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I won’t be doing an in depth analysis here, however I have included a bit of statistics program that prints the typical probe length of the hash desk created from the unique phrases within the input. First let’s consider what API we want: we’d like a option to create and destroy a hash table, get the worth for a given key, set a value for a given key, get the variety of items, and iterate over the objects.
When the hash desk gets too full, we need to allocate a larger array and slots game move the objects over. It’s up to the caller to ensure that the worth pointer is legitimate for the lifetime of the hash table. I just lately wrote a counter package in Go which implements an analogous sort of hash desk. Note that FNV shouldn’t be a randomized or cryptographic hash perform, so it’s potential for an attacker to create keys with a variety of collisions and trigger lookups to gradual manner down – Python switched away from FNV for that reason.