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pyproject.toml
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pyproject.toml
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[build-system]
requires = [
"setuptools >= 35.0.2",
"wheel >= 0.29.0",
"setuptools_scm[toml]==7.0.5",
]
build-backend = "setuptools.build_meta"
[project]
name = "phantom_tensors"
dynamic = ["version"]
description = "Tensor-like types – with variadic shapes – that support both static and runtime type checking, and convenient parsing."
readme = "README.md"
requires-python = ">=3.8"
dependencies = ["typing-extensions >= 4.1.0"]
license = { text = "MIT" }
keywords = [
"machine learning",
"research",
"configuration",
"scalable",
"reproducible",
"yaml",
"Hydra",
"dataclass",
]
authors = [
{ name = "Ryan Soklaski", email = "rsoklaski@gmail.com" },
{ name = "Justin Goodwin", email = "jgoodwin@ll.mit.edu" },
]
maintainers = [{ name = "Justin Goodwin", email = "jgoodwin@ll.mit.edu" }]
classifiers = [
"Development Status :: 4 - Beta",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering",
"Programming Language :: Python :: 3 :: Only",
]
[project.optional-dependencies]
test = ["beartype >= 0.10.4", "pytest >= 3.8", "hypothesis >= 6.28.0"]
[project.urls]
"Homepage" = "https://github.com/rsokl/phantom-tensors/"
"Bug Reports" = "https://github.com/rsokl/phantom-tensors/issues"
"Source" = "https://github.com/rsokl/phantom-tensors"
[tool.setuptools_scm]
write_to = "src/phantom_tensors/_version.py"
version_scheme = "no-guess-dev"
[tool.setuptools]
package-dir = { "" = "src" }
[tool.setuptools.packages.find]
where = ["src"]
exclude = ["tests*", "tests.*"]
[tool.setuptools.package-data]
phantom_tensors = ["py.typed"]
[tool.isort]
known_first_party = ["phantom_tensors", "tests"]
profile = "black"
combine_as_imports = true
[tool.coverage.run]
branch = true
omit = ["tests/test_docs_typecheck.py"]
[tool.coverage.report]
omit = ["src/phantom_tensors/_version.py"]
exclude_lines = [
'pragma: no cover',
'def __repr__',
'raise NotImplementedError',
'class .*\bProtocol(\[.+\])?\):',
'@(abc\.)?abstractmethod',
'@(typing\.)?overload',
'except ImportError:',
'except ModuleNotFoundError:',
'if (typing\.)?TYPE_CHECKING:',
'if sys\.version_info',
]
[tool.pytest.ini_options]
xfail_strict = true
[tool.pyright]
include = ["src"]
exclude = [
"**/node_modules",
"**/__pycache__",
"src/phantom_tensors/_version.py",
"**/third_party",
]
reportUnnecessaryTypeIgnoreComment = true
reportUnnecessaryIsInstance = false
[tool.codespell]
skip = 'docs/build/*'
[tool.tox]
legacy_tox_ini = """
[tox]
isolated_build = True
envlist = py38, py39, py310, py311, py312
[gh-actions]
python =
3.8: py38
3.9: py39
3.10: py310
3.11: py311
3.12: py312
[testenv]
description = Runs test suite parallelized in the specified python enviornment and
against number of available processes (up to 4).
Run `tox -e py39 -- -n 0` to run tests in a python 3.9 with
parallelization disabled.
passenv = *
extras = test
deps = pytest-xdist
commands = pytest tests/ {posargs: -n auto --maxprocesses=4}
[testenv:coverage]
description = Runs test suite and measures test-coverage. Fails if coverage is
below 100 prcnt. Run `tox -e coverage -- -n 0` to disable parallelization.
setenv = NUMBA_DISABLE_JIT=1
usedevelop = true
basepython = python3.10
deps = {[testenv]deps}
coverage[toml]
pytest-cov
beartype
torch
numpy
phantom-types
commands = pytest --cov-report term-missing --cov-config=pyproject.toml --cov-fail-under=100 --cov=phantom_tensors tests {posargs: -n auto --maxprocesses=4}
[testenv:third-party]
description = Runs test suite against optional 3rd party packages that phantom-tensors
provides specialized support for.
install_command = pip install --upgrade --upgrade-strategy eager {opts} {packages}
basepython = python3.11
deps = {[testenv]deps}
beartype
torch
numpy
phantom-types
[testenv:pyright]
description = Ensure that phantom-tensors's source code and test suite scan clean
under pyright, and that phantom-tensors's public API has a 100 prcnt
type-completeness score.
usedevelop = true
basepython = python3.11
deps =
--requirement deps/requirements-pyright.txt
beartype
torch
numpy
phantom-types
commands = pyright tests/ src/ --pythonversion=3.8 -p pyrightconfig_py38.json
pyright tests/ src/ --pythonversion=3.9
pyright tests/ src/ --pythonversion=3.10
pyright tests/ src/ --pythonversion=3.11
pyright tests/ src/ --pythonversion=3.12
pyright --ignoreexternal --verifytypes phantom_tensors
[testenv:format]
description = Applies auto-flake (e.g. remove unsused imports), black, and isort
in-place on source files and test suite. Running this can help fix a
failing `enforce-format` run.
skip_install=true
deps =
autoflake
black
isort
commands =
autoflake --recursive --in-place --remove-duplicate-keys --remove-unused-variables src/ tests/
isort src/ tests/
black src/ tests/
[testenv:enforce-format]
description = Ensures that source materials code and docs and test suite adhere to
formatting and code-quality standards.
skip_install=true
basepython=python3.11
deps=black
isort
flake8
pytest
codespell
commands=
black src/ tests/ --diff --check
isort src/ tests/ --diff --check
flake8 src/ tests/
codespell src/ docs/
"""