issue_comments

Table actions

3 rows where user = 352673 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: reactions, created_at (date), updated_at (date)

user 1

  • Xarthisius · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1167405546 https://github.com/pydata/xarray/issues/6728#issuecomment-1167405546 https://api.github.com/repos/pydata/xarray/issues/6728 IC_kwDOAMm_X85FlTHq Xarthisius 352673 2022-06-27T14:11:46Z 2022-06-27T14:11:46Z NONE

Possibly related issue: #5706

Oops, looks like my issue is a dupe. Sorry! I looked but I somehow missed that one.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   open_dataset segfaults when opening hdf5 with array of strings 1285001323
1167344851 https://github.com/pydata/xarray/issues/6728#issuecomment-1167344851 https://api.github.com/repos/pydata/xarray/issues/6728 IC_kwDOAMm_X85FlETT Xarthisius 352673 2022-06-27T13:20:14Z 2022-06-27T13:20:14Z NONE

Can you reproduce this without xarray? It should probably be reported upstream? (In the netCDF4 repo?)

Yeah, it can be triggered with:

```python

from netCDF4 import Dataset import h5py import numpy as np import operator

filename = "foobar.h5" with h5py.File(filename, "w") as fp: fp["test"] = np.array(["foo", "bar", "baz"], dtype="|S3")

rootgrp = Dataset("foobar.h5", "r", format="NETCDF4")

This works

print(rootgrp["/test"][slice(None)])

This segfaults

operator.getitem(rootgrp["/test"], slice(None)) ```

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   open_dataset segfaults when opening hdf5 with array of strings 1285001323
1166664112 https://github.com/pydata/xarray/issues/6728#issuecomment-1166664112 https://api.github.com/repos/pydata/xarray/issues/6728 IC_kwDOAMm_X85FieGw Xarthisius 352673 2022-06-26T22:29:11Z 2022-06-26T23:33:03Z NONE

I can confirm that if I downgrade netCDF4 from 1.6.0 to 1.5.8 I get UnicodeDecodeError

Edit1: I checked that if I install netCDF4-1.6.0 from git, it works (i.e. I get the UnicodeDecodeError). Only with pip install netCDF4==1.6.0 I'm able to trigger the segmentation fault.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   open_dataset segfaults when opening hdf5 with array of strings 1285001323

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);