issues

Table actions

3 rows where "closed_at" is on date 2023-10-31, state = "closed" and user = 14371165 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

state 1

  • closed · 3 ✖

repo 1

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
1966953477 PR_kwDOAMm_X85eC9NL 8391 Add duckarray test for np.array_api Illviljan 14371165 closed 0     0 2023-10-29T11:37:29Z 2023-12-06T22:30:04Z 2023-10-31T03:05:23Z MEMBER   0 pydata/xarray/pulls/8391

Check if the Array object from numpy.array_api is a valid duckarray. If it isn't we're likely doing something wrong.

Comments: * array_api standard does not specify a __array__-method. * Move __array__ to _arrayfunction only * We therefore have to use np.asarray(namedarray.data) when comparing ndarrays in the tests

Seen in #8344

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8391/reactions",
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 pull
1971001432 PR_kwDOAMm_X85eQvnS 8395 Correct typing for _sparsearray Illviljan 14371165 closed 0     0 2023-10-31T17:50:47Z 2023-10-31T19:28:49Z 2023-10-31T19:28:49Z MEMBER   0 pydata/xarray/pulls/8395

Use _DType_co instead, otherwise the dtype wont be correctly passed along. Quick follow up to #8387.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8395/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 pull
1966603230 PR_kwDOAMm_X85eB5WY 8387 Fix sparse typing Illviljan 14371165 closed 0     0 2023-10-28T13:50:08Z 2023-10-31T17:43:58Z 2023-10-31T17:43:57Z MEMBER   0 pydata/xarray/pulls/8387

Fixes the following pyright error on main:

C:\Users\J.W\Documents\GitHub\xarray\xarray\namedarray\core.py:846:39 - error: Argument of type "NDArray[Any]" cannot be assigned to parameter "data" of type "duckarray[_ShapeType_co@NamedArray, _DType_co@NamedArray] | Default" in function "_replace"   Type "NDArray[Any]" cannot be assigned to type "duckarray[_ShapeType_co@NamedArray, _DType_co@NamedArray] | Default"     "NDArray[Any]" is incompatible with protocol "_arrayfunction[_ShapeType_co@NamedArray, _DType_co@NamedArray]"       Type "(dtype: None = ..., /) -> ndarray[Any, _dtype]" cannot be assigned to type "(dtype: _DType@__array__, /) -> ndarray[Any, _DType@__array__]"         Parameter 1: type "_DType@__array__" cannot be assigned to type "None"           Type cannot be assigned to type "None"       Type "(dtype: None = ..., /) -> ndarray[Any, _dtype]" cannot be assigned to type "(dtype: _DType@__array__, /) -> ndarray[Any, _DType@__array__]"         Parameter 1: type "_DType@__array__" cannot be assigned to type "None"           Type cannot be assigned to type "None" ... (reportGeneralTypeIssues)

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8387/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]);