eye inconsistency with NumPy for dtype=None #8669
Description
What happened:
Calling eye with dtype=None gives an error rather than using the default float dtype, which is what happens in NumPy.
What you expected to happen:
Behaviour the same as NumPy.
Minimal Complete Verifiable Example:
>>> import numpy as np
>>> np.eye(2, dtype=None)
array([[1., 0.],
[0., 1.]])
>>> import dask.array as da
>>> da.eye(2, dtype=None)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/tom/projects-workspace/dask/dask/array/creation.py", line 546, in eye
vchunks, hchunks = normalize_chunks(chunks, shape=(N, M), dtype=dtype)
File "/Users/tom/projects-workspace/dask/dask/array/core.py", line 2907, in normalize_chunks
chunks = auto_chunks(chunks, shape, limit, dtype, previous_chunks)
File "/Users/tom/projects-workspace/dask/dask/array/core.py", line 3000, in auto_chunks
raise TypeError("dtype must be known for auto-chunking")
TypeError: dtype must be known for auto-chunkingAnything else we need to know?:
This fix is needed for the Array API (dask/community#109).
Environment:
- Dask version: main
- Python version: 3.8
- Operating System: Mac
- Install method (conda, pip, source): source