SPI Parallelism Verification FAQs

Question 1

How do I integrate this into my existing CI/CD?

Accepted Answer

The skill provides a CLI entry point that outputs JSON, allowing you to easily integrate SPI verification into automated testing suites to catch regressions in determinism.

Question 2

Does it support high-precision math?

Accepted Answer

The skill defaults to 64-bit exactness for RNG states but includes patterns for 128-bit and arbitrary precision (MPFR) to prevent floating-point truncation errors during verification.

Question 3

What is Strong Parallelism Invariance (SPI)?

Accepted Answer

SPI is a mathematical guarantee that a deterministic generator will produce identical results regardless of the order in which indices are computed, whether sequentially, shuffled, or in parallel.

Question 4

Can this skill be used to test parallel thread safety?

Accepted Answer

Yes, it specifically compares the results of a multi-threaded ThreadPoolExecutor against a sequential baseline to ensure that race conditions or state leaks aren't affecting the deterministic output.

Question 5

Why is GF(3) conservation important in this skill?

Accepted Answer

In tripartite systems, GF(3) conservation ensures that triplets of 'trits' sum to zero (mod 3), which is a critical invariant for maintaining balanced state transitions in topological and scientific simulations.

SPI Parallelism Verification

主要功能

使用场景

SPI Parallelism Verification

主要功能

使用场景