numpy - 康达包错误？二进制不兼容

问题描述

我在一个没有root访问权限的系统上的远程Jupyter笔记本上工作，甚至没有一个可以进行许多调整的shell。我可以从 Conda 的存档中检索包并在安装这样的包的笔记本单元中运行函数

!conda install /path/to/package-vvv.tar.bz2

我遇到了我猜错版本号的情况，安装了不兼容的东西。错误消息就像我在下面生成的错误消息，numpy 或 mkl 中的二进制不兼容。

现在，我在拥有管理员访问权限的 Ubuntu 20.10 笔记本上重新跟踪问题。我有一个可重现的问题要展示和分享。

使用相同版本的 python、numpy 和 pandas 创建一个环境，就像我们在远程机器上一样：

$ conda create -n cenv-py368 python=3.6.8 pandas=1.1.2 numpy=1.15.4
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.12
  latest version: 4.9.2

Please update conda by running

    $ conda update -n base -c defaults conda

## Package Plan ##

  environment location: /home/pauljohn/LinuxDownloads/miniconda3/envs/cenv-py368

  added / updated specs:
    - numpy=1.15.4
    - pandas=1.1.2
    - python=3.6.8


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    libffi-3.2.1               |    hf484d3e_1007          52 KB
    python-3.6.8               |       h0371630_0        34.4 MB
    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    blas-1.0                   |              mkl           6 KB
    _libgcc_mutex-0.1          |             main           3 KB
    ------------------------------------------------------------
                                           Total:        46.6 MB

The following NEW packages will be INSTALLED:

    _libgcc_mutex:   0.1-main
    blas:            1.0-mkl
    ca-certificates: 2021.1.19-h06a4308_0
    certifi:         2020.12.5-py36h06a4308_0
    intel-openmp:    2020.2-254
    libedit:         3.1.20191231-h14c3975_1
    libffi:          3.2.1-hf484d3e_1007
    libgcc-ng:       9.1.0-hdf63c60_0
    libgfortran-ng:  7.3.0-hdf63c60_0
    libstdcxx-ng:    9.1.0-hdf63c60_0
    mkl:             2020.2-256
    mkl-service:     2.3.0-py36he8ac12f_0
    mkl_fft:         1.2.0-py36h23d657b_0
    mkl_random:      1.1.1-py36h0573a6f_0
    ncurses:         6.2-he6710b0_1
    numpy:           1.15.4-py36h7e9f1db_0
    numpy-base:      1.15.4-py36hde5b4d6_0
    openssl:         1.1.1i-h27cfd23_0
    pandas:          1.1.2-py36he6710b0_0
    pip:             20.3.3-py36h06a4308_0
    python:          3.6.8-h0371630_0
    python-dateutil: 2.8.1-pyhd3eb1b0_0
    pytz:            2021.1-pyhd3eb1b0_0
    readline:        7.0-h7b6447c_5
    setuptools:      52.0.0-py36h06a4308_0
    six:             1.15.0-pyhd3eb1b0_0
    sqlite:          3.33.0-h62c20be_0
    tk:              8.6.10-hbc83047_0
    wheel:           0.36.2-pyhd3eb1b0_0
    xz:              5.2.5-h7b6447c_0
    zlib:            1.2.11-h7b6447c_3

Proceed ([y]/n)? y


Downloading and Extracting Packages
libffi-3.2.1         | 52 KB     | ##################################### | 100%
python-3.6.8         | 34.4 MB   | ##################################### | 100%
libgcc-ng-9.1.0      | 8.1 MB    | ##################################### | 100%
libstdcxx-ng-9.1.0   | 4.0 MB    | ##################################### | 100%
blas-1.0             | 6 KB      | ##################################### | 100%
_libgcc_mutex-0.1    | 3 KB      | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate cenv-py368
#
# To deactivate an active environment, use
#
#     $ conda deactivate

激活那个环境。
例如，安装名为“fastparquet”的包：

(cenv-py368) $ conda install fastparquet
Solving environment: done

==> WARNING: A newer version of conda exists. <==
  current version: 4.5.12
  latest version: 4.9.2

Please update conda by running

    $ conda update -n base -c defaults conda


## Package Plan ##

  environment location: /home/pauljohn/LinuxDownloads/miniconda3/envs/cenv-py368

  added / updated specs:
    - fastparquet

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    pyparsing-2.4.7            |     pyhd3eb1b0_0          59 KB
    packaging-20.9             |     pyhd3eb1b0_0          35 KB
    ------------------------------------------------------------
                                           Total:          95 KB

The following NEW packages will be INSTALLED:

    fastparquet: 0.5.0-py36h6323ea4_1
    libllvm10:   10.0.1-hbcb73fb_5
    llvmlite:    0.34.0-py36h269e1b5_4
    numba:       0.51.2-py36h0573a6f_1
    packaging:   20.9-pyhd3eb1b0_0
    pyparsing:   2.4.7-pyhd3eb1b0_0
    thrift:      0.11.0-py36hf484d3e_0

Proceed ([y]/n)? y


Downloading and Extracting Packages
pyparsing-2.4.7      | 59 KB     | ##################################### | 100%
packaging-20.9       | 35 KB     | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

观察导入失败

(cenv-py368) $ python
Python 3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import fastparquet
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/pauljohn/LinuxDownloads/miniconda3/envs/cenv-py368/lib/python3.6/site-packages/fastparquet/__init__.py", line 5, in <module>
    from .core import read_thrift
  File "/home/pauljohn/LinuxDownloads/miniconda3/envs/cenv-py368/lib/python3.6/site-packages/fastparquet/core.py", line 9, in <module>
    from . import encoding
  File "/home/pauljohn/LinuxDownloads/miniconda3/envs/cenv-py368/lib/python3.6/site-packages/fastparquet/encoding.py", line 13, in <module>
    from .speedups import unpack_byte_array
  File "fastparquet/speedups.pyx", line 1, in init fastparquet.speedups
ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216 from C header, got 192 from PyObject
>>> AA

你同意我发现了一个错误吗？

似乎 Conda 应该可以工作，或者应该说没有兼容的 fastparquet 版本。

标签： numpypython-3.6condafastparquet

numpy - 康达包错误？二进制不兼容

问题描述

解决方案

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