-
Notifications
You must be signed in to change notification settings - Fork 53
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Support basic xarray-functionality #1183
base: main
Are you sure you want to change the base?
Conversation
@mtar I tried to change |
Thank you for the PR! |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #1183 +/- ##
==========================================
- Coverage 91.83% 90.10% -1.74%
==========================================
Files 77 79 +2
Lines 11191 10952 -239
==========================================
- Hits 10277 9868 -409
- Misses 914 1084 +170
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
Thank you for the PR! |
1 similar comment
Thank you for the PR! |
This pull request is stale because it has been open for 60 days with no activity. |
This pull request is stale because it has been open for 60 days with no activity. |
This pull request is stale because it has been open for 60 days with no activity. |
Description
In this PR we add a class
DXarray
that is somehow similar toxarray.DataArray
but withheat.DNDarray
's instead ofnumpy
arrays; whenever possible, we use existing Heat-operations or process-localxarray
-operations.So far implemented:
DXarray
.xarray()
(DXarray to xarray),from_xarray()
(xarray to DXarray)resplit_
(in place resplit of DXarray),balance_
(in place balacing of DXarray)print
To be done (for the beginning):
xarray
as process-local compute engineDue Diligence
main
for new features, latest release branch (e.g.release/1.3.x
) for bug fixes