Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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
map_blocks: Allow passing dask-backed objects in args #3818
map_blocks: Allow passing dask-backed objects in args #3818
Changes from 17 commits
a96e759
5c17e3f
74cb118
639ad69
748828e
f73491a
4029649
d2f2916
32a37c7
a0e699f
4d40a25
04ffa6c
ed1bbab
d28ea75
4937bfc
5b8cad6
7908680
2bdcc64
552571c
10427bb
ba522e0
db9fa9f
5644c65
File filter
Filter by extension
Conversations
Jump to
There are no files selected for viewing
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
converting to object array so that we can use boolean indexing to pull out xarray objects
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Is there a better way to do this assignment?
np.array(args)
ends up computing things.