sampleReturn

Samplereturn is a compound term that appears in multiple technical contexts, but it does not denote a single, universally recognized concept. In practice, it is usually encountered as a composite coined for specific projects, software libraries, or domain jargon, where it indicates an action that both involves sampling data or signals and returns a result or signal to another component.

In programming and software design, sampleReturn (often written in camelCase as sampleReturn) is commonly used as a function name or method. It typically denotes a routine that generates or selects a sample from a distribution, dataset, or stream and returns that value to the caller. The exact semantics depend on the implemented distribution or sampling strategy.

In audio and music technology, sampler refers to an instrument or plug-in that plays back digital audio samples. Return is a channel or path that brings processed audio back into a mixer or effects chain. In such contexts samplereturn might describe a routing concept or a naming convention for a function that feeds the sampler's output back into a processing stage, but it is not a standard term.

In data science and reinforcement learning, a sampler is a component that yields samples from a probability model, environment, or policy. Return is the reward signal accumulated over time or the result produced by a sampling procedure. The phrase samplereturn may appear in code comments or docs to indicate the pair (sample, return) or the value returned by a sampling function.

Because the term lacks a fixed definition, readers should rely on contextual cues in the surrounding text or documentation to determine its intended meaning.