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Using 4 bits per encoded character leads to a 50% longer output than base64, but simplifies encoding and decoding—expanding each byte in the source independently to two encoded bytes is simpler than base64's expanding 3 source bytes to 4 encoded bytes. Out of PETSCII's first 192 codes, 164 have visible representations when quoted: 5 (white ...
Python 3.3 switched internal storage to use one of ISO-8859-1, UCS-2, or UTF-32 depending on the largest code point in the string. [31] Python 3.12 drops some functionality (for CPython extensions) to make it easier to migrate to UTF-8 for all strings. [32] Java originally used UCS-2, and added UTF-16 supplementary character support in J2SE 5.0.
^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]
The tables below list the number of bytes per code point for different Unicode ranges. Any additional comments needed are included in the table. The figures assume that overheads at the start and end of the block of text are negligible. N.B. The tables below list numbers of bytes per code point, not per user visible "character" (or "grapheme ...
Web pages authored using HyperText Markup Language may contain multilingual text represented with the Unicode universal character set.Key to the relationship between Unicode and HTML is the relationship between the "document character set", which defines the set of characters that may be present in an HTML document and assigns numbers to them, and the "external character encoding", or "charset ...
Python 2 also distinguishes two types of strings: 8-bit ASCII ("bytes") strings (the default), explicitly indicated with a b or B prefix, and Unicode strings, indicated with a u or U prefix. [ 25 ] while in Python 3 strings are Unicode by default and bytes are a separate bytes type that when initialized with quotes must be prefixed with a b .
[1] [a] Most common variable-width encodings are multibyte encodings (aka MBCS – multi-byte character set), which use varying numbers of bytes to encode different characters. (Some authors, notably in Microsoft documentation, use the term multibyte character set, which is a misnomer , because representation size is an attribute of the ...
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]