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Editing: neural_train_size.lua
-- Lua script that checks if we can store a new training vector -- Uses the following keys: -- key1 - ann key -- returns nspam,nham (or nil if locked) local prefix = KEYS[1] local obsolete = redis.call('HGET', prefix, 'obsolete') if obsolete then return 'obsolete' end local locked = redis.call('HGET', prefix, 'lock') if locked then local host = redis.call('HGET', prefix, 'hostname') or 'unknown' return string.format('%s:%s', host, locked) end local nspam = 0 local nham = 0 local ret = redis.call('SCARD', prefix .. '_spam_set') if ret then nspam = tonumber(ret) end ret = redis.call('SCARD', prefix .. '_ham_set') if ret then nham = tonumber(ret) end return { nspam, nham }
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