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Make pandas import lazy in data_batch_conversion #30352

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merged 3 commits into from
Nov 17, 2022

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@jiaodong jiaodong commented Nov 16, 2022

Why are these changes needed?

In my previous PR I defined a BlockFormat enum in data_batch_conversion and imported from dataset. But since dataset deps lives on critical path of ray.init(), it leads to test_dashboard failures without pandas installed. This PR makes it lazy and throw exception on all critical functions that requires pandas beyond typehint.

Verified by manually uninstalling pandas, run pytest test_dashboard.py to ensure it failed, apply this PR and ensure it works as expected.

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  • I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
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    • This PR is not tested :(

@fishbone fishbone merged commit e19a102 into ray-project:master Nov 17, 2022
WeichenXu123 pushed a commit to WeichenXu123/ray that referenced this pull request Dec 19, 2022
…30352)

In my previous PR I defined a BlockFormat enum in data_batch_conversion and imported from dataset. But since dataset deps lives on critical path of ray.init(), it leads to test_dashboard failures without pandas installed. This PR makes it lazy and throw exception on all critical functions that requires pandas beyond typehint.

Verified by manually uninstalling pandas, run pytest test_dashboard.py to ensure it failed, apply this PR and ensure it works as expected.

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
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5 participants