pyproject.toml

[tool.poetry]

name = "rnnsim"
version = "0.1"
description = "Random Neural Network Simulator implemented in Python."

license = "MIT"

authors = ["Mandar Gogate <contact@mandargogate.com>"]

readme = "README.md"

homepage = "https://pypi.org/project/rnnsim"
documentation = "https://rnnsim.readthedocs.io"
repository = "https://github.com/MandarGogate/RNNSim"

keywords = [
]
classifiers = [
    # TODO: update this list to match your application: https://pypi.org/pypi?%3Aaction=list_classifiers
    "Development Status :: 1 - Planning",
    "Natural Language :: English",
    "Operating System :: OS Independent",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.6",
]

[tool.poetry.dependencies]

python = "^3.6"
numpy = "^1.16.1"

[tool.poetry.dev-dependencies]

# Formatters
black = "=19.3b0"
isort = "=4.3.4"

# Linters
mypy = "*"
pydocstyle = "*"
pylint = "^2.0"

# Testing
pytest = "^5.0"
pytest-cov = "*"
pytest-describe = "*"
pytest-expecter = "*"
pytest-random = "*"
freezegun = "*"

# Reports
coveragespace = "*"

# Documentation
mkdocs = "^1.0"
pygments = "*"

# Tooling
pyinstaller = "*"
sniffer = "*"
MacFSEvents = { version = "*", platform = "darwin" }
pync = { version = "*", platform = "darwin" }

[tool.poetry.scripts]

rnnsim = "rnnsim.cli:main"

[tool.black]

target-version = ["py36"]
skip-string-normalization = true

[build-system]

requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"