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GYP processes a file that contains a JSON dictionary [2] in order to generate one or more target project make files. The single source .GYP file is generic while the target files are specific to each targeted build tool. In 2016, the Chromium project replaced GYP with GN, a tool that generates ninja builds. The switch to GN resulted in a 20x ...
JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...
Torrent File Editor cross-platform GUI editor for BEncode files; bencode-tools - a C library for manipulating bencoded data and a XML schema like validator for bencode messages in Python; Bento - Bencode library in Elixir. Beecoder - the file stream parser that de/encoding "B-encode" data format on Java using java.io.* stream Api. Bencode ...
FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...
This is most commonly implemented in the underlying object model, like .Net or Cocoa, which includes standard functions that convert the internal data into text. The program can create a complete text representation of any group of objects by calling these methods, which are almost always already implemented in the base associative array class.
YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.
Dumps are produced for a specific set of namespaces and wikis, and then made available for public download. Each dump output file consists of a tar.gz archive which, when uncompressed and untarred, contains one file, with a single line per article, in json format. [Project's main homepage]