Failed building wheel for numpy

[sarbogast]

When trying to run the second cell of the "is it a bird?" notebook, the one that installs fastai and duckduckgo_search, I get the following error log:

error: subprocess-exited-with-error
  
  × pip subprocess to install build dependencies did not run successfully.
  │ exit code: 1
  ╰─> [2998 lines of output]
      Ignoring numpy: markers 'python_version == "3.6" and platform_system != "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.7" and platform_system != "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.6" and platform_system == "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.7" and platform_system == "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version >= "3.8" and platform_system == "AIX"' don't match your environment
      Collecting wheel
        Using cached wheel-0.44.0-py3-none-any.whl.metadata (2.3 kB)
      Collecting setuptools
        Using cached setuptools-75.1.0-py3-none-any.whl.metadata (6.9 kB)
      Collecting Cython>=0.29.18
        Using cached Cython-3.0.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB)
      Collecting numpy==1.17.3
        Using cached numpy-1.17.3.zip (6.4 MB)
        Preparing metadata (setup.py): started
        Preparing metadata (setup.py): finished with status 'done'
      Collecting pybind11>=2.4.3
        Using cached pybind11-2.13.6-py3-none-any.whl.metadata (9.5 kB)
      Using cached wheel-0.44.0-py3-none-any.whl (67 kB)
      Using cached setuptools-75.1.0-py3-none-any.whl (1.2 MB)
      Using cached Cython-3.0.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
      Using cached pybind11-2.13.6-py3-none-any.whl (243 kB)
      Building wheels for collected packages: numpy
        Building wheel for numpy (setup.py): started
        Building wheel for numpy (setup.py): still running...
        Building wheel for numpy (setup.py): finished with status 'error'
        error: subprocess-exited-with-error
      
        × python setup.py bdist_wheel did not run successfully.
        │ exit code: 1
        ╰─> [2941 lines of output]
            Running from numpy source directory.
            blas_opt_info:
            blas_mkl_info:
            customize UnixCCompiler
              FOUND:
                libraries = ['mkl_rt', 'pthread']
                library_dirs = ['/opt/conda/lib']
                define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
                include_dirs = ['/usr/local/include', '/usr/include', '/opt/conda/include']
           
              FOUND:
                libraries = ['mkl_rt', 'pthread']
                library_dirs = ['/opt/conda/lib']
                define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
                include_dirs = ['/usr/local/include', '/usr/include', '/opt/conda/include']
           
            /bin/sh: 1: svnversion: not found
            non-existing path in 'numpy/distutils': 'site.cfg'
            lapack_opt_info:
            lapack_mkl_info:
            customize UnixCCompiler
              FOUND:
                libraries = ['mkl_rt', 'pthread']
                library_dirs = ['/opt/conda/lib']
                define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
                include_dirs = ['/usr/local/include', '/usr/include', '/opt/conda/include']
           
              FOUND:
                libraries = ['mkl_rt', 'pthread']
                library_dirs = ['/opt/conda/lib']
                define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
                include_dirs = ['/usr/local/include', '/usr/include', '/opt/conda/include']
           
 ...
      
        note: This error originates from a subprocess, and is likely not a problem with pip.
        ERROR: Failed building wheel for numpy
        Running setup.py clean for numpy
        error: subprocess-exited-with-error
      
        × python setup.py clean did not run successfully.
        │ exit code: 1
        ╰─> [10 lines of output]
            Running from numpy source directory.
           
            `setup.py clean` is not supported, use one of the following instead:
           
              - `git clean -xdf` (cleans all files)
              - `git clean -Xdf` (cleans all versioned files, doesn't touch
                                  files that aren't checked into the git repo)
           
            Add `--force` to your command to use it anyway if you must (unsupported).
           
            [end of output]
      
        note: This error originates from a subprocess, and is likely not a problem with pip.
        ERROR: Failed cleaning build dir for numpy
      Failed to build numpy
      ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
      
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

I'm guessing it's more of a kaggle environment issue because I'm able to run the same code without any issue on Google Colab. But since the course only references Kaggle, I thought it would be useful to mention it here.