* installing *source* package ‘rDppDiversity’ ...
** package ‘rDppDiversity’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
using SDK: ‘MacOSX13.3.sdk’
clang++ -std=gnu++17 -I"/Users/ripley/R/R-devel/include" -DNDEBUG  -I'/Users/ripley/R/Library/Rcpp/include' -isystem /opt/R/arm64/include    -fPIC  -g -O2 -Wall -pedantic -Wconversion -Wno-sign-conversion  -c DPPDiversity.cpp -o DPPDiversity.o
DPPDiversity.cpp:9:30: warning: implicit conversion loses integer precision: 'std::vector<std::vector<float>>::size_type' (aka 'unsigned long') to 'int' [-Wshorten-64-to-32]
    N = item_representations.size();
      ~ ~~~~~~~~~~~~~~~~~~~~~^~~~~~
DPPDiversity.cpp:12:33: warning: implicit conversion loses integer precision: 'std::vector<float>::size_type' (aka 'unsigned long') to 'int' [-Wshorten-64-to-32]
    d = item_representations[0].size();
      ~ ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
DPPDiversity.cpp:49:128: warning: implicit conversion loses floating-point precision: 'double' to 'float' [-Wimplicit-float-conversion]
            float curr_cond_prob = (corr_mat(last_added_elem,i) - dot_product(cond_prob_mp[last_added_elem], cond_prob_mp[i])) / (sqrt(corr_mat(last_added_elem, last_added_elem)) + 1e-4);
                  ~~~~~~~~~~~~~~   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from DPPDiversity.cpp:1:
In file included from ./DPPDiversity.h:8:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:33:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, 1, -1, true>>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 0>, -1, 1, true>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:149:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, 1, -1, true>>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 0>, -1, 1, true>>>' required here
  : public internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:78:10: note: in instantiation of template class 'Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, 1, -1, true>>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 0>, -1, 1, true>, Eigen::Dense>' requested here
  public CwiseBinaryOpImpl<
         ^
./deps/eigen-3.3.9/Eigen/src/Core/ProductEvaluators.h:578:40: note: in instantiation of template class 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, 1, -1, true>>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 0>, -1, 1, true>>' requested here
    return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/AssignEvaluator.h:631:58: note: (skipping 13 contexts in backtrace; use -ftemplate-backtrace-limit=0 to see all)
    m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
                                                         ^
./deps/eigen-3.3.9/Eigen/src/Core/AssignEvaluator.h:796:41: note: in instantiation of function template specialization 'Eigen::Matrix<float, -1, -1, 0>::Matrix<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, Eigen::Matrix<float, -1, -1, 0>, 0>>' requested here
  typename plain_matrix_type<Src>::type tmp(src);
                                        ^
./deps/eigen-3.3.9/Eigen/src/Core/AssignEvaluator.h:782:3: note: in instantiation of function template specialization 'Eigen::internal::call_assignment<Eigen::Matrix<float, -1, -1, 0>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, Eigen::Matrix<float, -1, -1, 0>, 0>, Eigen::internal::assign_op<float, float>>' requested here
  call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
  ^
./deps/eigen-3.3.9/Eigen/src/Core/PlainObjectBase.h:714:17: note: in instantiation of function template specialization 'Eigen::internal::call_assignment<Eigen::Matrix<float, -1, -1, 0>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, Eigen::Matrix<float, -1, -1, 0>, 0>>' requested here
      internal::call_assignment(this->derived(), other.derived());
                ^
./deps/eigen-3.3.9/Eigen/src/Core/Matrix.h:225:20: note: in instantiation of function template specialization 'Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0>>::_set<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, Eigen::Matrix<float, -1, -1, 0>, 0>>' requested here
      return Base::_set(other);
                   ^
DPPDiversity.cpp:23:14: note: in instantiation of function template specialization 'Eigen::Matrix<float, -1, -1, 0>::operator=<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1, 0>>, Eigen::Matrix<float, -1, -1, 0>, 0>>' requested here
    corr_mat = weighted_corr_mat.transpose() * weighted_corr_mat;
             ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
4 warnings generated.
clang++ -std=gnu++17 -I"/Users/ripley/R/R-devel/include" -DNDEBUG  -I'/Users/ripley/R/Library/Rcpp/include' -isystem /opt/R/arm64/include    -fPIC  -g -O2 -Wall -pedantic -Wconversion -Wno-sign-conversion  -c DppKernelModel.cpp -o DppKernelModel.o
In file included from DppKernelModel.cpp:1:
./DppKernelModel.h:23:93: warning: implicit conversion loses floating-point precision: 'double' to 'float' [-Wimplicit-float-conversion]
    explicit DppKernelModel(size_t num_items, size_t embedding_size, float regularization = 0.1): _num_items(num_items), _emb_size(embedding_size), _num_iter(0), _accumulate_log_likelihood(0), _regularization(regularization) {
                                                                                          ~ ^~~
In file included from DppKernelModel.cpp:1:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:33:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:149:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>>' required here
  : public internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:78:10: note: in instantiation of template class 'Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>, Eigen::Dense>' requested here
  public CwiseBinaryOpImpl<
         ^
./DppKernelModel.h:100:33: note: in instantiation of template class 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>' requested here
        *(grad) = label / det_Y * subset_kernel_mat.adjoint().transpose() * subset_item_mat;
                                ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
In file included from DppKernelModel.cpp:1:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:21:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:95:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>>' required here
  : public internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:55:29: note: in instantiation of template class 'Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>, Eigen::Dense>' requested here
class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
                            ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:523:22: note: in instantiation of template class 'Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>' requested here
    m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
                     ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:131:7: note: (skipping 1 context in backtrace; use -ftemplate-backtrace-limit=0 to see all)
      compute();
      ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:323:3: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::compute<Eigen::Matrix<float, -1, -1, 1>>' requested here
  compute(matrix.derived());
  ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:594:10: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>' requested here
  return PartialPivLU<PlainObject>(eval());
         ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:41:14: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::partialPivLu' requested here
    return m.partialPivLu().determinant();
             ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:96:83: note: in instantiation of member function 'Eigen::internal::determinant_impl<Eigen::Matrix<float, -1, -1, 1>, -1>::run' requested here
  return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
                                                                                  ^
./DppKernelModel.h:96:41: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::determinant' requested here
        float det_Y = subset_kernel_mat.determinant();
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
In file included from DppKernelModel.cpp:1:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:21:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:95:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>>' required here
  : public internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:55:29: note: in instantiation of template class 'Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' requested here
class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
                            ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:381:34: note: in instantiation of template class 'Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>' requested here
        = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
                                 ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:436:14: note: (skipping 4 contexts in backtrace; use -ftemplate-backtrace-limit=0 to see all)
      return unblocked_lu(lu, row_transpositions, nb_transpositions);
             ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:323:3: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::compute<Eigen::Matrix<float, -1, -1, 1>>' requested here
  compute(matrix.derived());
  ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:594:10: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>' requested here
  return PartialPivLU<PlainObject>(eval());
         ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:41:14: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::partialPivLu' requested here
    return m.partialPivLu().determinant();
             ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:96:83: note: in instantiation of member function 'Eigen::internal::determinant_impl<Eigen::Matrix<float, -1, -1, 1>, -1>::run' requested here
  return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
                                                                                  ^
./DppKernelModel.h:96:41: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::determinant' requested here
        float det_Y = subset_kernel_mat.determinant();
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
4 warnings generated.
clang++ -std=gnu++17 -I"/Users/ripley/R/R-devel/include" -DNDEBUG  -I'/Users/ripley/R/Library/Rcpp/include' -isystem /opt/R/arm64/include    -fPIC  -g -O2 -Wall -pedantic -Wconversion -Wno-sign-conversion  -c RDppDiversity.cpp -o RDppDiversity.o
RDppDiversity.cpp:18:25: warning: implicit conversion loses floating-point precision: 'typename storage_type<14>::type' (aka 'double') to 'std::vector<float>::value_type' (aka 'float') [-Wimplicit-float-conversion]
        ratingsCpp[i] = ratings[i];
                      ~ ^~~~~~~~~~
RDppDiversity.cpp:20:30: warning: implicit conversion loses floating-point precision: 'typename storage_type<14>::type' (aka 'double') to 'std::vector<float>::value_type' (aka 'float') [-Wimplicit-float-conversion]
            itemsCpp[i][j] = item_representations(i, j);
                           ~ ^~~~~~~~~~~~~~~~~~~~~~~~~~
RDppDiversity.cpp:25:24: warning: implicit conversion loses integer precision: 'std::vector<std::pair<int, float>>::size_type' (aka 'unsigned long') to 'int' [-Wshorten-64-to-32]
    int valid_n = res->size();
        ~~~~~~~   ~~~~~^~~~~~
In file included from RDppDiversity.cpp:1:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp.h:40:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp/Vector.h:58:
/Users/ripley/R/Library/Rcpp/include/Rcpp/vector/Matrix.h:138:76: warning: implicit conversion loses integer precision: 'const size_t' (aka 'const unsigned long') to 'int' [-Wshorten-64-to-32]
      return static_cast< Vector<RTYPE>* >( this )->operator[]( offset( i, j ) ) ;
                                                                ~~~~~~     ^
RDppDiversity.cpp:20:50: note: in instantiation of member function 'Rcpp::Matrix<14>::operator()' requested here
            itemsCpp[i][j] = item_representations(i, j);
                                                 ^
In file included from RDppDiversity.cpp:1:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp.h:40:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp/Vector.h:58:
/Users/ripley/R/Library/Rcpp/include/Rcpp/vector/Matrix.h:138:73: warning: implicit conversion loses integer precision: 'const size_t' (aka 'const unsigned long') to 'int' [-Wshorten-64-to-32]
      return static_cast< Vector<RTYPE>* >( this )->operator[]( offset( i, j ) ) ;
                                                                ~~~~~~  ^
5 warnings generated.
clang++ -std=gnu++17 -I"/Users/ripley/R/R-devel/include" -DNDEBUG  -I'/Users/ripley/R/Library/Rcpp/include' -isystem /opt/R/arm64/include    -fPIC  -g -O2 -Wall -pedantic -Wconversion -Wno-sign-conversion  -c RDppLearnItemEmb.cpp -o RDppLearnItemEmb.o
In file included from RDppLearnItemEmb.cpp:2:
./DppKernelModel.h:23:93: warning: implicit conversion loses floating-point precision: 'double' to 'float' [-Wimplicit-float-conversion]
    explicit DppKernelModel(size_t num_items, size_t embedding_size, float regularization = 0.1): _num_items(num_items), _emb_size(embedding_size), _num_iter(0), _accumulate_log_likelihood(0), _regularization(regularization) {
                                                                                          ~ ^~~
In file included from RDppLearnItemEmb.cpp:2:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:33:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:149:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>>' required here
  : public internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseBinaryOp.h:78:10: note: in instantiation of template class 'Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>, Eigen::Dense>' requested here
  public CwiseBinaryOpImpl<
         ^
./DppKernelModel.h:100:33: note: in instantiation of template class 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1>>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1>>>>' requested here
        *(grad) = label / det_Y * subset_kernel_mat.adjoint().transpose() * subset_item_mat;
                                ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_product_op<float> (const float &, const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
RDppLearnItemEmb.cpp:25:33: warning: implicit conversion loses integer precision: 'size_t' (aka 'unsigned long') to 'const int' [-Wshorten-64-to-32]
    Rcpp::NumericMatrix itemEmb(num_items, emb_size);
                        ~~~~~~~ ^~~~~~~~~
In file included from RDppLearnItemEmb.cpp:2:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:21:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:95:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>>' required here
  : public internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:55:29: note: in instantiation of template class 'Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>, Eigen::Dense>' requested here
class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
                            ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:523:22: note: in instantiation of template class 'Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1, 1>>' requested here
    m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
                     ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:131:7: note: (skipping 1 context in backtrace; use -ftemplate-backtrace-limit=0 to see all)
      compute();
      ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:323:3: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::compute<Eigen::Matrix<float, -1, -1, 1>>' requested here
  compute(matrix.derived());
  ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:594:10: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>' requested here
  return PartialPivLU<PlainObject>(eval());
         ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:41:14: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::partialPivLu' requested here
    return m.partialPivLu().determinant();
             ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:96:83: note: in instantiation of member function 'Eigen::internal::determinant_impl<Eigen::Matrix<float, -1, -1, 1>, -1>::run' requested here
  return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
                                                                                  ^
./DppKernelModel.h:96:41: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::determinant' requested here
        float det_Y = subset_kernel_mat.determinant();
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_abs_op<float> (const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
In file included from RDppLearnItemEmb.cpp:2:
In file included from ./DppKernelModel.h:14:
In file included from ./deps/eigen-3.3.9/Eigen/Core:367:
./deps/eigen-3.3.9/Eigen/src/Core/util/Meta.h:320:25: warning: 'result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' is deprecated [-Wdeprecated-declarations]
  typedef typename std::result_of<T>::type type1;
                        ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:21:20: note: in instantiation of template class 'Eigen::internal::result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' requested here
  typedef typename result_of<
                   ^
./deps/eigen-3.3.9/Eigen/src/Core/util/XprHelper.h:497:56: note: in instantiation of template class 'Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>>' requested here
template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
                                                       ^
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:95:22: note: in instantiation of default argument for 'generic_xpr_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>>' required here
  : public internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./deps/eigen-3.3.9/Eigen/src/Core/CwiseUnaryOp.h:55:29: note: in instantiation of template class 'Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' requested here
class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
                            ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:381:34: note: in instantiation of template class 'Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 0>, -1, -1, false>, -1, 1, false>, -1, 1, false>>' requested here
        = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
                                 ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:436:14: note: (skipping 4 contexts in backtrace; use -ftemplate-backtrace-limit=0 to see all)
      return unblocked_lu(lu, row_transpositions, nb_transpositions);
             ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:323:3: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::compute<Eigen::Matrix<float, -1, -1, 1>>' requested here
  compute(matrix.derived());
  ^
./deps/eigen-3.3.9/Eigen/src/LU/PartialPivLU.h:594:10: note: in instantiation of function template specialization 'Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>::PartialPivLU<Eigen::Matrix<float, -1, -1, 1>>' requested here
  return PartialPivLU<PlainObject>(eval());
         ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:41:14: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::partialPivLu' requested here
    return m.partialPivLu().determinant();
             ^
./deps/eigen-3.3.9/Eigen/src/LU/Determinant.h:96:83: note: in instantiation of member function 'Eigen::internal::determinant_impl<Eigen::Matrix<float, -1, -1, 1>, -1>::run' requested here
  return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
                                                                                  ^
./DppKernelModel.h:96:41: note: in instantiation of member function 'Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1>>::determinant' requested here
        float det_Y = subset_kernel_mat.determinant();
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/type_traits:578:34: note: 'result_of<Eigen::internal::scalar_score_coeff_op<float> (const float &)>' has been explicitly marked deprecated here
template <class _Callable> class _LIBCPP_DEPRECATED_IN_CXX17 result_of;
                                 ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:837:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
#    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
                                        ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/c++/v1/__config:810:49: note: expanded from macro '_LIBCPP_DEPRECATED'
#      define _LIBCPP_DEPRECATED __attribute__((deprecated))
                                                ^
In file included from RDppLearnItemEmb.cpp:1:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp.h:40:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp/Vector.h:58:
/Users/ripley/R/Library/Rcpp/include/Rcpp/vector/Matrix.h:138:76: warning: implicit conversion loses integer precision: 'const size_t' (aka 'const unsigned long') to 'int' [-Wshorten-64-to-32]
      return static_cast< Vector<RTYPE>* >( this )->operator[]( offset( i, j ) ) ;
                                                                ~~~~~~     ^
RDppLearnItemEmb.cpp:29:20: note: in instantiation of member function 'Rcpp::Matrix<14>::operator()' requested here
            itemEmb(i, j) = item_emb(i, j);
                   ^
In file included from RDppLearnItemEmb.cpp:1:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp.h:40:
In file included from /Users/ripley/R/Library/Rcpp/include/Rcpp/Vector.h:58:
/Users/ripley/R/Library/Rcpp/include/Rcpp/vector/Matrix.h:138:73: warning: implicit conversion loses integer precision: 'const size_t' (aka 'const unsigned long') to 'int' [-Wshorten-64-to-32]
      return static_cast< Vector<RTYPE>* >( this )->operator[]( offset( i, j ) ) ;
                                                                ~~~~~~  ^
7 warnings generated.
clang++ -std=gnu++17 -I"/Users/ripley/R/R-devel/include" -DNDEBUG  -I'/Users/ripley/R/Library/Rcpp/include' -isystem /opt/R/arm64/include    -fPIC  -g -O2 -Wall -pedantic -Wconversion -Wno-sign-conversion  -c RcppExports.cpp -o RcppExports.o
clang++ -std=gnu++17 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Users/ripley/R/R-devel/lib -L/opt/R/arm64/lib -o rDppDiversity.so DPPDiversity.o DppKernelModel.o RDppDiversity.o RDppLearnItemEmb.o RcppExports.o -L/Users/ripley/R/R-devel/lib -lR -Wl,-framework -Wl,CoreFoundation
installing to /Users/ripley/R/packages/tests-devel/rDppDiversity.Rcheck/00LOCK-rDppDiversity/00new/rDppDiversity/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rDppDiversity)