Constness

[pspp] / src / math / covariance.c

diff --git a/src/math/covariance.c b/src/math/covariance.c
index dc3166923d7ddff670d903274caef1dfe548beb4..f0161a54c529c59b187d840611e3cde134d45852 100644 (file)
--- a/src/math/covariance.c
+++ b/src/math/covariance.c
@@ -68,7 +68,7 @@ struct covariance
 {
   /* The variables for which the covariance matrix is to be calculated. */
   size_t n_vars;
-  const struct variable **vars;
+  const struct variable *const *vars;
 
   /* Categorical variables. */
   struct categoricals *categoricals;
@@ -131,11 +131,11 @@ covariance_moments (const struct covariance *cov, int m)
 /* Create a covariance struct.
  */
 struct covariance *
-covariance_1pass_create (size_t n_vars, const struct variable **vars,
+covariance_1pass_create (size_t n_vars, const struct variable *const *vars,
                         const struct variable *weight, enum mv_class exclude)
 {
   size_t i;
-  struct covariance *cov = xmalloc (sizeof *cov);
+  struct covariance *cov = xzalloc (sizeof *cov);
 
   cov->passes = 1;
   cov->state = 0;
@@ -156,7 +156,8 @@ covariance_1pass_create (size_t n_vars, const struct variable **vars,
 
   cov->n_cm = (n_vars * (n_vars - 1)  ) / 2;
 
-  cov->cm = xcalloc (sizeof *cov->cm, cov->n_cm);
+  if (cov->n_cm > 0)
+    cov->cm = xcalloc (sizeof *cov->cm, cov->n_cm);
   cov->categoricals = NULL;
 
   return cov;
@@ -169,8 +170,8 @@ covariance_1pass_create (size_t n_vars, const struct variable **vars,
   until then.
  */
 struct covariance *
-covariance_2pass_create (size_t n_vars, const struct variable **vars,
-                        size_t n_catvars, const struct variable **catvars, 
+covariance_2pass_create (size_t n_vars, const struct variable *const *vars,
+                        size_t n_catvars, const struct variable *const *catvars, 
                         const struct variable *wv, enum mv_class exclude)
 {
   size_t i;
@@ -266,6 +267,7 @@ get_val (const struct covariance *cov, int i, const struct ccase *c)
   return categoricals_get_binary_by_subscript (cov->categoricals, i - cov->n_vars, c);
 }
 
+#if 0
 void
 dump_matrix (const gsl_matrix *m)
 {
@@ -278,6 +280,7 @@ dump_matrix (const gsl_matrix *m)
       printf ("\n");
     }
 }
+#endif
 
 /* Call this function for every case in the data set */
 void
@@ -598,7 +601,8 @@ covariance_calculate_single_pass (struct covariance *cov)
 const gsl_matrix *
 covariance_calculate (struct covariance *cov)
 {
-  assert ( cov->state > 0 );
+  if ( cov->state <= 0 )
+    return NULL;
 
   switch (cov->passes)
     {
@@ -642,7 +646,6 @@ static const gsl_matrix *
 covariance_calculate_single_pass_unnormalized (struct covariance *cov)
 {
   size_t i, j;
-  size_t m;
 
   for (i = 0 ; i < cov->dim; ++i)
     {
@@ -679,7 +682,8 @@ covariance_calculate_single_pass_unnormalized (struct covariance *cov)
 const gsl_matrix *
 covariance_calculate_unnormalized (struct covariance *cov)
 {
-  assert ( cov->state > 0 );
+  if ( cov->state <= 0 )
+    return NULL;
 
   switch (cov->passes)
     {
@@ -694,6 +698,14 @@ covariance_calculate_unnormalized (struct covariance *cov)
     }
 }
 
+/* Function to access the categoricals used by COV
+   The return value is owned by the COV
+*/
+const struct categoricals *
+covariance_get_categoricals (const struct covariance *cov)
+{
+  return cov->categoricals;
+}
 
 
 /* Destroy the COV object */