table);
  	free(table);
  	if (constraints)
  		for (i = 0; i < min_constraints; ++i)
  			isl_mat_free(constraints[i].c);
  	free(constraints);
  	return hull;
  }
  
  /* Create a template for the convex hull of "set" and fill it up
   * obvious facet constraints, if any.  If the result happens to
   * be the convex hull of "set" then *is_hull is set to 1.
   */
  static __isl_give isl_basic_set *proto_hull(__isl_keep isl_set *set,
  	int *is_hull)
  {
  	struct isl_basic_set *hull;
  	unsigned n_ineq;
  	int i;
  
  	n_ineq = 1;
  	for (i = 0; i < set->n; ++i) {
  		n_ineq += set->p[i]->n_eq;
  		n_ineq += set->p[i]->n_ineq;
  	}
  	hull = isl_basic_set_alloc_space(isl_space_copy(set->dim), 0, 0, n_ineq);
  	hull = isl_basic_set_set_rational(hull);
  	if (!hull)
  		return NULL;
  	return common_constraints(hull, set, is_hull);
  }
  
  static __isl_give isl_basic_set *uset_convex_hull_wrap(__isl_take isl_set *set)
  {
  	struct isl_basic_set *hull;
  	int is_hull;
  
  	hull = proto_hull(set, &is_hull);
  	if (hull && !is_hull) {
  		if (hull->n_ineq == 0)
  			hull = initial_hull(hull, set);
  		hull = extend(hull, set);
  	}
  	isl_set_free(set);
  
  	return hull;
  }
  
  /* Compute the convex hull of a set without any parameters or
   * integer divisions.  Depending on whether the set is bounded,
   * we pass control to the wrapping based convex hull or
   * the Fourier-Motzkin elimination based convex hull.
   * We also handle a few special cases before checking the boundedness.
   */
  static __isl_give isl_basic_set *uset_convex_hull(__isl_take isl_set *set)
  {
  	isl_bool bounded;
  	isl_size dim;
  	struct isl_basic_set *convex_hull = NULL;
  	struct isl_basic_set *lin;
  
  	dim = isl_set_dim(set, isl_dim_all);
  	if (dim < 0)
  		goto error;
  	if (dim == 0)
  		return convex_hull_0d(set);
  
  	set = isl_set_coalesce(set);
  	set = isl_set_set_rational(set);
  
  	if (!set)
  		return NULL;
  	if (set->n == 1) {
  		convex_hull = isl_basic_set_copy(set->p[0]);
  		isl_set_free(set);
  		return convex_hull;
  	}
  	if (dim == 1)
  		return convex_hull_1d(set);
  
  	bounded = isl_set_is_bounded(set);
  	if (bounded < 0)
  		goto error;
  	if (bounded && set->ctx->opt->convex == ISL_CONVEX_HULL_WRAP)
  		return uset_convex_hull_wrap(set);
  
  	lin = isl_set_combined_lineality_space(isl_set_copy(set));
  	if (!lin)
  		goto error;
  	if (isl_basic_set_plain_is_universe(lin)) {
  		isl_set_free(set);
  		return lin;
  	}
  	if (lin->n_eq < dim)
  		return modulo_lineality(set, lin);
  	isl_basic_set_free(lin);
  
  	return uset_convex_hull_unbounded(set);
  error:
  	isl_set_free(set);
  	isl_basic_set_free(convex_hull);
  	return NULL;
  }
  
  /* This is the core procedure, where "set" is a "pure" set, i.e.,
   * without parameters or divs and where the convex hull of set is
   * known to be full-dimensional.
   */
  static __isl_give isl_basic_set *uset_convex_hull_wrap_bounded(
  	__isl_take isl_set *set)
  {
  	struct isl_basic_set *convex_hull = NULL;
  	isl_size dim;
  
  	dim = isl_set_dim(set, isl_dim_all);
  	if (dim < 0)
  		goto error;
  
  	if (dim == 0) {
  		convex_hull = isl_basic_set_universe(isl_space_copy(set->dim));
  		isl_set_free(set);
  		convex_hull = isl_basic_set_set_rational(convex_hull);
  		return convex_hull;
  	}
  
  	set = isl_set_set_rational(set);
  	set = isl_set_coalesce(set);
  	if (!set)
  		goto error;
  	if (set->n == 1) {
  		convex_hull = isl_basic_set_copy(set->p[0]);
  		isl_set_free(set);
  		convex_hull = isl_basic_map_remove_redundancies(convex_hull);
  		return convex_hull;
  	}
  	if (dim == 1)
  		return convex_hull_1d(set);
  
  	return uset_convex_hull_wrap(set);
  error:
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Compute the convex hull of set "set" with affine hull "affine_hull",
   * We first remove the equalities (transforming the set), compute the
   * convex hull of the transformed set and then add the equalities back
   * (after performing the inverse transformation.
   */
  static __isl_give isl_basic_set *modulo_affine_hull(
  	__isl_take isl_set *set, __isl_take isl_basic_set *affine_hull)
  {
  	struct isl_mat *T;
  	struct isl_mat *T2;
  	struct isl_basic_set *dummy;
  	struct isl_basic_set *convex_hull;
  
  	dummy = isl_basic_set_remove_equalities(
  			isl_basic_set_copy(affine_hull), &T, &T2);
  	if (!dummy)
  		goto error;
  	isl_basic_set_free(dummy);
  	set = isl_set_preimage(set, T);
  	convex_hull = uset_convex_hull(set);
  	convex_hull = isl_basic_set_preimage(convex_hull, T2);
  	convex_hull = isl_basic_set_intersect(convex_hull, affine_hull);
  	return convex_hull;
  error:
  	isl_mat_free(T);
  	isl_mat_free(T2);
  	isl_basic_set_free(affine_hull);
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Return an empty basic map living in the same space as "map".
   */
  static __isl_give isl_basic_map *replace_map_by_empty_basic_map(
  	__isl_take isl_map *map)
  {
  	isl_space *space;
  
  	space = isl_map_get_space(map);
  	isl_map_free(map);
  	return isl_basic_map_empty(space);
  }
  
  /* Compute the convex hull of a map.
   *
   * The implementation was inspired by "Extended Convex Hull" by Fukuda et al.,
   * specifically, the wrapping of facets to obtain new facets.
   */
  __isl_give isl_basic_map *isl_map_convex_hull(__isl_take isl_map *map)
  {
  	struct isl_basic_set *bset;
  	struct isl_basic_map *model = NULL;
  	struct isl_basic_set *affine_hull = NULL;
  	struct isl_basic_map *convex_hull = NULL;
  	struct isl_set *set = NULL;
  
  	map = isl_map_detect_equalities(map);
  	map = isl_map_align_divs_internal(map);
  	if (!map)
  		goto error;
  
  	if (map->n == 0)
  		return replace_map_by_empty_basic_map(map);
  
  	model = isl_basic_map_copy(map->p[0]);
  	set = isl_map_underlying_set(map);
  	if (!set)
  		goto error;
  
  	affine_hull = isl_set_affine_hull(isl_set_copy(set));
  	if (!affine_hull)
  		goto error;
  	if (affine_hull->n_eq != 0)
  		bset = modulo_affine_hull(set, affine_hull);
  	else {
  		isl_basic_set_free(affine_hull);
  		bset = uset_convex_hull(set);
  	}
  
  	convex_hull = isl_basic_map_overlying_set(bset, model);
  	if (!convex_hull)
  		return NULL;
  
  	ISL_F_SET(convex_hull, ISL_BASIC_MAP_NO_IMPLICIT);
  	ISL_F_SET(convex_hull, ISL_BASIC_MAP_ALL_EQUALITIES);
  	ISL_F_CLR(convex_hull, ISL_BASIC_MAP_RATIONAL);
  	return convex_hull;
  error:
  	isl_set_free(set);
  	isl_basic_map_free(model);
  	return NULL;
  }
  
  __isl_give isl_basic_set *isl_set_convex_hull(__isl_take isl_set *set)
  {
  	return bset_from_bmap(isl_map_convex_hull(set_to_map(set)));
  }
  
  __isl_give isl_basic_map *isl_map_polyhedral_hull(__isl_take isl_map *map)
  {
  	isl_basic_map *hull;
  
  	hull = isl_map_convex_hull(map);
  	return isl_basic_map_remove_divs(hull);
  }
  
  __isl_give isl_basic_set *isl_set_polyhedral_hull(__isl_take isl_set *set)
  {
  	return bset_from_bmap(isl_map_polyhedral_hull(set_to_map(set)));
  }
  
  struct sh_data_entry {
  	struct isl_hash_table	*table;
  	struct isl_tab		*tab;
  };
  
  /* Holds the data needed during the simple hull computation.
   * In particular,
   *	n		the number of basic sets in the original set
   *	hull_table	a hash table of already computed constraints
   *			in the simple hull
   *	p		for each basic set,
   *		table		a hash table of the constraints
   *		tab		the tableau corresponding to the basic set
   */
  struct sh_data {
  	struct isl_ctx		*ctx;
  	unsigned		n;
  	struct isl_hash_table	*hull_table;
  	struct sh_data_entry	p[1];
  };
  
  static void sh_data_free(struct sh_data *data)
  {
  	int i;
  
  	if (!data)
  		return;
  	isl_hash_table_free(data->ctx, data->hull_table);
  	for (i = 0; i < data->n; ++i) {
  		isl_hash_table_free(data->ctx, data->p[i].table);
  		isl_tab_free(data->p[i].tab);
  	}
  	free(data);
  }
  
  struct ineq_cmp_data {
  	unsigned	len;
  	isl_int		*p;
  };
  
  static isl_bool has_ineq(const void *entry, const void *val)
  {
  	isl_int *row = (isl_int *)entry;
  	struct ineq_cmp_data *v = (struct ineq_cmp_data *)val;
  
  	return isl_bool_ok(isl_seq_eq(row + 1, v->p + 1, v->len) ||
  			   isl_seq_is_neg(row + 1, v->p + 1, v->len));
  }
  
  static int hash_ineq(struct isl_ctx *ctx, struct isl_hash_table *table,
  			isl_int *ineq, unsigned len)
  {
  	uint32_t c_hash;
  	struct ineq_cmp_data v;
  	struct isl_hash_table_entry *entry;
  
  	v.len = len;
  	v.p = ineq;
  	c_hash = isl_seq_get_hash(ineq + 1, len);
  	entry = isl_hash_table_find(ctx, table, c_hash, has_ineq, &v, 1);
  	if (!entry)
  		return - 1;
  	entry->data = ineq;
  	return 0;
  }
  
  /* Fill hash table "table" with the constraints of "bset".
   * Equalities are added as two inequalities.
   * The value in the hash table is a pointer to the (in)equality of "bset".
   */
  static isl_stat hash_basic_set(struct isl_hash_table *table,
  	__isl_keep isl_basic_set *bset)
  {
  	int i, j;
  	isl_size dim = isl_basic_set_dim(bset, isl_dim_all);
  
  	if (dim < 0)
  		return isl_stat_error;
  	for (i = 0; i < bset->n_eq; ++i) {
  		for (j = 0; j < 2; ++j) {
  			isl_seq_neg(bset->eq[i], bset->eq[i], 1 + dim);
  			if (hash_ineq(bset->ctx, table, bset->eq[i], dim) < 0)
  				return isl_stat_error;
  		}
  	}
  	for (i = 0; i < bset->n_ineq; ++i) {
  		if (hash_ineq(bset->ctx, table, bset->ineq[i], dim) < 0)
  			return isl_stat_error;
  	}
  	return isl_stat_ok;
  }
  
  static struct sh_data *sh_data_alloc(__isl_keep isl_set *set, unsigned n_ineq)
  {
  	struct sh_data *data;
  	int i;
  
  	data = isl_calloc(set->ctx, struct sh_data,
  		sizeof(struct sh_data) +
  		(set->n - 1) * sizeof(struct sh_data_entry));
  	if (!data)
  		return NULL;
  	data->ctx = set->ctx;
  	data->n = set->n;
  	data->hull_table = isl_hash_table_alloc(set->ctx, n_ineq);
  	if (!data->hull_table)
  		goto error;
  	for (i = 0; i < set->n; ++i) {
  		data->p[i].table = isl_hash_table_alloc(set->ctx,
  				    2 * set->p[i]->n_eq + set->p[i]->n_ineq);
  		if (!data->p[i].table)
  			goto error;
  		if (hash_basic_set(data->p[i].table, set->p[i]) < 0)
  			goto error;
  	}
  	return data;
  error:
  	sh_data_free(data);
  	return NULL;
  }
  
  /* Check if inequality "ineq" is a bound for basic set "j" or if
   * it can be relaxed (by increasing the constant term) to become
   * a bound for that basic set.  In the latter case, the constant
   * term is updated.
   * Relaxation of the constant term is only allowed if "shift" is set.
   *
   * Return 1 if "ineq" is a bound
   *	  0 if "ineq" may attain arbitrarily small values on basic set "j"
   *	 -1 if some error occurred
   */
  static int is_bound(struct sh_data *data, __isl_keep isl_set *set, int j,
  	isl_int *ineq, int shift)
  {
  	enum isl_lp_result res;
  	isl_int opt;
  
  	if (!data->p[j].tab) {
  		data->p[j].tab = isl_tab_from_basic_set(set->p[j], 0);
  		if (!data->p[j].tab)
  			return -1;
  	}
  
  	isl_int_init(opt);
  
  	res = isl_tab_min(data->p[j].tab, ineq, data->ctx->one,
  				&opt, NULL, 0);
  	if (res == isl_lp_ok && isl_int_is_neg(opt)) {
  		if (shift)
  			isl_int_sub(ineq[0], ineq[0], opt);
  		else
  			res = isl_lp_unbounded;
  	}
  
  	isl_int_clear(opt);
  
  	return (res == isl_lp_ok || res == isl_lp_empty) ? 1 :
  	       res == isl_lp_unbounded ? 0 : -1;
  }
  
  /* Set the constant term of "ineq" to the maximum of those of the constraints
   * in the basic sets of "set" following "i" that are parallel to "ineq".
   * That is, if any of the basic sets of "set" following "i" have a more
   * relaxed copy of "ineq", then replace "ineq" by the most relaxed copy.
   * "c_hash" is the hash value of the linear part of "ineq".
   * "v" has been set up for use by has_ineq.
   *
   * Note that the two inequality constraints corresponding to an equality are
   * represented by the same inequality constraint in data->p[j].table
   * (but with different hash values).  This means the constraint (or at
   * least its constant term) may need to be temporarily negated to get
   * the actually hashed constraint.
   */
  static isl_stat set_max_constant_term(struct sh_data *data,
  	__isl_keep isl_set *set,
  	int i, isl_int *ineq, uint32_t c_hash, struct ineq_cmp_data *v)
  {
  	int j;
  	isl_ctx *ctx;
  	struct isl_hash_table_entry *entry;
  
  	ctx = isl_set_get_ctx(set);
  	for (j = i + 1; j < set->n; ++j) {
  		int neg;
  		isl_int *ineq_j;
  
  		entry = isl_hash_table_find(ctx, data->p[j].table,
  						c_hash, &has_ineq, v, 0);
  		if (!entry)
  			return isl_stat_error;
  		if (entry == isl_hash_table_entry_none)
  			continue;
  
  		ineq_j = entry->data;
  		neg = isl_seq_is_neg(ineq_j + 1, ineq + 1, v->len);
  		if (neg)
  			isl_int_neg(ineq_j[0], ineq_j[0]);
  		if (isl_int_gt(ineq_j[0], ineq[0]))
  			isl_int_set(ineq[0], ineq_j[0]);
  		if (neg)
  			isl_int_neg(ineq_j[0], ineq_j[0]);
  	}
  
  	return isl_stat_ok;
  }
  
  /* Check if inequality "ineq" from basic set "i" is or can be relaxed to
   * become a bound on the whole set.  If so, add the (relaxed) inequality
   * to "hull".  Relaxation is only allowed if "shift" is set.
   *
   * We first check if "hull" already contains a translate of the inequality.
   * If so, we are done.
   * Then, we check if any of the previous basic sets contains a translate
   * of the inequality.  If so, then we have already considered this
   * inequality and we are done.
   * Otherwise, for each basic set other than "i", we check if the inequality
   * is a bound on the basic set, but first replace the constant term
   * by the maximal value of any translate of the inequality in any
   * of the following basic sets.
   * For previous basic sets, we know that they do not contain a translate
   * of the inequality, so we directly call is_bound.
   * For following basic sets, we first check if a translate of the
   * inequality appears in its description.  If so, the constant term
   * of the inequality has already been updated with respect to this
   * translate and the inequality is therefore known to be a bound
   * of this basic set.
   */
  static __isl_give isl_basic_set *add_bound(__isl_take isl_basic_set *hull,
  	struct sh_data *data, __isl_keep isl_set *set, int i, isl_int *ineq,
  	int shift)
  {
  	uint32_t c_hash;
  	struct ineq_cmp_data v;
  	struct isl_hash_table_entry *entry;
  	int j, k;
  	isl_size total;
  
  	total = isl_basic_set_dim(hull, isl_dim_all);
  	if (total < 0)
  		return isl_basic_set_free(hull);
  
  	v.len = total;
  	v.p = ineq;
  	c_hash = isl_seq_get_hash(ineq + 1, v.len);
  
  	entry = isl_hash_table_find(hull->ctx, data->hull_table, c_hash,
  					has_ineq, &v, 0);
  	if (!entry)
  		return isl_basic_set_free(hull);
  	if (entry != isl_hash_table_entry_none)
  		return hull;
  
  	for (j = 0; j < i; ++j) {
  		entry = isl_hash_table_find(hull->ctx, data->p[j].table,
  						c_hash, has_ineq, &v, 0);
  		if (!entry)
  			return isl_basic_set_free(hull);
  		if (entry != isl_hash_table_entry_none)
  			break;
  	}
  	if (j < i)
  		return hull;
  
  	k = isl_basic_set_alloc_inequality(hull);
  	if (k < 0)
  		goto error;
  	isl_seq_cpy(hull->ineq[k], ineq, 1 + v.len);
  
  	if (set_max_constant_term(data, set, i, hull->ineq[k], c_hash, &v) < 0)
  		goto error;
  	for (j = 0; j < i; ++j) {
  		int bound;
  		bound = is_bound(data, set, j, hull->ineq[k], shift);
  		if (bound < 0)
  			goto error;
  		if (!bound)
  			break;
  	}
  	if (j < i)
  		return isl_basic_set_free_inequality(hull, 1);
  
  	for (j = i + 1; j < set->n; ++j) {
  		int bound;
  		entry = isl_hash_table_find(hull->ctx, data->p[j].table,
  						c_hash, has_ineq, &v, 0);
  		if (!entry)
  			return isl_basic_set_free(hull);
  		if (entry != isl_hash_table_entry_none)
  			continue;
  		bound = is_bound(data, set, j, hull->ineq[k], shift);
  		if (bound < 0)
  			goto error;
  		if (!bound)
  			break;
  	}
  	if (j < set->n)
  		return isl_basic_set_free_inequality(hull, 1);
  
  	entry = isl_hash_table_find(hull->ctx, data->hull_table, c_hash,
  					has_ineq, &v, 1);
  	if (!entry)
  		goto error;
  	entry->data = hull->ineq[k];
  
  	return hull;
  error:
  	isl_basic_set_free(hull);
  	return NULL;
  }
  
  /* Check if any inequality from basic set "i" is or can be relaxed to
   * become a bound on the whole set.  If so, add the (relaxed) inequality
   * to "hull".  Relaxation is only allowed if "shift" is set.
   */
  static __isl_give isl_basic_set *add_bounds(__isl_take isl_basic_set *bset,
  	struct sh_data *data, __isl_keep isl_set *set, int i, int shift)
  {
  	int j, k;
  	isl_size dim = isl_basic_set_dim(bset, isl_dim_all);
  
  	if (dim < 0)
  		return isl_basic_set_free(bset);
  
  	for (j = 0; j < set->p[i]->n_eq; ++j) {
  		for (k = 0; k < 2; ++k) {
  			isl_seq_neg(set->p[i]->eq[j], set->p[i]->eq[j], 1+dim);
  			bset = add_bound(bset, data, set, i, set->p[i]->eq[j],
  					    shift);
  		}
  	}
  	for (j = 0; j < set->p[i]->n_ineq; ++j)
  		bset = add_bound(bset, data, set, i, set->p[i]->ineq[j], shift);
  	return bset;
  }
  
  /* Compute a superset of the convex hull of set that is described
   * by only (translates of) the constraints in the constituents of set.
   * Translation is only allowed if "shift" is set.
   */
  static __isl_give isl_basic_set *uset_simple_hull(__isl_take isl_set *set,
  	int shift)
  {
  	struct sh_data *data = NULL;
  	struct isl_basic_set *hull = NULL;
  	unsigned n_ineq;
  	int i;
  
  	if (!set)
  		return NULL;
  
  	n_ineq = 0;
  	for (i = 0; i < set->n; ++i) {
  		if (!set->p[i])
  			goto error;
  		n_ineq += 2 * set->p[i]->n_eq + set->p[i]->n_ineq;
  	}
  
  	hull = isl_basic_set_alloc_space(isl_space_copy(set->dim), 0, 0, n_ineq);
  	if (!hull)
  		goto error;
  
  	data = sh_data_alloc(set, n_ineq);
  	if (!data)
  		goto error;
  
  	for (i = 0; i < set->n; ++i)
  		hull = add_bounds(hull, data, set, i, shift);
  
  	sh_data_free(data);
  	isl_set_free(set);
  
  	return hull;
  error:
  	sh_data_free(data);
  	isl_basic_set_free(hull);
  	isl_set_free(set);
  	return NULL;
  }
  
  /* Compute a superset of the convex hull of map that is described
   * by only (translates of) the constraints in the constituents of map.
   * Handle trivial cases where map is NULL or contains at most one disjunct.
   */
  static __isl_give isl_basic_map *map_simple_hull_trivial(
  	__isl_take isl_map *map)
  {
  	isl_basic_map *hull;
  
  	if (!map)
  		return NULL;
  	if (map->n == 0)
  		return replace_map_by_empty_basic_map(map);
  
  	hull = isl_basic_map_copy(map->p[0]);
  	isl_map_free(map);
  	return hull;
  }
  
  /* Return a copy of the simple hull cached inside "map".
   * "shift" determines whether to return the cached unshifted or shifted
   * simple hull.
   */
  static __isl_give isl_basic_map *cached_simple_hull(__isl_take isl_map *map,
  	int shift)
  {
  	isl_basic_map *hull;
  
  	hull = isl_basic_map_copy(map->cached_simple_hull[shift]);
  	isl_map_free(map);
  
  	return hull;
  }
  
  /* Compute a superset of the convex hull of map that is described
   * by only (translates of) the constraints in the constituents of map.
   * Translation is only allowed if "shift" is set.
   *
   * The constraints are sorted while removing redundant constraints
   * in order to indicate a preference of which constraints should
   * be preserved.  In particular, pairs of constraints that are
   * sorted together are preferred to either both be preserved
   * or both be removed.  The sorting is performed inside
   * isl_basic_map_remove_redundancies.
   *
   * The result of the computation is stored in map->cached_simple_hull[shift]
   * such that it can be reused in subsequent calls.  The cache is cleared
   * whenever the map is modified (in isl_map_cow).
   * Note that the results need to be stored in the input map for there
   * to be any chance that they may get reused.  In particular, they
   * are stored in a copy of the input map that is saved before
   * the integer division alignment.
   */
  static __isl_give isl_basic_map *map_simple_hull(__isl_take isl_map *map,
  	int shift)
  {
  	struct isl_set *set = NULL;
  	struct isl_basic_map *model = NULL;
  	struct isl_basic_map *hull;
  	struct isl_basic_map *affine_hull;
  	struct isl_basic_set *bset = NULL;
  	isl_map *input;
  
  	if (!map || map->n <= 1)
  		return map_simple_hull_trivial(map);
  
  	if (map->cached_simple_hull[shift])
  		return cached_simple_hull(map, shift);
  
  	map = isl_map_detect_equalities(map);
  	if (!map || map->n <= 1)
  		return map_simple_hull_trivial(map);
  	affine_hull = isl_map_affine_hull(isl_map_copy(map));
  	input = isl_map_copy(map);
  	map = isl_map_align_divs_internal(map);
  	model = map ? isl_basic_map_copy(map->p[0]) : NULL;
  
  	set = isl_map_underlying_set(map);
  
  	bset = uset_simple_hull(set, shift);
  
  	hull = isl_basic_map_overlying_set(bset, model);
  
  	hull = isl_basic_map_intersect(hull, affine_hull);
  	hull = isl_basic_map_remove_redundancies(hull);
  
  	if (hull) {
  		ISL_F_SET(hull, ISL_BASIC_MAP_NO_IMPLICIT);
  		ISL_F_SET(hull, ISL_BASIC_MAP_ALL_EQUALITIES);
  	}
  
  	hull = isl_basic_map_finalize(hull);
  	if (input)
  		input->cached_simple_hull[shift] = isl_basic_map_copy(hull);
  	isl_map_free(input);
  
  	return hull;
  }
  
  /* Compute a superset of the convex hull of map that is described
   * by only translates of the constraints in the constituents of map.
   */
  __isl_give isl_basic_map *isl_map_simple_hull(__isl_take isl_map *map)
  {
  	return map_simple_hull(map, 1);
  }
  
  __isl_give isl_basic_set *isl_set_simple_hull(__isl_take isl_set *set)
  {
  	return bset_from_bmap(isl_map_simple_hull(set_to_map(set)));
  }
  
  /* Compute a superset of the convex hull of map that is described
   * by only the constraints in the constituents of map.
   */
  __isl_give isl_basic_map *isl_map_unshifted_simple_hull(
  	__isl_take isl_map *map)
  {
  	return map_simple_hull(map, 0);
  }
  
  __isl_give isl_basic_set *isl_set_unshifted_simple_hull(
  	__isl_take isl_set *set)
  {
  	return isl_map_unshifted_simple_hull(set);
  }
  
  /* Drop all inequalities from "bmap1" that do not also appear in "bmap2".
   * A constraint that appears with different constant terms
   * in "bmap1" and "bmap2" is also kept, with the least restrictive
   * (i.e., greatest) constant term.
   * "bmap1" and "bmap2" are assumed to have the same (known)
   * integer divisions.
   * The constraints of both "bmap1" and "bmap2" are assumed
   * to have been sorted using isl_basic_map_sort_constraints.
   *
   * Run through the inequality constraints of "bmap1" and "bmap2"
   * in sorted order.
   * Each constraint of "bmap1" without a matching constraint in "bmap2"
   * is removed.
   * If a match is found, the constraint is kept.  If needed, the constant
   * term of the constraint is adjusted.
   */
  static __isl_give isl_basic_map *select_shared_inequalities(
  	__isl_take isl_basic_map *bmap1, __isl_keep isl_basic_map *bmap2)
  {
  	int i1, i2;
  
  	bmap1 = isl_basic_map_cow(bmap1);
  	if (!bmap1 || !bmap2)
  		return isl_basic_map_free(bmap1);
  
  	i1 = bmap1->n_ineq - 1;
  	i2 = bmap2->n_ineq - 1;
  	while (bmap1 && i1 >= 0 && i2 >= 0) {
  		int cmp;
  
  		cmp = isl_basic_map_constraint_cmp(bmap1, bmap1->ineq[i1],
  							bmap2->ineq[i2]);
  		if (cmp < 0) {
  			--i2;
  			continue;
  		}
  		if (cmp > 0) {
  			if (isl_basic_map_drop_inequality(bmap1, i1) < 0)
  				bmap1 = isl_basic_map_free(bmap1);
  			--i1;
  			continue;
  		}
  		if (isl_int_lt(bmap1->ineq[i1][0], bmap2->ineq[i2][0]))
  			isl_int_set(bmap1->ineq[i1][0], bmap2->ineq[i2][0]);
  		--i1;
  		--i2;
  	}
  	for (; i1 >= 0; --i1)
  		if (isl_basic_map_drop_inequality(bmap1, i1) < 0)
  			bmap1 = isl_basic_map_free(bmap1);
  
  	return bmap1;
  }
  
  /* Drop all equalities from "bmap1" that do not also appear in "bmap2".
   * "bmap1" and "bmap2" are assumed to have the same (known)
   * integer divisions.
   *
   * Run through the equality constraints of "bmap1" and "bmap2".
   * Each constraint of "bmap1" without a matching constraint in "bmap2"
   * is removed.
   */
  static __isl_give isl_basic_map *select_shared_equalities(
  	__isl_take isl_basic_map *bmap1, __isl_keep isl_basic_map *bmap2)
  {
  	int i1, i2;
  	isl_size total;
  
  	bmap1 = isl_basic_map_cow(bmap1);
  	total = isl_basic_map_dim(bmap1, isl_dim_all);
  	if (total < 0 || !bmap2)
  		return isl_basic_map_free(bmap1);
  
  	i1 = bmap1->n_eq - 1;
  	i2 = bmap2->n_eq - 1;
  	while (bmap1 && i1 >= 0 && i2 >= 0) {
  		int last1, last2;
  
  		last1 = isl_seq_last_non_zero(bmap1->eq[i1] + 1, total);
  		last2 = isl_seq_last_non_zero(bmap2->eq[i2] + 1, total);
  		if (last1 > last2) {
  			--i2;
  			continue;
  		}
  		if (last1 < last2) {
  			if (isl_basic_map_drop_equality(bmap1, i1) < 0)
  				bmap1 = isl_basic_map_free(bmap1);
  			--i1;
  			continue;
  		}
  		if (!isl_seq_eq(bmap1->eq[i1], bmap2->eq[i2], 1 + total)) {
  			if (isl_basic_map_drop_equality(bmap1, i1) < 0)
  				bmap1 = isl_basic_map_free(bmap1);
  		}
  		--i1;
  		--i2;
  	}
  	for (; i1 >= 0; --i1)
  		if (isl_basic_map_drop_equality(bmap1, i1) < 0)
  			bmap1 = isl_basic_map_free(bmap1);
  
  	return bmap1;
  }
  
  /* Compute a superset of "bmap1" and "bmap2" that is described
   * by only the constraints that appear in both "bmap1" and "bmap2".
   *
   * First drop constraints that involve unknown integer divisions
   * since it is not trivial to check whether two such integer divisions
   * in different basic maps are the same.
   * Then align the remaining (known) divs and sort the constraints.
   * Finally drop all inequalities and equalities from "bmap1" that
   * do not also appear in "bmap2".
   */
  __isl_give isl_basic_map *isl_basic_map_plain_unshifted_simple_hull(
  	__isl_take isl_basic_map *bmap1, __isl_take isl_basic_map *bmap2)
  {
  	if (isl_basic_map_check_equal_space(bmap1, bmap2) < 0)
  		goto error;
  
  	bmap1 = isl_basic_map_drop_constraints_involving_unknown_divs(bmap1);
  	bmap2 = isl_basic_map_drop_constraints_involving_unknown_divs(bmap2);
  	bmap2 = isl_basic_map_align_divs(bmap2, bmap1);
  	bmap1 = isl_basic_map_align_divs(bmap1, bmap2);
  	bmap1 = isl_basic_map_sort_constraints(bmap1);
  	bmap2 = isl_basic_map_sort_constraints(bmap2);
  
  	bmap1 = select_shared_inequalities(bmap1, bmap2);
  	bmap1 = select_shared_equalities(bmap1, bmap2);
  
  	isl_basic_map_free(bmap2);
  	bmap1 = isl_basic_map_finalize(bmap1);
  	return bmap1;
  error:
  	isl_basic_map_free(bmap1);
  	isl_basic_map_free(bmap2);
  	return NULL;
  }
  
  /* Compute a superset of the convex hull of "map" that is described
   * by only the constraints in the constituents of "map".
   * In particular, the result is composed of constraints that appear
   * in each of the basic maps of "map"
   *
   * Constraints that involve unknown integer divisions are dropped
   * since it is not trivial to check whether two such integer divisions
   * in different basic maps are the same.
   *
   * The hull is initialized from the first basic map and then
   * updated with respect to the other basic maps in turn.
   */
  __isl_give isl_basic_map *isl_map_plain_unshifted_simple_hull(
  	__isl_take isl_map *map)
  {
  	int i;
  	isl_basic_map *hull;
  
  	if (!map)
  		return NULL;
  	if (map->n <= 1)
  		return map_simple_hull_trivial(map);
  	map = isl_map_drop_constraints_involving_unknown_divs(map);
  	hull = isl_basic_map_copy(map->p[0]);
  	for (i = 1; i < map->n; ++i) {
  		isl_basic_map *bmap_i;
  
  		bmap_i = isl_basic_map_copy(map->p[i]);
  		hull = isl_basic_map_plain_unshifted_simple_hull(hull, bmap_i);
  	}
  
  	isl_map_free(map);
  	return hull;
  }
  
  /* Compute a superset of the convex hull of "set" that is described
   * by only the constraints in the constituents of "set".
   * In particular, the result is composed of constraints that appear
   * in each of the basic sets of "set"
   */
  __isl_give isl_basic_set *isl_set_plain_unshifted_simple_hull(
  	__isl_take isl_set *set)
  {
  	return isl_map_plain_unshifted_simple_hull(set);
  }
  
  /* Check if "ineq" is a bound on "set" and, if so, add it to "hull".
   *
   * For each basic set in "set", we first check if the basic set
   * contains a translate of "ineq".  If this translate is more relaxed,
   * then we assume that "ineq" is not a bound on this basic set.
   * Otherwise, we know that it is a bound.
   * If the basic set does not contain a translate of "ineq", then
   * we call is_bound to perform the test.
   */
  static __isl_give isl_basic_set *add_bound_from_constraint(
  	__isl_take isl_basic_set *hull, struct sh_data *data,
  	__isl_keep isl_set *set, isl_int *ineq)
  {
  	int i, k;
  	isl_ctx *ctx;
  	uint32_t c_hash;
  	struct ineq_cmp_data v;
  	isl_size total;
  
  	total = isl_basic_set_dim(hull, isl_dim_all);
  	if (total < 0 || !set)
  		return isl_basic_set_free(hull);
  
  	v.len = total;
  	v.p = ineq;
  	c_hash = isl_seq_get_hash(ineq + 1, v.len);
  
  	ctx = isl_basic_set_get_ctx(hull);
  	for (i = 0; i < set->n; ++i) {
  		int bound;
  		struct isl_hash_table_entry *entry;
  
  		entry = isl_hash_table_find(ctx, data->p[i].table,
  						c_hash, &has_ineq, &v, 0);
  		if (!entry)
  			return isl_basic_set_free(hull);
  		if (entry != isl_hash_table_entry_none) {
  			isl_int *ineq_i = entry->data;
  			int neg, more_relaxed;
  
  			neg = isl_seq_is_neg(ineq_i + 1, ineq + 1, v.len);
  			if (neg)
  				isl_int_neg(ineq_i[0], ineq_i[0]);
  			more_relaxed = isl_int_gt(ineq_i[0], ineq[0]);
  			if (neg)
  				isl_int_neg(ineq_i[0], ineq_i[0]);
  			if (more_relaxed)
  				break;
  			else
  				continue;
  		}
  		bound = is_bound(data, set, i, ineq, 0);
  		if (bound < 0)
  			return isl_basic_set_free(hull);
  		if (!bound)
  			break;
  	}
  	if (i < set->n)
  		return hull;
  
  	k = isl_basic_set_alloc_inequality(hull);
  	if (k < 0)
  		return isl_basic_set_free(hull);
  	isl_seq_cpy(hull->ineq[k], ineq, 1 + v.len);
  
  	return hull;
  }
  
  /* Compute a superset of the convex hull of "set" that is described
   * by only some of the "n_ineq" constraints in the list "ineq", where "set"
   * has no parameters or integer divisions.
   *
   * The inequalities in "ineq" are assumed to have been sorted such
   * that constraints with the same linear part appear together and
   * that among constraints with the same linear part, those with
   * smaller constant term appear first.
   *
   * We reuse the same data structure that is used by uset_simple_hull,
   * but we do not need the hull table since we will not consider the
   * same constraint more than once.  We therefore allocate it with zero size.
   *
   * We run through the constraints and try to add them one by one,
   * skipping identical constraints.  If we have added a constraint and
   * the next constraint is a more relaxed translate, then we skip this
   * next constraint as well.
   */
  static __isl_give isl_basic_set *uset_unshifted_simple_hull_from_constraints(
  	__isl_take isl_set *set, int n_ineq, isl_int **ineq)
  {
  	int i;
  	int last_added = 0;
  	struct sh_data *data = NULL;
  	isl_basic_set *hull = NULL;
  	isl_size dim;
  
  	hull = isl_basic_set_alloc_space(isl_set_get_space(set), 0, 0, n_ineq);
  	if (!hull)
  		goto error;
  
  	data = sh_data_alloc(set, 0);
  	if (!data)
  		goto error;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		goto error;
  	for (i = 0; i < n_ineq; ++i) {
  		int hull_n_ineq = hull->n_ineq;
  		int parallel;
  
  		parallel = i > 0 && isl_seq_eq(ineq[i - 1] + 1, ineq[i] + 1,
  						dim);
  		if (parallel &&
  		    (last_added || isl_int_eq(ineq[i - 1][0], ineq[i][0])))
  			continue;
  		hull = add_bound_from_constraint(hull, data, set, ineq[i]);
  		if (!hull)
  			goto error;
  		last_added = hull->n_ineq > hull_n_ineq;
  	}
  
  	sh_data_free(data);
  	isl_set_free(set);
  	return hull;
  error:
  	sh_data_free(data);
  	isl_set_free(set);
  	isl_basic_set_free(hull);
  	return NULL;
  }
  
  /* Collect pointers to all the inequalities in the elements of "list"
   * in "ineq".  For equalities, store both a pointer to the equality and
   * a pointer to its opposite, which is first copied to "mat".
   * "ineq" and "mat" are assumed to have been preallocated to the right size
   * (the number of inequalities + 2 times the number of equalites and
   * the number of equalities, respectively).
   */
  static __isl_give isl_mat *collect_inequalities(__isl_take isl_mat *mat,
  	__isl_keep isl_basic_set_list *list, isl_int **ineq)
  {
  	int i, j, n_eq, n_ineq;
  	isl_size n;
  
  	n = isl_basic_set_list_n_basic_set(list);
  	if (!mat || n < 0)
  		return isl_mat_free(mat);
  
  	n_eq = 0;
  	n_ineq = 0;
  	for (i = 0; i < n; ++i) {
  		isl_basic_set *bset;
  		bset = isl_basic_set_list_get_basic_set(list, i);
  		if (!bset)
  			return isl_mat_free(mat);
  		for (j = 0; j < bset->n_eq; ++j) {
  			ineq[n_ineq++] = mat->row[n_eq];
  			ineq[n_ineq++] = bset->eq[j];
  			isl_seq_neg(mat->row[n_eq++], bset->eq[j], mat->n_col);
  		}
  		for (j = 0; j < bset->n_ineq; ++j)
  			ineq[n_ineq++] = bset->ineq[j];
  		isl_basic_set_free(bset);
  	}
  
  	return mat;
  }
  
  /* Comparison routine for use as an isl_sort callback.
   *
   * Constraints with the same linear part are sorted together and
   * among constraints with the same linear part, those with smaller
   * constant term are sorted first.
   */
  static int cmp_ineq(const void *a, const void *b, void *arg)
  {
  	unsigned dim = *(unsigned *) arg;
  	isl_int * const *ineq1 = a;
  	isl_int * const *ineq2 = b;
  	int cmp;
  
  	cmp = isl_seq_cmp((*ineq1) + 1, (*ineq2) + 1, dim);
  	if (cmp != 0)
  		return cmp;
  	return isl_int_cmp((*ineq1)[0], (*ineq2)[0]);
  }
  
  /* Compute a superset of the convex hull of "set" that is described
   * by only constraints in the elements of "list", where "set" has
   * no parameters or integer divisions.
   *
   * We collect all the constraints in those elements and then
   * sort the constraints such that constraints with the same linear part
   * are sorted together and that those with smaller constant term are
   * sorted first.
   */
  static __isl_give isl_basic_set *uset_unshifted_simple_hull_from_basic_set_list(
  	__isl_take isl_set *set, __isl_take isl_basic_set_list *list)
  {
  	int i, n_eq, n_ineq;
  	isl_size n;
  	isl_size dim;
  	isl_ctx *ctx;
  	isl_mat *mat = NULL;
  	isl_int **ineq = NULL;
  	isl_basic_set *hull;
  
  	n = isl_basic_set_list_n_basic_set(list);
  	if (!set || n < 0)
  		goto error;
  	ctx = isl_set_get_ctx(set);
  
  	n_eq = 0;
  	n_ineq = 0;
  	for (i = 0; i < n; ++i) {
  		isl_basic_set *bset;
  		bset = isl_basic_set_list_get_basic_set(list, i);
  		if (!bset)
  			goto error;
  		n_eq += bset->n_eq;
  		n_ineq += 2 * bset->n_eq + bset->n_ineq;
  		isl_basic_set_free(bset);
  	}
  
  	ineq = isl_alloc_array(ctx, isl_int *, n_ineq);
  	if (n_ineq > 0 && !ineq)
  		goto error;
  
  	dim = isl_set_dim(set, isl_dim_set);
  	if (dim < 0)
  		goto error;
  	mat = isl_mat_alloc(ctx, n_eq, 1 + dim);
  	mat = collect_inequalities(mat, list, ineq);
  	if (!mat)
  		goto error;
  
  	if (isl_sort(ineq, n_ineq, sizeof(ineq[0]), &cmp_ineq, &dim) < 0)
  		goto error;
  
  	hull = uset_unshifted_simple_hull_from_constraints(set, n_ineq, ineq);
  
  	isl_mat_free(mat);
  	free(ineq);
  	isl_basic_set_list_free(list);
  	return hull;
  error:
  	isl_mat_free(mat);
  	free(ineq);
  	isl_set_free(set);
  	isl_basic_set_list_free(list);
  	return NULL;
  }
  
  /* Compute a superset of the convex hull of "map" that is described
   * by only constraints in the elements of "list".
   *
   * If the list is empty, then we can only describe the universe set.
   * If the input map is empty, then all constraints are valid, so
   * we return the intersection of the elements in "list".
   *
   * Otherwise, we align all divs and temporarily treat them
   * as regular variables, computing the unshifted simple hull in
   * uset_unshifted_simple_hull_from_basic_set_list.
   */
  static __isl_give isl_basic_map *map_unshifted_simple_hull_from_basic_map_list(
  	__isl_take isl_map *map, __isl_take isl_basic_map_list *list)
  {
  	isl_size n;
  	isl_basic_map *model;
  	isl_basic_map *hull;
  	isl_set *set;
  	isl_basic_set_list *bset_list;
  
  	n = isl_basic_map_list_n_basic_map(list);
  	if (!map || n < 0)
  		goto error;
  
  	if (n == 0) {
  		isl_space *space;
  
  		space = isl_map_get_space(map);
  		isl_map_free(map);
  		isl_basic_map_list_free(list);
  		return isl_basic_map_universe(space);
  	}
  	if (isl_map_plain_is_empty(map)) {
  		isl_map_free(map);
  		return isl_basic_map_list_intersect(list);
  	}
  
  	map = isl_map_align_divs_to_basic_map_list(map, list);
  	if (!map)
  		goto error;
  	list = isl_basic_map_list_align_divs_to_basic_map(list, map->p[0]);
  
  	model = isl_basic_map_list_get_basic_map(list, 0);
  
  	set = isl_map_underlying_set(map);
  	bset_list = isl_basic_map_list_underlying_set(list);
  
  	hull = uset_unshifted_simple_hull_from_basic_set_list(set, bset_list);
  	hull = isl_basic_map_overlying_set(hull, model);
  
  	return hull;
  error:
  	isl_map_free(map);
  	isl_basic_map_list_free(list);
  	return NULL;
  }
  
  /* Return a sequence of the basic maps that make up the maps in "list".
   */
  static __isl_give isl_basic_map_list *collect_basic_maps(
  	__isl_take isl_map_list *list)
  {
  	int i;
  	isl_size n;
  	isl_ctx *ctx;
  	isl_basic_map_list *bmap_list;
  
  	if (!list)
  		return NULL;
  	n = isl_map_list_n_map(list);
  	ctx = isl_map_list_get_ctx(list);
  	bmap_list = isl_basic_map_list_alloc(ctx, 0);
  	if (n < 0)
  		bmap_list = isl_basic_map_list_free(bmap_list);
  
  	for (i = 0; i < n; ++i) {
  		isl_map *map;
  		isl_basic_map_list *list_i;
  
  		map = isl_map_list_get_map(list, i);
  		map = isl_map_compute_divs(map);
  		list_i = isl_map_get_basic_map_list(map);
  		isl_map_free(map);
  		bmap_list = isl_basic_map_list_concat(bmap_list, list_i);
  	}
  
  	isl_map_list_free(list);
  	return bmap_list;
  }
  
  /* Compute a superset of the convex hull of "map" that is described
   * by only constraints in the elements of "list".
   *
   * If "map" is the universe, then the convex hull (and therefore
   * any superset of the convexhull) is the universe as well.
   *
   * Otherwise, we collect all the basic maps in the map list and
   * continue with map_unshifted_simple_hull_from_basic_map_list.
   */
  __isl_give isl_basic_map *isl_map_unshifted_simple_hull_from_map_list(
  	__isl_take isl_map *map, __isl_take isl_map_list *list)
  {
  	isl_basic_map_list *bmap_list;
  	int is_universe;
  
  	is_universe = isl_map_plain_is_universe(map);
  	if (is_universe < 0)
  		map = isl_map_free(map);
  	if (is_universe < 0 || is_universe) {
  		isl_map_list_free(list);
  		return isl_map_unshifted_simple_hull(map);
  	}
  
  	bmap_list = collect_basic_maps(list);
  	return map_unshifted_simple_hull_from_basic_map_list(map, bmap_list);
  }
  
  /* Compute a superset of the convex hull of "set" that is described
   * by only constraints in the elements of "list".
   */
  __isl_give isl_basic_set *isl_set_unshifted_simple_hull_from_set_list(
  	__isl_take isl_set *set, __isl_take isl_set_list *list)
  {
  	return isl_map_unshifted_simple_hull_from_map_list(set, list);
  }
  
  /* Given a set "set", return parametric bounds on the dimension "dim".
   */
  static __isl_give isl_basic_set *set_bounds(__isl_keep isl_set *set, int dim)
  {
  	isl_size set_dim = isl_set_dim(set, isl_dim_set);
  	if (set_dim < 0)
  		return NULL;
  	set = isl_set_copy(set);
  	set = isl_set_eliminate_dims(set, dim + 1, set_dim - (dim + 1));
  	set = isl_set_eliminate_dims(set, 0, dim);
  	return isl_set_convex_hull(set);
  }
  
  /* Computes a "simple hull" and then check if each dimension in the
   * resulting hull is bounded by a symbolic constant.  If not, the
   * hull is intersected with the corresponding bounds on the whole set.
   */
  __isl_give isl_basic_set *isl_set_bounded_simple_hull(__isl_take isl_set *set)
  {
  	int i, j;
  	struct isl_basic_set *hull;
  	isl_size nparam, dim, total;
  	unsigned left;
  	int removed_divs = 0;
  
  	hull = isl_set_simple_hull(isl_set_copy(set));
  	nparam = isl_basic_set_dim(hull, isl_dim_param);
  	dim = isl_basic_set_dim(hull, isl_dim_set);
  	total = isl_basic_set_dim(hull, isl_dim_all);
  	if (nparam < 0 || dim < 0 || total < 0)
  		goto error;
  
  	for (i = 0; i < dim; ++i) {
  		int lower = 0, upper = 0;
  		struct isl_basic_set *bounds;
  
  		left = total - nparam - i - 1;
  		for (j = 0; j < hull->n_eq; ++j) {
  			if (isl_int_is_zero(hull->eq[j][1 + nparam + i]))
  				continue;
  			if (isl_seq_first_non_zero(hull->eq[j]+1+nparam+i+1,
  						    left) == -1)
  				break;
  		}
  		if (j < hull->n_eq)
  			continue;
  
  		for (j = 0; j < hull->n_ineq; ++j) {
  			if (isl_int_is_zero(hull->ineq[j][1 + nparam + i]))
  				continue;
  			if (isl_seq_first_non_zero(hull->ineq[j]+1+nparam+i+1,
  						    left) != -1 ||
  			    isl_seq_first_non_zero(hull->ineq[j]+1+nparam,
  						    i) != -1)
  				continue;
  			if (isl_int_is_pos(hull->ineq[j][1 + nparam + i]))
  				lower = 1;
  			else
  				upper = 1;
  			if (lower && upper)
  				break;
  		}
  
  		if (lower && upper)
  			continue;
  
  		if (!removed_divs) {
  			set = isl_set_remove_divs(set);
  			if (!set)
  				goto error;
  			removed_divs = 1;
  		}
  		bounds = set_bounds(set, i);
  		hull = isl_basic_set_intersect(hull, bounds);
  		if (!hull)
  			goto error;
  	}
  
  	isl_set_free(set);
  	return hull;
  error:
  	isl_set_free(set);
  	isl_basic_set_free(hull);
  	return NULL;
  }
  