home / github

Menu
  • GraphQL API
  • Search all tables

issues

Table actions
  • GraphQL API for issues

6 rows where comments = 4, type = "pull" and user = 6213168 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 1

  • pull · 6 ✖

state 1

  • closed 6

repo 1

  • xarray 6
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
671216158 MDExOlB1bGxSZXF1ZXN0NDYxNDM4MDIz 4297 Lazily load resource files crusaderky 6213168 closed 0 crusaderky 6213168   4 2020-08-01T21:31:36Z 2020-09-22T05:32:38Z 2020-08-02T07:05:15Z MEMBER   0 pydata/xarray/pulls/4297
  • Marginal speed-up and RAM footprint reduction when not running in Jupyter Notebook
  • Closes #4294
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/4297/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
551532886 MDExOlB1bGxSZXF1ZXN0MzY0MjM4MTM2 3703 hardcoded xarray.__all__ crusaderky 6213168 closed 0     4 2020-01-17T17:09:45Z 2020-01-18T00:58:06Z 2020-01-17T20:42:25Z MEMBER   0 pydata/xarray/pulls/3703

Closes #3695

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3703/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
551544665 MDExOlB1bGxSZXF1ZXN0MzY0MjQ3NjE3 3705 One-off isort run crusaderky 6213168 closed 0     4 2020-01-17T17:36:10Z 2020-01-17T22:59:26Z 2020-01-17T21:00:24Z MEMBER   0 pydata/xarray/pulls/3705
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3705/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
510527025 MDExOlB1bGxSZXF1ZXN0MzMwODg1Mzk2 3429 minor lint tweaks crusaderky 6213168 closed 0     4 2019-10-22T09:15:03Z 2019-10-24T12:53:24Z 2019-10-24T12:53:21Z MEMBER   0 pydata/xarray/pulls/3429
  • Ran pyflakes 2.1.1
  • Some f-string tweaks
  • Ran black -t py36
  • Ran mypy 0.740. We'll need to skip it and jump directly to 0.750 once it's released because of https://github.com/python/mypy/issues/7735
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3429/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
479359010 MDExOlB1bGxSZXF1ZXN0MzA2MjczNTY3 3202 chunk sparse arrays crusaderky 6213168 closed 0 crusaderky 6213168   4 2019-08-11T11:19:16Z 2019-08-12T21:02:31Z 2019-08-12T21:02:25Z MEMBER   0 pydata/xarray/pulls/3202

Closes #3191

@shoyer I completely disabled wrapping in ImplicitToExplicitIndexingAdapter for sparse arrays, cupy arrays, etc. I'm not sure if it's desirable; the chief problem is that I don't think I understand the purpose of ImplicitToExplicitIndexingAdapter to begin with... some enlightenment would be appreciated.

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3202/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
170744285 MDExOlB1bGxSZXF1ZXN0ODEwMjkzMDc= 963 Align broadcast crusaderky 6213168 closed 0     4 2016-08-11T20:55:29Z 2016-08-14T23:25:02Z 2016-08-14T23:24:15Z MEMBER   0 pydata/xarray/pulls/963
  • Removed partial_align()
  • Added exclude and indexes optional parameters to align() public API
  • Added exclude optional parameter to broadcast() public API
  • Added various unit tests to check that align() and broadcast() do not perform needless data copies
  • broadcast() to automatically align inputs

Note: there is a failed unit test, TestDataset.test_broadcast_nocopy, which shows broadcast on dataset doing a data copy whereas it shouldn't. Could you look into it?

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/963/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull

Advanced export

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

CSV options:

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);
Powered by Datasette · Queries took 23.848ms · About: xarray-datasette