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Updated pyproject to new project instead of poetry based information
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‎pyproject.toml

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requires = ["poetry-core>=1.7.0", "setuptools>=67.7.2"]
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build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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[project]
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name = "kernel_tuner"
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packages = [{ include = "kernel_tuner", from = "." }]
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description = "An easy to use CUDA/OpenCL kernel tuner in Python"
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version = "1.1.0" # adhere to PEP440 versioning: https://packaging.python.org/en/latest/guides/distributing-packages-using-setuptools/#id55
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readme = "README.md"
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license = "Apache-2.0"
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authors = [
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"Ben van Werkhoven <[email protected]>",
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"Alessio Sclocco <[email protected]>",
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"Stijn Heldens <[email protected]>",
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"Floris-Jan Willemsen <[email protected]>",
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"Willem-Jan Palenstijn <[email protected]>",
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"Bram Veenboer <[email protected]>",
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"Richard Schoonhoven <[email protected]>",
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"Leon Oostrum <[email protected]",
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{ name = "Ben van Werkhoven", email = "[email protected]"},
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{ name = "Alessio Sclocco", email = "[email protected]" },
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{ name = "Stijn Heldens", email = "[email protected]" },
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{ name = "Floris-Jan Willemsen", email = "[email protected]" },
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{ name = "Willem-Jan Palenstijn", email = "[email protected]" },
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{ name = "Bram Veenboer", email = "[email protected]" },
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{ name = "Richard Schoonhoven", email = "[email protected]" },
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{ name = "Leon Oostrum", email = "[email protected]" },
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]
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readme = "README.md"
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keywords = [
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"auto-tuning",
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"gpu",
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"Topic :: Scientific/Engineering",
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"Topic :: Software Development",
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"Topic :: System :: Distributed Computing",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13"
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]
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include = [
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{ path = "test" },
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] # this ensures that people won't have to clone the whole repo to include notebooks, they can just do `pip install kernel_tuner[tutorial,cuda]`
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# ATTENTION: if anything is changed here, run `poetry update`
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requires-python = ">=3.10,<4" # <4 is because of hip-python # NOTE when changing the Python versions, also change the test versions in the Noxfile and GitHub Actions
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dependencies = [
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"numpy (>=1.26.0,<2.0.0)", # Python 3.12 requires numpy at least 1.26, CuPy does not support 2.0
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"scipy>=1.14.1",
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"packaging", # required by file_utils
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"jsonschema",
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"python-constraint2>=2.2.2",
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"xmltodict",
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"pandas>=2.0.0",
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"scikit-learn>=1.0.2",
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]
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# NOTE Torch can be used with Kernel Tuner, but is not a dependency, should be up to the user to use it
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[project.urls]
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homepage = "https://KernelTuner.github.io/kernel_tuner/"
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documentation = "https://KernelTuner.github.io/kernel_tuner/"
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repository = "https://github.com/KernelTuner/kernel_tuner"
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[tool.poetry.urls]
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"Tracker" = "https://github.com/KernelTuner/kernel_tuner/issues"
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[tool.poetry.build]
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generate-setup-file = false
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[tool.poetry.scripts]
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kernel_tuner = "kernel_tuner.interface:entry_point"
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changelog = "https://github.com/KernelTuner/kernel_tuner/blob/master/CHANGELOG.md"
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issues = "https://github.com/KernelTuner/kernel_tuner/issues"
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[[tool.poetry.source]]
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name = "testpypi"
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url = "https://test.pypi.org/simple/"
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priority = "explicit"
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[project.scripts]
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kernel_tuner = "kernel_tuner.interface:entry_point"
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# ATTENTION: if anything is changed here, run `poetry update`
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[tool.poetry.dependencies]
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python = ">=3.10,<4" # <4 is because of hip-python # NOTE when changing the Python versions, also change the test versions in the Noxfile and GitHub Actions
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numpy = "^1.26.0" # Python >3.12 requires numpy >= 1.26
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scipy = ">=1.14.1"
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packaging = "*" # required by file_utils
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jsonschema = "*"
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python-constraint2 = "^2.2.0"
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xmltodict = "*"
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pandas = ">=2.0.0"
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scikit-learn = ">=1.0.2"
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# Torch can be used with Kernel Tuner, but is not a dependency, should be up to the user to use it
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[tool.poetry]
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packages = [{ include = "kernel_tuner", from = "." }]
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include = [
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{ path = "test" },
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] # this ensures that people won't have to clone the whole repo to include notebooks, they can just do `pip install kernel_tuner[tutorial,cuda]`
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# List of optional dependencies for user installation, e.g. `pip install kernel_tuner[cuda]`, used in the below `extras`.
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# Please note that this is different from the dependency groups below, e.g. `docs` and `test`, those are for development.
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# ATTENTION: if anything is changed here, run `poetry update`
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# CUDA
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pycuda = { version = "^2025.1", optional = true } # Attention: if pycuda is changed here, also change `session.install("pycuda")` in the Noxfile
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nvidia-ml-py = { version = "^12.535.108", optional = true }
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pynvml = { version = "^11.4.1", optional = true }
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# cupy-cuda11x = { version = "*", optional = true } # Note: these are completely optional dependencies as described in CONTRIBUTING.rst
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# cupy-cuda11x = { version = "*", optional = true } # NOTE: these are completely optional dependencies as described in CONTRIBUTING.rst
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# cupy-cuda12x = { version = "*", optional = true }
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# cuda-python = { version = "*", optional = true }
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# OpenCL
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pyopencl = { version = "*", optional = true } # Attention: if pyopencl is changed here, also change `session.install("pyopencl")` in the Noxfile
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# HIP
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hip-python = { version = "^6.3.3.540.31", source = "testpypi", optional = true } # Note: when released, switch this package to pypi and remove tool.poetry.source
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# Tutorial (for the notebooks used in the examples)
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jupyter = { version = "^1.0.0", optional = true }
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matplotlib = { version = "^3.5.0", optional = true }
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[tool.poetry.extras]
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cuda = ["pycuda", "nvidia-ml-py", "pynvml"]
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opencl = ["pyopencl"]
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cuda_opencl = ["pycuda", "pyopencl"]
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[[tool.poetry.source]]
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name = "testpypi"
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url = "https://test.pypi.org/simple/"
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priority = "explicit"
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[tool.poetry.dependencies]
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hip-python = { version = "^6.3.3.540.31", source = "testpypi", optional = true } # Note: when released, switch this package to pypi and remove tool.poetry.source and move this to [project.optional-dependencies]
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[project.optional-dependencies]
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cuda = ["pycuda>=2025.1", "nvidia-ml-py>=12.535.108", "pynvml>=11.4.1"] # Attention: if pycuda is changed here, also change `session.install("pycuda")` in the Noxfile
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opencl = ["pyopencl"] # Attention: if pyopencl is changed here, also change `session.install("pyopencl")` in the Noxfile
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cuda_opencl = ["pycuda>=2024.1", "pyopencl"] # Attention: if pycuda is changed here, also change `session.install("pycuda")` in the Noxfile
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hip = ["hip-python"]
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tutorial = ["jupyter", "matplotlib", "nvidia-ml-py"]
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tutorial = ["jupyter>=1.0.0", "matplotlib>=3.5.0", "nvidia-ml-py>=12.535.108"]
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# ATTENTION: if anything is changed here, run `poetry update` and `poetry export --with docs --without-hashes --format=requirements.txt --output doc/requirements.txt`
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# Please note that there is overlap with the `dev` group

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