a usage of std::inner_product

Author: maki49

source/module_lr/esolver_lrtd_lcao.cpp

@@ -105,6 +105,7 @@ void LR::ESolver_LR<T, TR>::set_dimension()
     if (input.ri_hartree_benchmark == "aims" && !input.aims_nbasis.empty())
     {
         this->nbasis = [&]() -> int { int nbas = 0; for (int it = 0;it < ucell.ntype;++it) { nbas += ucell.atoms[it].na * input.aims_nbasis[it]; };return nbas;}();
+        this->nbasis = std::inner_product(input.aims_nbasis.begin(), input.aims_nbasis.end(), ucell.atoms, 0, std::plus<int>(), [](const int& a, const Atom& b) { return a * b.na; });
         std::cout << "nbasis from aims: " << this->nbasis << std::endl;
     }
 }

source/module_lr/potentials/xc_kernel.cpp

@@ -37,7 +37,7 @@ void LR::KernelXC::f_xc_libxc(const int& nspin, const double& omega, const doubl
 
     // -----------------------------------------------------------------------------------
     // for GGA
-    const bool is_gga = std::any_of(funcs.begin(), funcs.end(), [](const xc_func_type& f) { f.info->family == XC_FAMILY_GGA || f.info->family == XC_FAMILY_HYB_GGA; });
+    const bool is_gga = std::any_of(funcs.begin(), funcs.end(), [](const xc_func_type& f)->bool { return f.info->family == XC_FAMILY_GGA || f.info->family == XC_FAMILY_HYB_GGA; });
 
     std::vector<std::vector<ModuleBase::Vector3<double>>> gradrho;  // \nabla \rho
     std::vector<double> sigma;  // |\nabla\rho|^2