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Pin kfp to the latest 2.9.0 release.
This needs the onnxconverter-common to be pinned to 1.13.0 release, see [1]. [1] https://issues.redhat.com/browse/RHOAIENG-11623?focusedId=25612155&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-25612155
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jupyter/datascience/ubi9-python-3.11/Pipfile

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@@ -9,14 +9,15 @@ name = "pypi"
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# Datascience and useful extensions
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boto3 = "~=1.35.14"
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kafka-python = "~=2.0.2"
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kfp = "~=2.9.0"
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matplotlib = "~=3.9.2"
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numpy = "~=2.1.0"
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pandas = "~=2.2.2"
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plotly = "~=5.23.0"
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scikit-learn = "~=1.5.1"
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scipy = "~=1.14.1"
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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.14.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.18.0"
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# DB connectors

jupyter/datascience/ubi9-python-3.11/Pipfile.lock

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jupyter/pytorch/ubi9-python-3.11/Pipfile

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@@ -19,14 +19,15 @@ torchvision = {version = "~=0.19.0", index = "pytorch"}
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# Datascience and useful extensions
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boto3 = "~=1.35.14"
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kafka-python = "~=2.0.2"
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kfp = "~=2.9.0"
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matplotlib = "~=3.9.2"
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numpy = "~=2.1.0"
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pandas = "~=2.2.2"
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plotly = "~=5.23.0"
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scikit-learn = "~=1.5.1"
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scipy = "~=1.14.1"
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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.14.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.18.0"
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# DB connectors

jupyter/pytorch/ubi9-python-3.11/Pipfile.lock

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jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile

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@@ -21,14 +21,15 @@ pytorch-triton-rocm = {version = "~=3.0.0", index = "pytorch"}
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# Datascience and useful extensions
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boto3 = "~=1.35.14"
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kafka-python = "~=2.0.2"
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kfp = "~=2.9.0"
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matplotlib = "~=3.9.2"
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numpy = "~=2.1.0"
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pandas = "~=2.2.2"
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plotly = "~=5.23.0"
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scikit-learn = "~=1.5.1"
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scipy = "~=1.14.1"
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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.14.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.18.0"
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# DB connectors

jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock

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jupyter/trustyai/ubi9-python-3.11/Pipfile

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@@ -21,14 +21,15 @@ trustyai = "~=0.6.1"
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# Datascience and useful extensions
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boto3 = "~=1.35.14"
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kafka-python = "~=2.0.2"
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kfp = "~=2.9.0"
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matplotlib = "~=3.6.3" # Should be pinned down to this version in order to be compatible with trustyai
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numpy = "~=1.24.1" # Should be pinned down to this version in order to be compatible with trustyai
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pandas = "~=1.5.3" # Should be pinned down to this version in order to be compatible with trustyai
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plotly = "~=5.23.0"
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scikit-learn = "~=1.2.1" # Should be pinned down to this version in order to be compatible with trustyai
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scipy = "~=1.14.1"
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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.14.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.18.0"
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# DB connectors

jupyter/trustyai/ubi9-python-3.11/Pipfile.lock

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