How can a developer force a probabilistic algorithm relying on pseudo-random numbers to run deterministically for debugging?
Answer
By providing the algorithm with the same starting value, known as a seed
Pseudo-random number generators produce identical sequences if they begin from the same initial value (seed), allowing engineers to replay the exact sequence of random events that caused a failure.
Related Questions
What is the fundamental difference between deterministic and probabilistic algorithms?For which type of task are deterministic methods ideal?What is the primary aim of a probabilistic algorithm regarding solution accuracy?If an identical input is run multiple times on a probabilistic algorithm, what might occur?Which real-world calculation necessitates the use of a deterministic approach due to legal requirements?What is the main drawback of using deterministic matching in identity resolution?How does a probabilistic matching algorithm determine if two records belong to the same entity?What risk is introduced if the confidence threshold in probabilistic matching is set too low?When a neural network classifies an image, what output format demonstrates its inherent probabilistic nature?How can a developer force a probabilistic algorithm relying on pseudo-random numbers to run deterministically for debugging?