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pyproject.toml
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78 lines (70 loc) · 2.36 KB
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[project]
name = "svetlanna"
version = "2.0.1"
description = "SVETlANNa is an open-source Python library for simulation of free-space optical set-ups and neuromorphic systems such as Diffractive Neural Networks."
authors = [
{name="Alexey A. Shcherbakov", email="cplab@metalab.ifmo.ru"},
{name="Alexey Y. Kokhanovskiy", email="cplab@metalab.ifmo.ru"},
{name="Vladimir D. Igoshin", email="cplab@metalab.ifmo.ru"},
{name="Denis I. Sakhno", email="cplab@metalab.ifmo.ru"},
{name="Semen S. Chugunov", email="cplab@metalab.ifmo.ru"}
]
license = { file = "LICENSE" }
readme = "README.md"
keywords = ["optical neural network", "diffractive neural network", "pytorch", "optical beam", "optical setup", "diffractive element", "spatial light modulator"]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Education",
"Topic :: Software Development :: Libraries",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Physics",
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Programming Language :: Python :: 3.11",
]
requires-python = ">=3.11"
dependencies = [
"numpy<2.0",
"matplotlib>=3.9.2",
"anywidget (>=0.9.13,<0.10.0)",
"jinja2 (>=3.1.6,<4.0.0)",
]
[project.urls]
repository = "https://github.com/CompPhysLab/SVETlANNa"
documentation = "https://compphyslab.github.io/SVETlANNa/"
[project.optional-dependencies]
pandas = ["pandas (>=2.2.3,<3.0.0)"]
[tool.poetry.group.dev.dependencies]
pytest = "^8.3.2"
jupyter = "^1.1.1"
tqdm = "^4.66.5"
scipy = "^1.14.1"
sphinx = "^8.1.3"
sphinx-rtd-theme = "^3.0.1"
sphinx-autodoc-typehints = "^2.5.0"
pytest-cov = "^6.0.0"
lightpipes = "^2.1.5"
black = {extras = ["jupyter"], version = "^25.11.0"}
flake8 = "^7.3.0"
mypy = "^1.18.2"
pandas-stubs = "^2.3.2.250926"
sympy = "^1.14.0"
scipy-stubs = "^1.17.1.2"
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"if TYPE_CHECKING:",
"^ +\\.\\.\\.$"
]
[[tool.poetry.source]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
priority = "explicit"
[[tool.poetry.source]]
name = "pytorch-cuda"
url = "https://download.pytorch.org/whl/cu126"
priority = "explicit"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"