Implement Python function to print qdk-chemistry build information

[lorisercole]

It would be nice to provide a Python function that shows how the package was built. In particular:

• compilers used, flags, target microarchitecture, ...
• machine information
• BLAS/LAPACK/etc library dependencies

I'm thinking of an equivalent of numpy.show_config(), that returns the following:

Build Dependencies:
  blas:
    detection method: pkgconfig
    found: true
    include directory: /opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/include
    lib directory: /opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/lib
    name: scipy-openblas
    openblas configuration: OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY
      Haswell MAX_THREADS=64
    pc file directory: /project/.openblas
    version: 0.3.30
  lapack:
    detection method: pkgconfig
    found: true
    include directory: /opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/include
    lib directory: /opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/lib
    name: scipy-openblas
    openblas configuration: OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY
      Haswell MAX_THREADS=64
    pc file directory: /project/.openblas
    version: 0.3.30
Compilers:
  c:
    commands: cc
    linker: ld.bfd
    name: gcc
    version: 14.2.1
  c++:
    commands: c++
    linker: ld.bfd
    name: gcc
    version: 14.2.1
  cython:
    commands: cython
    linker: cython
    name: cython
    version: 3.2.1
Machine Information:
  build:
    cpu: x86_64
    endian: little
    family: x86_64
    system: linux
  host:
    cpu: x86_64
    endian: little
    family: x86_64
    system: linux
Python Information:
  path: /tmp/build-env-w_be3r90/bin/python
  version: '3.13'
SIMD Extensions:
  baseline:
  - SSE
  - SSE2
  - SSE3
  found:
  - SSSE3
  - SSE41
  - POPCNT
  - SSE42
  - AVX
  - F16C
  - FMA3
  - AVX2
  not found:
  - AVX512F
  - AVX512CD
  - AVX512_KNL
  - AVX512_KNM
  - AVX512_SKX
  - AVX512_CLX
  - AVX512_CNL
  - AVX512_ICL
  - AVX512_SPR

Expect for the SIMD section, this information is generated at build time and stored as a dict in numpy/__config__.py.