Struct adapton_lab::labdef::SampleParams

pub struct SampleParams {
    pub input_seeds: Vec<usize>,
    pub generate_params: GenerateParams,
    pub demand: usize,
    pub validate_output: bool,
    pub change_batch_size: usize,
    pub reflect_trace: bool,
    pub reflect_dcg: bool,
}

Parameters for collecting a single sample. In addition to these parameters, the experiment maintains a Rng based on the input_seeds, below; this Rng is given to Edit::edit to generate psuedo-random edits, in batches. For each engine, this Rng is sequenced across successive samples. Given an input_seeds vector, there is one unique Rng sequence for each engine's sequence of samples.

Fields

input_seeds: Vec<usize>

We convert this seed into a random-number-generator before generating and editing.

generate_params: GenerateParams

Other parameters for generating the input.

demand: usize

demand: For lazy algorithms, the number of output elements to force, e.g., by producing a vector of output data. Eager algorithms ignore this parameter (they always produce all of their output).

validate_output: bool

Whether to validate the output after each computation using the naive and DCG engines

change_batch_size: usize

Size of each batch of changes.

reflect_trace: bool

Reflect the trace (See adapton::engine::reflect::trace::Trace).

reflect_dcg: bool

Reflect the DCG (See adapton::engine::reflect::DCG), including its values (See adapton::engine::reflect_val).

Trait Implementations

impl Clone for SampleParams

fn clone(&self) -> SampleParams

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SampleParams

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.