MSSL compilation fixes

astro-informatics · Jul 25, 2024 · d78edb4 · d78edb4
1 parent a2ec0b5
commit d78edb4
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Showing 2 changed files with 6 additions and 5 deletions.
diff --git a/cpp/sopt/config.in.h b/cpp/sopt/config.in.h
@@ -24,6 +24,7 @@
 
 #include <string>
 #include <tuple>
+#include <cstdint>
 
 namespace sopt {
 

diff --git a/cpp/sopt/relative_variation.h b/cpp/sopt/relative_variation.h
@@ -40,7 +40,7 @@ class RelativeVariation {
   }
   //! Name that gets interpolated into the log's output
   std::string const &name() const { return name_; }
-  RelativeVariation const &name(std::string const &name) const {
+  RelativeVariation const &name(std::string const &name) {
     name_ = name;
     return *this;
   }
@@ -78,21 +78,21 @@ class ScalarRelativeVariation {
   //! Allowed variation
   Real relative_tolerance() const { return relative_tolerance_; }
   //! Allowed variation
-  RelativeVariation<Scalar> &relative_tolerance(Real &e) const {
+  RelativeVariation<Scalar> &relative_tolerance(Real &e) {
     relative_tolerance_ = e;
     return *this;
   }
   //! Allowed variation
   Real absolute_tolerance() const { return relative_tolerance_; }
   //! Allowed variation
-  RelativeVariation<Scalar> &absolute_tolerance(Real &e) const {
+  RelativeVariation<Scalar> &absolute_tolerance(Real &e) {
     absolute_tolerance_ = e;
     return *this;
   }
 
   //! Name that gets interpolated into the log's output
   std::string const &name() const { return name_; }
-  ScalarRelativeVariation const &name(std::string const &name) const {
+  ScalarRelativeVariation const &name(std::string const &name) {
     name_ = name;
     return *this;
   }
@@ -116,7 +116,7 @@ bool RelativeVariation<SCALAR>::operator()(Eigen::ArrayBase<T> const &input) {
   }
   auto const norm = (input - previous_).matrix().squaredNorm();
   previous_ = input;
-  SOPT_LOW_LOG("    - {} relative variation: {} <? {}", name(), std::sqrt(norm), tolerance());
+  SOPT_HIGH_LOG("    - {} relative variation: {} <? {}", name(), std::sqrt(norm), tolerance());
   return norm < tolerance() * tolerance();
 }