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The syntax for printing output in Jinja is using the double curly braces, for example {{ Hello, World! }}. Statements which set variables in jinja or those which do not have an output can be wrapped within {% and %}, using the set keyword. For example {% set foo = 42 %} sets a variable called foo with a value of 42.
The Ansible Automation Platform (AAP) is a REST API, web service, and web-based interface (application) designed to make Ansible more accessible to people with a wide range of IT skillsets. It is a platform composed of multiple components including developer tooling, an operations interface, as well as an Automation Mesh to enable automation ...
The term ansible refers to a category of fictional technological devices capable of superluminal or faster-than-light communication. These devices can instantaneously transmit and receive messages across obstacles and vast distances, including between star systems and even galaxies.
The following is a C-style While loop.It continues looping while x does not equal 3, or in other words it only stops looping when x equals 3.However, since x is initialized to 0 and the value of x is never changed in the loop, the loop will never end (infinite loop).
Conditional (if then) may refer to: . Causal conditional, if X then Y, where X is a cause of Y; Conditional probability, the probability of an event A given that another event B
Condition numbers can also be defined for nonlinear functions, and can be computed using calculus.The condition number varies with the point; in some cases one can use the maximum (or supremum) condition number over the domain of the function or domain of the question as an overall condition number, while in other cases the condition number at a particular point is of more interest.
Exception handling#Condition systems, a generalization of exceptions in exception handling; Condition (SQL), a filtering mechanism in relational database queries; Condition variable, a synchronization primitive in concurrent programming
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms.