Open habi opened 3 weeks ago
from dask.distributed import Client
client = Client()
also does not work, with AttributeError: module 'numpy' has no attribute 'bool8'. Did you mean: 'bool'?
Hi @habi, thanks for reporting the issue here.
Unfortunately, I can't reproduce the error using the provided environment file.
AttributeError:
np.round_
was removed in the NumPy 2.0 release. Usenp.round
instead. AttributeError: module 'numpy' has no attribute 'bool8'. Did you mean: 'bool'?
These two error messages hint towards some package in your environment (which dask-image depends on) not being compatible with numpy >= 2.
For debugging it, it'd be useful to have
np.round_
)environment.yml
pip list
.a larger part of the error traceback you get (for seeing which package contains the np.round_)
This is the full traceback:
(newenvironment) [habi@anaklin25|dask-issue]:python
Python 3.13.0 | packaged by conda-forge | (main, Oct 8 2024, 20:04:32) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import dask_image.imread
Traceback (most recent call last):
File "<python-input-0>", line 1, in <module>
import dask_image.imread
File "/home/habi/miniconda3/envs/newenvironment/lib/python3.13/site-packages/dask_image/imread/__init__.py", line 6, in <module>
import dask.array as da
File "/home/habi/miniconda3/envs/newenvironment/lib/python3.13/site-packages/dask/array/__init__.py", line 2, in <module>
from dask.array import backends, fft, lib, linalg, ma, overlap, random
File "/home/habi/miniconda3/envs/newenvironment/lib/python3.13/site-packages/dask/array/ma.py", line 8, in <module>
from dask.array.routines import _average
File "/home/habi/miniconda3/envs/newenvironment/lib/python3.13/site-packages/dask/array/routines.py", line 1569, in <module>
@implements(np.round, np.round_)
^^^^^^^^^
File "/home/habi/miniconda3/envs/newenvironment/lib/python3.13/site-packages/numpy/__init__.py", line 400, in __getattr__
raise AttributeError(
...<3 lines>...
)
AttributeError: `np.round_` was removed in the NumPy 2.0 release. Use `np.round` instead.
>>>
(I saw the problem in a Jupyter notebook, but the error also pops up in Python proper)
the full
environment.yml
(newenvironment) [habi@anaklin25|dask-issue]:cat environment.yaml
name: newenvironment
channels:
- conda-forge
dependencies:
- scipy
- dask-image
(newenvironment) [habi@anaklin25|dask-issue]:
the output of
pip list
(newenvironment) [habi@anaklin25|dask-issue]:pip list
Package Version
----------------- ---------
bokeh 2.4.3
Brotli 1.1.0
cffi 1.17.1
click 8.1.7
cloudpickle 3.1.0
cytoolz 1.0.0
dask 2023.3.0
dask-image 0.0.0
distributed 2023.3.0
fsspec 2024.9.0
h2 4.1.0
hpack 4.0.0
hyperframe 6.0.1
imagecodecs 2024.6.1
imageio 2.36.0
Jinja2 3.1.4
locket 1.0.0
lz4 4.3.3
MarkupSafe 3.0.1
msgpack 1.1.0
numpy 2.1.2
packaging 24.1
pandas 2.2.3
partd 1.4.2
pillow 11.0.0
PIMS 0.7
pip 24.2
psutil 6.0.0
pycparser 2.22
PySocks 1.7.1
python-dateutil 2.9.0
pytz 2024.1
PyYAML 6.0.2
scipy 1.14.1
six 1.16.0
slicerator 1.1.0
sortedcontainers 2.4.0
tblib 3.0.0
tifffile 2024.9.20
toolz 1.0.0
tornado 6.4.1
typing_extensions 4.12.2
tzdata 2024.2
urllib3 2.2.3
zict 3.0.0
zstandard 0.23.0
Can you please update dask
? Looks like it and associated packages are coming from 2023. Expect those are not compatible with NumPy 2. Would update to something much more recent
That (obviously) fixed the issue.
In this case I seem to misunderstand conda environments, as I expected them to be self-contained.
E.g. when I have dask-image
in it, this also "pulls" a recent version of dask.
(I don't understand why this environment file installs dask=2023.3.0
, as the machine I'm installing this on physically did not exist prior to July 2024 :) )
I'm working in a new conda environment, with the following
environment.yaml
file (mine contains more, but this is boiled down to nearly the minimum).In 'old' notebooks I was able to import dask-image with the call below
(I know, this is probably not the way to do it, but it used to work for a long time :)
Now this fails with
Environment: