+static void
+ctables_stack_uninit (struct ctables_stack *stack)
+{
+ if (stack)
+ {
+ for (size_t i = 0; i < stack->n; i++)
+ ctables_nest_uninit (&stack->nests[i]);
+ free (stack->nests);
+ }
+}
+
+static struct ctables_stack
+nest_fts (struct ctables_stack s0, struct ctables_stack s1)
+{
+ if (!s0.n)
+ return s1;
+ else if (!s1.n)
+ return s0;
+
+ struct ctables_stack stack = { .nests = xnmalloc (s0.n, s1.n * sizeof *stack.nests) };
+ for (size_t i = 0; i < s0.n; i++)
+ for (size_t j = 0; j < s1.n; j++)
+ {
+ const struct ctables_nest *a = &s0.nests[i];
+ const struct ctables_nest *b = &s1.nests[j];
+
+ size_t allocate = a->n + b->n;
+ struct variable **vars = xnmalloc (allocate, sizeof *vars);
+ enum pivot_axis_type *axes = xnmalloc (allocate, sizeof *axes);
+ size_t n = 0;
+ for (size_t k = 0; k < a->n; k++)
+ vars[n++] = a->vars[k];
+ for (size_t k = 0; k < b->n; k++)
+ vars[n++] = b->vars[k];
+ assert (n == allocate);
+
+ const struct ctables_nest *summary_src;
+ if (!a->specs[CSV_CELL].var)
+ summary_src = b;
+ else if (!b->specs[CSV_CELL].var)
+ summary_src = a;
+ else
+ NOT_REACHED ();
+
+ struct ctables_nest *new = &stack.nests[stack.n++];
+ *new = (struct ctables_nest) {
+ .vars = vars,
+ .scale_idx = (a->scale_idx != SIZE_MAX ? a->scale_idx
+ : b->scale_idx != SIZE_MAX ? a->n + b->scale_idx
+ : SIZE_MAX),
+ .n = n,
+ };
+ for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+ ctables_summary_spec_set_clone (&new->specs[sv], &summary_src->specs[sv]);
+ }
+ ctables_stack_uninit (&s0);
+ ctables_stack_uninit (&s1);
+ return stack;
+}
+
+static struct ctables_stack
+stack_fts (struct ctables_stack s0, struct ctables_stack s1)
+{
+ struct ctables_stack stack = { .nests = xnmalloc (s0.n + s1.n, sizeof *stack.nests) };
+ for (size_t i = 0; i < s0.n; i++)
+ stack.nests[stack.n++] = s0.nests[i];
+ for (size_t i = 0; i < s1.n; i++)
+ stack.nests[stack.n++] = s1.nests[i];
+ assert (stack.n == s0.n + s1.n);
+ free (s0.nests);
+ free (s1.nests);
+ return stack;
+}
+
+static struct ctables_stack
+enumerate_fts (enum pivot_axis_type axis_type, const struct ctables_axis *a)
+{
+ if (!a)
+ return (struct ctables_stack) { .n = 0 };
+
+ switch (a->op)
+ {
+ case CTAO_VAR:
+ assert (!a->var.is_mrset);
+
+ struct variable **vars = xmalloc (sizeof *vars);
+ *vars = a->var.var;
+
+ struct ctables_nest *nest = xmalloc (sizeof *nest);
+ *nest = (struct ctables_nest) {
+ .vars = vars,
+ .n = 1,
+ .scale_idx = a->scale ? 0 : SIZE_MAX,
+ };
+ if (a->specs[CSV_CELL].n || a->scale)
+ for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+ {
+ ctables_summary_spec_set_clone (&nest->specs[sv], &a->specs[sv]);
+ nest->specs[sv].var = a->var.var;
+ }
+ return (struct ctables_stack) { .nests = nest, .n = 1 };
+
+ case CTAO_STACK:
+ return stack_fts (enumerate_fts (axis_type, a->subs[0]),
+ enumerate_fts (axis_type, a->subs[1]));
+
+ case CTAO_NEST:
+ return nest_fts (enumerate_fts (axis_type, a->subs[0]),
+ enumerate_fts (axis_type, a->subs[1]));
+ }
+
+ NOT_REACHED ();
+}
+
+union ctables_summary
+ {
+ /* COUNT, VALIDN, TOTALN. */
+ struct
+ {
+ double valid;
+ double missing;
+ };
+
+ /* MINIMUM, MAXIMUM, RANGE. */
+ struct
+ {
+ double min;
+ double max;
+ };
+
+ /* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
+ struct moments1 *moments;
+
+ /* XXX percentiles, median, mode, multiple response */
+ };
+
+static void
+ctables_summary_init (union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ s->missing = s->valid = 0;
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ s->min = s->max = SYSMIS;
+ break;
+
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ s->moments = moments1_create (MOMENT_VARIANCE);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static void UNUSED
+ctables_summary_uninit (union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ break;
+
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ moments1_destroy (s->moments);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static void
+ctables_summary_add (union ctables_summary *s,
+ const struct ctables_summary_spec *ss,
+ const struct variable *var, const union value *value,
+ double weight)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ if (var_is_value_missing (var, value))
+ s->missing += weight;
+ else
+ s->valid += weight;
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ if (!var_is_value_missing (var, value))
+ {
+ assert (!var_is_alpha (var)); /* XXX? */
+ if (s->min == SYSMIS || value->f < s->min)
+ s->min = value->f;
+ if (s->max == SYSMIS || value->f > s->max)
+ s->max = value->f;
+ }
+ break;
+
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ moments1_add (s->moments, value->f, weight);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static double
+ctables_summary_value (const struct ctables_cell *cell,
+ union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ return s->valid;
+
+ case CTSF_SUBTABLEPCT_COUNT:
+ return cell->domains[CTDT_SUBTABLE]->valid ? s->valid / cell->domains[CTDT_SUBTABLE]->valid * 100 : SYSMIS;
+
+ case CTSF_ROWPCT_COUNT:
+ return cell->domains[CTDT_ROW]->valid ? s->valid / cell->domains[CTDT_ROW]->valid * 100 : SYSMIS;
+
+ case CTSF_COLPCT_COUNT:
+ return cell->domains[CTDT_COL]->valid ? s->valid / cell->domains[CTDT_COL]->valid * 100 : SYSMIS;
+
+ case CTSF_TABLEPCT_COUNT:
+ return cell->domains[CTDT_TABLE]->valid ? s->valid / cell->domains[CTDT_TABLE]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERPCT_COUNT:
+ return cell->domains[CTDT_LAYER]->valid ? s->valid / cell->domains[CTDT_LAYER]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERROWPCT_COUNT:
+ return cell->domains[CTDT_LAYERROW]->valid ? s->valid / cell->domains[CTDT_LAYERROW]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERCOLPCT_COUNT:
+ return cell->domains[CTDT_LAYERCOL]->valid ? s->valid / cell->domains[CTDT_LAYERCOL]->valid * 100 : SYSMIS;
+
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ NOT_REACHED ();
+
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ return s->valid + s->missing;
+
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ return s->valid;
+
+ case CTSF_MAXIMUM:
+ return s->max;
+
+ case CTSF_MINIMUM:
+ return s->min;
+
+ case CTSF_RANGE:
+ return s->max != SYSMIS && s->min != SYSMIS ? s->max - s->min : SYSMIS;
+
+ case CTSF_MEAN:
+ {
+ double mean;
+ moments1_calculate (s->moments, NULL, &mean, NULL, NULL, NULL);
+ return mean;
+ }
+
+ case CTSF_SEMEAN:
+ {
+ double weight, variance;
+ moments1_calculate (s->moments, &weight, NULL, &variance, NULL, NULL);
+ return calc_semean (variance, weight);
+ }
+
+ case CTSF_STDDEV:
+ {
+ double variance;
+ moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+ return variance != SYSMIS ? sqrt (variance) : SYSMIS;
+ }
+
+ case CTSF_SUM:
+ {
+ double weight, mean;
+ moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
+ return weight != SYSMIS && mean != SYSMIS ? weight * mean : SYSMIS;
+ }
+
+ case CTSF_VARIANCE:
+ {
+ double variance;
+ moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+ return variance;
+ }
+
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ NOT_REACHED ();
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+
+ NOT_REACHED ();
+}
+
+struct ctables_cell_sort_aux
+ {
+ const struct ctables_table *t;
+ enum pivot_axis_type a;
+ };
+
+static int
+ctables_cell_compare_3way (const void *a_, const void *b_, const void *aux_)
+{
+ const struct ctables_cell_sort_aux *aux = aux_;
+ struct ctables_cell *const *ap = a_;
+ struct ctables_cell *const *bp = b_;
+ const struct ctables_cell *a = *ap;
+ const struct ctables_cell *b = *bp;
+
+ size_t a_idx = a->axes[aux->a].stack_idx;
+ size_t b_idx = b->axes[aux->a].stack_idx;
+ if (a_idx != b_idx)
+ return a_idx < b_idx ? -1 : 1;
+
+ const struct ctables_nest *nest = &aux->t->stacks[aux->a].nests[a_idx];
+ for (size_t i = 0; i < nest->n; i++)
+ if (i != nest->scale_idx)
+ {
+ const struct variable *var = nest->vars[i];
+ const struct ctables_cell_value *a_cv = &a->axes[aux->a].cvs[i];
+ const struct ctables_cell_value *b_cv = &b->axes[aux->a].cvs[i];
+ if (a_cv->category != b_cv->category)
+ return a_cv->category > b_cv->category ? 1 : -1;
+
+ const union value *a_val = &a_cv->value;
+ const union value *b_val = &b_cv->value;
+ switch (a_cv->category->type)
+ {
+ case CCT_NUMBER:
+ case CCT_STRING:
+ case CCT_SUBTOTAL:
+ case CCT_HSUBTOTAL:
+ case CCT_TOTAL:
+ /* Must be equal. */
+ continue;
+
+ case CCT_RANGE:
+ case CCT_MISSING:
+ case CCT_OTHERNM:
+ {
+ int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+ if (cmp)
+ return cmp;
+ }
+ break;
+
+ case CCT_VALUE:
+ {
+ int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+ if (cmp)
+ return a_cv->category->sort_ascending ? cmp : -cmp;
+ }
+ break;
+
+ case CCT_LABEL:
+ {
+ const char *a_label = var_lookup_value_label (var, a_val);
+ const char *b_label = var_lookup_value_label (var, b_val);
+ int cmp = (a_label
+ ? (b_label ? strcmp (a_label, b_label) : 1)
+ : (b_label ? -1 : value_compare_3way (
+ a_val, b_val, var_get_width (var))));
+ if (cmp)
+ return a_cv->category->sort_ascending ? cmp : -cmp;
+ }
+ break;
+
+ case CCT_FUNCTION:
+ NOT_REACHED ();
+ }
+ }
+ return 0;
+}
+
+/* Algorithm:
+
+ For each row:
+ For each ctables_table:
+ For each combination of row vars:
+ For each combination of column vars:
+ For each combination of layer vars:
+ Add entry
+ Make a table of row values:
+ Sort entries by row values
+ Assign a 0-based index to each actual value
+ Construct a dimension
+ Make a table of column values
+ Make a table of layer values
+ For each entry:
+ Fill the table entry using the indexes from before.
+ */
+
+static struct ctables_domain *
+ctables_domain_insert (struct ctables_table *t, struct ctables_cell *cell,
+ enum ctables_domain_type domain)
+{
+ size_t hash = 0;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ size_t idx = cell->axes[a].stack_idx;
+ const struct ctables_nest *nest = &t->stacks[a].nests[idx];
+ hash = hash_int (idx, hash);
+ for (size_t i = 0; i < nest->n_domains[domain]; i++)
+ {
+ size_t v_idx = nest->domains[domain][i];
+ hash = value_hash (&cell->axes[a].cvs[v_idx].value,
+ var_get_width (nest->vars[v_idx]), hash);
+ }
+ }
+
+ struct ctables_domain *d;
+ HMAP_FOR_EACH_WITH_HASH (d, struct ctables_domain, node, hash, &t->domains[domain])
+ {
+ const struct ctables_cell *df = d->example;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ size_t idx = cell->axes[a].stack_idx;
+ if (idx != df->axes[a].stack_idx)
+ goto not_equal;
+
+ const struct ctables_nest *nest = &t->stacks[a].nests[idx];
+ for (size_t i = 0; i < nest->n_domains[domain]; i++)
+ {
+ size_t v_idx = nest->domains[domain][i];
+ if (!value_equal (&df->axes[a].cvs[v_idx].value,
+ &cell->axes[a].cvs[v_idx].value,
+ var_get_width (nest->vars[v_idx])))
+ goto not_equal;
+ }
+ }
+ return d;
+
+ not_equal: ;
+ }
+
+ d = xmalloc (sizeof *d);
+ *d = (struct ctables_domain) { .example = cell };
+ hmap_insert (&t->domains[domain], &d->node, hash);
+ return d;
+}
+
+static const struct ctables_category *
+ctables_categories_match (const struct ctables_categories *c,
+ const union value *v, const struct variable *var)
+{
+ const struct ctables_category *othernm = NULL;
+ for (size_t i = c->n_cats; i-- > 0; )
+ {
+ const struct ctables_category *cat = &c->cats[i];
+ switch (cat->type)
+ {
+ case CCT_NUMBER:
+ if (cat->number == v->f)
+ return cat;
+ break;
+
+ case CCT_STRING:
+ NOT_REACHED ();
+
+ case CCT_RANGE:
+ if ((cat->range[0] == -DBL_MAX || v->f >= cat->range[0])
+ && (cat->range[1] == DBL_MAX || v->f <= cat->range[1]))
+ return cat;
+ break;
+
+ case CCT_MISSING:
+ if (var_is_value_missing (var, v))
+ return cat;
+ break;
+
+ case CCT_OTHERNM:
+ if (!othernm)
+ othernm = cat;
+ break;
+
+ case CCT_SUBTOTAL:
+ case CCT_HSUBTOTAL:
+ case CCT_TOTAL:
+ break;
+
+ case CCT_VALUE:
+ case CCT_LABEL:
+ case CCT_FUNCTION:
+ return (cat->include_missing || !var_is_value_missing (var, v) ? cat
+ : NULL);
+ }
+ }
+
+ return var_is_value_missing (var, v) ? NULL : othernm;
+}
+
+static const struct ctables_category *
+ctables_categories_total (const struct ctables_categories *c)
+{
+ const struct ctables_category *first = &c->cats[0];
+ const struct ctables_category *last = &c->cats[c->n_cats - 1];
+ return (first->type == CCT_TOTAL ? first
+ : last->type == CCT_TOTAL ? last
+ : NULL);
+}
+
+static struct ctables_cell *
+ctables_cell_insert__ (struct ctables_table *t, const struct ccase *c,
+ size_t ix[PIVOT_N_AXES],
+ const struct ctables_category *cats[PIVOT_N_AXES][10])
+{
+ const struct ctables_nest *ss = &t->stacks[t->summary_axis].nests[ix[t->summary_axis]];
+
+ size_t hash = 0;
+ enum ctables_summary_variant sv = CSV_CELL;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ hash = hash_int (ix[a], hash);
+ for (size_t i = 0; i < nest->n; i++)
+ if (i != nest->scale_idx)
+ {
+ hash = hash_pointer (cats[a][i], hash);
+ if (cats[a][i]->type != CCT_TOTAL
+ && cats[a][i]->type != CCT_SUBTOTAL
+ && cats[a][i]->type != CCT_HSUBTOTAL)
+ hash = value_hash (case_data (c, nest->vars[i]),
+ var_get_width (nest->vars[i]), hash);
+ else
+ sv = CSV_TOTAL;
+ }
+ }
+
+ struct ctables_cell *cell;
+ HMAP_FOR_EACH_WITH_HASH (cell, struct ctables_cell, node, hash, &t->cells)
+ {
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ if (cell->axes[a].stack_idx != ix[a])
+ goto not_equal;
+ for (size_t i = 0; i < nest->n; i++)
+ if (i != nest->scale_idx
+ && (cats[a][i] != cell->axes[a].cvs[i].category
+ || (cats[a][i]->type != CCT_TOTAL
+ && cats[a][i]->type != CCT_SUBTOTAL
+ && cats[a][i]->type != CCT_HSUBTOTAL
+ && !value_equal (case_data (c, nest->vars[i]),
+ &cell->axes[a].cvs[i].value,
+ var_get_width (nest->vars[i])))))
+ goto not_equal;
+ }
+
+ return cell;
+
+ not_equal: ;
+ }
+
+ cell = xmalloc (sizeof *cell);
+ cell->hide = false;
+ cell->sv = sv;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ cell->axes[a].stack_idx = ix[a];
+ cell->axes[a].cvs = (nest->n
+ ? xnmalloc (nest->n, sizeof *cell->axes[a].cvs)
+ : NULL);
+ for (size_t i = 0; i < nest->n; i++)
+ {
+ if (i != nest->scale_idx)
+ {
+ const struct ctables_category *subtotal = cats[a][i]->subtotal;
+ if (subtotal && subtotal->type == CCT_HSUBTOTAL)
+ cell->hide = true;
+ }
+
+ cell->axes[a].cvs[i].category = cats[a][i];
+ value_clone (&cell->axes[a].cvs[i].value, case_data (c, nest->vars[i]),
+ var_get_width (nest->vars[i]));
+ }
+ }
+
+ const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
+ cell->summaries = xmalloc (specs->n * sizeof *cell->summaries);
+ for (size_t i = 0; i < specs->n; i++)
+ ctables_summary_init (&cell->summaries[i], &specs->specs[i]);
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ cell->domains[dt] = ctables_domain_insert (t, cell, dt);
+ hmap_insert (&t->cells, &cell->node, hash);
+ return cell;
+}
+
+static void
+ctables_cell_add__ (struct ctables_table *t, const struct ccase *c,
+ size_t ix[PIVOT_N_AXES],
+ const struct ctables_category *cats[PIVOT_N_AXES][10],
+ double weight)
+{
+ struct ctables_cell *cell = ctables_cell_insert__ (t, c, ix, cats);
+ const struct ctables_nest *ss = &t->stacks[t->summary_axis].nests[ix[t->summary_axis]];
+
+ const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
+ for (size_t i = 0; i < specs->n; i++)
+ ctables_summary_add (&cell->summaries[i], &specs->specs[i], specs->var,
+ case_data (c, specs->var), weight);
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ cell->domains[dt]->valid += weight;
+}
+
+static void
+recurse_totals (struct ctables_table *t, const struct ccase *c,
+ size_t ix[PIVOT_N_AXES],
+ const struct ctables_category *cats[PIVOT_N_AXES][10],
+ double weight,
+ enum pivot_axis_type start_axis, size_t start_nest)
+{
+ for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ for (size_t i = start_nest; i < nest->n; i++)
+ {
+ if (i == nest->scale_idx)
+ continue;
+
+ const struct variable *var = nest->vars[i];
+
+ const struct ctables_category *total = ctables_categories_total (
+ t->categories[var_get_dict_index (var)]);
+ if (total)
+ {
+ const struct ctables_category *save = cats[a][i];
+ cats[a][i] = total;
+ ctables_cell_add__ (t, c, ix, cats, weight);
+ recurse_totals (t, c, ix, cats, weight, a, i + 1);
+ cats[a][i] = save;
+ }
+ }
+ start_nest = 0;
+ }
+}
+
+static void
+ctables_cell_insert (struct ctables_table *t,
+ const struct ccase *c,
+ size_t ir, size_t ic, size_t il,
+ double weight)
+{
+ size_t ix[PIVOT_N_AXES] = {
+ [PIVOT_AXIS_ROW] = ir,
+ [PIVOT_AXIS_COLUMN] = ic,
+ [PIVOT_AXIS_LAYER] = il,
+ };
+
+ const struct ctables_category *cats[PIVOT_N_AXES][10];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ for (size_t i = 0; i < nest->n; i++)
+ {
+ if (i == nest->scale_idx)
+ continue;
+
+ const struct variable *var = nest->vars[i];
+ const union value *value = case_data (c, var);
+
+ if (var_is_numeric (var) && value->f == SYSMIS)
+ return;
+
+ cats[a][i] = ctables_categories_match (
+ t->categories[var_get_dict_index (var)], value, var);
+ if (!cats[a][i])
+ return;
+ }
+ }
+
+ ctables_cell_add__ (t, c, ix, cats, weight);
+
+ recurse_totals (t, c, ix, cats, weight, 0, 0);
+
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ for (size_t i = 0; i < nest->n; i++)
+ {
+ if (i == nest->scale_idx)
+ continue;
+
+ const struct ctables_category *save = cats[a][i];
+ if (save->subtotal)
+ {
+ cats[a][i] = save->subtotal;
+ ctables_cell_add__ (t, c, ix, cats, weight);
+ cats[a][i] = save;
+ }
+ }
+ }
+}
+
+struct merge_item
+ {
+ const struct ctables_summary_spec_set *set;
+ size_t ofs;
+ };
+
+static int
+merge_item_compare_3way (const struct merge_item *a, const struct merge_item *b)
+{
+ const struct ctables_summary_spec *as = &a->set->specs[a->ofs];
+ const struct ctables_summary_spec *bs = &b->set->specs[b->ofs];
+ if (as->function != bs->function)
+ return as->function > bs->function ? 1 : -1;
+ else if (as->percentile != bs->percentile)
+ return as->percentile < bs->percentile ? 1 : -1;
+ return strcmp (as->label, bs->label);
+}
+
+static void
+ctables_table_output_same_axis (struct ctables *ct, struct ctables_table *t)
+{
+ struct pivot_table *pt = pivot_table_create__ (
+ (t->title
+ ? pivot_value_new_user_text (t->title, SIZE_MAX)
+ : pivot_value_new_text (N_("Custom Tables"))),
+ "Custom Tables");
+ if (t->caption)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
+ if (t->corner)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
+
+ pivot_table_set_look (pt, ct->look);
+ struct pivot_dimension *d[PIVOT_N_AXES];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ static const char *names[] = {
+ [PIVOT_AXIS_ROW] = N_("Rows"),
+ [PIVOT_AXIS_COLUMN] = N_("Columns"),
+ [PIVOT_AXIS_LAYER] = N_("Layers"),
+ };
+ d[a] = (t->axes[a] || a == t->summary_axis
+ ? pivot_dimension_create (pt, a, names[a])
+ : NULL);
+ if (!d[a])
+ continue;
+
+ assert (t->axes[a]);
+
+ struct ctables_cell **sorted = xnmalloc (t->cells.count, sizeof *sorted);
+
+ struct ctables_cell *cell;
+ size_t n = 0;
+ HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
+ if (!cell->hide)
+ sorted[n++] = cell;
+ assert (n <= t->cells.count);
+
+ struct ctables_cell_sort_aux aux = { .t = t, .a = a };
+ sort (sorted, n, sizeof *sorted, ctables_cell_compare_3way, &aux);
+
+ size_t max_depth = 0;
+ for (size_t j = 0; j < t->stacks[a].n; j++)
+ if (t->stacks[a].nests[j].n > max_depth)
+ max_depth = t->stacks[a].nests[j].n;
+
+ struct pivot_category **groups = xnmalloc (max_depth, sizeof *groups);
+ struct pivot_category *top = NULL;
+ int prev_leaf = 0;
+ for (size_t j = 0; j < n; j++)
+ {
+ struct ctables_cell *cell = sorted[j];
+ const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].stack_idx];
+
+ size_t n_common = 0;
+ bool new_subtable = false;
+ if (j > 0)
+ {
+ struct ctables_cell *prev = sorted[j - 1];
+ if (prev->axes[a].stack_idx == cell->axes[a].stack_idx)
+ {
+ for (; n_common < nest->n; n_common++)
+ if (n_common != nest->scale_idx
+ && (prev->axes[a].cvs[n_common].category
+ != cell->axes[a].cvs[n_common].category
+ || !value_equal (&prev->axes[a].cvs[n_common].value,
+ &cell->axes[a].cvs[n_common].value,
+ var_get_type (nest->vars[n_common]))))
+ break;
+ }
+ else
+ new_subtable = true;
+ }
+ else
+ new_subtable = true;
+
+ if (new_subtable)
+ {
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[0])];
+ top = d[a]->root;
+ if (vlabel != CTVL_NONE)
+ top = pivot_category_create_group__ (
+ top, pivot_value_new_variable (nest->vars[0]));
+ }
+ if (n_common == nest->n)
+ {
+ cell->axes[a].leaf = prev_leaf;
+ continue;
+ }
+
+ for (size_t k = n_common; k < nest->n; k++)
+ {
+ struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
+
+ struct pivot_value *label
+ = (k == nest->scale_idx ? NULL
+ : (cell->axes[a].cvs[k].category->type == CCT_TOTAL
+ || cell->axes[a].cvs[k].category->type == CCT_SUBTOTAL
+ || cell->axes[a].cvs[k].category->type == CCT_HSUBTOTAL)
+ ? pivot_value_new_user_text (cell->axes[a].cvs[k].category->total_label,
+ SIZE_MAX)
+ : pivot_value_new_var_value (nest->vars[k],
+ &cell->axes[a].cvs[k].value));
+ if (k == nest->n - 1)
+ {
+ if (a == t->summary_axis)
+ {
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
+ const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
+ for (size_t m = 0; m < specs->n; m++)
+ {
+ int leaf = pivot_category_create_leaf (
+ parent, pivot_value_new_text (specs->specs[m].label));
+ if (m == 0)
+ prev_leaf = leaf;
+ }
+ }
+ else
+ {
+ /* This assertion is true as long as the summary axis
+ is the axis where the summaries are displayed. */
+ assert (label);
+
+ prev_leaf = pivot_category_create_leaf (parent, label);
+ }
+ break;
+ }
+
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
+
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k + 1])];
+ if (vlabel != CTVL_NONE)
+ parent = pivot_category_create_group__ (
+ parent, pivot_value_new_variable (nest->vars[k + 1]));
+ groups[k] = parent;
+ }
+
+ cell->axes[a].leaf = prev_leaf;
+ }
+ free (sorted);
+ free (groups);
+ }
+ struct ctables_cell *cell;
+ HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
+ {
+ if (cell->hide)
+ continue;
+
+ const struct ctables_nest *nest = &t->stacks[t->summary_axis].nests[cell->axes[t->summary_axis].stack_idx];
+ const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
+ for (size_t j = 0; j < specs->n; j++)
+ {
+ size_t dindexes[3];
+ size_t n_dindexes = 0;
+
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (d[a])
+ {
+ int leaf = cell->axes[a].leaf;
+ if (a == t->summary_axis)
+ leaf += j;
+ dindexes[n_dindexes++] = leaf;
+ }
+
+ double d = ctables_summary_value (cell, &cell->summaries[j], &specs->specs[j]);
+ struct pivot_value *value = pivot_value_new_number (d);
+ value->numeric.format = specs->specs[j].format;
+ pivot_table_put (pt, dindexes, n_dindexes, value);
+ }
+ }
+
+ pivot_table_submit (pt);
+}
+
+static void
+ctables_table_output_different_axis (struct ctables *ct, struct ctables_table *t)
+{
+ struct pivot_table *pt = pivot_table_create__ (
+ (t->title
+ ? pivot_value_new_user_text (t->title, SIZE_MAX)
+ : pivot_value_new_text (N_("Custom Tables"))),
+ "Custom Tables");
+ if (t->caption)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
+ if (t->corner)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
+
+ pivot_table_set_look (pt, ct->look);
+ struct pivot_dimension *d[PIVOT_N_AXES];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ static const char *names[] = {
+ [PIVOT_AXIS_ROW] = N_("Rows"),
+ [PIVOT_AXIS_COLUMN] = N_("Columns"),
+ [PIVOT_AXIS_LAYER] = N_("Layers"),
+ };
+ d[a] = (t->axes[a] || a == t->summary_axis
+ ? pivot_dimension_create (pt, a, names[a])
+ : NULL);
+ if (!d[a])
+ continue;
+
+ assert (t->axes[a]);
+
+ struct ctables_cell **sorted = xnmalloc (t->cells.count, sizeof *sorted);
+
+ struct ctables_cell *cell;
+ size_t n = 0;
+ HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
+ if (!cell->hide)
+ sorted[n++] = cell;
+ assert (n <= t->cells.count);
+
+ struct ctables_cell_sort_aux aux = { .t = t, .a = a };
+ sort (sorted, n, sizeof *sorted, ctables_cell_compare_3way, &aux);
+
+ size_t max_depth = 0;
+ for (size_t j = 0; j < t->stacks[a].n; j++)
+ if (t->stacks[a].nests[j].n > max_depth)
+ max_depth = t->stacks[a].nests[j].n;
+
+ struct pivot_category **groups = xnmalloc (max_depth, sizeof *groups);
+ struct pivot_category *top = NULL;
+ int prev_leaf = 0;
+ for (size_t j = 0; j < n; j++)
+ {
+ struct ctables_cell *cell = sorted[j];
+ const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].stack_idx];
+
+ /* Pivot categories:
+
+ - variable label for nest->vars[0], if vlabel != CTVL_NONE
+ - category for nest->vars[0]
+ - variable label for nest->vars[1], if vlabel != CTVL_NONE
+ - category for nest->vars[1]
+ ...
+ - variable label for nest->vars[nest->n - 1], if vlabel != CTVL_NONE
+ - category for nest->vars[nest->n - 1], unless axis A's
+ labels are moved to another axis
+ - summary function, if 'a == t->summary_axis && t->slabels_axis ==
+ t->summary_axis'
+
+ Additional dimensions:
+
+ - If 't->slabels_axis != t->summary_axis', add a summary dimension
+ to t->slabels_axis.
+ - If 't->row_labels ==
+
+ */
+
+ size_t n_common = 0;
+ bool new_subtable = false;
+ if (j > 0)
+ {
+ struct ctables_cell *prev = sorted[j - 1];
+ if (prev->axes[a].stack_idx == cell->axes[a].stack_idx)
+ {
+ for (; n_common < nest->n; n_common++)
+ if (n_common != nest->scale_idx
+ && (prev->axes[a].cvs[n_common].category
+ != cell->axes[a].cvs[n_common].category
+ || !value_equal (&prev->axes[a].cvs[n_common].value,
+ &cell->axes[a].cvs[n_common].value,
+ var_get_type (nest->vars[n_common]))))
+ break;
+ }
+ else
+ new_subtable = true;
+ }
+ else
+ new_subtable = true;
+
+ if (new_subtable)
+ {
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[0])];
+ top = d[a]->root;
+ if (vlabel != CTVL_NONE)
+ top = pivot_category_create_group__ (
+ top, pivot_value_new_variable (nest->vars[0]));
+ }
+ if (n_common == nest->n)
+ {
+ cell->axes[a].leaf = prev_leaf;
+ continue;
+ }
+
+ for (size_t k = n_common; k < nest->n; k++)
+ {
+ struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
+
+ struct pivot_value *label
+ = (k == nest->scale_idx ? NULL
+ : (cell->axes[a].cvs[k].category->type == CCT_TOTAL
+ || cell->axes[a].cvs[k].category->type == CCT_SUBTOTAL
+ || cell->axes[a].cvs[k].category->type == CCT_HSUBTOTAL)
+ ? pivot_value_new_user_text (cell->axes[a].cvs[k].category->total_label,
+ SIZE_MAX)
+ : pivot_value_new_var_value (nest->vars[k],
+ &cell->axes[a].cvs[k].value));
+ if (k == nest->n - 1)
+ {
+ if (a == t->slabels_axis)
+ {
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
+ const struct ctables_summary_spec_set *specs = &t->summary_specs;
+ for (size_t m = 0; m < specs->n; m++)
+ {
+ int leaf = pivot_category_create_leaf (
+ parent, pivot_value_new_text (specs->specs[m].label));
+ if (m == 0)
+ prev_leaf = leaf;
+ }
+ }
+ else
+ {
+ prev_leaf = pivot_category_create_leaf (parent, label ? label : pivot_value_new_user_text ("text", SIZE_MAX));
+ }
+ break;
+ }
+
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
+
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k + 1])];
+ if (vlabel != CTVL_NONE)
+ parent = pivot_category_create_group__ (
+ parent, pivot_value_new_variable (nest->vars[k + 1]));
+ groups[k] = parent;
+ }
+
+ cell->axes[a].leaf = prev_leaf;
+ }
+ free (sorted);
+ free (groups);
+ }
+ pivot_table_submit (pt);
+}
+
+
+static void
+ctables_prepare_table (struct ctables_table *t)
+{
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (t->axes[a])
+ {
+ t->stacks[a] = enumerate_fts (a, t->axes[a]);
+
+ for (size_t j = 0; j < t->stacks[a].n; j++)
+ {
+ struct ctables_nest *nest = &t->stacks[a].nests[j];
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ {
+ nest->domains[dt] = xmalloc (nest->n * sizeof *nest->domains[dt]);
+ nest->n_domains[dt] = 0;
+
+ for (size_t k = 0; k < nest->n; k++)
+ {
+ if (k == nest->scale_idx)
+ continue;
+
+ switch (dt)
+ {
+ case CTDT_TABLE:
+ continue;
+
+ case CTDT_LAYER:
+ if (a != PIVOT_AXIS_LAYER)
+ continue;
+ break;
+
+ case CTDT_SUBTABLE:
+ case CTDT_ROW:
+ case CTDT_COL:
+ if (dt == CTDT_SUBTABLE ? a != PIVOT_AXIS_LAYER
+ : dt == CTDT_ROW ? a == PIVOT_AXIS_COLUMN
+ : a == PIVOT_AXIS_ROW)
+ {
+ if (k == nest->n - 1
+ || (nest->scale_idx == nest->n - 1
+ && k == nest->n - 2))
+ continue;
+ }
+ break;
+
+ case CTDT_LAYERROW:
+ if (a == PIVOT_AXIS_COLUMN)
+ continue;
+ break;
+
+ case CTDT_LAYERCOL:
+ if (a == PIVOT_AXIS_ROW)
+ continue;
+ break;
+ }
+
+ nest->domains[dt][nest->n_domains[dt]++] = k;
+ }
+ }
+ }
+ }
+ else
+ {
+ struct ctables_nest *nest = xmalloc (sizeof *nest);
+ *nest = (struct ctables_nest) { .n = 0 };
+ t->stacks[a] = (struct ctables_stack) { .nests = nest, .n = 1 };
+ }
+
+ struct ctables_stack *stack = &t->stacks[t->summary_axis];
+ for (size_t i = 0; i < stack->n; i++)
+ {
+ struct ctables_nest *nest = &stack->nests[i];
+ if (!nest->specs[CSV_CELL].n)
+ {
+ struct ctables_summary_spec_set *specs = &nest->specs[CSV_CELL];
+ specs->specs = xmalloc (sizeof *specs->specs);
+ specs->n = 1;
+
+ enum ctables_summary_function function
+ = specs->var ? CTSF_MEAN : CTSF_COUNT;
+ struct ctables_var var = { .is_mrset = false, .var = specs->var };
+
+ *specs->specs = (struct ctables_summary_spec) {
+ .function = function,
+ .format = ctables_summary_default_format (function, &var),
+ .label = ctables_summary_default_label (function, 0),
+ };
+ if (!specs->var)
+ specs->var = nest->vars[0];
+
+ ctables_summary_spec_set_clone (&nest->specs[CSV_TOTAL],
+ &nest->specs[CSV_CELL]);
+ }
+ else if (!nest->specs[CSV_TOTAL].n)
+ ctables_summary_spec_set_clone (&nest->specs[CSV_TOTAL],
+ &nest->specs[CSV_CELL]);
+ }
+
+ struct ctables_summary_spec_set *merged = &t->summary_specs;
+ struct merge_item *items = xnmalloc (2 * stack->n, sizeof *items);
+ size_t n_left = 0;
+ for (size_t j = 0; j < stack->n; j++)
+ {
+ const struct ctables_nest *nest = &stack->nests[j];
+ if (nest->n)
+ for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+ items[n_left++] = (struct merge_item) { .set = &nest->specs[sv] };
+ }
+
+ while (n_left > 0)
+ {
+ struct merge_item min = items[0];
+ for (size_t j = 1; j < n_left; j++)
+ if (merge_item_compare_3way (&items[j], &min) < 0)
+ min = items[j];
+
+ if (merged->n >= merged->allocated)
+ merged->specs = x2nrealloc (merged->specs, &merged->allocated,
+ sizeof *merged->specs);
+ merged->specs[merged->n++] = min.set->specs[min.ofs];
+
+ for (size_t j = 0; j < n_left; )
+ {
+ if (merge_item_compare_3way (&items[j], &min) == 0)
+ {
+ struct merge_item *item = &items[j];
+ item->set->specs[item->ofs].axis_idx = merged->n - 1;
+ if (++item->ofs >= item->set->n)
+ {
+ items[j] = items[--n_left];
+ continue;
+ }
+ }
+ j++;
+ }
+ }
+
+#if 0
+ for (size_t j = 0; j < merged->n; j++)
+ printf ("%s\n", ctables_summary_function_name (merged->specs[j].function));
+
+ for (size_t j = 0; j < stack->n; j++)
+ {
+ const struct ctables_nest *nest = &stack->nests[j];
+ for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+ {
+ const struct ctables_summary_spec_set *specs = &nest->specs[sv];
+ for (size_t k = 0; k < specs->n; k++)
+ printf ("(%s, %zu) ", ctables_summary_function_name (specs->specs[k].function),
+ specs->specs[k].axis_idx);
+ printf ("\n");
+ }
+ }
+#endif
+}
+
+static void
+ctables_insert_clabels_values (struct ctables_table *t, const struct ccase *c,
+ enum pivot_axis_type a)
+{
+ struct ctables_stack *stack = &t->stacks[a];
+ for (size_t i = 0; i < stack->n; i++)
+ {
+ const struct ctables_nest *nest = &stack->nests[i];
+ const struct variable *v = nest->vars[nest->n - 1];
+ int width = var_get_width (v);
+ const union value *value = case_data (c, v);
+ unsigned int hash = value_hash (value, width, 0);
+
+ struct ctables_value *clv;
+ HMAP_FOR_EACH_WITH_HASH (clv, struct ctables_value, node, hash,
+ &t->clabels_values_map)
+ if (value_equal (value, &clv->value, width))
+ goto next_stack;
+
+ clv = xmalloc (sizeof *clv);
+ value_clone (&clv->value, value, width);
+ hmap_insert (&t->clabels_values_map, &clv->node, hash);
+
+ next_stack: ;
+ }
+}
+
+static int
+compare_clabels_values_3way (const void *a_, const void *b_, const void *width_)
+{
+ const union value *a = a_;
+ const union value *b = b_;
+ const int *width = width_;
+ return value_compare_3way (a, b, *width);
+}
+
+static void
+ctables_sort_clabels_values (struct ctables_table *t)
+{
+ int width = var_get_width (t->clabels_example);
+
+ size_t n = hmap_count (&t->clabels_values_map);
+ t->clabels_values = xnmalloc (n, sizeof *t->clabels_values);
+
+ const struct ctables_value *clv;
+ size_t i = 0;
+ HMAP_FOR_EACH (clv, struct ctables_value, node, &t->clabels_values_map)
+ t->clabels_values[i++] = clv->value;
+ assert (i == n);
+
+ sort (t->clabels_values, n, sizeof *t->clabels_values,
+ compare_clabels_values_3way, &width);
+}
+
+static bool
+ctables_execute (struct dataset *ds, struct ctables *ct)
+{
+ struct casereader *input = casereader_create_filter_weight (proc_open (ds),
+ dataset_dict (ds),
+ NULL, NULL);
+ bool warn_on_invalid = true;
+ double total_weight = 0;
+ for (struct ccase *c = casereader_read (input); c;
+ case_unref (c), c = casereader_read (input))
+ {
+ double weight = dict_get_case_weight (dataset_dict (ds), c,
+ &warn_on_invalid);
+ total_weight += weight;
+
+ for (size_t i = 0; i < ct->n_tables; i++)
+ {
+ struct ctables_table *t = ct->tables[i];
+
+ for (size_t ir = 0; ir < t->stacks[PIVOT_AXIS_ROW].n; ir++)
+ for (size_t ic = 0; ic < t->stacks[PIVOT_AXIS_COLUMN].n; ic++)
+ for (size_t il = 0; il < t->stacks[PIVOT_AXIS_LAYER].n; il++)
+ ctables_cell_insert (t, c, ir, ic, il, weight);
+
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (t->label_axis[a] != a)
+ ctables_insert_clabels_values (t, c, a);
+ }
+ }
+ casereader_destroy (input);
+
+ for (size_t i = 0; i < ct->n_tables; i++)
+ {
+ struct ctables_table *t = ct->tables[i];
+
+ if (t->clabels_example)
+ ctables_sort_clabels_values (t);
+
+ if (t->summary_axis == t->slabels_axis)
+ ctables_table_output_same_axis (ct, ct->tables[i]);
+ else
+ ctables_table_output_different_axis (ct, ct->tables[i]);
+ }
+ return proc_commit (ds);
+}
+
+static bool
+ctables_check_label_position (struct ctables_table *t, enum pivot_axis_type a)
+{
+ enum pivot_axis_type label_pos = t->label_axis[a];
+ if (label_pos == a)
+ return true;
+
+ const char *subcommand_name = a == PIVOT_AXIS_ROW ? "ROWLABELS" : "COLLABELS";
+ const char *pos_name = label_pos == PIVOT_AXIS_LAYER ? "LAYER" : "OPPOSITE";
+
+ const struct ctables_stack *stack = &t->stacks[a];
+ if (!stack->n)
+ return true;
+
+ const struct ctables_nest *n0 = &stack->nests[0];
+ assert (n0->n > 0);
+ const struct variable *v0 = n0->vars[n0->n - 1];
+ struct ctables_categories *c0 = t->categories[var_get_dict_index (v0)];
+ t->clabels_example = v0;
+
+ for (size_t i = 0; i < c0->n_cats; i++)
+ if (c0->cats[i].type == CCT_FUNCTION)
+ {
+ msg (SE, _("%s=%s is not allowed with sorting based "
+ "on a summary function."),
+ subcommand_name, pos_name);
+ return false;
+ }
+
+ for (size_t i = 1; i < stack->n; i++)
+ {
+ const struct ctables_nest *ni = &stack->nests[i];
+ assert (ni->n > 0);
+ const struct variable *vi = ni->vars[ni->n - 1];
+ struct ctables_categories *ci = t->categories[var_get_dict_index (vi)];
+
+ if (var_get_width (v0) != var_get_width (vi))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same width, but %s has "
+ "width %d and %s has width %d."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_width (v0),
+ var_get_name (vi), var_get_width (vi));
+ return false;
+ }
+ if (!val_labs_equal (var_get_value_labels (v0),
+ var_get_value_labels (vi)))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same value labels, but %s "
+ "and %s have different value labels."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_name (vi));
+ return false;
+ }
+ if (!ctables_categories_equal (c0, ci))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same category "
+ "specifications, but %s and %s have different "
+ "category specifications."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_name (vi));
+ return false;
+ }
+ }
+
+ return true;
+}
+
+int
+cmd_ctables (struct lexer *lexer, struct dataset *ds)
+{
+ size_t n_vars = dict_get_n_vars (dataset_dict (ds));
+ enum ctables_vlabel *vlabels = xnmalloc (n_vars, sizeof *vlabels);
+ enum settings_value_show tvars = settings_get_show_variables ();
+ for (size_t i = 0; i < n_vars; i++)
+ vlabels[i] = (enum ctables_vlabel) tvars;
+
+ struct ctables *ct = xmalloc (sizeof *ct);
+ *ct = (struct ctables) {
+ .look = pivot_table_look_unshare (pivot_table_look_ref (
+ pivot_table_look_get_default ())),
+ .vlabels = vlabels,
+ .hide_threshold = 5,
+ };
+ ct->look->omit_empty = false;
+
+ if (!lex_force_match (lexer, T_SLASH))
+ goto error;
+
+ while (!lex_match_id (lexer, "TABLE"))
+ {
+ if (lex_match_id (lexer, "FORMAT"))
+ {
+ double widths[2] = { SYSMIS, SYSMIS };
+ double units_per_inch = 72.0;
+
+ while (lex_token (lexer) != T_SLASH)
+ {
+ if (lex_match_id (lexer, "MINCOLWIDTH"))
+ {
+ if (!parse_col_width (lexer, "MINCOLWIDTH", &widths[0]))
+ goto error;
+ }
+ else if (lex_match_id (lexer, "MAXCOLWIDTH"))
+ {
+ if (!parse_col_width (lexer, "MAXCOLWIDTH", &widths[1]))
+ goto error;
+ }
+ else if (lex_match_id (lexer, "UNITS"))
+ {
+ lex_match (lexer, T_EQUALS);
+ if (lex_match_id (lexer, "POINTS"))
+ units_per_inch = 72.0;
+ else if (lex_match_id (lexer, "INCHES"))
+ units_per_inch = 1.0;
+ else if (lex_match_id (lexer, "CM"))
+ units_per_inch = 2.54;
+ else
+ {
+ lex_error_expecting (lexer, "POINTS", "INCHES", "CM");
+ goto error;
+ }
+ }
+ else if (lex_match_id (lexer, "EMPTY"))
+ {
+ free (ct->zero);
+ ct->zero = NULL;
+
+ lex_match (lexer, T_EQUALS);
+ if (lex_match_id (lexer, "ZERO"))
+ {
+ /* Nothing to do. */
+ }
+ else if (lex_match_id (lexer, "BLANK"))
+ ct->zero = xstrdup ("");
+ else if (lex_force_string (lexer))
+ {
+ ct->zero = ss_xstrdup (lex_tokss (lexer));
+ lex_get (lexer);
+ }
+ else
+ goto error;
+ }
+ else if (lex_match_id (lexer, "MISSING"))
+ {
+ lex_match (lexer, T_EQUALS);
+ if (!lex_force_string (lexer))
+ goto error;
+
+ free (ct->missing);
+ ct->missing = (strcmp (lex_tokcstr (lexer), ".")
+ ? ss_xstrdup (lex_tokss (lexer))
+ : NULL);
+ lex_get (lexer);
+ }
+ else
+ {
+ lex_error_expecting (lexer, "MINCOLWIDTH", "MAXCOLWIDTH",
+ "UNITS", "EMPTY", "MISSING");
+ goto error;
+ }
+ }
+
+ if (widths[0] != SYSMIS && widths[1] != SYSMIS
+ && widths[0] > widths[1])
+ {
+ msg (SE, _("MINCOLWIDTH must not be greater than MAXCOLWIDTH."));
+ goto error;
+ }
+
+ for (size_t i = 0; i < 2; i++)
+ if (widths[i] != SYSMIS)
+ {
+ int *wr = ct->look->width_ranges[TABLE_HORZ];
+ wr[i] = widths[i] / units_per_inch * 96.0;
+ if (wr[0] > wr[1])
+ wr[!i] = wr[i];
+ }
+ }
+ else if (lex_match_id (lexer, "VLABELS"))
+ {
+ if (!lex_force_match_id (lexer, "VARIABLES"))
+ goto error;
+ lex_match (lexer, T_EQUALS);