This reduces the set of functions that need to be exported from the
shared library, which includes methods called from inlined functions
defined in header files.

Compilation of polyfit.cpp was failing with GCC on some systems with the
error: "second argument to '__builtin_prefetch' must be a constant"

This is a prerequisite to using Boost.DLL with the std::filesystem library.

This eliminates the need to directly link the Cantera shared library
or Cantera applications to libpython.

This version properly exports all necessary DLL symbols, eliminating the
need to embed it separately in the Cython module.

10.15 or newer is required for C++17 support

Broken in 97fc050

This requires copying the relevant MinGW runtime libraries into the
Python module.

Trying this to understand why this step can sometimes take
upwards of 8 minutes.

This is important because extensions can only be loaded correctly when
Cantera is linked as a shared library.

When the Python module is linked to the Cantera shared library,
it is possible that a user has multiple incompatible versions of
the library installed. This checks that the Cantera version and
Git commit are the same when importing the Python module, to avoid
crashes or erroneous behavior due to ABI mismatches.