无sudo权限下Linux安装Boltztrap2遇两类问题求助

Hey there! Let's tackle these two installation problems one by one—since you don't have sudo privileges, we'll stick to user-space solutions that don't require modifying system files.

First: Resolve the "numpy is not installed" error for manual compilation #

Before even touching the Python.h issue, let's make sure numpy is installed in your user directory (no sudo needed):

pip3 install --user numpy

This installs numpy to ~/.local/lib/pythonX.Y/site-packages (replace X.Y with your Python version), which your user account can access without system permissions.

Second: Fix the "Python.h: No such file or directory" error #

This happens because the compiler can't find the Python header files when building the C extensions in BoltzTraP2. We can fix this by explicitly telling the compiler where to look for them, either via pip or manual setup.

Option 1: Install via pip with explicit include path #

First, find where your Python's include directory is located (this is where Python.h lives):

# Run this to get the correct include path
python3 -c "import sysconfig; print(sysconfig.get_path('include'))"

Then, pass this path to the compiler via the CFLAGS environment variable when running pip:

CFLAGS="-I$(python3 -c 'import sysconfig; print(sysconfig.get_path("include"))')" pip3 install --user BoltzTraP2

The --user flag ensures the package installs to your user directory instead of system-wide.

Option 2: Manual compilation with user-space setup #

If pip still fails, try building from source directly:

1. Grab the BoltzTraP2 source code (either clone the repo or download a release archive):

   git clone https://github.com/boltzmann-traps/BoltzTraP2.git
   cd BoltzTraP2
   

2. Again, specify the Python include path when running setup.py, and install to your user space:

   CFLAGS="-I$(python3 -c 'import sysconfig; print(sysconfig.get_path("include"))')" python3 setup.py install --user
   

Why this works #

The CFLAGS="-I/path/to/include" tells gcc to look in that directory for header files like Python.h. Since we're using --user for all installs, everything stays within your user account's directories, no sudo required.

内容的提问来源于stack exchange，提问作者Xivi76