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Although Crockford originally asserted that JSON is a strict subset of JavaScript and ECMAScript, [15] his specification actually allows valid JSON documents that are not valid JavaScript; JSON allows the Unicode line terminators U+2028 LINE SEPARATOR and U+2029 PARAGRAPH SEPARATOR to appear unescaped in quoted strings, while ECMAScript 2018 ...
JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data.
[2] 22 of them belong to the JSON functionality, ten more are related to polymorphic table functions. The additions to the standard include: The additions to the standard include: JSON : Functions to create JSON documents, to access parts of JSON documents and to check whether a string contains valid JSON data
Ramesh Pidikiti led implementation of the initial code generator and designer/developer Zeke Sikelianos coined the name Swagger. The Swagger API project was made open source in September 2011. Soon after release, a number of new components were added to the project, including a stand-alone validator, support for Node.js, and Ruby on Rails.
Such validators as the deprecated [19] Google Structured Data Testing Tool, or more recent [20] Google Rich Results Test Tool, [21] Schema.org Markup Validator, [22] Yandex Microformat validator, [23] and Bing Markup Validator [24] can be used to test the validity of the data marked up with the schemas and Microdata.
The Markup Validation Service is a validator by the World Wide Web Consortium (W3C) that allows Internet users to check pre-HTML5 HTML and XHTML documents for well-formed markup against a document type definition (DTD). Markup validation is an important step towards ensuring the technical quality of web pages.
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Tools that use sound, i.e. over-approximating a rigorous model, formal methods approach to static analysis (e.g., using static program assertions). Sound methods contain no false negatives for bug-free programs, at least with regards to the idealized mathematical model they are based on (there is no "unconditional" soundness).