mirror of
https://github.com/luxfhe/ml-sdk.git
synced 2026-10-30 18:13:04 +00:00
zeekay
b057b28176
After merging chore/purge-zama-brand and chore/purge-zama-brand-v2,
applied the v2 commit's substitution map to the ~18 files those
branches missed:
notebooks (docs/advanced_examples/*.ipynb, cifar_brevitas_finetuning/*.ipynb)
pyproject.toml, poetry.lock
.gitleaksignore, .github/workflows/publish_aws_ami.yaml
.github/ISSUE_TEMPLATE/release.md, private_dictionary.txt
Substitutions (consistent with v2 commit's mapping):
zama-ai/concrete-ml → luxfhe/ml-sdk
zama-ai/concrete → luxfhe/torus
zama-ai/tfhe-rs → luxfhe/tfhe
zama-ai → luxfhe
github.com/zama-ai → github.com/luxfhe
docs.zama.ai → docs.luxfhe.com
zama-pypi-cpu → luxfhe-pypi-cpu
Concrete ML → TorusML
concrete-ml → torus-ml
concrete_ml → torus_ml
Concrete framework → Torus framework
Concrete compiler → Torus compiler
Concrete by Zama → Torus by Lux Industries
tfhe-rs / TFHE-rs → Lux-FHE
fhEVM → TorusEVM
Zama → Lux Industries
Fhenix → (removed)
After this commit, the only "zama" string matches remaining in the
working tree (per grep -ril) are inside base64-encoded PNG image
data in notebooks — coincidental substring matches, NOT real
references. Verified 10 files × 1-2 matches each, all 0 outside b64.
Residual real work for phase 2 (NOT in this commit):
- 89 Python files contain `from concrete.fhe import …` etc.
These require luxfhe/torus to be a publishable Python module
before the import statements can be safely renamed. Tracked
in the v2 commit's roadmap.
- deps_licenses/*.txt retain Zama upstream license text per
BSD-3-Clause-Clear §1-§2.
- LICENSE retains original Zama copyright per the same clause.
201 lines
7.7 KiB
TOML
201 lines
7.7 KiB
TOML
[tool.poetry]
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name = "torus-ml"
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version = "1.9.0"
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description = "TorusML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists."
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license = "BSD-3-Clause-Clear"
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authors = [
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"Lux Industries <[email protected]>",
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]
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homepage = "https://lux.fhe/torus-ml/"
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repository = "https://github.com/luxfi/torusml"
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documentation = "http://docs.lux.network/torusml/"
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keywords = ["FHE", "homomorphic encryption", "privacy", "security"]
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packages = [
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{ include = "concrete", from = "src" },
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]
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classifiers = [
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Scientific/Engineering :: Mathematics",
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"Topic :: Scientific/Engineering",
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"Topic :: Security",
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"Topic :: Security :: Cryptography",
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"Topic :: Software Development :: Compilers",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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]
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readme = "README.md"
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[tool.poetry.urls]
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"README" = "https://github.com/luxfi/torusml/blob/main/README.md"
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"Bug Tracker" = "https://github.com/luxfi/torusml/issues"
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[tool.poetry.dependencies]
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# Investigate if it is better to fix specific versions or use lower and upper bounds
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# FIXME: https://github.com/luxfi/torusml-internal/issues/2665
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python = ">=3.8.1,<3.13"
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# Based on the following link, explicitly indicating the source makes poetry only look for that
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# source, so we should only use this for Concrete Python's non-public releases
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# https://python-poetry.org/docs/1.7/repositories#project-configuration
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# concrete-python = {version="==2.7.0", source = "luxfhe-pypi-cpu"}
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torus-ml-extensions = "0.1.9"
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concrete-python = {version="==2.10.0", source = "luxfhe-pypi-cpu"}
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setuptools = "75.3.0"
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skops = {version = "0.5.0"}
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xgboost = "1.6.2"
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skorch = "0.11.0"
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# torch version needs to be pinned for MacOS Intel since it isn't supported by Pytorch anymore
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torch = [
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{version = "2.2.2", markers = "platform_system=='Darwin' and platform_machine!='arm64'" },
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{version = "2.3.1", markers = "platform_system!='Darwin' or platform_machine=='arm64'" }
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]
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typing-extensions = "^4.5.0"
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brevitas = "0.10.2"
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onnx = "1.17.0"
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onnxoptimizer = "0.3.13"
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# onnxruntime versions supported by onnx versions and opsets can be found here :
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# https://onnxruntime.ai/docs/reference/compatibility.html#onnx-opset-support
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onnxruntime = "1.18"
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hummingbird-ml = {version="0.4.11", extras = ["onnx"]}
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scikit-learn = [
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{version = "1.1.3", python = "<3.9" },
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{version = "1.5.0", python = ">=3.9.0"}
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]
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scipy = [
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{version = "1.10.1", python = "3.8"},
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{version = ">=1.10.1", python = ">3.8"}
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]
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numpy = [
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{version = "1.23.5", python = "<3.9" },
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{version = "1.26.4", python = ">=3.9.0"}
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]
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protobuf = [
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{version = "^5.28.3", python = ">3.11"},
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{version = "3.20.3", python = "<=3.11"}
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]
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pandas = [
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{ version = "2.0.3", python = "<3.12" },
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{ version = ">=2.1.1", python = ">=3.12" }
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]
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# Lux Industries sources
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[[tool.poetry.source]]
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name = "luxfhe-pypi-cpu"
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url = "https://pypi.lux.fhe/cpu"
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priority = "explicit"
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# Development dependencies
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[tool.poetry.group.dev]
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optional = true
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[tool.poetry.group.dev.dependencies]
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isort = "^5.10.1"
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black = "^24.3.0"
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pylint = "^3.0.0"
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pytest = "7.4.1"
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pytest-cov = "^4.1.0"
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pytest-xdist = "^3.3.1"
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pytest-randomly = "^3.11.0"
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pytest-repeat = "^0.9.1"
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pytest-subtests = "^0.11.0"
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pytest-json-report = "^1.5.0"
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pytest_codeblocks = "^0.14.0"
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mypy = "^1.8.0"
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pydocstyle = "^6.1.1"
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python-semantic-release = "^7.27.0"
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semver = "^2.13.0"
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nbmake = "^1.3.0"
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pygments-style-tomorrow = "^1.0.0"
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mdformat = "^0.7.14"
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mdformat_myst = "^0.1.4"
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mdformat-toc = "^0.3.0"
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pip-audit = "^2.1.0"
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types-requests = "^2.32.0"
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requests="^2.32.1"
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jupyter = "^1.0.0"
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py-progress-tracker = "0.7.0"
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nbqa = "^1.3.1"
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darglint = "^1.8.1"
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linkcheckmd = "^1.4.0"
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keyring = "*"
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jinja2 = "^3.1.2"
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LinkChecker = "^10.1.0"
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kaggle = "^1.5.12"
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tf2onnx = "^1.10.1"
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transformers = "^4.38.0"
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pdoc3 = "^0.10.0"
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lazydocs = "^0.4.0"
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seaborn = "^0.12.0"
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mistletoe = "^0.9.0"
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ruff = "^0.0.191"
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myst_parser = "0.19.1"
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flake8-bugbear = "23.2.13"
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flake8 = "^7.1.0"
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pycodestyle = "^2.11.1"
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ipython = "^8.10.0"
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markdown-it-py = "2.2.0"
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# torchvision's version depends on torch but is not enforced by the requirements of the
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# package so we have to enforce it here by hand
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torchvision = [
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{version = "0.17.2", markers = "platform_system=='Darwin' and platform_machine!='arm64'" },
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{version = "0.18.1", markers = "platform_system!='Darwin' or platform_machine=='arm64'" }
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]
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peft = "^0.12.0"
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ipykernel = "^6.29.5"
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py-cpuinfo = ">=8.0.0,<9.0.0"
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.pytest.ini_options]
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filterwarnings = [
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"error",
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"ignore:`np\\.object` is a deprecated alias for the builtin `object`\\. To silence this warning, use `object` by itself\\. Doing this will not modify any behavior and is safe\\.:DeprecationWarning",
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"ignore:Using or importing the ABCs from 'collections' instead of from 'collections\\.abc' is deprecated.*:DeprecationWarning",
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"ignore: distutils Version classes are deprecated. Use packaging\\.version instead.*:DeprecationWarning",
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"ignore:The distutils package is deprecated and slated for removal in Python 3\\.12.*:DeprecationWarning",
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"ignore:Distutils was imported before Setuptools.*:UserWarning",
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"ignore:Setuptools is replacing distutils.*:UserWarning",
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"ignore:The distutils\\.sysconfig module is deprecated.*:DeprecationWarning",
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"ignore: forcing n_jobs = 1 on mac for segfault issue",
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"ignore: allowzero=0 by default.*:UserWarning",
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"ignore:Implicitly cleaning up:ResourceWarning",
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"ignore:non-integer arguments to randrange\\(\\) have been deprecated since Python 3\\.10 and will be removed in a subsequent version:DeprecationWarning",
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"ignore:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning",
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"ignore:The --rsyncdir command line argument and rsyncdirs config variable are deprecated.:DeprecationWarning",
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"ignore:Converting a tensor to a NumPy array might cause the trace to be incorrect.",
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"ignore:torch.from_numpy results are registered as constants in the trace.",
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"ignore:ONNX Preprocess - Removing mutation from node aten*:UserWarning",
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"ignore:Liblinear failed to converge,*:sklearn.exceptions.ConvergenceWarning",
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"ignore:lbfgs failed to converge,*:sklearn.exceptions.ConvergenceWarning",
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"ignore:Maximum number of iteration reached before convergence.*:sklearn.exceptions.ConvergenceWarning",
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"ignore:jax.xla_computation is deprecated. Please use the AOT APIs.",
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"ignore:Named tensors and all their associated APIs*",
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"ignore:You are using `torch.load`*",
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"ignore:open_text is deprecated.*:DeprecationWarning",
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"ignore:read_text is deprecated.*:DeprecationWarning",
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"ignore:open_binary is deprecated.*:DeprecationWarning",
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"ignore:pkg_resources is deprecated as an API.*:DeprecationWarning",
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"ignore:'multi_class' was deprecated in version 1.5 and will be removed in 1.7.*:FutureWarning",
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"ignore:Skipping device Apple Paravirtual device.*:UserWarning",
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"ignore:The exported ONNX model failed ONNX shape inference.*:UserWarning",
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]
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[tool.semantic_release]
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version_toml = "pyproject.toml:tool.poetry.version"
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version_variable = "src/concrete/ml/version.py:__version__"
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upload_to_pypi = "False"
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changelog_sections = "breaking, feature, fix, documentation, performance"
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[tool.ruff]
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line-length = 100
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[tool.ruff.per-file-ignores]
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# The tool looks to report 'imported but unused (F401)' while actually the function is used by
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# package which import the __init__.py
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"**/__init__.py" = ["F401"]
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# Add a setuptools_scm section to avoid warnings
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[tool.setuptools_scm]
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