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Description
Describe the issue:
I found that dask.take will bring different results with numpy.take as follow.
I think this may be a bug in dask.
Minimal Complete Verifiable Example:
import numpy as np
import dask.array as da
print(np.take([10,20],[True,False]))
print(da.take(da.array([10, 20]), da.array([True, False])).compute())Output:
[20 10]
[10]Anything else we need to know?:
Environment:
- Dask version: 2025.4.1
- Python version: 3.10.0
- Operating System: Linux 6.11.0-25-generic Ubuntu 24.04.1 x86_64 GNU/Linux
- Install method (conda, pip, source): pip
- Numpy version: 2.2.4