issue_comments: 738190759
This data as json
| 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/4648#issuecomment-738190759 | https://api.github.com/repos/pydata/xarray/issues/4648 | 738190759 | MDEyOklzc3VlQ29tbWVudDczODE5MDc1OQ== | 3924836 | 2020-12-03T18:17:13Z | 2020-12-03T18:17:13Z | MEMBER | thanks for the ping @dcherian, i really like the idea! One other thing that often gets neglected in test suites is operating on remote data. I understand the need to avoid long-running tests and tests prone to network failures for PRs, but running these sorts of examples as a cron job could be very helpful for benchmarking and detecting issues. In intake-xarray we recently added tests against a local HTTP server and "S3" server: https://github.com/intake/intake-xarray/blob/master/intake_xarray/tests/test_remote.py Also added several simple tests requiring a network connection to public data (no auth required) that we run locally but not in CI currently: https://github.com/intake/intake-xarray/blob/master/intake_xarray/tests/test_network.py |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
756425955 |