html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/4454#issuecomment-701095631,https://api.github.com/repos/pydata/xarray/issues/4454,701095631,MDEyOklzc3VlQ29tbWVudDcwMTA5NTYzMQ==,6628425,2020-09-30T00:50:55Z,2020-09-30T00:50:55Z,MEMBER,Thanks again @andrewpauling!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196
https://github.com/pydata/xarray/pull/4454#issuecomment-698670864,https://api.github.com/repos/pydata/xarray/issues/4454,698670864,MDEyOklzc3VlQ29tbWVudDY5ODY3MDg2NA==,6628425,2020-09-25T01:30:05Z,2020-09-25T23:56:23Z,MEMBER,"You're absolutely right @andrewpauling -- pandas currently doesn't seem to have overflow protection in the case of casting `timedelta64` types.  I wrongly assumed that it would!  I went ahead and opened an issue there: https://github.com/pandas-dev/pandas/issues/36615.  We'll see what they say.

For now maybe you can add the test and attach an [expected failure decorator](https://docs.pytest.org/en/latest/skipping.html#xfail-mark-test-functions-as-expected-to-fail) to it?

In researching this, I came across https://github.com/numpy/numpy/issues/16352; if that eventually gets addressed this might all be moot.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196