相关疑难解决方法(0)

我正在尝试通过 pip 在我的 64 位 ARMV8 板上安装 scipy。我已经安装了 scipy 所需的 openblas。所以，没有问题。当我给时pip3 install scipy --trusted-host pypi.org --trusted-host files.pythonhosted.org，我收到错误Failed building wheel for scipy。我有 pip3 和 pip3.5，/usr/bin其余的 pip 都在/usr/lib64/python3.5/site-packages。所以基本上，我也有 pip。

我还尝试使用--no-binary选项安装 scipy ，这是网络上的答案之一。但是，它给了我同样的错误。下面是我得到的错误。

错误：

Collecting scipy
  Downloading scipy-1.4.1.tar.gz (24.6 MB)
     |################################| 24.6 MB 6.6 MB/s 
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
    Preparing wheel metadata ... done
Building wheels for collected packages: scipy
  Building wheel for scipy (PEP …

安装manimce时出错，我一直在尝试在linux的windows子系统上安装manimce库，运行后

pip install manimce\nCollecting manimce\n  Downloading manimce-0.1.1.post2-py3-none-any.whl (249 kB)\n     |\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88| 249 kB 257 kB/s\nCollecting Pillow\n  Using cached Pillow-8.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\nCollecting scipy\n  Using cached scipy-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.3 MB)\nCollecting colour\n  Using cached colour-0.1.5-py2.py3-none-any.whl (23 kB)\nCollecting pangocairocffi<0.5.0,>=0.4.0\n  Downloading pangocairocffi-0.4.0.tar.gz (17 kB)\n  Preparing metadata (setup.py) ... done\nCollecting numpy\n  Using cached numpy-1.21.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)\nCollecting pydub\n  Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)\nCollecting pygments\n  Using cached Pygments-2.10.0-py3-none-any.whl (1.0 MB)\nCollecting cairocffi<2.0.0,>=1.1.0\n  Downloading cairocffi-1.3.0.tar.gz (88 kB)\n     |\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88| 88 kB 160 kB/s\n  Preparing metadata (setup.py) ... done\nCollecting tqdm\n  Using cached tqdm-4.62.3-py2.py3-none-any.whl …