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pyproject.toml
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pyproject.toml
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[project]
name = "autora"
description = "Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process."
authors = [
{ name = "Sebastian Musslick", email = "[email protected]" }
]
maintainers = [
{ name = "Ben Andrew", email = "[email protected]" },
{ name = "George Dang", email = "[email protected]" },
{ name = "John Gerrard Holland", email = "[email protected]" },
{ name = "Younes Strittmatter", email = "[email protected]" },
]
readme = "README.md"
license = { file = "LICENSE" }
dynamic = ["version"]
dependencies = [
"autora-core",
"autora-synthetic",
]
[project.optional-dependencies]
dev = [
"autora-core[dev]",
]
all = [
"autora[all-theorists]",
"autora[all-experimentalists]",
"autora[all-experiment-runners]",
]
all-theorists = [
"autora[theorist-darts]",
"autora[theorist-bms]",
"autora[theorist-bsr]",
]
theorist-darts = [
"autora-theorist-darts",
]
theorist-bms = [
"autora-theorist-bms",
]
theorist-bsr = [
"autora-theorist-bsr",
]
all-experimentalists = [
"autora[experimentalist-inequality]",
"autora[experimentalist-novelty]",
"autora[experimentalist-nearest-value]",
"autora[experimentalist-model-disagreement]",
"autora[experimentalist-uncertainty]",
"autora[experimentalist-leverage]",
"autora[experimentalist-falsification]",
"autora[experimentalist-mixture]",
"autora[experimentalist-prediction-filter]",
"autora[experimentalist-bandit-random]"
]
experimentalist-inequality = [
"autora-experimentalist-inequality"
]
experimentalist-novelty = [
"autora-experimentalist-novelty"
]
experimentalist-nearest-value = [
"autora-experimentalist-nearest-value"
]
experimentalist-model-disagreement = [
"autora-experimentalist-model-disagreement"
]
experimentalist-uncertainty = [
"autora-experimentalist-uncertainty"
]
experimentalist-leverage = [
"autora-experimentalist-leverage"
]
experimentalist-falsification = [
"autora-experimentalist-falsification"
]
experimentalist-mixture = [
"mixture-experimentalist==1.0.0a7"
]
experimentalist-prediction-filter = [
"autora-experimentalist-prediction-filter"
]
experimentalist-bandit-random = [
"autora-experimentalist-bandit-random"
]
all-experiment-runners = [
"autora[experiment-runner-firebase-prolific]",
"autora[all-experiment-runners-synthetic]"
]
all-experiment-runners-synthetic = [
"autora[experiment-runner-synthetic-abstract-equation]"
]
experiment-runner-synthetic-abstract-equation = [
"autora-synthetic-abstract-equation"
]
experiment-runner-firebase-prolific = [
"autora-experiment-runner-firebase-prolific"
]
all-experiment-runner-experimentation-managers = [
"autora[experiment-runner-experimentation-manager-firebase]"
]
experiment-runner-experimentation-manager-firebase = [
"autora-experiment-runner-experimentation-manager-firebase"
]
all-experiment-runner-recruitment-managers = [
"autora[experiment-runner-recruitment-manager-prolific]"
]
experiment-runner-recruitment-manager-prolific = [
"autora-experiment-runner-recruitment-manager-prolific"
]
docs = [
"autora-core[docs]",
]
test = [
"pytest"
]
[project.urls]
homepage = "http://www.empiricalresearch.ai/"
repository = "https://github.com/AutoResearch/autora"
documentation = "https://autoresearch.github.io/autora/"
[build-system]
requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"
[tool.setuptools_scm]
[tool.setuptools]
packages = []