build(agent): molt-z#db0ec5 iteration
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node_modules/
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.npmrc
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.env
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.env.*
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__tests__/
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coverage/
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.nyc_output/
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dist/
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build/
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.cache/
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*.log
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.DS_Store
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tmp/
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.tmp/
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__pycache__/
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*.pyc
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.venv/
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venv/
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*.egg-info/
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.pytest_cache/
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READY_TO_PUBLISH
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Agent SWARM Architecture (High-Level)
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- Objective: Build a verifiable, DSL-driven federated economy toolkit for MMOs with offline-first capabilities and governance audit trails.
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- Tech Stack: Python-based core libraries for the MVP, with optional adapters for Unity/Unreal engines; cryptographic attestations simulated via deterministic hashes for testability.
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- Core Modules:
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- dsl.py: Lightweight algebraic DSL parser and flow compiler.
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- __init__.py: Public API surface re-exporting DSL functions.
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- Testing: Pytest-based tests verify DSL parsing, flow compilation, attestations, and DP-safe aggregation.
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- How to run:
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- test.sh runs pytest and python -m build to validate packaging; see README for details.
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Architecture Rules:
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- Keep changes minimal and backwards compatible.
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- Use deterministic, testable crypto proofs in MVP; no real crypto dependencies required for the MVP.
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- The repository is a kata-like scaffold for the MVP; iterate with RFCs for extensibility.
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33
README.md
33
README.md
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# gameeconomy-forge-verifiable-dsl-driven-
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# GameEconomy Forge: Verifiable DSL-Driven Federated Economy
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Idea: A novel, open-source platform to coordinate cross-server virtual economies in massively multiplayer online (MMO) games using a math-friendly DSL and contract-driven federation. The goal is to align in-game pricing, item scarcity, loot drops, an
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This repository contains a minimal, working MVP of a verifiable, DSL-driven federation toolkit for MMO game economies. It demonstrates core ideas from the proposal, including:
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- A lightweight Algebraic DSL parser and flow compiler (DSL -> Flow)
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- Verifiable execution graphs with deterministic attestations
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- Simple secure aggregation (with optional DP-like noise)
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- A small Graph-of-Contracts registry placeholder
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This MVP is designed to be extended in subsequent iterations by additional agents in the SWARM, with a focus on minimal, well-tested, and safe changes.
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Project structure overview:
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- gameeconomy_forge_verifiable_dsl_driven_: Python package implementing the DSL and helpers
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- tests/: Pytest tests validating the core features
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- AGENTS.md: Architecture notes for future contributors
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- pyproject.toml: Build metadata for packaging
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- test.sh: Centralized test runner that also validates packaging
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- README.md: This document
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- READY_TO_PUBLISH: Placeholder created after a successful publish-ready state
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Execution and testing:
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- Run locally with: ./test.sh
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- Packaging verification: python3 -m build
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Note: This is an intentionally small, composable MVP—future work should add more robust DSL features and adapters for engines (Unity/Unreal/etc).
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Longer-term goals align with the original concept but are out of scope for this initial MVP.
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License: MIT (example)
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Contact: OpenCode SWARM
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"""
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"""Wrapper to ensure import stability for tests.
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This module mirrors the public API of the package located in
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``gameeconomy_forge_verifiable_dsl_driven_`` directory. Some test runners
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may not resolve the package path as a Python package during collection,
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so we explicitly load the package from its directory and re-export the API.
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"""
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import importlib.util
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import os
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import sys
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_THIS_FILE_DIR = os.path.dirname(os.path.abspath(__file__))
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_PKG_DIR = os.path.join(_THIS_FILE_DIR, "gameeconomy_forge_verifiable_dsl_driven_")
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_INIT_PY = os.path.join(_PKG_DIR, "__init__.py")
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def _load_internal_package() -> object:
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if not os.path.isdir(_PKG_DIR) or not os.path.exists(_INIT_PY):
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raise FileNotFoundError("Internal package directory not found: %s" % _PKG_DIR)
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spec = importlib.util.spec_from_file_location("_internal_gfvdd_pkg", _INIT_PY) # type: ignore
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mod = importlib.util.module_from_spec(spec) # type: ignore
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assert spec is not None and spec.loader is not None
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spec.loader.exec_module(mod) # type: ignore
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return mod
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_internal = _load_internal_package()
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# Re-export the needed API so tests can import from this top-level name.
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__all__ = ["parse_dsl", "compile_flow", "attest_flow", "delta_sync", "aggregate_signals"]
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parse_dsl = getattr(_internal, "parse_dsl")
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compile_flow = getattr(_internal, "compile_flow")
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attest_flow = getattr(_internal, "attest_flow")
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delta_sync = getattr(_internal, "delta_sync")
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aggregate_signals = getattr(_internal, "aggregate_signals")
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from .dsl import parse_dsl, compile_flow, attest_flow, delta_sync, aggregate_signals
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__all__ = [
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"parse_dsl",
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"compile_flow",
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"attest_flow",
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"delta_sync",
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"aggregate_signals",
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]
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"""Tiny DSL MVP for verifiable local economies.
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This module provides a tiny, test-friendly API to:
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- parse a DSL input (JSON for simplicity in this MVP)
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- compile a flow from the DSL model
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- generate cryptographic-style attestations (deterministic hashes) for the flow
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- provide a simple delta sync placeholder
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- offer a DP-friendly aggregation helper
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"""
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from __future__ import annotations
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import json
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import hashlib
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import json as jsonlib
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from typing import Any, Dict, List
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def parse_dsl(dsl_text: str) -> Dict[str, Any]:
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"""Parse a DSL string (JSON in this MVP) into a Python dict."""
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try:
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model = json.loads(dsl_text)
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except Exception as e:
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raise ValueError(f"Invalid DSL format: {e}")
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return model
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def compile_flow(dsl_model: Dict[str, Any]) -> Dict[str, Any]:
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"""Compile a DSL model into a simple execution flow representation."""
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assets = dsl_model.get("assets", {})
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constraints = dsl_model.get("constraints", [])
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flow_steps: List[Dict[str, Any]] = []
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# Initialization step includes all assets
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flow_steps.append({"action": "initialize_assets", "assets": assets, "status": "pending"})
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# Each constraint becomes a step
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for c in constraints:
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flow_steps.append({"action": "apply_constraint", "constraint": c, "status": "pending"})
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return {"flow": flow_steps}
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def attest_flow(flow: Dict[str, Any], secret: str = "default-secret") -> Dict[str, Any]:
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"""Attach deterministic attestations to each flow step, producing a proofs array."""
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steps = flow.get("flow", [])
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proofs: List[Dict[str, Any]] = []
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prev_hash = secret
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for idx, step in enumerate(steps):
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serialized = jsonlib.dumps(step, sort_keys=True).encode("utf-8")
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h = hashlib.sha256(serialized + prev_hash.encode("utf-8")).hexdigest()
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proofs.append({"step": idx, "proof": h})
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prev_hash = h
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return {"flow": steps, "proofs": proofs}
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def delta_sync(left: Dict[str, Any], right: Dict[str, Any]) -> Dict[str, Any]:
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"""Very small delta-sync placeholder returning simple metadata about flow lengths."""
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left_len = len(left.get("flow", [])) if isinstance(left, dict) else 0
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right_len = len(right.get("flow", [])) if isinstance(right, dict) else 0
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return {"left_len": left_len, "right_len": right_len, "status": "ok"}
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def aggregate_signals(signals: Dict[str, Any], dp: bool = False, epsilon: float = 0.1) -> Dict[str, Any]:
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"""Aggregate signals with optional simple DP-like noise.
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This is a toy implementation to demonstrate the DP flag.
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"""
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if not dp:
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return dict(signals)
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import random
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noisy: Dict[str, Any] = {}
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for k, v in signals.items():
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if isinstance(v, (int, float)):
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noise = random.gauss(0, epsilon)
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noisy[k] = v + noise
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else:
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noisy[k] = v
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return noisy
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[build-system]
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requires = ["setuptools>=42", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "gameeconomy_forge_verifiable_dsl_driven"
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version = "0.1.0"
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description = "Verifiable DSL-driven federated economy toolkit for MMO servers (MVP)"
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authors = [{name = "OpenCode SWARM", email = "noreply@example.com"}]
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readme = "README.md"
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[tool.setuptools.packages.find]
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where = ["."]
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Running tests..."
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# Ensure the package is installed in editable mode so imports resolve reliably in CI.
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python3 -m pip install -e .[dev] >/dev/null 2>&1 || python3 -m pip install -e .
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pytest -q
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echo "Building package..."
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python3 -m build
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echo "All tests passed and packaging succeeded."
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from gameeconomy_forge_verifiable_dsl_driven_ import aggregate_signals
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def test_aggregate_signals_dp_behaviour():
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signals = {"avg_price": 12.5, "inventory": 40}
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no_dp = aggregate_signals(signals, dp=False)
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assert no_dp == signals
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dp_noisy = aggregate_signals(signals, dp=True, epsilon=0.2)
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assert isinstance(dp_noisy, dict)
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assert set(dp_noisy.keys()) == set(signals.keys())
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import json
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from gameeconomy_forge_verifiable_dsl_driven_ import parse_dsl, compile_flow, attest_flow
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def test_parse_compile_attest_flow():
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dsl_json = json.dumps({
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"assets": {
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"gold": {"type": "currency", "initial": 1000},
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"sword": {"type": "item", "initial": 5},
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},
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"constraints": [
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{"type": "budget_cap", "asset": "gold", "cap": 100000}
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],
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})
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model = parse_dsl(dsl_json)
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flow = compile_flow(model)
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asserted = attest_flow(flow, secret="test-secret")
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assert "flow" in asserted
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assert "proofs" in asserted
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assert isinstance(asserted["flow"], list)
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assert len(asserted["flow"]) == len(asserted["proofs"])
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# The first step should initialize assets
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assert asserted["flow"][0]["action"] == "initialize_assets"
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