1+ [build-system ]
2+ build-backend = " hatchling.build"
3+ requires = [" hatchling" ]
4+
15[project ]
2- name = " jaxtyping"
3- version = " 0.3.3"
4- description = " Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays."
5- readme = " README.md"
6- requires-python =" >=3.10"
7- license = {file = " LICENSE" }
86authors = [
9- {name = " Patrick Kidger " , email = " contact@kidger.site " },
7+ {email = " contact@kidger.site " , name = " Patrick Kidger " }
108]
11- keywords = [" jax" , " neural-networks" , " deep-learning" , " equinox" , " typing" ]
129classifiers = [
13- " Development Status :: 3 - Alpha" ,
14- " Intended Audience :: Developers" ,
15- " Intended Audience :: Financial and Insurance Industry" ,
16- " Intended Audience :: Information Technology" ,
17- " Intended Audience :: Science/Research" ,
18- " License :: OSI Approved :: MIT License" ,
19- " Natural Language :: English" ,
20- " Programming Language :: Python :: 3" ,
21- " Topic :: Scientific/Engineering :: Artificial Intelligence" ,
22- " Topic :: Scientific/Engineering :: Information Analysis" ,
23- " Topic :: Scientific/Engineering :: Mathematics" ,
10+ " Development Status :: 3 - Alpha" ,
11+ " Intended Audience :: Developers" ,
12+ " Intended Audience :: Financial and Insurance Industry" ,
13+ " Intended Audience :: Information Technology" ,
14+ " Intended Audience :: Science/Research" ,
15+ " License :: OSI Approved :: MIT License" ,
16+ " Natural Language :: English" ,
17+ " Programming Language :: Python :: 3" ,
18+ " Topic :: Scientific/Engineering :: Artificial Intelligence" ,
19+ " Topic :: Scientific/Engineering :: Information Analysis" ,
20+ " Topic :: Scientific/Engineering :: Mathematics"
2421]
25- urls = {repository = " https://github.com/google/jaxtyping" }
2622dependencies = [" wadler_lindig>=0.1.3" ]
23+ description = " Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays."
2724entry-points = {pytest11 = {jaxtyping = " jaxtyping._pytest_plugin" }}
25+ keywords = [" jax" , " neural-networks" , " deep-learning" , " equinox" , " typing" ]
26+ license = {file = " LICENSE" }
27+ name = " jaxtyping"
28+ readme = " README.md"
29+ requires-python = " >=3.10"
30+ urls = {repository = " https://github.com/google/jaxtyping" }
31+ version = " 0.3.3"
2832
2933[project .optional-dependencies ]
3034dev = [
31- " pre-commit>=4.3.0" ,
35+ " pre-commit>=4.3.0"
3236]
3337docs = [
3438 " hippogriffe==0.2.1" ,
@@ -39,39 +43,39 @@ docs = [
3943 " mkdocs-material==9.6.7" ,
4044 " mkdocstrings==0.28.3" ,
4145 " mkdocstrings-python==1.16.8" ,
42- " pymdown-extensions==10.14.3" ,
46+ " pymdown-extensions==10.14.3"
4347]
4448tests = [
45- " beartype>=0.21.0" ,
46- " cloudpickle>=3.1.1" ,
47- " equinox>=0.13.1" ,
48- " ipython>=8.37.0" ,
49- " jax>=0.5.3" ,
50- " mlx[cpu]>=0.29.1" ,
51- " numpy<2" ,
52- " pytest>=8.4.2" ,
53- " pytest-asyncio>=1.2.0" ,
54- " tensorflow>=2.18.1" ,
55- " typeguard==2.13.3" ,
49+ " beartype>=0.21.0" ,
50+ " cloudpickle>=3.1.1" ,
51+ " equinox>=0.13.1" ,
52+ " ipython>=8.37.0" ,
53+ " jax>=0.5.3" ,
54+ " mlx[cpu]>=0.29.1" ,
55+ " numpy<2" ,
56+ " pytest>=8.4.2" ,
57+ " pytest-asyncio>=1.2.0" ,
58+ " tensorflow>=2.18.1" ,
59+ " typeguard==2.13.3"
5660]
5761
58-
59- [build-system ]
60- requires = [" hatchling" ]
61- build-backend = " hatchling.build"
62-
6362[tool .hatch .build ]
6463include = [" jaxtyping/*" ]
6564
6665[tool .ruff .lint ]
67- select = [" E" , " F" , " I001" ]
6866ignore = [" E721" , " E731" , " F722" ]
67+ select = [" E" , " F" , " I001" ]
6968
70- [tool .ruff .lint .per-file-ignores ]
71- "jaxtyping/_typeguard/__init__.py" = [" E" , " F" , " I001" ]
69+ [tool .ruff .lint .flake8-import-conventions .extend-aliases ]
70+ "collections" = " co"
71+ "functools" = " ft"
72+ "itertools" = " it"
7273
7374[tool .ruff .lint .isort ]
7475combine-as-imports = true
75- lines-after-imports = 2
7676extra-standard-library = [" typing_extensions" ]
77+ lines-after-imports = 2
7778order-by-type = false
79+
80+ [tool .ruff .lint .per-file-ignores ]
81+ "jaxtyping/_typeguard/__init__.py" = [" E" , " F" , " I001" ]
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