#include <data/value.h>
#include <libpspp/hmap.h>
#include <libpspp/pool.h>
+#include <libpspp/array.h>
#include <libpspp/str.h>
struct hmap_node node; /* Node in hash map. */
union value value; /* The value being labeled. */
double cc; /* The total of the weights of cases with this value */
+
+ void *user_data; /* A pointer to data which the caller can store stuff */
+
int subscript; /* A zero based integer, unique within the variable.
Can be used as an index into an array */
};
-
struct var_params
{
/* A map indexed by a union values */
};
+/* Comparison function to sort the reverse_value_map in ascending order */
+static int
+compare_value_node (const void *vn1_, const void *vn2_, const void *aux)
+{
+ const struct value_node * const *vn1 = vn1_;
+ const struct value_node * const *vn2 = vn2_;
+ const struct var_params *vp = aux;
+
+ return value_compare_3way (&(*vn1)->value, &(*vn2)->value, var_get_width (vp->var));
+}
+
+
struct categoricals
{
/* The weight variable */
/* Missing values to be excluded */
enum mv_class exclude;
+
+ /* Function to be called on each update */
+ update_func *update;
+
+ /* Function specified by the caller to create user_data */
+ user_data_create_func *user_data_create;
+
+ /* Auxilliary data to be passed to update and user_data_create_func*/
+ void *aux1;
+ void *aux2;
};
printf ("\nReverse variable map:\n");
- for (v = 0 ; v < cat->n_cats_total - cat->n_vars; ++v)
+ for (v = 0 ; v < cat->n_cats_total; ++v)
printf ("%d ", cat->reverse_variable_map[v]);
printf ("\n");
}
}
-
struct categoricals *
-categoricals_create (const struct variable **v, size_t n_vars,
- const struct variable *wv, enum mv_class exclude)
+categoricals_create (const struct variable *const *v, size_t n_vars,
+ const struct variable *wv, enum mv_class exclude,
+ user_data_create_func *udf,
+ update_func *update, void *aux1, void *aux2
+ )
{
size_t i;
struct categoricals *cat = xmalloc (sizeof *cat);
cat->reverse_variable_map = NULL;
cat->pool = pool_create ();
cat->exclude = exclude;
+ cat->update = update;
+ cat->user_data_create = udf;
+
+ cat->aux1 = aux1;
+ cat->aux2 = aux2;
+
cat->vp = pool_calloc (cat->pool, cat->n_vp, sizeof *cat->vp);
cat->n_vars++;
node->subscript = cat->vp[i].n_cats++ ;
+
+ if (cat->user_data_create)
+ node->user_data = cat->user_data_create (cat->aux1, cat->aux2);
}
node->cc += weight;
cat->vp[i].cc += weight;
+
+ if (cat->update)
+ cat->update (node->user_data, cat->exclude, cat->wv, var, c, cat->aux1, cat->aux2);
}
}
int v;
int idx = 0;
cat->reverse_variable_map = pool_calloc (cat->pool,
- cat->n_cats_total - cat->n_vars,
+ cat->n_cats_total,
sizeof *cat->reverse_variable_map);
for (v = 0 ; v < cat->n_vp; ++v)
vp->reverse_value_map[vn->subscript] = vn;
}
+ /* For some purposes (eg CONTRASTS in ONEWAY) the values need to be sorted */
+ sort (vp->reverse_value_map, vp->n_cats, sizeof (const struct value_node *),
+ compare_value_node, vp);
+
/* Populate the reverse variable map.
- This implementation considers the first value of each categorical variable
- as the basis. Therefore, this loop starts from 1 instead of 0 */
- for (i = 1; i < vp->n_cats; ++i)
+ */
+ for (i = 0; i < vp->n_cats; ++i)
cat->reverse_variable_map[idx++] = v;
}
assert (cat->n_vars <= cat->n_vp);
+
}
{
assert (cat->reverse_variable_map);
assert (subscript >= 0);
- assert (subscript < cat->n_cats_total - cat->n_vars);
+ assert (subscript < cat->n_cats_total);
return cat->reverse_variable_map[subscript];
}
{
return cat->n_vars;
}
+
+
+
+void *
+categoricals_get_user_data_by_subscript (const struct categoricals *cat, int subscript)
+{
+ int vindex = reverse_variable_lookup (cat, subscript);
+ const struct var_params *vp = &cat->vp[vindex];
+
+ const struct value_node *vn = vp->reverse_value_map [subscript - vp->base_subscript];
+ return vn->user_data;
+}