Comments (1)
dstansby
commented on September 22, 2024
2
Here's an even simpler reproducible example:
import dask.array as da
import numpy as np
x = da.arange(4, chunks=2)
print(x.compute())
print(x.map_blocks(lambda x: np.stack([x, x * 0.5]), new_axis=[0]).compute())
print(x.map_overlap(lambda x: np.stack([x, x * 0.5]), depth=1, new_axis=[0]).compute())array([0, 1, 2, 3])
array([[0. , 1. , 2. , 3. ],
[0. , 0.5, 1. , 1.5]])
array([[0. , 1. , 2. , 1. , 2. , 3. ],
[0. , 0.5, 1. , 0.5, 1. , 1.5]])
It looks like the edge overlaps are being trimmed with map_overlap, but the interior overlaps are not being trimmed before returning the result.
from dask.
Related Issues (20)
- Ensure that array-shuffle with range-like full indexer is a no-op
- Automatically rechunk in array-shuffle if groups are too large
- Issues with da.linalg.inv using CuPy-backed Dask arrays HOT 1
- BUG: `array.asarray` does not respect `dtype` arg HOT 1
- `2024.8.0` breaks `sparse` array indexing HOT 6
- order: dask order returns suboptimal ordering for xr.rechunk().groupby().reduce("cohorts")
- Error when saving joined dataframe with index name to parquet
- Error in addition of dask dataframe and array when reading from parquet HOT 3
- `2024.08.0` array slicing does not preserve masks HOT 1
- Dask 2024.8 started failing when indexing result of numpy.flatnonzero HOT 1
- DataFrame object vs string datatype HOT 3
- Columns are missing after rename HOT 2
- ⚠️ Upstream CI failed ⚠️ HOT 1
- Out of memory HOT 12
- Unexpected Behavior When Using `dask.delayed` with `xarray` to Load a Chunked Dataset HOT 3
- gpuCI broken HOT 2
- Expose a blockwise - reshape operation that doesn't guarantee to keep the ordering consistent for downstream libraries HOT 5
- ⚠️ Upstream CI failed ⚠️ HOT 3
- Requested dask.distributed scheduler but no Client active HOT 4
- cannot access local variable 'divisions' where it is not associated with a value
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dask.