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hash = "sha256:a9721a38020260e5ee9d6396295edbbfcaedd22c07cfd6f2cda2698defde9b63"}, +] + +[package.dependencies] +flatbuffers = ">=1.12,<3.0" +numpy = ">=1.14.1" +onnx = ">=1.4.1" +requests = "*" +six = "*" + [[package]] name = "tf2onnx" version = "1.16.1" @@ -7043,13 +7096,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, [[package]] name = "transformers" -version = "4.46.0" +version = "4.46.1" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.8.0" files = [ - {file = "transformers-4.46.0-py3-none-any.whl", hash = "sha256:e161268ae8bee315eb9e9b4c0b27f1bd6980f91e0fc292d75249193d339704c0"}, - {file = "transformers-4.46.0.tar.gz", hash = "sha256:3a9e2eb537094db11c3652334d281afa4766c0e5091c4dcdb454e9921bb0d2b7"}, + {file = "transformers-4.46.1-py3-none-any.whl", hash = "sha256:f77b251a648fd32e3d14b5e7e27c913b7c29154940f519e4c8c3aa6061df0f05"}, + {file = "transformers-4.46.1.tar.gz", hash = "sha256:16d79927d772edaf218820a96f9254e2211f9cd7fb3c308562d2d636c964a68c"}, ] [package.dependencies] @@ -7606,4 +7659,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.13" -content-hash = "b86f3dbc03393dafb3c83ec3d02014e0b3ef9bfe6857c1ec1fb661055bda69c7" +content-hash = "38b70e8d486c8bc1e926c7a99a74e95511eedac272a2a4d0ca72637932897bb3" diff --git a/pyproject.toml b/pyproject.toml index 1b4252f7f..b5eb0e63b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,8 +41,8 @@ python = ">=3.8.1,<3.13" concrete-ml-extensions = [ {version = "0.1.2", platform = "linux" } ] -concrete-python = {version="==2.8.1.dev20241026", source = "zama-pypi-cpu"} -setuptools = "65.6.3" +concrete-python = {version="==2.8.1.dev20241030", source = "zama-pypi-cpu"} +setuptools = "75.3.0" skops = {version = "0.5.0"} xgboost = "1.6.2" skorch = "0.11.0" @@ -53,7 +53,7 @@ torch = [ ] typing-extensions = "^4.5.0" brevitas = "0.10.2" -onnx = "1.16.1" +onnx = "1.17.0" onnxoptimizer = "0.3.13" # onnxruntime versions supported by onnx versions and opsets can be found here : # https://onnxruntime.ai/docs/reference/compatibility.html#onnx-opset-support @@ -71,7 +71,10 @@ numpy = [ {version = "1.23.5", python = "<3.9" }, {version = "1.26.4", python = ">=3.9.0"} ] -protobuf = "3.20.3" +protobuf = [ + {version = "^5.28.3", python = ">3.11"}, + {version = "3.20.3", python = "<=3.11"} +] pandas = "2.0.3" # Zama sources @@ -165,6 +168,7 @@ filterwarnings = [ "ignore:open_text is deprecated.*:DeprecationWarning", "ignore:read_text is deprecated.*:DeprecationWarning", "ignore:open_binary is deprecated.*:DeprecationWarning", + "ignore:pkg_resources is deprecated as an API.*:DeprecationWarning", ] [tool.semantic_release]