Why is the GAY_SEED value significant?

The seed (0x598F318E2B9E884) is a constant used as the starting point for the SPI invariant, ensuring that the resulting sequence (starting with 0xf061ebbc2ca74d78) is uniform across all verified systems.

Which programming languages are supported by this skill?

The skill supports over 15 languages, including Julia (the reference implementation), Python, Ruby, Hy, Babashka, Rust, Go, TypeScript, Haskell, Zig, and OCaml.

What is Strong Parallelism Invariance (SPI)?

SPI is a property ensuring that specific algorithms, particularly pseudo-random number generators like SplitMix64, produce identical bit-level results across different programming languages and execution environments.

How does Polyglot-SPI integrate with cross-language navigation?

It implements Specter-style navigation benchmarks to ensure that path definitions and data traversals produce identical results and comparable performance across different language implementations.

Polyglot SPI Verifier

Name: Polyglot SPI Verifier
Author: plurigrid

byplurigrid

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Security & Testing

Validates cross-language consistency for Strong Parallelism Invariance across 15+ programming environments.

About

Polyglot SPI Verifier ensures bit-perfect deterministic execution across diverse runtime environments by validating the Strong Parallelism Invariance (SPI) seed. By implementing and testing the SplitMix64 algorithm across Julia, Python, Ruby, Rust, and various Lisp dialects, it guarantees that identical color sequences and data traversals are produced regardless of the host language. This skill is critical for developers working on topological computing, distributed parallel systems, or cross-platform applications where execution parity and RNG consistency are non-negotiable requirements.

Key Features

Automated Justfile recipes for multi-language verification
Specter-style cross-language path invariant testing
Cross-language SplitMix64 implementation validation
Deterministic seed verification (0xf061ebbc2ca74d78)
Support for 15+ languages including Julia, Python, Ruby, and Zig
2 GitHub stars

Use Cases

Synchronizing deterministic parallel execution across heterogeneous language runtimes
Verifying cross-platform consistency for topological data structures
Ensuring bit-level parity in distributed systems using shared RNG seeds

About

Key Features

Automated Justfile recipes for multi-language verification
Specter-style cross-language path invariant testing
Cross-language SplitMix64 implementation validation
Deterministic seed verification (0xf061ebbc2ca74d78)
Support for 15+ languages including Julia, Python, Ruby, and Zig
2 GitHub stars

Use Cases

Synchronizing deterministic parallel execution across heterogeneous language runtimes
Verifying cross-platform consistency for topological data structures
Ensuring bit-level parity in distributed systems using shared RNG seeds