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- Continue to use nanosecond-precision Timestamps in precision-sensitive areas · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1499092482 | https://github.com/pydata/xarray/pull/7731#issuecomment-1499092482 | https://api.github.com/repos/pydata/xarray/issues/7731 | IC_kwDOAMm_X85ZWlYC | keewis 14808389 | 2023-04-06T13:48:06Z | 2023-04-06T13:48:06Z | MEMBER | sorry, I forgot about being able to use the upstream-dev environment for testing. That should solve just fine since by design it ignores all pinned dependencies, but we currently get occasional segfaults and unrelated failing tests, and we only test on a single OS / python version. |
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Continue to use nanosecond-precision Timestamps in precision-sensitive areas 1657396474 | |
1499063414 | https://github.com/pydata/xarray/pull/7731#issuecomment-1499063414 | https://api.github.com/repos/pydata/xarray/issues/7731 | IC_kwDOAMm_X85ZWeR2 | keewis 14808389 | 2023-04-06T13:26:22Z | 2023-04-06T13:26:22Z | MEMBER | to properly test this, I guess we'd need to merge #7724 first? |
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Continue to use nanosecond-precision Timestamps in precision-sensitive areas 1657396474 |
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