Josip Ćavar

Here are a few that we encountered. Not necessarily directly related to AudioKit though: - http://openradar.appspot.com/radar?id=5598760801402880 - http://openradar.appspot.com/radar?id=5588189343383552 - http://openradar.appspot.com/radar?id=5490575180562432 - http://openradar.appspot.com/radar?id=5577908240252928 - http://openradar.appspot.com/radar?id=5575719308492800 - http://openradar.appspot.com/radar?id=5583374349500416 - http://openradar.appspot.com/radar?id=5614107591966720 - http://openradar.appspot.com/radar?id=5535281184768000...

Sorry not in that commit, that is for `save`, but in this one https://github.com/soffes/SAMKeychain/commit/a7ea45c86a1e7f75599ad9a541fbab84bb111873

Ok I understand background now, but my problem is that library we are using add keychain items with it's own `accessibilityType`. So i simply want to remove all keychain items...

Related: https://github.com/soffes/SAMKeychain/pull/184/, https://github.com/soffes/SAMKeychain/pull/77

In memory solution could look something like this: ``` - (NSMutableDictionary *)fetchExistingObjectsForMapping:(FEMMapping *)mapping { NSSet *lookupValues = _lookupKeysMap[mapping.entityName]; if (lookupValues.count == 0) return [NSMutableDictionary dictionary]; NSFetchRequest *fetchRequest = [NSFetchRequest fetchRequestWithEntityName:mapping.entityName];...

Or maybe not even filtering objects and just adding everything to cache? This may cause memory issues but as long as objects are faults it should be fine?

Nice, thank you :)

Yes, you are actually right. This must be due to custom store we are using then. Sorry for bothering you, I should have checked with clean project first. I will...

Ok, it seems that issue reproduces with much bigger number 500001. This was found here: http://sqlite.1065341.n5.nabble.com/SQLITE-MAX-VARIABLE-NUMBER-td43457.html It is compile time constant and in our use case it is set to...

Yeah, I think FEM should definitely expose error if it happens and stop processing. That is actually very good point, we should divide our data in reasonable chunks and increase...