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[upstream_utils] Disable spurious maybe-uninitialized warning from GCC 14 #6728

Merged
merged 1 commit into from
Jun 9, 2024
Merged

[upstream_utils] Disable spurious maybe-uninitialized warning from GCC 14 #6728

merged 1 commit into from
Jun 9, 2024

Commits on Jun 9, 2024

  1. [upstream_utils] Disable spurious maybe-uninitialized warning from GC… 

    …C 14

```
In file included from /home/tav/frc/wpilib/allwpilib/wpimath/src/main/native/thirdparty/eigen/include/Eigen/Core:360,
                 from /home/tav/frc/wpilib/allwpilib/sysid/src/main/native/include/sysid/analysis/OLS.h:10,
                 from /home/tav/frc/wpilib/allwpilib/sysid/src/main/native/include/sysid/analysis/FeedforwardAnalysis.h:12,
                 from /home/tav/frc/wpilib/allwpilib/sysid/src/main/native/cpp/analysis/FeedforwardAnalysis.cpp:5:
/home/tav/frc/wpilib/allwpilib/wpimath/src/main/native/thirdparty/eigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1> >; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
/home/tav/frc/wpilib/allwpilib/wpimath/src/main/native/thirdparty/eigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:217:51: error: ‘result’ may be used uninitialized [-Werror=maybe-uninitialized]
  214 |     internal::selfadjoint_matrix_vector_product<
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  215 |         Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags & RowMajorBit) ? RowMajor : ColMajor,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  216 |         int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  217 |         bool(RhsBlasTraits::NeedToConjugate)>::run(lhs.rows(),                              // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  218 |                                                    &lhs.coeffRef(0, 0), lhs.outerStride(),  // lhs info
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  219 |                                                    actualRhsPtr,                            // rhs info
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  220 |                                                    actualDestPtr,                           // result info
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  221 |                                                    actualAlpha                              // scale factor
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  222 |     );
      |     ~
/home/tav/frc/wpilib/allwpilib/wpimath/src/main/native/thirdparty/eigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:42:1: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
   42 | selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
    @calcmogul
    calcmogul committed Jun 9, 2024
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