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These 32 bits are hashed into a 16 bit secret key value which forms the length of K sec.
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Each word is hashed into a table and the respective support count incremented.
The environments highlighted red and blue are hashed to the same bit.
Our hash function enumerates a subset of the sequence being hashed using 2 bits per color (the size of the subset is constrained by memory limitations on the hash table).
The features were hashed to 214 bit sparse binary fingerprints.
This collision appears only in Morgan2, which is hashed to a size of 210 bits whereas CountMorgan2 uses 232 bits.
Each item in the set (s_i) is hashed k times, with each hash yielding a bit location; these bits are set to 1.
Initially all m bits in the array are set to 0. To insert an element (s_i in S) into a BF, (s_i) is hashed with all the k hash functions.
That's all been hashed over before.
We need to stop hashing the hash that's already been hashed and get something done.
But a crucial change was introduced into the script while the writer, Ron Nyswaner, and director, Jonathan Demme, were hashing it out.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com