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98 lines (82 loc) · 1.99 KB
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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "vqe-portfolio"
version = "0.2.6"
description = "VQE-based portfolio optimization with PennyLane"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "Sid Richards" }]
dependencies = [
"numpy>=1.26,<3.0",
"matplotlib>=3.8,<4.0",
"pennylane>=0.35,<1.0",
]
keywords = ["quantum", "vqe", "portfolio-optimization", "pennylane", "finance"]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
]
[project.urls]
Repository = "https://github.com/SidRichardsQuantum/VQE_Portfolio_Optimization"
Issues = "https://github.com/SidRichardsQuantum/VQE_Portfolio_Optimization/issues"
[project.optional-dependencies]
dev = [
"pytest>=8,<9",
"nbmake>=1.5,<2.0",
"ruff>=0.6,<1.0",
"black>=24.0,<26.0",
"build>=1.2,<2.0",
"twine>=6,<7",
"tomli>=2.0,<3.0; python_version < '3.11'",
]
markowitz = [
"cvxpy>=1.4,<2.0",
"osqp>=0.6,<1.0",
]
notebooks = [
"jupyter>=1.0",
"jupytext>=1.16,<2.0",
]
docs = [
"sphinx>=8,<9",
"furo>=2024.8.6",
"myst-parser>=4,<5",
]
data = [
"pandas>=2.0,<3.0",
"yfinance>=0.2.40,<0.3.0",
"scikit-learn>=1.4,<2.0",
]
all = [
"cvxpy>=1.4,<2.0",
"osqp>=0.6,<1.0",
"sphinx>=8,<9",
"furo>=2024.8.6",
"myst-parser>=4,<5",
"jupyter>=1.0",
"jupytext>=1.16,<2.0",
"pandas>=2.0,<3.0",
"yfinance>=0.2.40,<0.3.0",
"scikit-learn>=1.4,<2.0",
]
[tool.setuptools]
package-dir = { "" = "src" }
[tool.setuptools.packages.find]
where = ["src"]
[tool.ruff.lint.per-file-ignores]
"src/vqe_portfolio/__init__.py" = ["E402"]
[tool.black]
target-version = ["py312"]
line-length = 88
[tool.pytest.ini_options]
pythonpath = ["src"]
[project.scripts]
vqe-portfolio = "vqe_portfolio.cli:main"