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/issues/7096#issuecomment-1264693714,https://api.github.com/repos/pydata/xarray/issues/7096,1264693714,IC_kwDOAMm_X85LYbHS,5635139,2022-10-02T17:27:33Z,2022-10-02T17:27:33Z,MEMBER,"> I got the same result in riscv64. One thing I could guess is that the sign bit of NaN is not kept during conversions. Some more details could be found at

Thanks for trying that. Notably, that code doesn't have xarray in. So I'm keen to be part of the solution, but it doesn't look to be a problem with xarray code specifically. Let me know if that makes sense.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1389019400
https://github.com/pydata/xarray/issues/7096#issuecomment-1264535517,https://api.github.com/repos/pydata/xarray/issues/7096,1264535517,IC_kwDOAMm_X85LX0fd,5635139,2022-10-02T02:47:22Z,2022-10-02T02:47:22Z,MEMBER,Closing but please feel free to reopen,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1389019400
https://github.com/pydata/xarray/issues/7096#issuecomment-1261481952,https://api.github.com/repos/pydata/xarray/issues/7096,1261481952,IC_kwDOAMm_X85LMK_g,5635139,2022-09-28T21:26:09Z,2022-09-28T21:26:09Z,MEMBER,"I'm not sure what that has to do with xarray though? Does this give the same result?

```
import numpy as np
import pandas as pd
num_dates = np.asarray([0., np.nan])
flat_num_dates = num_dates.ravel()
flat_num_dates_ns_int = (flat_num_dates * (int(1e9) * 60 * 60 * 24)).astype(np.int64)
flat_num_dates_ns_int
array([ 0, 9223372036854775807])
```


> Please could you answer the question on whether pandas tests pass?

We're here helping as volunteers; we can only engage on issues if you reciprocate our good faith. Please could you answer this?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1389019400
https://github.com/pydata/xarray/issues/7096#issuecomment-1261412104,https://api.github.com/repos/pydata/xarray/issues/7096,1261412104,IC_kwDOAMm_X85LL58I,5635139,2022-09-28T20:07:57Z,2022-09-28T20:07:57Z,MEMBER,"What are the bogus values?

Please could you answer the question on whether pandas tests pass?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1389019400
https://github.com/pydata/xarray/issues/7096#issuecomment-1261237590,https://api.github.com/repos/pydata/xarray/issues/7096,1261237590,IC_kwDOAMm_X85LLPVW,5635139,2022-09-28T17:34:03Z,2022-09-28T17:34:03Z,MEMBER,It looks lie many of these occur in pandas code — do pandas tests pass?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1389019400