ortools: cleanup export form google3

ortools/base/dump_vars.h

@@ -43,12 +43,10 @@
 #include <ostream>
 #include <sstream>
 #include <string>
-#include <type_traits>
 #include <utility>
 #include <vector>
 
 #include "absl/container/inlined_vector.h"
-#include "ortools/base/strong_int.h"
 #include "ortools/base/strong_vector.h"
 
 /* need extra level to force extra eval */

ortools/base/python-swig.h

@@ -16,7 +16,7 @@
 // This file should only be included in base.i inside Python-specific part:
 //   #ifdef SWIGPYTHON
 //   %{
-//   #include "ortools/base/swig/python-swig.cc"
+//   #include "ortools/base/python-swig.h"
 //   %}
 //   #endif
 // It has no XXX_H_ guard because SWIG protects all %include'd files to be used

ortools/constraint_solver/csharp/IntVarArrayHelper.cs

@@ -174,7 +174,7 @@ public static class IntVarArrayHelper
     }
 }
 
-// TODO(user): Try to move this code back to the .swig with @define macros.
+// TODO(user): Try to move this code back to the .i with @define macros.
 public partial class IntVarVector : IDisposable,
                                     System.Collections.IEnumerable
 #if !SWIG_DOTNET_1

ortools/constraint_solver/expressions.cc

@@ -21,22 +21,19 @@
 #include <utility>
 #include <vector>
 
-#include "absl/container/flat_hash_map.h"
+#include "absl/flags/flag.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/str_format.h"
 #include "absl/strings/string_view.h"
 #include "absl/types/span.h"
-#include "ortools/base/commandlineflags.h"
 #include "ortools/base/logging.h"
-#include "ortools/base/map_util.h"
 #include "ortools/base/mathutil.h"
 #include "ortools/base/stl_util.h"
-#include "ortools/base/types.h"
 #include "ortools/constraint_solver/constraint_solver.h"
 #include "ortools/constraint_solver/constraint_solveri.h"
 #include "ortools/util/bitset.h"
+#include "ortools/util/piecewise_linear_function.h"
 #include "ortools/util/saturated_arithmetic.h"
-#include "ortools/util/string_array.h"
 
 ABSL_FLAG(bool, cp_disable_expression_optimization, false,
           "Disable special optimization when creating expressions.");
@@ -5849,8 +5846,8 @@ class SimpleConvexPiecewiseExpr : public BaseIntExpr {
     DCHECK_GE(lc, int64_t{0});
     DCHECK_GE(ld, ed);
 
-    // If the penalty is 0, we can push the "confort zone or zone
-    // of no cost towards infinity.
+    // If the penalty is 0, we can push the "comfort zone or zone of no cost
+    // towards infinity.
   }
 
   ~SimpleConvexPiecewiseExpr() override {}

ortools/graph/christofides_test.cc

@@ -273,7 +273,7 @@ void BM_ChristofidesPathSolver(benchmark::State& state) {
     }
   }
   auto cost = [&costs](int i, int j) { return costs[i][j]; };
-  // TODO: MSVC v19.41 can't convert lambda to std::function.
+  // TODO(user) MSVC v19.41 can't convert lambda to std::function.
 #if defined(_MSC_VER)
   using Cost = std::function<int(int, int)>;
 #else

ortools/graph/one_tree_lower_bound_test.cc

@@ -22,6 +22,7 @@
 #include "absl/log/log.h"
 #include "absl/types/span.h"
 #include "gtest/gtest.h"
+#include "ortools/base/gmock.h"
 #include "ortools/base/path.h"
 #include "ortools/routing/parsers/tsplib_parser.h"
 

ortools/pdlp/README.md

@@ -5,13 +5,14 @@ quadratic programming (QP) problems using first-order methods.
 
 The implementation is based on the Primal-Dual Hybrid Gradient (PDHG) algorithm,
 which is preprocessed with scaling and optional presolving to improve
-performance and numerical stability.
+performance and numerical stability. See also
+[Mathematical background for PDLP][background].
 
 ## Core C++ libraries:
 
 * [`primal_dual_hybrid_gradient.h`][primal_dual_hybrid_gradient_h]: The main
-  entry point for the solver, which takes a `QuadraticProgram` and solver
-  parameters.
+  entry point `PrimalDualHybridGradient()` for the solver, which takes a
+  `QuadraticProgram` and solver parameters.
 * [`quadratic_program.h`][quadratic_program_h]: Defines the `QuadraticProgram`
   struct to represent the optimization problem, including objective vectors,
   constraint matrices, and bounds.
@@ -41,6 +42,7 @@ performance and numerical stability.
 * [`samples/`](samples): This directory provides example usage of the library.
 
 <!-- Links used throughout the document. -->
+[background]: https://developers.google.com/optimization/lp/pdlp_math
 [primal_dual_hybrid_gradient_h]: ../pdlp/primal_dual_hybrid_gradient.h
 [quadratic_program_h]: ../pdlp/quadratic_program.h
 [quadratic_program_io_h]: ../pdlp/quadratic_program_io.h