Search results
Results from the WOW.Com Content Network
For example, example.pb.cc and example.pb.h are generated from example.proto. They define C++ classes for each message and service in example.proto . Canonically, messages are serialized into a binary wire format which is compact, forward- and backward-compatible , but not self-describing (that is, there is no way to tell the names, meaning, or ...
(1 byte) True: \x08\x01 False: \x08\x00 (2 bytes) int32: 32-bit little-endian 2's complement or int64: 64-bit little-endian 2's complement: Double: little-endian binary64: UTF-8-encoded, preceded by int32-encoded string length in bytes BSON embedded document with numeric keys BSON embedded document Concise Binary Object Representation (CBOR ...
MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.
In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks .
A long double (eight bytes with Visual C++, sixteen bytes with GCC) will be 8-byte aligned with Visual C++ and 16-byte aligned with GCC. Any pointer (eight bytes) will be 8-byte aligned. Some data types are dependent on the implementation. Here is a structure with members of various types, totaling 8 bytes before compilation:
[note 1] For example, the representation of numbers was chosen to match the representation the most popular CPU architectures. [4] When the in-memory and wire-protocol representations match, Cap'n Proto can avoid copying and encoding data when creating or reading a message and instead point to the location of the value in memory. Cap'n Proto ...
It also puts all the prefix bits at the beginning of the word, instead of at the beginning of each byte. Human interface device report descriptor bytes use a byte-count bitfield of 2 bits to encode the size of the following integer of zero, one, two, or four bytes, always little endian. Signedness, i.e. whether to expand the shortened integer ...
Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. [3] [4] It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression.