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JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. 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.
Apart from XML, examples could include CSV and supersets of JSON. Google Protocol Buffers can fill this role, although it is not a data interchange language. CBOR has a superset of the JSON data types, but it is not text-based. Ion is also a superset of JSON, with a wider range of primary types, annotations, comments, and allowing trailing ...
PER Aligned: a fixed number of bits if the integer type has a finite range and the size of the range is less than 65536; a variable number of octets otherwise; OER: 1, 2, or 4 octets (either signed or unsigned) if the integer type has a finite range that fits in that number of octets; a variable number of octets otherwise
In computing, in particular compiler construction, value range analysis is a type of data flow analysis that tracks the range (interval) of values that a numeric variable can take on at each point of a program's execution. [1]
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]
The value must be a NumericDate: [9] either an integer or decimal, representing seconds past 1970-01-01 00:00:00Z. nbf: Not Before Identifies the time on which the JWT will start to be accepted for processing. The value must be a NumericDate. iat: Issued at Identifies the time at which the JWT was issued. The value must be a NumericDate. jti ...
The value assigned to each Likert item is simply determined by the researcher designing the survey, who makes the decision based on a desired level of detail. However, by convention Likert items tend to be assigned progressive positive integer values. Likert scales typically range from 2 to 10 – with 3, 5, or, 7 being the most common. [14]
The goal is to create a model that predicts the value of a target variable based on several input variables. A decision tree is a simple representation for classifying examples. For this section, assume that all of the input features have finite discrete domains, and there is a single target feature called the "classification".