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Merge branch 'main' into konflux/component-updates/component-update-odh-pipeline-runtime-tensorflow-cuda-py312-ubi9
2 parents b1c84c0 + bad19bc commit 302091d

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‎examples/jupyterlab-with-elyra/Dockerfile

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@@ -68,7 +68,7 @@ numpy~=2.2.3
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EOF
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RUN echo "Installing software and packages" && \
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pip install -r requirements.txt && \
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pip install --no-cache-dir -r requirements.txt && \
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rm -f ./Pipfile.lock && \
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# Prepare directories for elyra runtime configuration
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mkdir /opt/app-root/runtimes && \

‎jupyter/datascience/ubi9-python-3.12/test/test_notebook.ipynb

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" with open(lock_file, 'r') as file:\n",
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" data = json.load(file)\n",
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"\n",
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" return data \n",
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" return data\n",
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"\n",
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"def get_expected_version(dependency_name: str) -> str:\n",
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" raw_value = expected_versions.get(dependency_name)\n",
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"\n",
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" self.assertEqual(boto3.DEFAULT_SESSION, session)\n",
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"\n",
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"@unittest.skip(\"RHAIENG-509: TestSecurity tests all fail\")\n",
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"class TestSecurity(unittest.TestCase):\n",
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" def test_jupyter_password_env(self):\n",
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" self.assertIn(\"JUPYTER_PASSWORD\", os.environ, \"Missing JUPYTER_PASSWORD env variable for login protection\")\n",

‎jupyter/minimal/ubi9-python-3.12/test/test_notebook.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2d972b6b-1211-4c21-a7e8-a1683b72a62c",
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": [
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"import os\n",
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"import ssl\n",
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" actual = get_major_minor(nbdime.__version__)\n",
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" self.assertEqual(actual, expected, f\"nbdime version mismatch: expected {expected}, got {actual}\")\n",
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"\n",
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"@unittest.skip(\"RHAIENG-509: TestSecurity tests all fail\")\n",
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"class TestSecurity(unittest.TestCase):\n",
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" def test_jupyter_password_env(self):\n",
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" self.assertIn(\"JUPYTER_PASSWORD\", os.environ, \"Missing JUPYTER_PASSWORD env variable for login protection\")\n",
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"\n",
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"expected_versions = load_expected_versions()\n",
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"unittest.main(argv=[''], verbosity=2, exit=False)"
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]
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],
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"id": "c5b610b0e22cf4ca"
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}
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],
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"metadata": {

‎jupyter/pytorch/ubi9-python-3.12/test/test_notebook.ipynb

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" with open(lock_file, 'r') as file:\n",
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" data = json.load(file)\n",
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"\n",
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" return data \n",
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" return data\n",
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"\n",
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"def get_expected_version(dependency_name: str) -> str:\n",
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" raw_value = expected_versions.get(dependency_name)\n",
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" raw_version = re.sub(r'^\\D+', '', raw_value)\n",
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" return get_major_minor(raw_version)\n",
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"\n",
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"class TestPytorchNotebook(unittest.TestCase):\n",
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" \n",
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"\n",
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" def test_python_version(self):\n",
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" expected_major_minor = get_expected_version('Python')\n",
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" actual_major_minor = '.'.join(python_version().split('.')[:2]) \n",
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" actual_major_minor = '.'.join(python_version().split('.')[:2])\n",
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" self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
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" \n",
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"\n",
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" def test_torch_version(self):\n",
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" expected_major_minor = get_expected_version('PyTorch')\n",
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" actual_major_minor = '.'.join(torch.__version__.split('.')[:2]) \n",
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" actual_major_minor = '.'.join(torch.__version__.split('.')[:2])\n",
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" self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
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" \n",
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"\n",
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" def test_tensor_creation(self):\n",
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" # Test tensor creation\n",
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" tensor = torch.tensor([1, 2, 3])\n",
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" self.assertIsInstance(tensor, torch.Tensor)\n",
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" \n",
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"\n",
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" def test_tensor_operations(self):\n",
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" # Test tensor operations\n",
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" a = torch.tensor([1, 2, 3])\n",
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" b = torch.tensor([4, 5, 6])\n",
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" c = a + b\n",
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" self.assertTrue(torch.all(torch.eq(c, torch.tensor([5, 7, 9]))))\n",
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" \n",
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"\n",
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" def test_tensor_shape(self):\n",
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" # Test tensor shape\n",
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" tensor = torch.tensor([[1, 2, 3], [4, 5, 6]])\n",
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" self.assertEqual(tensor.shape, (2, 3))\n",
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" \n",
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"\n",
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" def test_polynomial_fitting(self):\n",
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" dtype = torch.float\n",
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" device = torch.device(\"cpu\")\n",
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"\n",
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"\n",
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" print(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')\n",
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" \n",
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"\n",
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" def test_image_transform(self):\n",
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" # Define a sample image\n",
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" sample_image = Image.new('RGB', (100, 100), color='red')\n",
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"\n",
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" # Assert that the writer has been successfully created and used\n",
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" self.assertTrue(isinstance(writer, SummaryWriter))\n",
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" \n",
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"\n",
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" def test_convert_to_onnx(self):\n",
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" # Load a pre-trained PyTorch model (for example, ResNet-18)\n",
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" model = models.resnet18(pretrained=True)\n",
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" # Check if the ONNX file exists\n",
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" self.assertTrue(os.path.exists(onnx_path), f\"ONNX file {onnx_path} not found\")\n",
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"\n",
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"@unittest.skip(\"RHAIENG-509: TestSecurity tests all fail\")\n",
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"class TestSecurity(unittest.TestCase):\n",
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" def test_jupyter_password_env(self):\n",
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" self.assertIn(\"JUPYTER_PASSWORD\", os.environ, \"Missing JUPYTER_PASSWORD env variable for login protection\")\n",
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" def test_host_not_public(self):\n",
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" host = os.environ.get(\"JUPYTER_HOST\", \"localhost\")\n",
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" self.assertIn(host, [\"localhost\", \"127.0.0.1\"], f\"Jupyter host is publicly exposed: {host}\")\n",
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" \n",
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"\n",
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"expected_versions = load_expected_versions()\n",
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"\n",
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"suite = unittest.TestLoader().loadTestsFromTestCase(TestPytorchNotebook)\n",

‎jupyter/tensorflow/ubi9-python-3.12/test/test_notebook.ipynb

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" tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n",
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" model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n",
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"\n",
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"@unittest.skip(\"RHAIENG-509: TestSecurity tests all fail\")\n",
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"class TestSecurity(unittest.TestCase):\n",
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"\n",
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" def test_jupyter_password_env(self):\n",

‎manifests/base/commit-latest.env

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odh-workbench-jupyter-minimal-cpu-py311-ubi9-commit-n=6c50c8d
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odh-workbench-jupyter-minimal-cuda-py311-ubi9-commit-n=3b41375
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‎manifests/base/cuda-rstudio-buildconfig.yaml

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git:
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ref: rhoai-2.22
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ref: rhoai-2.24
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strategy:
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‎manifests/base/params-latest.env

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odh-workbench-jupyter-minimal-cpu-py311-ubi9-n=quay.io/opendatahub/odh-workbench-jupyter-minimal-cpu-py311-ubi9@sha256:6dfb2d74001276c2842f53e8dc0dcf754d9d5d16f14593f470a37e33160e55b2
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odh-workbench-jupyter-minimal-cuda-py311-ubi9-n=quay.io/opendatahub/odh-workbench-jupyter-minimal-cuda-py311-ubi9@sha256:cc83db301449aaccc2c1284957ef1c68ed50b546ff25cc16e3678c423c4c00f0
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odh-workbench-jupyter-datascience-cpu-py311-ubi9-n=quay.io/opendatahub/odh-workbench-jupyter-datascience-cpu-py311-ubi9@sha256:0622e28f618dd1021864af476d02b11db556a24e0b650a1d76c25f37ea1d99c2
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‎manifests/base/rstudio-buildconfig.yaml

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type: Git
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git:
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uri: "https://github.com/red-hat-data-services/notebooks"
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ref: rhoai-2.22
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ref: rhoai-2.24
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strategy:
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type: Docker
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dockerStrategy:

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