Files
whetstone_DSL/editor/src/equiv/BehavioralDivergencePacket.h
Bill 1696b92bb8 Add Sprints 46-59: governance, porting foundation, and language graduation prep (Steps 689-828)
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>
2026-02-22 13:18:10 -07:00

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}
};
}
};