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-rw-r--r--src/classifiers/bayes.c10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/classifiers/bayes.c b/src/classifiers/bayes.c
index dfa4f768b..405336be7 100644
--- a/src/classifiers/bayes.c
+++ b/src/classifiers/bayes.c
@@ -190,9 +190,9 @@ bayes_classify_callback (gpointer key, gpointer value, gpointer data)
}
struct classifier_ctx*
-bayes_init (memory_pool_t *pool, struct classifier_config *cfg)
+bayes_init (rspamd_mempool_t *pool, struct classifier_config *cfg)
{
- struct classifier_ctx *ctx = memory_pool_alloc (pool, sizeof (struct classifier_ctx));
+ struct classifier_ctx *ctx = rspamd_mempool_alloc (pool, sizeof (struct classifier_ctx));
ctx->pool = pool;
ctx->cfg = cfg;
@@ -231,7 +231,7 @@ bayes_classify (struct classifier_ctx* ctx, statfile_pool_t *pool, GTree *input,
cur = call_classifier_pre_callbacks (ctx->cfg, task, FALSE, FALSE, L);
if (cur) {
- memory_pool_add_destructor (task->task_pool, (pool_destruct_func)g_list_free, cur);
+ rspamd_mempool_add_destructor (task->task_pool, (rspamd_mempool_destruct_t)g_list_free, cur);
}
else {
cur = ctx->cfg->statfiles;
@@ -296,7 +296,7 @@ bayes_classify (struct classifier_ctx* ctx, statfile_pool_t *pool, GTree *input,
if (data.processed_tokens > 0 && fabs (final_prob - 0.5) > 0.05) {
- sumbuf = memory_pool_alloc (task->task_pool, 32);
+ sumbuf = rspamd_mempool_alloc (task->task_pool, 32);
for (i = 0; i < cnt; i ++) {
if ((final_prob > 0.5 && !data.statfiles[i].st->is_spam) ||
(final_prob < 0.5 && data.statfiles[i].st->is_spam)) {
@@ -461,7 +461,7 @@ bayes_learn_spam (struct classifier_ctx* ctx, statfile_pool_t *pool,
cur = call_classifier_pre_callbacks (ctx->cfg, task, TRUE, is_spam, L);
if (cur) {
skip_labels = FALSE;
- memory_pool_add_destructor (task->task_pool, (pool_destruct_func)g_list_free, cur);
+ rspamd_mempool_add_destructor (task->task_pool, (rspamd_mempool_destruct_t)g_list_free, cur);
}
else {
/* Do not try to learn specific statfiles if pre callback returned nil */