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In computer software, JSONPath is a query language for querying values in JSON. The uses of JSONPath include: Selecting a specific node in a JSON value; Retrieving a set of nodes from a JSON value, based on specific criteria; Navigating through complex JSON values to retrieve the required data.
This template looks for a word in a comma-separated list of words. It returns a True (found) or False (not found) value. It returns a True (found) or False (not found) value. By default, the True-value returned is the found word itself; the False-value is a blank string.
When {{Parameter names example}} is used on an immediate subpage of its target template – e.g. on the target template's /doc page – its own |_template= parameter identifying the target template may be omitted. In other words, the code above, if used on Template:Infobox/page (where page could be "doc", "testcases", etc.), would become:
Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor. Additionally, the XML standard defines a common attribute xml:id, that can be used by the user, to set an ID explicitly.
This template looks for a word in a comma-separated list of words. It returns a True (found) or False (not found) value. It returns a True (found) or False (not found) value. By default, the True-value returned is the found word itself; the False-value is a blank string.
replaces a value. Logically identical to using remove and then add. Copy copies a value from one path to another by adding the value at a specified location to another location. Move moves a value from one place to another by removing from one location and adding to another. Test tests for equality at a certain path for a certain value. [3]
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Example of a web form with name-value pairs. A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.