Cabal revisions of eigen-2.1.6

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 name:           eigen version:        2.1.6-homepage:       https://github.com/osidorkin/haskell-eigen-synopsis:       Eigen C++ library (linear algebra: matrices, sparse matrices, vectors, numerical solvers).-description:    This module provides Haskell binding for <http://eigen.tuxfamily.org/ Eigen C++ library>.-                .-                Eigen is versatile.-                .-                * It supports all matrix sizes, from small fixed-size matrices to arbitrarily large dense matrices, and even sparse matrices.-                .-                * It supports all standard numeric types, including std::complex, integers, and is easily extensible to custom numeric types.-                .-                * It supports various <http://eigen.tuxfamily.org/dox/group__TopicLinearAlgebraDecompositions.html matrix decompositions> and <http://eigen.tuxfamily.org/dox/group__TutorialGeometry.html geometry features>.-                .-                * Its ecosystem of <http://eigen.tuxfamily.org/dox/unsupported/index.html unsupported modules> provides many specialized features such as non-linear optimization, matrix functions, a polynomial solver, FFT, and much more.-                .-                Eigen is fast.-                .-                * Expression templates allow to intelligently remove temporaries and enable <http://eigen.tuxfamily.org/dox/TopicLazyEvaluation.html lazy evaluation>, when that is appropriate.-                .-                * <http://eigen.tuxfamily.org/index.php?title=FAQ#Vectorization Explicit vectorization> is performed for SSE 2\/3\/4, ARM NEON, and AltiVec instruction sets, with graceful fallback to non-vectorized code.-                .-                * Fixed-size matrices are fully optimized: dynamic memory allocation is avoided, and the loops are unrolled when that makes sense.-                .-                * For large matrices, special attention is paid to cache-friendliness.-                .-                Eigen is reliable.-                .-                * Algorithms are carefully selected for reliability. Reliability trade-offs are <http://eigen.tuxfamily.org/dox/group__TopicLinearAlgebraDecompositions.html clearly documented> and <http://eigen.tuxfamily.org/dox/classEigen_1_1JacobiSVD.html extremely> <http://eigen.tuxfamily.org/dox/classEigen_1_1FullPivHouseholderQR.html safe> <http://eigen.tuxfamily.org/dox/classEigen_1_1FullPivLU.html decompositions> are available.-                .-                * Eigen is thoroughly tested through its own <http://eigen.tuxfamily.org/index.php?title=Tests test suite> (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite.-                .-                Eigen is elegant.-                .-                * The API is extremely <http://eigen.tuxfamily.org/index.php?title=API_Showcase clean and expressive> while feeling natural to C++ programmers, thanks to expression templates.-                .-                * Implementing an algorithm on top of Eigen feels like just copying pseudocode.-                .-                Eigen has good compiler support as we run our test suite against many compilers to guarantee reliability and work around any compiler bugs.-                Eigen also is standard C++98 and maintains very reasonable compilation times.-                .-                Eigen is licensed under the MPL2, which is a simple weak copyleft license. Common questions about the MPL2 are answered in the official MPL2 FAQ at <http://www.mozilla.org/MPL/2.0/FAQ.html>.-                .-                Note that currently, a few features in Eigen rely on third-party code licensed under the LGPL: SimplicialCholesky, AMD ordering, and constrained_cg. Such features are explicitly disabled by compiling Eigen with the EIGEN_MPL2_ONLY preprocessor symbol defined.-                .-                Virtually any software may use Eigen. For example, closed-source software may use Eigen without having to disclose its own source code. Many proprietary and closed-source software projects are using Eigen right now, as well as many BSD-licensed projects.-                .-                Documentation at the most extent replicates original <http://eigen.tuxfamily.org/dox/ Eigen documentation>.-category:       Data, Math, Algebra, Statistics, Algorithms, Numeric-license:        BSD3-license-file:   LICENSE-copyright:      (c) 2013-2015, Oleg Sidorkin-author:         Oleg Sidorkin <oleg.sidorkin@gmail.com>-maintainer:     Oleg Sidorkin <oleg.sidorkin@gmail.com>-cabal-version:  >= 1.8-build-type:     Simple-tested-with:    GHC ==7.8.3-extra-source-files: cbits/eigen-runtime.h-    cbits/eigen-dense.h-    cbits/eigen-la.h-    cbits/eigen-sparse.h-    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head-  type:     git-  location: git://github.com/osidorkin/haskell-eigen.git---library-    exposed-modules:    Data.Eigen.LA-                        Data.Eigen.SparseLA-                        Data.Eigen.Matrix-                        Data.Eigen.Matrix.Mutable-                        Data.Eigen.SparseMatrix-                        Data.Eigen.SparseMatrix.Mutable-                        Data.Eigen.Parallel-                        Data.Eigen.Internal--    ghc-options:        -Wall -fno-warn-name-shadowing-    build-depends:      base >= 3 && < 5,+x-revision: 1+homepage:       https://github.com/osidorkin/haskell-eigen+synopsis:       Eigen C++ library (linear algebra: matrices, sparse matrices, vectors, numerical solvers).+description:    This module provides Haskell binding for <http://eigen.tuxfamily.org/ Eigen C++ library>.+                .+                Eigen is versatile.+                .+                * It supports all matrix sizes, from small fixed-size matrices to arbitrarily large dense matrices, and even sparse matrices.+                .+                * It supports all standard numeric types, including std::complex, integers, and is easily extensible to custom numeric types.+                .+                * It supports various <http://eigen.tuxfamily.org/dox/group__TopicLinearAlgebraDecompositions.html matrix decompositions> and <http://eigen.tuxfamily.org/dox/group__TutorialGeometry.html geometry features>.+                .+                * Its ecosystem of <http://eigen.tuxfamily.org/dox/unsupported/index.html unsupported modules> provides many specialized features such as non-linear optimization, matrix functions, a polynomial solver, FFT, and much more.+                .+                Eigen is fast.+                .+                * Expression templates allow to intelligently remove temporaries and enable <http://eigen.tuxfamily.org/dox/TopicLazyEvaluation.html lazy evaluation>, when that is appropriate.+                .+                * <http://eigen.tuxfamily.org/index.php?title=FAQ#Vectorization Explicit vectorization> is performed for SSE 2\/3\/4, ARM NEON, and AltiVec instruction sets, with graceful fallback to non-vectorized code.+                .+                * Fixed-size matrices are fully optimized: dynamic memory allocation is avoided, and the loops are unrolled when that makes sense.+                .+                * For large matrices, special attention is paid to cache-friendliness.+                .+                Eigen is reliable.+                .+                * Algorithms are carefully selected for reliability. Reliability trade-offs are <http://eigen.tuxfamily.org/dox/group__TopicLinearAlgebraDecompositions.html clearly documented> and <http://eigen.tuxfamily.org/dox/classEigen_1_1JacobiSVD.html extremely> <http://eigen.tuxfamily.org/dox/classEigen_1_1FullPivHouseholderQR.html safe> <http://eigen.tuxfamily.org/dox/classEigen_1_1FullPivLU.html decompositions> are available.+                .+                * Eigen is thoroughly tested through its own <http://eigen.tuxfamily.org/index.php?title=Tests test suite> (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite.+                .+                Eigen is elegant.+                .+                * The API is extremely <http://eigen.tuxfamily.org/index.php?title=API_Showcase clean and expressive> while feeling natural to C++ programmers, thanks to expression templates.+                .+                * Implementing an algorithm on top of Eigen feels like just copying pseudocode.+                .+                Eigen has good compiler support as we run our test suite against many compilers to guarantee reliability and work around any compiler bugs.+                Eigen also is standard C++98 and maintains very reasonable compilation times.+                .+                Eigen is licensed under the MPL2, which is a simple weak copyleft license. Common questions about the MPL2 are answered in the official MPL2 FAQ at <http://www.mozilla.org/MPL/2.0/FAQ.html>.+                .+                Note that currently, a few features in Eigen rely on third-party code licensed under the LGPL: SimplicialCholesky, AMD ordering, and constrained_cg. Such features are explicitly disabled by compiling Eigen with the EIGEN_MPL2_ONLY preprocessor symbol defined.+                .+                Virtually any software may use Eigen. For example, closed-source software may use Eigen without having to disclose its own source code. Many proprietary and closed-source software projects are using Eigen right now, as well as many BSD-licensed projects.+                .+                Documentation at the most extent replicates original <http://eigen.tuxfamily.org/dox/ Eigen documentation>.+category:       Data, Math, Algebra, Statistics, Algorithms, Numeric+license:        BSD3+license-file:   LICENSE+copyright:      (c) 2013-2015, Oleg Sidorkin+author:         Oleg Sidorkin <oleg.sidorkin@gmail.com>+maintainer:     Oleg Sidorkin <oleg.sidorkin@gmail.com>+cabal-version:  >= 1.8+build-type:     Simple+tested-with:    GHC ==7.8.3+extra-source-files: cbits/eigen-runtime.h+    cbits/eigen-dense.h+    cbits/eigen-la.h+    cbits/eigen-sparse.h+    cbits/eigen-sparse-la.h+        eigen3/.hg_archival.txt+        eigen3/.hgeol+        eigen3/.hgignore+        eigen3/.hgtags+        eigen3/blas/BandTriangularSolver.h+        eigen3/blas/chbmv.f+        eigen3/blas/chpmv.f+        eigen3/blas/CMakeLists.txt+        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eigen3/unsupported/Eigen/src/Skyline/SkylineProduct.h+        eigen3/unsupported/Eigen/src/Skyline/SkylineStorage.h+        eigen3/unsupported/Eigen/src/Skyline/SkylineUtil.h+        eigen3/unsupported/Eigen/src/SparseExtra/BlockOfDynamicSparseMatrix.h+        eigen3/unsupported/Eigen/src/SparseExtra/CMakeLists.txt+        eigen3/unsupported/Eigen/src/SparseExtra/DynamicSparseMatrix.h+        eigen3/unsupported/Eigen/src/SparseExtra/MarketIO.h+        eigen3/unsupported/Eigen/src/SparseExtra/MatrixMarketIterator.h+        eigen3/unsupported/Eigen/src/SparseExtra/RandomSetter.h+        eigen3/unsupported/Eigen/src/Splines/CMakeLists.txt+        eigen3/unsupported/Eigen/src/Splines/Spline.h+        eigen3/unsupported/Eigen/src/Splines/SplineFitting.h+        eigen3/unsupported/Eigen/src/Splines/SplineFwd.h+        eigen3/unsupported/Eigen/src/SVD/BDCSVD.h+        eigen3/unsupported/Eigen/src/SVD/CMakeLists.txt+        eigen3/unsupported/Eigen/src/SVD/doneInBDCSVD.txt+        eigen3/unsupported/Eigen/src/SVD/JacobiSVD.h+        eigen3/unsupported/Eigen/src/SVD/SVDBase.h+        eigen3/unsupported/Eigen/src/SVD/TODOBdcsvd.txt+        eigen3/unsupported/Eigen/SVD+        eigen3/unsupported/README.txt+        eigen3/unsupported/test/alignedvector3.cpp+        eigen3/unsupported/test/autodiff.cpp+        eigen3/unsupported/test/bdcsvd.cpp+        eigen3/unsupported/test/BVH.cpp+        eigen3/unsupported/test/CMakeLists.txt+        eigen3/unsupported/test/dgmres.cpp+        eigen3/unsupported/test/FFT.cpp+        eigen3/unsupported/test/FFTW.cpp+        eigen3/unsupported/test/forward_adolc.cpp+        eigen3/unsupported/test/gmres.cpp+        eigen3/unsupported/test/jacobisvd.cpp+        eigen3/unsupported/test/kronecker_product.cpp+        eigen3/unsupported/test/levenberg_marquardt.cpp+        eigen3/unsupported/test/matrix_exponential.cpp+        eigen3/unsupported/test/matrix_function.cpp+        eigen3/unsupported/test/matrix_functions.h+        eigen3/unsupported/test/matrix_power.cpp+        eigen3/unsupported/test/matrix_square_root.cpp+        eigen3/unsupported/test/minres.cpp+        eigen3/unsupported/test/mpreal/mpreal.h+        eigen3/unsupported/test/mpreal_support.cpp+        eigen3/unsupported/test/NonLinearOptimization.cpp+        eigen3/unsupported/test/NumericalDiff.cpp+        eigen3/unsupported/test/openglsupport.cpp+        eigen3/unsupported/test/polynomialsolver.cpp+        eigen3/unsupported/test/polynomialutils.cpp+        eigen3/unsupported/test/sparse_extra.cpp+        eigen3/unsupported/test/splines.cpp+        eigen3/unsupported/test/svd_common.h+++source-repository head+  type:     git+  location: git://github.com/osidorkin/haskell-eigen.git+++library+    exposed-modules:    Data.Eigen.LA+                        Data.Eigen.SparseLA+                        Data.Eigen.Matrix+                        Data.Eigen.Matrix.Mutable+                        Data.Eigen.SparseMatrix+                        Data.Eigen.SparseMatrix.Mutable+                        Data.Eigen.Parallel+                        Data.Eigen.Internal++    ghc-options:        -Wall -fno-warn-name-shadowing+    build-depends:      base >= 4.8 && < 4.10,                         vector >= 0.5 && < 0.12,                         primitive >= 0.1 && < 0.7,                         binary,