Conda 3.9 在 macOS 上无法使用 numpy ( "Reason: Image not found" )?



我刚刚为conda安装了一个python3.9环境。它适用于基础python,但显然不适用于numpy。错误提示为"原因:未找到图像":

numpy已成功安装:

conda install numpy

The following NEW packages will be INSTALLED:
blas               conda-forge/osx-64::blas-2.106-openblas
libblas            conda-forge/osx-64::libblas-3.9.0-6_openblas
libcblas           conda-forge/osx-64::libcblas-3.9.0-6_openblas
libgfortran        conda-forge/osx-64::libgfortran-5.0.0-9_3_0_h6c81a4c_18
libgfortran5       conda-forge/osx-64::libgfortran5-9.3.0-h6c81a4c_18
liblapack          conda-forge/osx-64::liblapack-3.9.0-6_openblas
liblapacke         conda-forge/osx-64::liblapacke-3.9.0-6_openblas
libopenblas        conda-forge/osx-64::libopenblas-0.3.12-openmp_h54245bb_1
llvm-openmp        conda-forge/osx-64::llvm-openmp-11.0.1-h7c73e74_0
numpy              pkgs/main/osx-64::numpy-1.19.2-py39h0fa1045_0
numpy-base         pkgs/main/osx-64::numpy-base-1.19.2-py39h3a452eb_0

Proceed ([y]/n)? 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

安装conda install ipython也成功。但ipython不工作:

$ipython
Python 3.9.1 (default, Dec 11 2020, 06:28:49) 
Type 'copyright', 'credits' or 'license' for more information
IPython 7.20.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import numpy as np
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/__init__.py in <module>
21 try:
---> 22     from . import multiarray
23 except ImportError as exc:
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/multiarray.py in <module>
11 
---> 12 from . import overrides
13 from . import _multiarray_umath
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/overrides.py in <module>
6 
----> 7 from numpy.core._multiarray_umath import (
8     add_docstring, implement_array_function, _get_implementing_args)

ImportError: dlopen(/Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so, 2): Library not loaded: @rpath/libopenblas.dylib
Referenced from: /Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so
Reason: image not found
During handling of the above exception, another exception occurred:
ImportError                               Traceback (most recent call last)
<ipython-input-1-0aa0b027fcb6> in <module>
----> 1 import numpy as np
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/__init__.py in <module>
138     from . import _distributor_init
139 
--> 140     from . import core
141     from .core import *
142     from . import compat
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/__init__.py in <module>
46 """ % (sys.version_info[0], sys.version_info[1], sys.executable,
47         __version__, exc)
---> 48     raise ImportError(msg)
49 finally:
50     for envkey in env_added:
ImportError: 
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.
We have compiled some common reasons and troubleshooting tips at:
https://numpy.org/devdocs/user/troubleshooting-importerror.html
Please note and check the following:
* The Python version is: Python3.9 from "/Users/steve/miniconda3/envs/python39/bin/python"
* The NumPy version is: "1.19.2"
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.
Original error was: dlopen(/Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so, 2): Library not loaded: @rpath/libopenblas.dylib
Referenced from: /Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so
Reason: image not found

我在macOS Catalina上。

通道混音:不兼容的二进制文件

一个可能的问题是通道混音。不同的通道通常使用不同的构建堆栈,这可能导致在链接库中引用不同的符号。在这种情况下,尝试确保所有内容都来自conda-forge,例如

conda install -c conda-forge conda-forge::numpy

长期来看,也许可以考虑添加conda-forge到全局通道配置并可能将优先级设置为"strict"。参见conda config --describe channels channel_priority。此外,--env标志可以用于以特定于环境的方式更改此类设置。

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