moble / quaternion

Add built-in support for quaternions to numpy
MIT License
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numpy.core.multiarray failed to import (version 2021.3.6.15.24.2) #158

Closed ethan-jiang-1 closed 3 years ago

ethan-jiang-1 commented 3 years ago

Many thanks for providing such excellent python lib.

I just run into a dependence issue on numpy-quaternion 2021.3.6.15.24.2

stack dump:

/usr/local/lib/python3.7/dist-packages/quaternion/init.py in () 23 import numpy as np 24 ---> 25 from .numpy_quaternion import ( 26 quaternion, _eps, slerp_evaluate, squad_evaluate, 27 # slerp_vectorized, squad_vectorized, slerp, squad,

ImportError: numpy.core.multiarray failed to import

once i switch back to elder version, numpy-quaternion==2020.11.2.17.0.49, everything is fine.

So, I guess something wrong with the dependence.

ethan-jiang-1 commented 3 years ago

oh, forgot attach my enviroment:

Package Version


absl-py 0.10.0
alabaster 0.7.12
albumentations 0.1.12
altair 4.1.0
appdirs 1.4.4
argon2-cffi 20.1.0
asgiref 3.3.1
astor 0.8.1
astropy 4.2
astunparse 1.6.3
async-generator 1.10
atari-py 0.2.6
atomicwrites 1.4.0
attrs 20.3.0
audioread 2.1.9
autograd 1.3
Babel 2.9.0
backcall 0.2.0
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bleach 3.3.0
blis 0.4.1
bokeh 2.1.1
Bottleneck 1.3.2
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bs4 0.0.1
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catalogue 1.0.0
certifi 2020.12.5
cffi 1.14.5
chainer 7.4.0
chardet 3.0.4
click 7.1.2
cloudpickle 1.3.0
cmake 3.12.0
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community 1.0.0b1
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convertdate 2.3.1
coverage 3.7.1
coveralls 0.5
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cufflinks 0.17.3
cupy-cuda101 7.4.0
cvxopt 1.2.6
cvxpy 1.0.31
cycler 0.10.0
cymem 2.0.5
Cython 0.29.22
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dask 2.12.0
datascience 0.10.6
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decorator 4.4.2
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distributed 1.25.3
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flatbuffers 1.12
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future 0.16.0
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GDAL 2.2.2
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gensim 3.6.0
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glob2 0.7
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torch 1.7.1+cu101
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wheel 0.36.2
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wordcloud 1.5.0
wrapt 1.12.1
xarray 0.15.1
xgboost 0.90
xkit 0.0.0
xlrd 1.1.0
xlwt 1.3.0
yellowbrick 0.9.1
zict 2.0.0
zipp 3.4.0

moble commented 3 years ago

This is a known problem with python's approach to packaging. See #72