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/2263#issuecomment-403110781,https://api.github.com/repos/pydata/xarray/issues/2263,403110781,MDEyOklzc3VlQ29tbWVudDQwMzExMDc4MQ==,1200058,2018-07-06T18:19:59Z,2018-07-06T18:19:59Z,NONE,"Thank you very much for trying to help :)
It's no big problem at the moment, as it only comes up when I'm debugging.
If this should really get a big problem I'll try to publish a test script here.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,337619718
https://github.com/pydata/xarray/issues/2263#issuecomment-402700723,https://api.github.com/repos/pydata/xarray/issues/2263,402700723,MDEyOklzc3VlQ29tbWVudDQwMjcwMDcyMw==,1200058,2018-07-05T12:06:21Z,2018-07-05T12:08:07Z,NONE,"```
>>> X.variable._data
array([[ 3478., 9079., 51928., ..., 34312., 11081., 79157.],
[ 6976., 14495., 64495., ..., 30606., 12816., 157080.],
[ 4260., 10066., 47271., ..., 47332., 14947., 118562.],
...,
[ 12976., 9201., 31295., ..., 22093., 8846., 96991.],
[ 7033., 8238., 22521., ..., 20476., 9051., 67057.],
[ 13566., 10308., 28916., ..., 15529., 7426., 84852.]],
dtype=float32)
>>> type(X.variable._data)
>>> idx
array([ 705, 753, 342, 398, 688, 661, 630, 624, 668, 669, 631,
430, 54, 828, 478, 912, 772, 78, 627, 164, 557, 393,
1019, 559, 440, 290, 226, 299, 870, 718, 603, 947, 800,
483, 66, 453, 485, 919, 671, 213, 877, 126, 684, 600,
146, 1008, 496, 1028, 196, 51, 749, 971, 779, 232, 918,
608, 72, 707, 58, 1014, 1043, 370, 185, 818, 378, 315,
[... i deleted here ...]
81, 145, 1053, 839, 466, 901, 1017, 48, 521, 162, 773,
170, 846, 1091, 1361, 1257, 1249, 1163, 1166, 634, 907, 1349,
432, 304, 1417, 1343, 424, 520, 1206, 1370, 23, 1477, 1047,
1407, 1314, 69, 1197, 1443, 261, 1479, 539, 675, 47, 619,
455, 1224, 513, 667, 894], dtype=int32)
>>> type(idx)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,337619718
https://github.com/pydata/xarray/issues/2263#issuecomment-402445256,https://api.github.com/repos/pydata/xarray/issues/2263,402445256,MDEyOklzc3VlQ29tbWVudDQwMjQ0NTI1Ng==,1200058,2018-07-04T11:01:02Z,2018-07-04T11:01:02Z,NONE,"There is no X._data, but X.values is a simple ndarray.
I pickled X and idx:
[unit_test.zip](https://github.com/pydata/xarray/files/2162950/unit_test.zip)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,337619718
https://github.com/pydata/xarray/issues/2263#issuecomment-402099108,https://api.github.com/repos/pydata/xarray/issues/2263,402099108,MDEyOklzc3VlQ29tbWVudDQwMjA5OTEwOA==,1200058,2018-07-03T10:30:45Z,2018-07-03T10:31:45Z,NONE,"I tried to, but I'm not sure whats the root cause of this problem.
This problem occures as part of my Tensorflow input pipeline (it's called by a py_func) and it's hard to reproduce without Tensorflow.
Maybe this helps?
It might also be possible that this is some problem with python itself or some multithreading issue.
I just found this issue which exactly describes my problem:
https://github.com/ContinuumIO/anaconda-issues/issues/8737
There's also the hint that this problem only occurs in debug mode.
I'm always running my unit tests in debug mode, that's why I did not realize this.
Having that said, it's maybe not worth to change this in xarray and wait for a python solution to this.
However, since two brackets would solve this issue, it might not be too invasive to simply fix this one line :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,337619718