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@@ -28,6 +28,9 @@ ENV PATH="~/.local/bin:${PATH}" | |||
| 28 | 28 | # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data. | |
| 29 | 29 | RUN uv pip uninstall --system google-cloud-bigquery-storage | |
| 30 | 30 | ||
| 31 | + # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate. | ||
| 32 | + RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets]>=0.3.7 | ||
| 33 | + | ||
| 31 | 34 | # uv cannot install this in requirements.txt without --no-build-isolation | |
| 32 | 35 | # to avoid affecting the larger build, we'll post-install it. | |
| 33 | 36 | RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools" | |
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@@ -70,7 +70,6 @@ jupyter_server==2.12.5 | |||
| 70 | 70 | jupyterlab | |
| 71 | 71 | jupyterlab-lsp | |
| 72 | 72 | kaggle-environments | |
| 73 | - kagglehub[pandas-datasets,hf-datasets]>=0.3.6 | ||
| 74 | 73 | # Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data(): | |
| 75 | 74 | # See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a | |
| 76 | 75 | keras<3.6 | |
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