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RHOAIENG-21842: bump JupyterLab-related dependencies in all Python 3.11 and 3.12 Pipfiles (#1218)
* RHOAIENG-21842: bump JupyterLab-related dependencies in all Python 3.11 / 3.12 Pipfiles - fixup: align `jupyter-bokeh` version to `~3.0.5` for TrustyAI 0.6.1 compatibility This update pulls in the Trash updates in JupyterLab UI * RHAIENG-540: bump `odh-elyra` to `4.2.3` in PyTorch LLM Compressor Pipfile * Update Pipfile.lock for Python 3.12 * Update Pipfile.lock for Python 3.11 --------- Co-authored-by: GitHub Actions <github-actions[bot]@users.noreply.github.com>
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jupyter/datascience/ubi9-python-3.11/Pipfile

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@@ -31,14 +31,14 @@ mysql-connector-python = "~=9.3.0"
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odh-elyra = "==4.2.3"
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jupyterlab = "==4.2.7"
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jupyterlab = "==4.4.4"
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jupyter-bokeh = "~=4.0.5"
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jupyter-server = "~=2.15.0"
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jupyter-server = "~=2.16.0"
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jupyter-server-proxy = "~=4.4.0"
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jupyter-server-terminals = "~=0.5.3"
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jupyterlab-git = "~=0.51.1"
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jupyterlab-lsp = "~=5.1.0"
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jupyterlab-widgets = "~=3.0.13"
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jupyterlab-lsp = "~=5.1.1"
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jupyterlab-widgets = "~=3.0.15"
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jupyter-resource-usage = "~=1.1.1"
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nbdime = "~=4.0.2"
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nbgitpuller = "~=1.2.2"

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

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jupyter/datascience/ubi9-python-3.11/requirements.txt

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@@ -988,9 +988,9 @@ jupyter-packaging==0.12.3; python_version >= '3.7' \
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jupyter-resource-usage==1.1.1; python_version >= '3.8' \
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--hash=sha256:1f163b51b1960801c84d01753907be695e4b23e6ce3f3291f6b03cab09cc438d \
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--hash=sha256:f7a3451caec9f5e6343f60b0a8e4034652138df65ece7a9153242115845f9bbb
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jupyter-server==2.15.0; python_version >= '3.9' \
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--hash=sha256:872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3 \
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--hash=sha256:9d446b8697b4f7337a1b7cdcac40778babdd93ba614b6d68ab1c0c918f1c4084
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jupyter-server==2.16.0; python_version >= '3.9' \
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--hash=sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e \
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--hash=sha256:65d4b44fdf2dcbbdfe0aa1ace4a842d4aaf746a2b7b168134d5aaed35621b7f6
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jupyter-server-mathjax==0.2.6; python_version >= '3.7' \
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--hash=sha256:416389dde2010df46d5fbbb7adb087a5607111070af65a1445391040f2babb5e \
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--hash=sha256:bb1e6b6dc0686c1fe386a22b5886163db548893a99c2810c36399e9c4ca23943
@@ -1000,9 +1000,9 @@ jupyter-server-proxy==4.4.0; python_version >= '3.8' \
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jupyter-server-terminals==0.5.3; python_version >= '3.8' \
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--hash=sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa \
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--hash=sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269
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jupyterlab==4.2.7; python_version >= '3.8' \
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--hash=sha256:7353c0704aec0e1219eb1e376c2d51f855a2522605f9ecdcab4993c006991ea3 \
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--hash=sha256:a16a10a114360a4249c855e382b95260ebf2b91341884739dde954936096684d
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jupyterlab==4.4.4; python_version >= '3.9' \
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--hash=sha256:163fee1ef702e0a057f75d2eed3ed1da8a986d59eb002cbeb6f0c2779e6cd153 \
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--hash=sha256:711611e4f59851152eb93316c3547c3ec6291f16bb455f1f4fa380d25637e0dd
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jupyterlab-git==0.51.2; python_version >= '3.8' \
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--hash=sha256:1150edabd844f9a5a3c7ba676409b18b8cc95b1a7bb171f357318f4075db2263 \
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--hash=sha256:ad91d56f0298fd70e7d8f8cd1ee76d261f0dfb940cc490717a31d64df4b7d562

jupyter/datascience/ubi9-python-3.12/Pipfile

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@@ -31,14 +31,14 @@ mysql-connector-python = "~=9.3.0"
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odh-elyra = "==4.2.3"
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jupyterlab = "==4.2.7"
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jupyterlab = "==4.4.4"
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jupyter-bokeh = "~=4.0.5"
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jupyter-server = "~=2.15.0"
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jupyter-server = "~=2.16.0"
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jupyter-server-proxy = "~=4.4.0"
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jupyter-server-terminals = "~=0.5.3"
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jupyterlab-git = "~=0.51.1"
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jupyterlab-lsp = "~=5.1.0"
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jupyterlab-widgets = "~=3.0.13"
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jupyterlab-lsp = "~=5.1.1"
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jupyterlab-widgets = "~=3.0.15"
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jupyter-resource-usage = "~=1.1.1"
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nbdime = "~=4.0.2"
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nbgitpuller = "~=1.2.2"

jupyter/datascience/ubi9-python-3.12/Pipfile.lock

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jupyter/datascience/ubi9-python-3.12/requirements.txt

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@@ -988,9 +988,9 @@ jupyter-packaging==0.12.3; python_version >= '3.7' \
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jupyter-resource-usage==1.1.1; python_version >= '3.8' \
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--hash=sha256:1f163b51b1960801c84d01753907be695e4b23e6ce3f3291f6b03cab09cc438d \
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--hash=sha256:f7a3451caec9f5e6343f60b0a8e4034652138df65ece7a9153242115845f9bbb
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jupyter-server==2.15.0; python_version >= '3.9' \
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--hash=sha256:872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3 \
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--hash=sha256:9d446b8697b4f7337a1b7cdcac40778babdd93ba614b6d68ab1c0c918f1c4084
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jupyter-server==2.16.0; python_version >= '3.9' \
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--hash=sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e \
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--hash=sha256:65d4b44fdf2dcbbdfe0aa1ace4a842d4aaf746a2b7b168134d5aaed35621b7f6
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jupyter-server-mathjax==0.2.6; python_version >= '3.7' \
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--hash=sha256:416389dde2010df46d5fbbb7adb087a5607111070af65a1445391040f2babb5e \
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--hash=sha256:bb1e6b6dc0686c1fe386a22b5886163db548893a99c2810c36399e9c4ca23943
@@ -1000,9 +1000,9 @@ jupyter-server-proxy==4.4.0; python_version >= '3.8' \
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jupyter-server-terminals==0.5.3; python_version >= '3.8' \
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--hash=sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa \
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--hash=sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269
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jupyterlab==4.2.7; python_version >= '3.8' \
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--hash=sha256:7353c0704aec0e1219eb1e376c2d51f855a2522605f9ecdcab4993c006991ea3 \
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--hash=sha256:a16a10a114360a4249c855e382b95260ebf2b91341884739dde954936096684d
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jupyterlab==4.4.4; python_version >= '3.9' \
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--hash=sha256:163fee1ef702e0a057f75d2eed3ed1da8a986d59eb002cbeb6f0c2779e6cd153 \
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--hash=sha256:711611e4f59851152eb93316c3547c3ec6291f16bb455f1f4fa380d25637e0dd
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jupyterlab-git==0.51.2; python_version >= '3.8' \
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--hash=sha256:1150edabd844f9a5a3c7ba676409b18b8cc95b1a7bb171f357318f4075db2263 \
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--hash=sha256:ad91d56f0298fd70e7d8f8cd1ee76d261f0dfb940cc490717a31d64df4b7d562

jupyter/minimal/ubi9-python-3.11/Pipfile

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[packages]
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# JupyterLab packages
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jupyterlab = "==4.2.7"
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jupyter-server = "~=2.15.0"
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jupyterlab = "==4.4.4"
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jupyter-server = "~=2.16.0"
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jupyter-server-proxy = "~=4.4.0"
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jupyter-server-terminals = "~=0.5.3"
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jupyterlab-git = "~=0.51.1"

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

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jupyter/minimal/ubi9-python-3.11/requirements.txt

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@@ -528,9 +528,9 @@ jupyter-events==0.12.0; python_version >= '3.9' \
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jupyter-lsp==2.2.6; python_version >= '3.8' \
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--hash=sha256:0566bd9bb04fd9e6774a937ed01522b555ba78be37bebef787c8ab22de4c0361 \
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--hash=sha256:283783752bf0b459ee7fa88effa72104d87dd343b82d5c06cf113ef755b15b6d
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jupyter-server==2.15.0; python_version >= '3.9' \
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--hash=sha256:872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3 \
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--hash=sha256:9d446b8697b4f7337a1b7cdcac40778babdd93ba614b6d68ab1c0c918f1c4084
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jupyter-server==2.16.0; python_version >= '3.9' \
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--hash=sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e \
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--hash=sha256:65d4b44fdf2dcbbdfe0aa1ace4a842d4aaf746a2b7b168134d5aaed35621b7f6
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jupyter-server-mathjax==0.2.6; python_version >= '3.7' \
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--hash=sha256:416389dde2010df46d5fbbb7adb087a5607111070af65a1445391040f2babb5e \
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--hash=sha256:bb1e6b6dc0686c1fe386a22b5886163db548893a99c2810c36399e9c4ca23943
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jupyter-server-terminals==0.5.3; python_version >= '3.8' \
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--hash=sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa \
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--hash=sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269
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jupyterlab==4.2.7; python_version >= '3.8' \
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--hash=sha256:7353c0704aec0e1219eb1e376c2d51f855a2522605f9ecdcab4993c006991ea3 \
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--hash=sha256:a16a10a114360a4249c855e382b95260ebf2b91341884739dde954936096684d
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jupyterlab==4.4.4; python_version >= '3.9' \
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--hash=sha256:163fee1ef702e0a057f75d2eed3ed1da8a986d59eb002cbeb6f0c2779e6cd153 \
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--hash=sha256:711611e4f59851152eb93316c3547c3ec6291f16bb455f1f4fa380d25637e0dd
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jupyterlab-git==0.51.2; python_version >= '3.8' \
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--hash=sha256:1150edabd844f9a5a3c7ba676409b18b8cc95b1a7bb171f357318f4075db2263 \
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--hash=sha256:ad91d56f0298fd70e7d8f8cd1ee76d261f0dfb940cc490717a31d64df4b7d562

jupyter/minimal/ubi9-python-3.12/Pipfile

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[packages]
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# JupyterLab packages
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jupyterlab = "==4.2.7"
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jupyter-server = "~=2.15.0"
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jupyterlab = "==4.4.4"
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jupyter-server = "~=2.16.0"
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jupyter-server-proxy = "~=4.4.0"
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jupyter-server-terminals = "~=0.5.3"
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jupyterlab-git = "~=0.51.1"

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