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| author | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2014-04-20 08:16:49 -0700 |
|---|---|---|
| committer | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2014-04-20 08:16:49 -0700 |
| commit | ad837700b86153be3587672124ee663c964f0f15 (patch) | |
| tree | 7ec6e8fbe539a169d501a3d1767644b68fab2dab /src/classifiers/bayes.c | |
| parent | baeb17562f47dc31610c0f65079c45a7e6ad44bb (diff) | |
| download | rspamd-ad837700b86153be3587672124ee663c964f0f15.tar.gz rspamd-ad837700b86153be3587672124ee663c964f0f15.zip | |
Refactor memory pool naming.
Diffstat (limited to 'src/classifiers/bayes.c')
| -rw-r--r-- | src/classifiers/bayes.c | 10 |
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 */ |