issues

Table actions

4 rows where "created_at" is on date 2023-10-20 and user = 2448579 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 2

state 2

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
1954809370 I_kwDOAMm_X850hAYa 8353 Update benchmark suite for asv 0.6.1 dcherian 2448579 open 0     0 2023-10-20T18:13:22Z 2023-12-19T05:53:21Z   MEMBER      

The new asv version comes with decorators for parameterizing and skipping, and the ability to use mamba to create environments.

https://github.com/airspeed-velocity/asv/releases

https://asv.readthedocs.io/en/v0.6.1/writing_benchmarks.html#skipping-benchmarks

This might help us reduce benchmark times a bit, or at least simplify the code some.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8353/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue
1954445639 I_kwDOAMm_X850fnlH 8350 optimize align for scalars at least dcherian 2448579 open 0     5 2023-10-20T14:48:25Z 2023-10-20T19:17:39Z   MEMBER      

What happened?

Here's a simple rescaling calculation: ```python import numpy as np import xarray as xr

ds = xr.Dataset( {"a": (("x", "y"), np.ones((300, 400))), "b": (("x", "y"), np.ones((300, 400)))} ) mean = ds.mean() # scalar std = ds.std() # scalar rescaled = (ds - mean) / std ```

The profile for the last line shows 30% (!!!) time spent in align (really reindex_like) except there's nothing to reindex when only scalars are involved!

This is a small example inspired by a ML pipeline where this normalization is happening very many times in a tight loop.

cc @benbovy

What did you expect to happen?

A fast path for when no reindexing needs to happen.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8350/reactions",
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue
1954535213 PR_kwDOAMm_X85dZT47 8351 [skip-ci] Add benchmarks for Dataset binary ops, chunk dcherian 2448579 closed 0     1 2023-10-20T15:31:36Z 2023-10-20T18:08:40Z 2023-10-20T18:08:38Z MEMBER   0 pydata/xarray/pulls/8351

xref #8339 xref #8350

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8351/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 pull
1954360112 PR_kwDOAMm_X85dYtpz 8349 [skip-ci] dev whats-new dcherian 2448579 closed 0     1 2023-10-20T14:02:07Z 2023-10-20T17:28:19Z 2023-10-20T14:54:30Z MEMBER   0 pydata/xarray/pulls/8349
  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8349/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]);