Rebuild for libboost 1.82

[regro-cf-autotick-bot]

This PR has been triggered in an effort to update boost_cpp_to_libboost.

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[conda-forge-webservices]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

[h-vetinari]

[2/5] Building CXX object pythermo\CMakeFiles\pythermo_core.dir\src\ideal_gas.cpp.obj
FAILED: pythermo/CMakeFiles/pythermo_core.dir/src/ideal_gas.cpp.obj 
C:\PROGRA~1\MICROS~2\2022\ENTERP~1\VC\Tools\MSVC\1429~1.301\bin\HostX64\x64\cl.exe  /nologo /TP -DLIBTHERMO_USE_XTENSOR -DNOMINMAX -DXTENSOR_USE_TBB -DXTENSOR_USE_XSIMD -Dpythermo_core_EXPORTS -ID:\bld\libthermo_1696244660086\_h_env\lib\site-packages\numpy\core\include -ID:\bld\libthermo_1696244660086\work\include -external:ID:\bld\libthermo_1696244660086\_h_env\Library\include -external:ID:\bld\libthermo_1696244660086\_h_env\include -external:W0 /DWIN32 /D_WINDOWS /W3 /GR /EHsc /MD /O2 /Ob2 /DNDEBUG -std:c++17 /GL /bigobj /MP /showIncludes /Fopythermo\CMakeFiles\pythermo_core.dir\src\ideal_gas.cpp.obj /Fdpythermo\CMakeFiles\pythermo_core.dir\ /FS -c D:\bld\libthermo_1696244660086\work\pythermo\src\ideal_gas.cpp
D:\bld\libthermo_1696244660086\_h_env\Library\include\xtensor\xassign.hpp(1256): error C3493: 'needs_cast' cannot be implicitly captured because no default capture mode has been specified
D:\bld\libthermo_1696244660086\_h_env\Library\include\xtensor\xassign.hpp(1343): note: see reference to function template instantiation 'void xt::strided_loop_assigner<true>::run<E1,E2>(E1 &,const E2 &,const xt::strided_loop_assigner<true>::loop_sizes_t &)' being compiled
        with
        [
            E1=xt::pyarray<double,xt::layout_type::row_major>,
            E2=xt::xfunction<xt::detail::divides,xt::xfunction<xt::detail::multiplies,xt::xscalar<double>,xt::xfunction<xt::math::log_fun,xt::xfunction<xt::detail::divides,const xt::pyarray<double,xt::layout_type::row_major> &,const xt::pyarray<double,xt::layout_type::row_major> &>>>,xt::xfunction<xt::math::log_fun,xt::xfunction<xt::detail::divides,const xt::pyarray<double,xt::layout_type::row_major> &,const xt::pyarray<double,xt::layout_type::row_major> &>>>
        ]

[h-vetinari]

Based on this SO, it sounds like we need to add [&] to a lambda somewhere.

CC @adriendelsalle

[adriendelsalle]

Hi! Looks like it's a msvc bug, already spotted upstream on xtensor issue