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| author | Vsevolod Stakhov <vsevolod@rspamd.com> | 2023-08-07 11:41:28 +0100 |
|---|---|---|
| committer | Vsevolod Stakhov <vsevolod@rspamd.com> | 2023-08-07 11:41:28 +0100 |
| commit | 662145d0554de5e769b92dab2d41173a98adcee5 (patch) | |
| tree | ec28311a0bce6181f248ba7b50304293ad764e44 /lualib/lua_bayes_learn.lua | |
| parent | bbd88232db43d18f5e0de5a6502848d4074621c5 (diff) | |
| download | rspamd-662145d0554de5e769b92dab2d41173a98adcee5.tar.gz rspamd-662145d0554de5e769b92dab2d41173a98adcee5.zip | |
[Minor] Reformat all Lua code, no functional changes
Diffstat (limited to 'lualib/lua_bayes_learn.lua')
| -rw-r--r-- | lualib/lua_bayes_learn.lua | 16 |
1 files changed, 9 insertions, 7 deletions
diff --git a/lualib/lua_bayes_learn.lua b/lualib/lua_bayes_learn.lua index 7782d8196..ea97db6f8 100644 --- a/lualib/lua_bayes_learn.lua +++ b/lualib/lua_bayes_learn.lua @@ -40,7 +40,7 @@ exports.can_learn = function(task, is_spam, is_unlearn) end if in_class then - return false,string.format( + return false, string.format( 'already in class %s; probability %.2f%%', cl, math.abs((prob - 0.5) * 200.0)) end @@ -56,7 +56,7 @@ exports.autolearn = function(task, conf) local mime_rcpts = 'undef' local mr = task:get_recipients('mime') if mr then - for _,r in ipairs(mr) do + for _, r in ipairs(mr) do if mime_rcpts == 'undef' then mime_rcpts = r.addr else @@ -76,8 +76,8 @@ exports.autolearn = function(task, conf) end -- We have autolearn config so let's figure out what is requested - local verdict,score = lua_verdict.get_specific_verdict("bayes", task) - local learn_spam,learn_ham = false, false + local verdict, score = lua_verdict.get_specific_verdict("bayes", task) + local learn_spam, learn_ham = false, false if verdict == 'passthrough' then -- No need to autolearn @@ -117,12 +117,14 @@ exports.autolearn = function(task, conf) local ham_learns = task:get_mempool():get_variable('ham_learns', 'int64') or 0 local min_balance = 0.9 - if conf.min_balance then min_balance = conf.min_balance end + if conf.min_balance then + min_balance = conf.min_balance + end if spam_learns > 0 or ham_learns > 0 then local max_ratio = 1.0 / min_balance local spam_learns_ratio = spam_learns / (ham_learns + 1) - if spam_learns_ratio > max_ratio and learn_spam then + if spam_learns_ratio > max_ratio and learn_spam then lua_util.debugm(N, task, 'skip learning spam, balance is not satisfied: %s < %s; %s spam learns; %s ham learns', spam_learns_ratio, min_balance, spam_learns, ham_learns) @@ -130,7 +132,7 @@ exports.autolearn = function(task, conf) end local ham_learns_ratio = ham_learns / (spam_learns + 1) - if ham_learns_ratio > max_ratio and learn_ham then + if ham_learns_ratio > max_ratio and learn_ham then lua_util.debugm(N, task, 'skip learning ham, balance is not satisfied: %s < %s; %s spam learns; %s ham learns', ham_learns_ratio, min_balance, spam_learns, ham_learns) |