Module moving_ai_runtime 

Runtime-aggregation experiments for MovingAI planner comparisons.

This module treats the evaluation strategy itself as the experiment target. The concrete variants all answer the same question: “On the same MovingAI family/bucket windows, how should we aggregate A* vs JPS runtime observations?”

The stable core here is intentionally small:

• RuntimeAggregationVariant
• RuntimeSamplingPlan
• RuntimeExperimentCase
• RuntimeObservation
• RuntimeVariantReport
• run_variant_suite

Everything else is an experiment that can be discarded.

Structs

FirstScenarioRuntimeAggregation

FullBucketRuntimeAggregation

PercentileBucketRuntimeAggregation

RuntimeEvaluationConfig

RuntimeExperimentCase

RuntimeObservation

SampledBucketRuntimeAggregation

VarianceTriggeredRuntimeAggregation

Traits

RuntimeAggregationVariant

Functions

current_runtime_process_problem

default_runtime_variants

long_tail_runtime_process_problem

run_variant_suite

synthetic_runtime_process_problem

Type Aliases

RuntimeSamplingPlan

RuntimeVariantReport