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The main approach HKDF follows is the "extract-then-expand" paradigm, where the KDF logically consists of two modules: the first stage takes the input keying material and "extracts" from it a fixed-length pseudorandom key, and then the second stage "expands" this key into several additional pseudorandom keys (the output of the KDF). [2]
This is a documentation subpage for Template:Flatlist. It may contain usage information, categories and other content that is not part of the original template page. This template is used in MediaWiki:Pageinfo-header , and on approximately 2,300,000 pages, or roughly 4% of all pages .
This template provides a WCAG/ISO-standards-compliant accessible alternative to comma- or dash- (or other single character-) separated lists, per WP:FLATLIST and MOS:HLIST. Lists output by {{ Flatlist }} and {{ Hlist }} are semantically and visually identical, and differ only in the wiki-markup used to create the lists.
In my mind, there's a distinction between "nowrap" or "navbox" and "flatlist". Maybe there shouldn't be, but there is. One might argue that using two words is clearer to users. Sometimes people have difficulty separating "flatlist" into "flat list" in their head, particularly if English isn't their native language.
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [1] [2]Key phrases, key terms, key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document.
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Example of a Key Derivation Function chain as used in the Signal Protocol.The output of one KDF function is the input to the next KDF function in the chain. In cryptography, a key derivation function (KDF) is a cryptographic algorithm that derives one or more secret keys from a secret value such as a master key, a password, or a passphrase using a pseudorandom function (which typically uses a ...