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pyproject.toml
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pyproject.toml
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[build-system]
build-backend = "hatchling.build"
requires = [
"hatchling>=1.10.0",
"hatch-vcs",
]
[project]
requires-python = ">=3.8"
name = "armory-testbed"
description = "Adversarial Robustness Test Bed"
readme = "README.md"
dynamic = [ "version" ]
license = "MIT"
authors = [
{ name = "Two Six Technologies", email = "armory@twosixtech.com" }, ]
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: MIT License",
"Environment :: Console",
"Natural Language :: English",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"setuptools_scm",
"docker",
"jsonschema",
"loguru",
"pytest",
"requests",
"Pillow",
"CairoSVG",
"svg.py",
"matplotlib",
]
[project.urls]
Source = "https://github.com/twosixlabs/armory"
Documentation = "https://github.com/twosixlabs/armory"
[project.scripts]
armory = "armory.__main__:main"
# please see docs/getting_started.md#the-armory-flavors for how these
# optional dependencies work
[project.optional-dependencies]
developer =[
"hatch", # build tool
"wheel", # build tool
"black[jupyter]==22.*",
"isort",
"flake8",
"bandit[toml]", # code scanning
"hydra-core", # configuration
]
engine = [
"adversarial-robustness-toolbox == 1.16.0",
"Pillow", # Data dependencies
"boto3", # Needed for armory.data.utils
"botocore" , # Needed for armory.data.utils
"ffmpeg-python", # Needed for armory.utils.export
"pydub", # this is in ART's extra-requires
"tidecv", # Needed for TIDE metrics
# Both `opencv-python` and `opencv-python-headless` must specify
# the same version.
"opencv-python == 4.5.5.62", # Needed for CARLA baseline scenario
"opencv-python-headless == 4.5.5.62", # Needed for CARLA baseline scenario
"tensorboardx",
]
pytorch = [
"armory-testbed[engine,datasets,math]",
"torch >=1.12.0,<=1.13.1", # Pytorch 2 will break parts of armory
"torchaudio",
"torchvision",
]
tensorflow = [
"armory-testbed[engine,datasets,math]",
"tf-models-official >= 2.13.1",
"tensorflow",
]
deepspeech = [
"armory-testbed[pytorch,engine,datasets,math]",
"python-levenshtein",
"torchmetrics < 0.8.0",
"sox",
"librosa",
"google-cloud-storage",
"transformers",
"pytorch-lightning < 1.5.0",
"hydra-core",
]
math = [
"numpy",
"pandas",
"scipy >= 1.4.1",
"scikit-learn>=0.22.2,<1.2.0", # ART requires scikit-learn >=0.22.2,<1.2.0
"matplotlib",
]
datasets = [
"armory-testbed[tensorflow]",
"tensorflow-datasets >= 4.6.0, != 4.9.0",
"protobuf",
]
datasets-builder = [
"armory-testbed[datasets,engine]",
"apache-beam >= 2.22.0",
]
jupyter = [
"jupyterlab",
"jupyterlab_widgets",
"ipywidgets",
]
yolo = [
"armory-testbed[engine]",
"armory-testbed[tensorflow]",
"numpy == 1.23.4",
"pytorchyolo",
]
all = [
"armory-testbed[developer]",
"armory-testbed[engine]",
"armory-testbed[math]",
"armory-testbed[jupyter]",
"armory-testbed[datasets]",
"armory-testbed[pytorch]",
"armory-testbed[tensorflow]",
]
[tool.hatch.build]
ignore-vcs = false
reproducible = true
directory = "dist"
include = [
"armory/",
"tests/",
"scenario_configs/",
"pyproject.toml",
]
exclude = [
"/tools",
]
[tool.hatch.build.hooks.vcs]
version-file = "armory/__about__.py"
template = """
# coding: utf-8
# File automatically generated by setuptools_scm.
# Do not change or track in version control.
__version__ = {version!r}
version_tuple = {version_tuple!r}
"""
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.version]
source = "vcs"
path = "armory/__about__.py"
[tool.hatch.version.raw-options]
version_scheme = "post-release"
# Tools
[tool.setuptools_scm]
# the presence of this empty block stops setuptools_scm from complaining
[tool.pytest.ini_options]
addopts = "-ra -q"
log_level = "ERROR"
testpaths = [ "tests" ]
log_cli = true
filterwarnings = [ ]
markers = [
"slow", # This test is slow
"online", # This test needs open internet access
"keras", # This test requires tf1.compat support for keras
"tf1", # This test requires tf1 support (tf2.compat.v1 adapter)
"docker_required", # This Test Requires Docker to run
"end_to_end", # Full End to End Test (typically slow)
"unit", # These are Unit Tests (fast and lightweight)
"pytorch_deepspeech", # This test requires pytorch-deepspeech docker container (or equivalent dependencies) to run
]
# TODO: Add these to the pytest options. From armory/validation/test_config
# addopts = -p no:cacheprovider
# filterwarnings =
# ignore::DeprecationWarning
# ignore::RuntimeWarning
# ignore::UserWarning:tensorflow*
# ignore::UserWarning:torch*
# ignore::Warning:art*
[tool.isort]
profile = "black"
force_sort_within_sections = true