Sprints 46-58 implement the cross-language porting foundation: language-to-IR adapters, equivalence checking, gate validation, legacy ingestion, managed/dynamic families, low-level/logic-actor semantics, debug workflow tooling, AST-native family tools, Rust/CPP raising tools, system-level orchestration, query family, and porting gates. Sprint 59 adds the governance layer (policy packs, review boards, waiver packets, ambiguity triage, decision ledger) with the whetstone_review_porting_decision MCP tool. Also includes: sprint plans 46-130, MCP taskitem pipeline scripts, CLAUDE.md, docs, and full test matrix (steps 689-828). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
42 lines
1.3 KiB
C++
42 lines
1.3 KiB
C++
#pragma once
|
|
// Step 725: behavioral divergence packet + minimization.
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include <nlohmann/json.hpp>
|
|
|
|
struct BehavioralDivergencePacket {
|
|
std::string caseId;
|
|
std::string sourceOutput;
|
|
std::string targetOutput;
|
|
std::string classification = "equivalent";
|
|
std::string minimizedInput;
|
|
};
|
|
|
|
class BehavioralDivergencePacketModel {
|
|
public:
|
|
static BehavioralDivergencePacket classify(const std::string& caseId,
|
|
const std::string& sourceOutput,
|
|
const std::string& targetOutput,
|
|
const std::string& input) {
|
|
BehavioralDivergencePacket p;
|
|
p.caseId = caseId;
|
|
p.sourceOutput = sourceOutput;
|
|
p.targetOutput = targetOutput;
|
|
p.classification = sourceOutput == targetOutput ? "equivalent" : "unacceptable_divergence";
|
|
p.minimizedInput = input.size() <= 16 ? input : input.substr(0, 16);
|
|
return p;
|
|
}
|
|
|
|
static nlohmann::json toJson(const BehavioralDivergencePacket& p) {
|
|
return {
|
|
{"case_id", p.caseId},
|
|
{"source_output", p.sourceOutput},
|
|
{"target_output", p.targetOutput},
|
|
{"classification", p.classification},
|
|
{"minimized_input", p.minimizedInput}
|
|
};
|
|
}
|
|
};
|