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This should make it easier to see which pandas tests we have and which we are missing.
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To make this easier to review, I think I'll do this in multiple PRs. I don't want to accidentally miss a test. |
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#475 should be merged before this. I'll probably split the "moves" into separate PRs as well (dbapi first, then pandas/arrow) |
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This looks a step in the right direction. We need to resolve a few the merge conflicts, though.
@tswast Or do you plan to abandon this and submit multiple smaller PRs instead?
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I'll go with multiple PRs. (One for pandas and one for DB-API). I fear if I try to resolve merge conflicts, I'll accidentally delete some tests. |
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Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Follow-up to #448 Towards #366
Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Follow-up to googleapis/python-bigquery#448 Towards #366
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This should make it easier to see which pandas tests
we have and which we are missing.
Despite the branch name, not exactly related to #56, but I realized I was having trouble determining if this pandas DATETIME use case was tested when all system tests were in the same file.
Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:
Towards #366