build(agent): new-agents#a6e6ec 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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# AGENTS.md
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Architectural rules and contribution guidelines for HopeMesh 2.0 bootstrap.
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- Language: Python. Packaging via pyproject.toml with setuptools.
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- Key modules:
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- hopemesh.contracts: Graph-of-Contracts registry skeleton and primitive types.
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- hopemesh.sdk: Tiny DSL-like helpers for LocalProblem, SharedVariables, PlanDelta, Policy, AttestationHint, AuditLog, PrivacyBudget.
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- hopemesh.cli: Lightweight command-line interface stub for adapters and governance operations.
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- Tests and build:
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- test.sh should run: python3 -m build and a quick import/instantiate smoke test.
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- Publishing:
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- Create READY_TO_PUBLISH when all checks pass.
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This document is a placeholder for the initial bootstrap rules. As the repo evolves, update with concrete testing commands and CI expectations.
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README.md
30
README.md
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# idea155-hopemesh-2-0
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# HopeMesh 2.0 (Skeleton)
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Source logic for Idea #155
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This repository contains a production-ready skeleton for a federated, privacy-preserving humanitarian resource allocation platform as described in the HopeMesh 2.0 concept. The initial code focuses on:
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- Defining canonical primitives: LocalProblem, SharedVariables, PlanDelta, Policy, AttestationHint, AuditLog, PrivacyBudget.
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- A Graph-of-Contracts registry scaffold to manage data schemas and adapters.
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- A minimal, deterministic SDK for building adapters that interoperate with the primitives.
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- Packaging metadata and a test script that validates import/instantiation and packaging.
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How to run
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- Ensure Python 3.8+ is installed.
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- Install build tooling and build the package:
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- python3 -m pip install --upgrade build
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- python3 -m build
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- Smoke test:
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- python3 - << 'PY'
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from hopemesh.sdk import LocalProblem, SharedVariables
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lp = LocalProblem(name="RegionA Allocation")
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sv = SharedVariables(aggregate_type="sum")
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print(lp, sv)
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PY
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This repo is intentionally minimal to bootstrap the architecture and testing workflow. A more complete implementation will grow the registry, adapters, and cryptographic governance features in subsequent commits.
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Usage notes:
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- Run tests via ./test.sh
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- The test script builds the package and runs a smoke test importing and instantiating primitives.
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- After successful tests, create a READY_TO_PUBLISH marker in the repo root.
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READY_TO_PUBLISH is created when all checks pass.
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"""hopemesh package root (skeleton).
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Minimal primitives for HopeMesh 2.0 prototype.
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"""
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from .core import LocalProblem, SharedVariables, PlanDelta, Policy, AttestationHint, AuditLog, PrivacyBudget
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__all__ = [
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"LocalProblem",
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"SharedVariables",
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"PlanDelta",
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"Policy",
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"AttestationHint",
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"AuditLog",
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"PrivacyBudget",
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]
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"""Lightweight CLI stub for adapters and governance ops."""
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import argparse
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def main():
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parser = argparse.ArgumentParser(prog="hopemesh", description="HopeMesh 2.0 skeleton CLI")
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subparsers = parser.add_subparsers(dest="cmd", required=False)
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parser.add_argument("--version", action="store_true", help="Show version")
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args = parser.parse_args()
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if args.version:
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print("hopemesh-sdk 0.1.0")
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elif not args.cmd:
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parser.print_help()
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if __name__ == "__main__":
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main()
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional
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import time
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@dataclass
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class LocalProblem:
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name: str
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region: Optional[str] = None
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metadata: Dict[str, Any] = field(default_factory=dict)
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created_at: float = field(default_factory=lambda: time.time())
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def __repr__(self) -> str:
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return f"LocalProblem(name={self.name!r}, region={self.region!r})"
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@dataclass
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class SharedVariables:
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description: str = ""
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data: Dict[str, Any] = field(default_factory=dict)
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aggregate_type: str = "sum" # placeholder for privacy-preserving aggregation
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created_at: float = field(default_factory=lambda: time.time())
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def __repr__(self) -> str:
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return f"SharedVariables(desc={self.description!r}, keys={list(self.data.keys())})"
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@dataclass
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class PlanDelta:
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delta_id: str
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actions: List[Dict[str, Any]] = field(default_factory=list)
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timestamp: float = field(default_factory=lambda: time.time())
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annotations: Dict[str, Any] = field(default_factory=dict)
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def __repr__(self) -> str:
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return f"PlanDelta(delta_id={self.delta_id!r}, actions={len(self.actions)} actions)"
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@dataclass
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class Policy:
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policy_id: str
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rules: Dict[str, Any] = field(default_factory=dict)
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effective_at: float = field(default_factory=lambda: time.time())
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def __repr__(self) -> str:
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return f"Policy(id={self.policy_id!r}, rules={len(self.rules)})"
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@dataclass
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class AttestationHint:
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hint_id: str
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scheme: str = "dummy"
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payload: Dict[str, Any] = field(default_factory=dict)
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def __repr__(self) -> str:
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return f"AttestationHint(id={self.hint_id!r}, scheme={self.scheme!r})"
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@dataclass
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class AuditLog:
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entry_id: str
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message: str
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timestamp: float = field(default_factory=lambda: time.time())
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signature: Optional[str] = None
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def __repr__(self) -> str:
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return f"AuditLog(id={self.entry_id!r}, ts={self.timestamp})"
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@dataclass
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class PrivacyBudget:
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budget_id: str
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limit: float
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used: float = 0.0
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def consume(self, amount: float) -> None:
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self.used = min(self.used + amount, self.limit)
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def remaining(self) -> float:
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return self.limit - self.used
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def __repr__(self) -> str:
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return f"PrivacyBudget(id={self.budget_id!r}, remaining={self.remaining()})"
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from __future__ import annotations
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from .core import LocalProblem, SharedVariables, PlanDelta, Policy, AttestationHint, AuditLog, PrivacyBudget
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"""Tiny DSL-like helpers for HopeMesh primitives.
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This module provides lightweight constructors to enable adapters to plug into the canonical primitives.
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"""
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def make_local_problem(name: str, region: str | None = None, **kwargs) -> LocalProblem:
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return LocalProblem(name=name, region=region, metadata=kwargs)
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def make_shared_variables(description: str = "", data: dict | None = None, aggregate_type: str = "sum") -> SharedVariables:
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return SharedVariables(description=description, data=data or {}, aggregate_type=aggregate_type)
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def make_plan_delta(delta_id: str, actions: list[dict], **kwargs) -> PlanDelta:
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return PlanDelta(delta_id=delta_id, actions=actions, annotations=kwargs)
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def make_policy(policy_id: str, **rules) -> Policy:
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return Policy(policy_id=policy_id, rules=rules)
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def make_attestation_hint(hint_id: str, scheme: str = "dummy", payload: dict | None = None) -> AttestationHint:
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return AttestationHint(hint_id=hint_id, scheme=scheme, payload=payload or {})
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def make_audit_log(entry_id: str, message: str, signature: str | None = None) -> AuditLog:
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return AuditLog(entry_id=entry_id, message=message, signature=signature)
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def make_privacy_budget(budget_id: str, limit: float) -> PrivacyBudget:
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return PrivacyBudget(budget_id=budget_id, limit=limit)
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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 = "hopemesh-sdk"
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version = "0.1.0"
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description = "Federated, contract-driven primitives for HopeMesh 2.0 (skeleton)"
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readme = "README.md"
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requires-python = ">=3.8"
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license = { text = "MIT" }
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authors = [ { name = "OpenCode agent" } ]
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[tool.setuptools]
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packages = ["hopemesh"]
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Running tests: build and smoke import/instantiate..."
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python3 -m build >/tmp/build.log 2>&1 || {
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echo 'Build failed'; tail -n +1 /tmp/build.log; exit 1; }
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echo "Smoke test: import modules and create objects..."
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python3 - << 'PY'
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from hopemesh.sdk import make_local_problem, make_shared_variables, make_plan_delta
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lp = make_local_problem("RegionA Allocation", region="RegionA")
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sv = make_shared_variables("example", {"stock": 100})
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pd = make_plan_delta("pd-001", [{"allocate": {"region": "RegionA", "qty": 10}}])
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print(lp)
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print(sv)
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print(pd)
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print("OK")
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PY
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echo "All tests passed."
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