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Issue opendatahub-io#1598: RHAIENG-337: add pytorch+llmcompressor runtime to Makefile for refresh-pipfilelock-files (opendatahub-io#1878)
* Issue opendatahub-io#1598: RHAIENG-337: add `pytorch+llmcompressor` runtime to Makefile for `refresh-pipfilelock-files` This is fixup for omission in * opendatahub-io#1600 * 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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‎Makefile

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@@ -416,6 +416,7 @@ ifeq ($(PYTHON_VERSION), 3.11)
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runtimes/minimal/ubi9-python-$(PYTHON_VERSION) \
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runtimes/datascience/ubi9-python-$(PYTHON_VERSION) \
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runtimes/pytorch/ubi9-python-$(PYTHON_VERSION) \
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runtimes/pytorch+llmcompressor/ubi9-python-$(PYTHON_VERSION) \
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runtimes/tensorflow/ubi9-python-$(PYTHON_VERSION) \
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runtimes/rocm-tensorflow/ubi9-python-$(PYTHON_VERSION) \
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runtimes/rocm-pytorch/ubi9-python-$(PYTHON_VERSION)

‎codeserver/ubi9-python-3.11/Pipfile.lock

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‎codeserver/ubi9-python-3.11/requirements.txt

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@@ -470,9 +470,9 @@ matplotlib==3.10.5; python_version >= '3.10' \
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matplotlib-inline==0.1.7; python_version >= '3.8' \
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--hash=sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90 \
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--hash=sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca
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narwhals==2.0.1; python_version >= '3.9' \
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--hash=sha256:235e61ca807bc21110ca36a4d53888ecc22c42dcdf50a7c886e10dde3fd7f38c \
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--hash=sha256:837457e36a2ba1710c881fb69e1f79ce44fb81728c92ac378f70892a53af8ddb
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narwhals==2.1.0; python_version >= '3.9' \
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--hash=sha256:4d0d1ccc9f74fe44a93a7632b32268ab6658e7dfb026aa6f10b0c1bfa4c468b7 \
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--hash=sha256:dfeb3b24c1b06501d1c1e979bd25e424f8bbd2eb7a9d0f7bbf0a7d47e36b498f
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nest-asyncio==1.6.0; python_version >= '3.5' \
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--hash=sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe \
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--hash=sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c

‎codeserver/ubi9-python-3.12/Pipfile.lock

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‎codeserver/ubi9-python-3.12/requirements.txt

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@@ -470,9 +470,9 @@ matplotlib==3.10.5; python_version >= '3.10' \
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matplotlib-inline==0.1.7; python_version >= '3.8' \
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--hash=sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90 \
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--hash=sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca
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narwhals==2.0.1; python_version >= '3.9' \
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--hash=sha256:235e61ca807bc21110ca36a4d53888ecc22c42dcdf50a7c886e10dde3fd7f38c \
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--hash=sha256:837457e36a2ba1710c881fb69e1f79ce44fb81728c92ac378f70892a53af8ddb
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narwhals==2.1.0; python_version >= '3.9' \
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--hash=sha256:4d0d1ccc9f74fe44a93a7632b32268ab6658e7dfb026aa6f10b0c1bfa4c468b7 \
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--hash=sha256:dfeb3b24c1b06501d1c1e979bd25e424f8bbd2eb7a9d0f7bbf0a7d47e36b498f
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nest-asyncio==1.6.0; python_version >= '3.5' \
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--hash=sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe \
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--hash=sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c

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

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

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

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

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

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