2

在我的项目中，我使用的是安装了 Ubuntu 21.04 的 Raspberry PI 4 (aarch64)。

我正在使用 ：

- Pycharm作为我的 Python IDE

- Miniforge3拥有conda 环境

我想安装库getfem++和pyvista来运行这个例子： https ://getfem-examples.readthedocs.io/en/latest/demo_unit_disk.html

1) GETFEM++

我已经使用命令安装了 getfem++ sudo aptitude install python3-getfem++--> 它可以工作

2）Pyvista

-With pip install pyvista: 错误，似乎与我未能安装的 vtk 有依赖关系。

pip install pyvista
Collecting pyvista
  Using cached pyvista-0.30.1-py3-none-any.whl (1.2 MB)
Collecting appdirs
  Using cached appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
Collecting scooby>=0.5.1
  Using cached scooby-0.5.7-py3-none-any.whl (13 kB)
Collecting meshio<5.0,>=4.0.3
  Using cached meshio-4.4.3-py3-none-any.whl (153 kB)
Requirement already satisfied: imageio in ./.local/lib/python3.9/site-packages (from pyvista) (2.9.0)
Requirement already satisfied: pillow in /usr/lib/python3/dist-packages (from pyvista) (8.1.2)
Collecting pyvista
  Using cached pyvista-0.30.0-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.29.1-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.29.0-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.28.1-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.28.0-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.27.4-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.27.3-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.27.2-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.27.1-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.27.0-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.26.1-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.26.0-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.25.3-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.25.2-py3-none-any.whl (1.2 MB)
  Using cached pyvista-0.25.1.tar.gz (1.2 MB)
Requirement already satisfied: numpy in ./.local/lib/python3.9/site-packages (from pyvista) (1.20.3)
  Using cached pyvista-0.24.3.tar.gz (1.2 MB)
  Using cached pyvista-0.24.2.tar.gz (1.2 MB)
  Using cached pyvista-0.24.1.tar.gz (1.2 MB)
  Using cached pyvista-0.24.0.tar.gz (1.2 MB)
  Using cached pyvista-0.23.1.tar.gz (1.2 MB)
  Using cached pyvista-0.23.0.tar.gz (1.2 MB)
  Using cached pyvista-0.22.4.tar.gz (1.2 MB)
  Using cached pyvista-0.22.2.tar.gz (1.2 MB)
  Using cached pyvista-0.22.1.tar.gz (1.2 MB)
  Using cached pyvista-0.22.0.tar.gz (1.2 MB)
  Using cached pyvista-0.21.4.tar.gz (1.1 MB)
  Using cached pyvista-0.21.3.tar.gz (1.1 MB)
  Using cached pyvista-0.21.2.tar.gz (1.1 MB)
  Using cached pyvista-0.21.1.tar.gz (1.1 MB)
  Using cached pyvista-0.21.0.tar.gz (1.1 MB)
  Using cached pyvista-0.20.4.tar.gz (1.1 MB)
  Using cached pyvista-0.20.3.tar.gz (1.1 MB)
  Using cached pyvista-0.20.2.tar.gz (1.1 MB)
  Using cached pyvista-0.20.1.tar.gz (1.1 MB)
  Using cached pyvista-0.20.0.tar.gz (1.1 MB)
ERROR: Cannot install pyvista==0.20.0, pyvista==0.20.1, pyvista==0.20.2, pyvista==0.20.3, pyvista==0.20.4, pyvista==0.21.0, pyvista==0.21.1, pyvista==0.21.2, pyvista==0.21.3, pyvista==0.21.4, pyvista==0.22.0, pyvista==0.22.1, pyvista==0.22.2, pyvista==0.22.4, pyvista==0.23.0, pyvista==0.23.1, pyvista==0.24.0, pyvista==0.24.1, pyvista==0.24.2, pyvista==0.24.3, pyvista==0.25.1, pyvista==0.25.2, pyvista==0.25.3, pyvista==0.26.0, pyvista==0.26.1, pyvista==0.27.0, pyvista==0.27.1, pyvista==0.27.2, pyvista==0.27.3, pyvista==0.27.4, pyvista==0.28.0, pyvista==0.28.1, pyvista==0.29.0, pyvista==0.29.1, pyvista==0.30.0 and pyvista==0.30.1 because these package versions have conflicting dependencies.

The conflict is caused by:
    pyvista 0.30.1 depends on vtk
    pyvista 0.30.0 depends on vtk
    pyvista 0.29.1 depends on vtk
    pyvista 0.29.0 depends on vtk
    pyvista 0.28.1 depends on vtk
    pyvista 0.28.0 depends on vtk
    pyvista 0.27.4 depends on vtk
    pyvista 0.27.3 depends on vtk
    pyvista 0.27.2 depends on vtk
    pyvista 0.27.1 depends on vtk
    pyvista 0.27.0 depends on vtk
    pyvista 0.26.1 depends on vtk
    pyvista 0.26.0 depends on vtk
    pyvista 0.25.3 depends on vtk
    pyvista 0.25.2 depends on vtk
    pyvista 0.25.1 depends on vtk
    pyvista 0.24.3 depends on vtk
    pyvista 0.24.2 depends on vtk
    pyvista 0.24.1 depends on vtk
    pyvista 0.24.0 depends on vtk
    pyvista 0.23.1 depends on vtk
    pyvista 0.23.0 depends on vtk
    pyvista 0.22.4 depends on vtk
    pyvista 0.22.2 depends on vtk
    pyvista 0.22.1 depends on vtk
    pyvista 0.22.0 depends on vtk
    pyvista 0.21.4 depends on vtk
    pyvista 0.21.3 depends on vtk
    pyvista 0.21.2 depends on vtk
    pyvista 0.21.1 depends on vtk
    pyvista 0.21.0 depends on vtk
    pyvista 0.20.4 depends on vtk
    pyvista 0.20.3 depends on vtk
    pyvista 0.20.2 depends on vtk
    pyvista 0.20.1 depends on vtk
    pyvista 0.20.0 depends on vtk

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

- 使用conda环境（来自 miniforge3）：pyvista 可以毫无困难地安装。

在这一点上，我问自己是否可以使用 conda 环境并将路径添加到 Pycharm 中的 getfem++ 库？

我在其中创建了一个.pth文件/home/alban/miniforge3/envs/Conda_PY39/lib/python3.9/site-packages：

/usr/lib/python3.9/dist-packages
/usr/lib/python3/dist-packages
/lib/python3/dist-packages
/lib/python3.9/dist-packages

有了这个，我似乎检测到“getfem”和“pyvista”，但我收到了这个错误：

/home/alban/miniforge3/envs/Conda_PY39/bin/python /home/alban/PycharmProjects/pythonProject/main.py
Traceback (most recent call last):
  File "/home/alban/PycharmProjects/pythonProject/main.py", line 1, in <module>
    import getfem as gf
  File "/usr/lib/python3/dist-packages/getfem/__init__.py", line 16, in <module>
    from .getfem import *
  File "/usr/lib/python3/dist-packages/getfem/getfem.py", line 44, in <module>
    from ._getfem import *
ImportError: /home/alban/miniforge3/envs/Conda_PY39/bin/../lib/libgfortran.so.5: version `GFORTRAN_10' not found (required by /lib/aarch64-linux-gnu/libdmumps_seq-5.3.so)

Process finished with exit code 1

我真的不知道还有什么可以尝试的建议？

4

1 回答 1

2

我成功在 Rpi4 上安装了 getfem++ 和 pyvista（没有 conda）。

我在这个github 讨论结束时发布了我的方法

希望它会帮助你！

我采取的步骤的简要列表（在链接的讨论中有详细信息）：

  1. 安装 Ubuntu 20.04 以获得 Python 3.8.6。
  2. python3-getfem++用 apt安装
  3. 从源代码构建 vtk，因为 Rpi4 使用的 arm64 架构没有轮子
  4. 使用开关安装 PyVista 以--no-dependencies使用手动安装的依赖项
  5. 手动安装 PyVista 的其他依赖项（如果不想在 PyVista 中查找依赖项，则使用 PC 和 pip 将 pyvista 安装到新的 virtualenv 可以帮助收集setup.py依赖项）
  6. 安装软件包（尤其是xvfb）以获得用于绘图的虚拟帧缓冲区。
于 2021-05-26T09:23:09.443 回答