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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.
In Kubernetes, all objects serve as the "record of intent" of the cluster's state, and are able to define the desired state that the writer of the object wishes for the cluster to be in. [74] As such, most Kubernetes objects have the same set of nested fields, as follows:
JSON (JavaScript Object Notation, pronounced / ˈ dʒ eɪ s ən / or / ˈ dʒ eɪ ˌ s ɒ n /) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of name–value pairs and arrays (or other serializable values).
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]
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]
OpenShift is a family of containerization software products developed by Red Hat.Its flagship product is the OpenShift Container Platform — a hybrid cloud platform as a service built around Linux containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...