dotnet: Remove reference to dotnet release command

- Currently not implemented...

Add abseil patch

- Add patches/absl-config.cmake

Makefile: Add abseil-cpp on unix

- Force abseil-cpp SHA1 to 45221cc
  note: Just before the PR #136 which break all CMake

Makefile: Add abseil-cpp on windows

- Force abseil-cpp SHA1 to 45221cc
  note: Just before the PR #136 which break all CMake

CMake: Add abseil-cpp

- Force abseil-cpp SHA1 to 45221cc
  note: Just before the PR #136 which break all CMake

port to absl: C++ Part

- Fix warning with the use of ABSL_MUST_USE_RESULT
  > The macro must appear as the very first part of a function
    declaration or definition:
    ...
    Note: past advice was to place the macro after the argument list.
  src: dependencies/sources/abseil-cpp-master/absl/base/attributes.h:418
- Rename enum after windows clash
- Remove non compact table constraints
- Change index type from int64 to int in routing library
- Fix file_nonport compilation on windows
- Fix another naming conflict with windows (NO_ERROR is a macro)
- Cleanup hash containers; work on sat internals
- Add optional_boolean sub-proto

Sync cpp examples with internal code
- reenable issue173 after reducing number of loops

port to absl: Python Part

- Add back cp_model.INT32_MIN|MAX for examples

Update Python examples

- Add random_tsp.py
- Run words_square example
- Run magic_square in python tests

port to absl: Java Part

- Fix compilation of the new routing parameters in java
- Protect some code from SWIG parsing

Update Java Examples

port to absl: .Net Part

Update .Net examples

work on sat internals; Add C++ CP-SAT CpModelBuilder API; update sample code and recipes to use the new API; sync with internal code

Remove VS 2015 in Appveyor-CI

- abseil-cpp does not support VS 2015...

improve tables

upgrade C++ sat examples to use the new API; work on sat internals

update license dates

rewrite jobshop_ft06_distance.py to use the CP-SAT solver

rename last example

revert last commit

more work on SAT internals

fix

examples/java/LinearProgramming.java

@@ -16,11 +16,7 @@ import com.google.ortools.linearsolver.MPObjective;
 import com.google.ortools.linearsolver.MPSolver;
 import com.google.ortools.linearsolver.MPVariable;
 
-/**
- * Linear programming example that shows how to use the API.
- *
- */
-
+/** Linear programming example that shows how to use the API. */
 public class LinearProgramming {
   static {
     System.loadLibrary("jniortools");
@@ -90,9 +86,10 @@ public class LinearProgramming {
 
     // Verify that the solution satisfies all constraints (when using solvers
     // others than GLOP_LINEAR_PROGRAMMING, this is highly recommended!).
-    if (!solver.verifySolution(/*tolerance=*/1e-7, /*logErrors=*/true)) {
-      System.err.println("The solution returned by the solver violated the"
-          + " problem constraints by at least 1e-7");
+    if (!solver.verifySolution(/*tolerance=*/ 1e-7, /*logErrors=*/ true)) {
+      System.err.println(
+          "The solution returned by the solver violated the"
+              + " problem constraints by at least 1e-7");
       return;
     }