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All printable characters in UTF-EBCDIC use at least as many bytes as in UTF-8, and most use more, due to a decision made to allow encoding the C1 control codes as single bytes. For seven-bit environments, UTF-7 is more space efficient than the combination of other Unicode encodings with quoted-printable or base64 for almost all types of text ...
Many standards only support UTF-8, e.g. JSON exchange requires it (without a byte-order mark (BOM)). [30] UTF-8 is also the recommendation from the WHATWG for HTML and DOM specifications, and stating "UTF-8 encoding is the most appropriate encoding for interchange of Unicode" [4] and the Internet Mail Consortium recommends that all e‑mail ...
So newer software systems are starting to use UTF-8. The default string primitive used in newer programing languages, such as Go, [18] Julia, Rust and Swift 5, [19] assume UTF-8 encoding. PyPy also uses UTF-8 for its strings, [20] and Python is looking into storing all strings with UTF-8. [21] Microsoft now recommends the use of UTF-8 for ...
[citation needed] UTF-8 is a sparse encoding: a large fraction of possible byte combinations do not result in valid UTF-8 text. Binary data and text in any other encoding are likely to contain byte sequences that are invalid as UTF-8, so existence of such invalid sequences indicates the file is not UTF-8, while lack of invalid sequences is a ...
The same character converted to UTF-8 becomes the byte sequence EF BB BF. The Unicode Standard allows the BOM "can serve as a signature for UTF-8 encoded text where the character set is unmarked". [75] Some software developers have adopted it for other encodings, including UTF-8, in an attempt to distinguish UTF-8 from local 8-bit code pages.
[8] [9] ^ Means that generic tools/libraries know how to encode, decode, and dereference a reference to another piece of data in the same document. A tool may require the IDL file, but no more. Excludes custom, non-standardized referencing techniques.
Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4] A slightly-modified version of the algorithm is used in large language model tokenizers.
A binary-to-text encoding is encoding of data in plain text. More precisely, it is an encoding of binary data in a sequence of printable characters . These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP ) or is not 8-bit clean .