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AttributeError: module 'numpy' has no attribute 'int' when importing tacto #42
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Description
Steps to reproduce
First, install tacto in a fresh environment as instructed
conda create -n reproduce python=3.8 -y
conda activate reproduce
pip install tactoThen, see if it worked: try running this python script
import tactoYou get the following error:
pybullet build time: Apr 12 2023 14:39:48
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/tacto/__init__.py", line 6, in <module>
from .renderer import Renderer # noqa: F401
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/tacto/renderer.py", line 29, in <module>
import pyrender
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/pyrender/__init__.py", line 10, in <module>
from .scene import Scene
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/pyrender/scene.py", line 7, in <module>
import networkx as nx
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/networkx/__init__.py", line 117, in <module>
import networkx.readwrite
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/networkx/readwrite/__init__.py", line 15, in <module>
from networkx.readwrite.graphml import *
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/networkx/readwrite/graphml.py", line 314, in <module>
class GraphML(object):
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/networkx/readwrite/graphml.py", line 346, in GraphML
(np.int, "int"), (np.int8, "int"),
File "/Users/thesofakillers/miniconda3/envs/temp/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
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