Ah, that sounds familiar. I have a small bit of experience with Boost. I could be wrong, because once you start mixing it up with Boost all sortsof weird things can happen (especially on a MS compiler, because no one tests for Windows, let alone a pay-for compiler) but my experience has shown that if you get that specific import error, what it actually means is just that the PYD import failed for ANY reason. It has nothing to do with the name or that the PYD couldn't be found. Just that somewhere, at some time during import, it failed to fully load.
In my use a lot of times it was either that a DLL that module depended on wasn't in the path, or my favorite kicker, that some compile/link flags between the PYD and the Python interpreter don't match well enough. (Usually from mixing debug and release builds together.)
From what I've seen anyway, the Python interpreter really doesn't like being built in a traditional debug mode, so I always do a release build of it. It's a little inconvenient, but in the linker flags you can still set your PYDs to generate debug information even in release builds, so you can still run the debugger on them when you attach to the process of the python interpreter EXE. And especially be sure to use the RELEASE runtime libraryflag (such as /MD) instead of the debug flag (such as /MDd).
That's as much as I know anyway. Though depending, if you add any new templates/libraries into Boost (such as for NumPy ndarray), you also may need to use the /DBOOST_ALL_NO_LIB compiler macro on an MS compiler because MSdoesn't adhere to template standards correctly and you often end up with multiply-defined functions if you don't use that macro. If I remember correctly. (It's been a while.)
That and you may be picking up variable length arrays out of your teeth,replacing chunks of code with the use of new and delete operators. No onetests for Microsoft and the MS compiler is way behind in adhering to C/C++standards, and VLAs pop up a lot.
Hopefully something in all of this helped. Boost can be ... daunting. I get it, in theory. But in practice it often hurts my head.
Sincerely,
Arah Leonard