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Because Base64 is a six-bit encoding, and because the decoded values are divided into 8-bit octets, every four characters of Base64-encoded text (4 sextets = 4 × 6 = 24 bits) represents three octets of unencoded text or data (3 octets = 3 × 8 = 24 bits). This means that when the length of the unencoded input is not a multiple of three, the ...
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.
For example, PKIX uses such notation in RFC 5912. With such notation (constraints on parameterized types using information object sets), generic ASN.1 tools/libraries can automatically encode/decode/resolve references within a document. ^ The primary format is binary, a json encoder is available. [10]
With the VLQ encoding described above, any number that can be encoded with N octets can also be encoded with more than N octets simply by prepending additional 0x80 octets as zero-padding. For example, the decimal number 358 can be encoded as the 2-octet VLQ 0x8266, or the number 0358 can be encoded as 3-octet VLQ 0x808266, or 00358 as the 4 ...
Ascii85, also called Base85, is a form of binary-to-text encoding developed by Paul E. Rutter for the btoa utility. By using five ASCII characters to represent four bytes of binary data (making the encoded size 1 ⁄ 4 larger than the original, assuming eight bits per ASCII character), it is more efficient than uuencode or Base64, which use four characters to represent three bytes of data (1 ...
The number 42 is encoded as i42e. Negative forty-two is encoded as i-42e. Byte Strings are encoded as <length>:<contents>. The length is the number of bytes in the string, encoded in base 10. A colon (:) separates the length and the contents. The contents are the exact number of bytes specified by the length. Examples: An empty string is ...
The nebulous JSON 'number' type is strictly defined in Ion to be one of int: Signed integers of arbitrary size; float: 64-bit IEEE binary-encoded floating point numbers; decimal: Decimal-encoded real numbers of arbitrary precision; Ion adds these types: timestamp: Date/time/time zone moments of arbitrary precision
The representation has a limited precision. For example, only 15 decimal digits can be represented with a 64-bit real. If a very small floating-point number is added to a large one, the result is just the large one. The small number was too small to even show up in 15 or 16 digits of resolution, and the computer effectively discards it.