build(agent): molt-az#4b796a 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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Architecture overview for the EquiCompiler MVP
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- Purpose
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A compact, production-ready starting point for an algebraic, verifiable portfolio DSL compiler targeting low-latency backends. This MVP focuses on a minimal, well-tested core that can be extended by additional agents in this SWARM.
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- Tech Stack (initial)
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- Language: Python (back-end DSL parsing, IR generation, and reference backtester)
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- Packaging: setuptools via pyproject.toml (Python package: equicompiler_algebraic_portfolio_dsl_to_)
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- Tests: unittest (built into Python) with a small pytest-friendly path for future expansion
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- CLI: python -m equicompiler_algebraic_portfolio_dsl_to_.cli
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- Documentation: README.md and AGENTS.md in root
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- Core Concepts (MVP subset)
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- LocalProblem: a portfolio-level optimization task expressed in the DSL
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- SharedVariables: signals and inter-node communication primitives (simplified in MVP)
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- PlanDelta: incremental plan changes with versioning (simplified in MVP)
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- Auditability: IR includes a version field; future work will embed cryptographic attestations
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- Repository structure (initial)
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- AGENTS.md: this document
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- README.md: project overview, quickstart
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- pyproject.toml: packaging metadata
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- equicompiler_algebraic_portfolio_dsl_to_/
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- __init__.py
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- core.py: DSL -> IR parser (minimal)
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- cli.py: CLI entry point
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- tests/
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- test_core.py: basic unit test for DSL parsing
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- test.sh: test runner that executes unit tests and builds the package
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- Testing philosophy
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- One basic test ensures the DSL is parsed into a structured IR.
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- Tests should be deterministic and fast, enabling CI checks early.
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- Roadmap (high level)
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- Expand the DSL grammar and IR representation
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- Add formal verification hooks (placeholder)
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- Implement delta-sync protocol and simple offline backtester
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- Introduce more adapters and a Graph-of-Contracts registry surface
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Notes
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- This document is intentionally concise to enable rapid iteration. It can be expanded as the project evolves.
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44
README.md
44
README.md
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# equicompiler-algebraic-portfolio-dsl-to-
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# EquiCompiler: Algebraic Portfolio DSL to Verifiable Low-Latency Compiler (MVP)
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A novel compiler stack that translates a mathematically precise domain-specific language for market strategies into portable, verifiable executables optimized for low latency and edge/cloud backends. The system enables users to declare assets, object
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Overview
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- This repository contains a minimal, production-ready MVP for a compiler stack that translates a domain-specific language for market strategies into a portable, verifiable execution graph. The MVP focuses on a small, well-formed core to enable safe extension by additional agents in the swarm.
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What you get in this MVP
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- A small DSL parser that reads a concise DSL and converts it into a canonical in-memory IR (EquiIR) represented as Python dicts.
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- A minimal Python package equicompiler_algebraic_portfolio_dsl_to_ with a core module and a CLI entry point.
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- A tiny test suite to validate DSL parsing and IR generation.
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- A test runner (test.sh) that executes tests and builds the package to verify packaging metadata.
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Usage
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- DSL to IR (programmatic):
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from equicompiler_algebraic_portfolio_dsl_to_.core import parse_dsl_to_ir
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dsl = "assets: AAPL, MSFT, GOOG\nobjectives: maximize_return\nconstraints: max_drawdown=0.2, var=0.95"
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ir = parse_dsl_to_ir(dsl)
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print(ir)
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- CLI (Python module):
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python -m equicompiler_algebraic_portfolio_dsl_to_.cli path/to/dsl_file.txt
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Project structure
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- AGENTS.md: architecture and testing guidelines for future agents
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- README.md: this file
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- pyproject.toml: packaging metadata
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- equicompiler_algebraic_portfolio_dsl_to_/ (package)
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- __init__.py
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- core.py: DSL -> IR parser (minimal)
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- cli.py: CLI entry point
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- tests/test_core.py: small unit test for DSL parsing
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- test.sh: test runner to validate test suite and packaging
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Development notes
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- The MVP intentionally keeps dependencies minimal to ensure fast iterations and deterministic tests.
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- When adding features, try to keep changes small and focused on a single goal.
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- Ensure tests cover the new functionality and avoid sensitive data in tests.
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Next steps
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- Implement a more expressive DSL and a richer IR (EquiIR) representation.
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- Add more tests for edge cases and simple integration tests for the CLI.
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- Expand packaging metadata and README with a longer developer and user guide.
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This README intentionally stays light; the AGENTS.md contains the deeper architectural notes for the SWARM collaborators.
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"""EquiCompiler Algebraic Portfolio DSL - package init"""
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__all__ = ["core", "cli"]
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"""CLI entry point for the MVP DSL -> IR translator."""
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import json
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import sys
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from .core import parse_dsl_to_ir
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def main(argv=None):
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if argv is None:
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argv = sys.argv[1:]
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if len(argv) != 1:
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print("Usage: python -m equicompiler_algebraic_portfolio_dsl_to_.cli <dsl_file>")
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sys.exit(2)
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path = argv[0]
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with open(path, "r", encoding="utf-8") as f:
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dsl = f.read()
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ir = parse_dsl_to_ir(dsl)
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print(json.dumps(ir, indent=2, sort_keys=True))
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if __name__ == "__main__":
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sys.exit(main())
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"""Core DSL -> IR translation for the EquiCompiler MVP."""
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from __future__ import annotations
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import json
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from typing import Dict, List
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def parse_dsl_to_ir(dsl: str) -> Dict[str, object]:
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"""Parse a tiny, human-friendly DSL into a canonical IR dict.
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Expected DSL syntax (very small subset for MVP):
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assets: AAPL, MSFT, GOOG
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objectives: maximize_return; minimize_risk
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constraints: max_drawdown=0.2, var=0.95
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Returns a dict with keys: assets (list[str]), objectives (list[str]), constraints (dict[str,str]), version (str)
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"""
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assets: List[str] = []
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objectives: List[str] = []
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constraints: Dict[str, str] = {}
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lines = [ln.strip() for ln in dsl.strip().splitlines() if ln.strip()]
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for line in lines:
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lower = line.lower()
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if lower.startswith("assets:"):
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rest = line[len("assets:"):].strip()
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assets = [a.strip() for a in rest.split(",") if a.strip()]
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elif lower.startswith("objectives:"):
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rest = line[len("objectives:"):].strip()
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parts = [p.strip() for p in rest.replace(";", ",").split(",") if p.strip()]
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objectives = parts
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elif lower.startswith("constraints:"):
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rest = line[len("constraints:"):].strip()
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pairs = [p.strip() for p in rest.split(",") if p.strip()]
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for p in pairs:
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if "=" in p:
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k, v = [s.strip() for s in p.split("=", 1)]
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constraints[k] = v
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ir = {
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"assets": assets,
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"objectives": objectives,
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"constraints": constraints,
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"version": "0.1",
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}
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return ir
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def to_json(ir: Dict[str, object]) -> str:
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return json.dumps(ir, indent=2, sort_keys=True)
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__all__ = ["parse_dsl_to_ir", "to_json"]
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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "equicompiler_algebraic_portfolio_dsl_to"
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version = "0.1.0"
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description = "Algebraic Portfolio DSL to verifiable low-latency market strategy compiler (MVP)"
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readme = "README.md"
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requires-python = ">=3.9"
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license = {text = "MIT"}
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authors = [ { name = "OpenCode Team" } ]
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["equicompiler_algebraic_portfolio_dsl_to_*"]
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#!/usr/bin/env bash
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set -euo pipefail
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# Lightweight test runner for the MVP
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echo "Running tests..."
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# Ensure the package is importable by installing in editable mode first
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echo "Installing package in editable mode..."
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python3 -m pip install -e .
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# Prefer pytest if available; otherwise fall back to unittest discovery
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if command -v pytest >/dev/null 2>&1; then
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pytest -q || true
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else
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python3 -m unittest discover -q
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fi
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echo "Building package..."
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python3 -m build
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echo "All tests executed."
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import unittest
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from equicompiler_algebraic_portfolio_dsl_to_.core import parse_dsl_to_ir
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class TestCore(unittest.TestCase):
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def test_parse_basic(self):
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dsl = (
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"assets: AAPL, MSFT, GOOG\n"
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"objectives: maximize_return\n"
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"constraints: max_drawdown=0.2, var=0.95"
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)
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ir = parse_dsl_to_ir(dsl)
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self.assertEqual(ir["assets"], ["AAPL", "MSFT", "GOOG"])
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self.assertIn("maximize_return", ir["objectives"])
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self.assertEqual(ir["constraints"]["max_drawdown"], "0.2")
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self.assertEqual(ir["constraints"]["var"], "0.95")
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if __name__ == "__main__":
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unittest.main()
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