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pyproject.toml
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83 lines (74 loc) · 2.05 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "emergent-specialization"
version = "0.1.0"
description = "Emergent Specialization in Multi-Agent Trading - NeurIPS 2026"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.9"
authors = [
{name = "Howard Yuhao Li", email = "howard.li@example.com"}
]
keywords = [
"multi-agent-systems",
"reinforcement-learning",
"evolutionary-game-theory",
"trading",
"emergent-behavior"
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
# Minimal dependencies - NO external APIs
dependencies = [
"numpy>=1.21.0",
"pandas>=1.3.0",
"scipy>=1.7.0",
"matplotlib>=3.4.0",
"seaborn>=0.11.0",
"tqdm>=4.62.0",
"pyyaml>=5.4.0",
"scikit-learn>=1.0.0", # For some baselines
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"pytest-cov>=3.0.0",
"black>=22.0.0",
"isort>=5.10.0",
"mypy>=0.950",
]
finrl = [
"finrl>=0.3.0", # Optional: for FinRL baseline comparison
]
[project.urls]
Homepage = "https://github.com/HowardLiYH/MAS_For_Finance"
Documentation = "https://github.com/HowardLiYH/MAS_For_Finance/tree/main/emergent_specialization"
Repository = "https://github.com/HowardLiYH/MAS_For_Finance"
[tool.setuptools.packages.find]
where = ["."]
include = ["src*", "experiments*"]
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --cov=src --cov-report=term-missing"
[tool.black]
line-length = 100
target-version = ["py39", "py310", "py311"]
[tool.isort]
profile = "black"
line_length = 100
[tool.mypy]
python_version = "3.9"
warn_return_any = true
warn_unused_configs = true
ignore_missing_imports = true