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Cabal revisions of eigen-2.1.2

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-name:           eigen-version:        2.1.2-homepage:       https://github.com/osidorkin/haskell-eigen-synopsis:       Eigen C++ library (linear algebra: matrices, vectors, numerical solvers).-description:    This module provides Haskell binding for Eigen C++ library.-                Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.-                Eigen home page is <http://eigen.tuxfamily.org/>.-                .-                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.-                .-                Some parts of documentation strings are based or replicate original Eigen documentation which is available at <http://eigen.tuxfamily.org/dox/>.-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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opy_to_ucol.h-	eigen3/Eigen/src/SparseLU/SparseLU_gemm_kernel.h-	eigen3/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h-	eigen3/Eigen/src/SparseLU/SparseLU_kernel_bmod.h-	eigen3/Eigen/src/SparseLU/SparseLU_Memory.h-	eigen3/Eigen/src/SparseLU/SparseLU_panel_bmod.h-	eigen3/Eigen/src/SparseLU/SparseLU_panel_dfs.h-	eigen3/Eigen/src/SparseLU/SparseLU_pivotL.h-	eigen3/Eigen/src/SparseLU/SparseLU_pruneL.h-	eigen3/Eigen/src/SparseLU/SparseLU_relax_snode.h-	eigen3/Eigen/src/SparseLU/SparseLU_Structs.h-	eigen3/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h-	eigen3/Eigen/src/SparseLU/SparseLU_Utils.h-	eigen3/Eigen/src/SparseLU/SparseLUImpl.h-	eigen3/Eigen/src/SparseQR/CMakeLists.txt-	eigen3/Eigen/src/SparseQR/SparseQR.h-	eigen3/Eigen/src/SPQRSupport/CMakeLists.txt-	eigen3/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h-	eigen3/Eigen/src/StlSupport/CMakeLists.txt-	eigen3/Eigen/src/StlSupport/details.h-	eigen3/Eigen/src/StlSupport/StdDeque.h-	eigen3/Eigen/src/StlSupport/StdList.h-	eigen3/Eigen/src/StlSupport/StdVector.h-	eigen3/Eigen/src/SuperLUSupport/CMakeLists.txt-	eigen3/Eigen/src/SuperLUSupport/SuperLUSupport.h-	eigen3/Eigen/src/SVD/CMakeLists.txt-	eigen3/Eigen/src/SVD/JacobiSVD.h-	eigen3/Eigen/src/SVD/JacobiSVD_MKL.h-	eigen3/Eigen/src/SVD/UpperBidiagonalization.h-	eigen3/Eigen/src/UmfPackSupport/CMakeLists.txt-	eigen3/Eigen/src/UmfPackSupport/UmfPackSupport.h-	eigen3/Eigen/StdDeque-	eigen3/Eigen/StdList-	eigen3/Eigen/StdVector-	eigen3/Eigen/SuperLUSupport-	eigen3/Eigen/SVD-	eigen3/Eigen/UmfPackSupport-	eigen3/eigen3.pc.in-	eigen3/failtest/block_nonconst_ctor_on_const_xpr_0.cpp-	eigen3/failtest/block_nonconst_ctor_on_const_xpr_1.cpp-	eigen3/failtest/block_nonconst_ctor_on_const_xpr_2.cpp-	eigen3/failtest/block_on_const_type_actually_const_0.cpp-	eigen3/failtest/block_on_const_type_actually_const_1.cpp-	eigen3/failtest/CMakeLists.txt-	eigen3/failtest/colpivqr_int.cpp-	eigen3/failtest/const_qualified_block_method_retval_0.cpp-	eigen3/failtest/const_qualified_block_method_retval_1.cpp-	eigen3/failtest/const_qualified_diagonal_method_retval.cpp-	eigen3/failtest/const_qualified_transpose_method_retval.cpp-	eigen3/failtest/diagonal_nonconst_ctor_on_const_xpr.cpp-	eigen3/failtest/diagonal_on_const_type_actually_const.cpp-	eigen3/failtest/eigensolver_cplx.cpp-	eigen3/failtest/eigensolver_int.cpp-	eigen3/failtest/failtest_sanity_check.cpp-	eigen3/failtest/fullpivlu_int.cpp-	eigen3/failtest/fullpivqr_int.cpp-	eigen3/failtest/jacobisvd_int.cpp-	eigen3/failtest/ldlt_int.cpp-	eigen3/failtest/llt_int.cpp-	eigen3/failtest/map_nonconst_ctor_on_const_ptr_0.cpp-	eigen3/failtest/map_nonconst_ctor_on_const_ptr_1.cpp-	eigen3/failtest/map_nonconst_ctor_on_const_ptr_2.cpp-	eigen3/failtest/map_nonconst_ctor_on_const_ptr_3.cpp-	eigen3/failtest/map_nonconst_ctor_on_const_ptr_4.cpp-	eigen3/failtest/map_on_const_type_actually_const_0.cpp-	eigen3/failtest/map_on_const_type_actually_const_1.cpp-	eigen3/failtest/partialpivlu_int.cpp-	eigen3/failtest/qr_int.cpp-	eigen3/failtest/ref_1.cpp-	eigen3/failtest/ref_2.cpp-	eigen3/failtest/ref_3.cpp-	eigen3/failtest/ref_4.cpp-	eigen3/failtest/ref_5.cpp-	eigen3/failtest/transpose_nonconst_ctor_on_const_xpr.cpp-	eigen3/failtest/transpose_on_const_type_actually_const.cpp-	eigen3/INSTALL-	eigen3/lapack/cholesky.cpp-	eigen3/lapack/clacgv.f-	eigen3/lapack/cladiv.f-	eigen3/lapack/clarf.f-	eigen3/lapack/clarfb.f-	eigen3/lapack/clarfg.f-	eigen3/lapack/clarft.f-	eigen3/lapack/CMakeLists.txt-	eigen3/lapack/complex_double.cpp-	eigen3/lapack/complex_single.cpp-	eigen3/lapack/dladiv.f-	eigen3/lapack/dlamch.f-	eigen3/lapack/dlapy2.f-	eigen3/lapack/dlapy3.f-	eigen3/lapack/dlarf.f-	eigen3/lapack/dlarfb.f-	eigen3/lapack/dlarfg.f-	eigen3/lapack/dlarft.f-	eigen3/lapack/double.cpp-	eigen3/lapack/dsecnd_NONE.f-	eigen3/lapack/eigenvalues.cpp-	eigen3/lapack/ilaclc.f-	eigen3/lapack/ilaclr.f-	eigen3/lapack/iladlc.f-	eigen3/lapack/iladlr.f-	eigen3/lapack/ilaslc.f-	eigen3/lapack/ilaslr.f-	eigen3/lapack/ilazlc.f-	eigen3/lapack/ilazlr.f-	eigen3/lapack/lapack_common.h-	eigen3/lapack/lu.cpp-	eigen3/lapack/second_NONE.f-	eigen3/lapack/single.cpp-	eigen3/lapack/sladiv.f-	eigen3/lapack/slamch.f-	eigen3/lapack/slapy2.f-	eigen3/lapack/slapy3.f-	eigen3/lapack/slarf.f-	eigen3/lapack/slarfb.f-	eigen3/lapack/slarfg.f-	eigen3/lapack/slarft.f-	eigen3/lapack/zlacgv.f-	eigen3/lapack/zladiv.f-	eigen3/lapack/zlarf.f-	eigen3/lapack/zlarfb.f-	eigen3/lapack/zlarfg.f-	eigen3/lapack/zlarft.f-	eigen3/scripts/buildtests.in-	eigen3/scripts/cdashtesting.cmake.in-	eigen3/scripts/check.in-	eigen3/scripts/CMakeLists.txt-	eigen3/scripts/debug.in-	eigen3/scripts/eigen_gen_credits.cpp-	eigen3/scripts/eigen_gen_docs-	eigen3/scripts/release.in-	eigen3/scripts/relicense.py-	eigen3/signature_of_eigen3_matrix_library-	eigen3/test/adjoint.cpp-	eigen3/test/array.cpp-	eigen3/test/array_for_matrix.cpp-	eigen3/test/array_replicate.cpp-	eigen3/test/array_reverse.cpp-	eigen3/test/bandmatrix.cpp-	eigen3/test/basicstuff.cpp-	eigen3/test/bicgstab.cpp-	eigen3/test/block.cpp-	eigen3/tes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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.Parallel-                        Data.Eigen.Internal--    ghc-options:        -Wall -fno-warn-name-shadowing-    build-depends:      base >= 3 && < 5,-                        vector >= 0.5 && < 0.12,-                        primitive >= 0.1 && < 0.7,-                        bytestring,-                        transformers >= 0.3--    include-dirs:       eigen3, cbits-    c-sources:          cbits/eigen-runtime.cpp-                        cbits/eigen-dense.cpp-                        cbits/eigen-sparse.cpp-                        cbits/eigen-la.cpp-                        cbits/eigen-sparse-la.cpp-    extra-libraries:    stdc++--Test-Suite test-solve-    type:               exitcode-stdio-1.0-    main-is:            test/solve.hs-    build-depends:      base, primitive, vector, eigen--Test-Suite test-rank-    type:               exitcode-stdio-1.0-    main-is:            test/rank.hs-    build-depends:      base, primitive, vector, eigen--Test-Suite test-regression-    type:               exitcode-stdio-1.0-    main-is:            test/regression.hs-    build-depends:      base, primitive, vector, eigen-+name:           eigen
+version:        2.1.2
+x-revision: 1
+homepage:       https://github.com/osidorkin/haskell-eigen
+synopsis:       Eigen C++ library (linear algebra: 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.
+                .
+                Some parts of documentation strings are based or replicate original Eigen documentation which is available at <http://eigen.tuxfamily.org/dox/>.
+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/bench/basicbench.cxxlist
+	eigen3/bench/basicbenchmark.cpp
+	eigen3/bench/basicbenchmark.h
+	eigen3/bench/bench_gemm.cpp
+	eigen3/bench/bench_multi_compilers.sh
+	eigen3/bench/bench_norm.cpp
+	eigen3/bench/bench_reverse.cpp
+	eigen3/bench/bench_sum.cpp
+	eigen3/bench/bench_unrolling
+	eigen3/bench/benchBlasGemm.cpp
+	eigen3/bench/benchCholesky.cpp
+	eigen3/bench/benchEigenSolver.cpp
+	eigen3/bench/benchFFT.cpp
+	eigen3/bench/benchGeometry.cpp
+	eigen3/bench/benchmark.cpp
+	eigen3/bench/benchmark_suite
+	eigen3/bench/benchmarkSlice.cpp
+	eigen3/bench/benchmarkX.cpp
+	eigen3/bench/benchmarkXcwise.cpp
+	eigen3/bench/BenchSparseUtil.h
+	eigen3/bench/BenchTimer.h
+	eigen3/bench/BenchUtil.h
+	eigen3/bench/benchVecAdd.cpp
+	eigen3/bench/btl/actions/action_aat_product.hh
+	eigen3/bench/btl/actions/action_ata_product.hh
+	eigen3/bench/btl/actions/action_atv_product.hh
+	eigen3/bench/btl/actions/action_axpby.hh
+	eigen3/bench/btl/actions/action_axpy.hh
+	eigen3/bench/btl/actions/action_cholesky.hh
+	eigen3/bench/btl/actions/action_ger.hh
+	eigen3/bench/btl/actions/action_hessenberg.hh
+	eigen3/bench/btl/actions/action_lu_decomp.hh
+	eigen3/bench/btl/actions/action_lu_solve.hh
+	eigen3/bench/btl/actions/action_matrix_matrix_product.hh
+	eigen3/bench/btl/actions/action_matrix_matrix_product_bis.hh
+	eigen3/bench/btl/actions/action_matrix_vector_product.hh
+	eigen3/bench/btl/actions/action_partial_lu.hh
+	eigen3/bench/btl/actions/action_rot.hh
+	eigen3/bench/btl/actions/action_symv.hh
+	eigen3/bench/btl/actions/action_syr2.hh
+	eigen3/bench/btl/actions/action_trisolve.hh
+	eigen3/bench/btl/actions/action_trisolve_matrix.hh
+	eigen3/bench/btl/actions/action_trmm.hh
+	eigen3/bench/btl/actions/basic_actions.hh
+	eigen3/bench/btl/cmake/FindACML.cmake
+	eigen3/bench/btl/cmake/FindATLAS.cmake
+	eigen3/bench/btl/cmake/FindBlitz.cmake
+	eigen3/bench/btl/cmake/FindCBLAS.cmake
+	eigen3/bench/btl/cmake/FindGMM.cmake
+	eigen3/bench/btl/cmake/FindGOTO.cmake
+	eigen3/bench/btl/cmake/FindGOTO2.cmake
+	eigen3/bench/btl/cmake/FindMKL.cmake
+	eigen3/bench/btl/cmake/FindMTL4.cmake
+	eigen3/bench/btl/cmake/FindPackageHandleStandardArgs.cmake
+	eigen3/bench/btl/cmake/FindTvmet.cmake
+	eigen3/bench/btl/cmake/MacroOptionalAddSubdirectory.cmake
+	eigen3/bench/btl/CMakeLists.txt
+	eigen3/bench/btl/COPYING
+	eigen3/bench/btl/data/action_settings.txt
+	eigen3/bench/btl/data/CMakeLists.txt
+	eigen3/bench/btl/data/gnuplot_common_settings.hh
+	eigen3/bench/btl/data/go_mean
+	eigen3/bench/btl/data/mean.cxx
+	eigen3/bench/btl/data/mk_gnuplot_script.sh
+	eigen3/bench/btl/data/mk_mean_script.sh
+	eigen3/bench/btl/data/mk_new_gnuplot.sh
+	eigen3/bench/btl/data/perlib_plot_settings.txt
+	eigen3/bench/btl/data/regularize.cxx
+	eigen3/bench/btl/data/smooth.cxx
+	eigen3/bench/btl/data/smooth_all.sh
+	eigen3/bench/btl/generic_bench/bench.hh
+	eigen3/bench/btl/generic_bench/bench_parameter.hh
+	eigen3/bench/btl/generic_bench/btl.hh
+	eigen3/bench/btl/generic_bench/init/init_function.hh
+	eigen3/bench/btl/generic_bench/init/init_matrix.hh
+	eigen3/bench/btl/generic_bench/init/init_vector.hh
+	eigen3/bench/btl/generic_bench/static/bench_static.hh
+	eigen3/bench/btl/generic_bench/static/intel_bench_fixed_size.hh
+	eigen3/bench/btl/generic_bench/static/static_size_generator.hh
+	eigen3/bench/btl/generic_bench/timers/mixed_perf_analyzer.hh
+	eigen3/bench/btl/generic_bench/timers/portable_perf_analyzer.hh
+	eigen3/bench/btl/generic_bench/timers/portable_perf_analyzer_old.hh
+	eigen3/bench/btl/generic_bench/timers/portable_timer.hh
+	eigen3/bench/btl/generic_bench/timers/STL_perf_analyzer.hh
+	eigen3/bench/btl/generic_bench/timers/STL_timer.hh
+	eigen3/bench/btl/generic_bench/timers/x86_perf_analyzer.hh
+	eigen3/bench/btl/generic_bench/timers/x86_timer.hh
+	eigen3/bench/btl/generic_bench/utils/size_lin_log.hh
+	eigen3/bench/btl/generic_bench/utils/size_log.hh
+	eigen3/bench/btl/generic_bench/utils/utilities.h
+	eigen3/bench/btl/generic_bench/utils/xy_file.hh
+	eigen3/bench/btl/libs/BLAS/blas.h
+	eigen3/bench/btl/libs/BLAS/blas_interface.hh
+	eigen3/bench/btl/libs/BLAS/blas_interface_impl.hh
+	eigen3/bench/btl/libs/BLAS/c_interface_base.h
+	eigen3/bench/btl/libs/BLAS/CMakeLists.txt
+	eigen3/bench/btl/libs/BLAS/main.cpp
+	eigen3/bench/btl/libs/blitz/blitz_interface.hh
+	eigen3/bench/btl/libs/blitz/blitz_LU_solve_interface.hh
+	eigen3/bench/btl/libs/blitz/btl_blitz.cpp
+	eigen3/bench/btl/libs/blitz/btl_tiny_blitz.cpp
+	eigen3/bench/btl/libs/blitz/CMakeLists.txt
+	eigen3/bench/btl/libs/blitz/tiny_blitz_interface.hh
+	eigen3/bench/btl/libs/eigen2/btl_tiny_eigen2.cpp
+	eigen3/bench/btl/libs/eigen2/CMakeLists.txt
+	eigen3/bench/btl/libs/eigen2/eigen2_interface.hh
+	eigen3/bench/btl/libs/eigen2/main_adv.cpp
+	eigen3/bench/btl/libs/eigen2/main_linear.cpp
+	eigen3/bench/btl/libs/eigen2/main_matmat.cpp
+	eigen3/bench/btl/libs/eigen2/main_vecmat.cpp
+	eigen3/bench/btl/libs/eigen3/btl_tiny_eigen3.cpp
+	eigen3/bench/btl/libs/eigen3/CMakeLists.txt
+	eigen3/bench/btl/libs/eigen3/eigen3_interface.hh
+	eigen3/bench/btl/libs/eigen3/main_adv.cpp
+	eigen3/bench/btl/libs/eigen3/main_linear.cpp
+	eigen3/bench/btl/libs/eigen3/main_matmat.cpp
+	eigen3/bench/btl/libs/eigen3/main_vecmat.cpp
+	eigen3/bench/btl/libs/gmm/CMakeLists.txt
+	eigen3/bench/btl/libs/gmm/gmm_interface.hh
+	eigen3/bench/btl/libs/gmm/gmm_LU_solve_interface.hh
+	eigen3/bench/btl/libs/gmm/main.cpp
+	eigen3/bench/btl/libs/mtl4/.kdbgrc.main
+	eigen3/bench/btl/libs/mtl4/CMakeLists.txt
+	eigen3/bench/btl/libs/mtl4/main.cpp
+	eigen3/bench/btl/libs/mtl4/mtl4_interface.hh
+	eigen3/bench/btl/libs/mtl4/mtl4_LU_solve_interface.hh
+	eigen3/bench/btl/libs/STL/CMakeLists.txt
+	eigen3/bench/btl/libs/STL/main.cpp
+	eigen3/bench/btl/libs/STL/STL_interface.hh
+	eigen3/bench/btl/libs/tvmet/CMakeLists.txt
+	eigen3/bench/btl/libs/tvmet/main.cpp
+	eigen3/bench/btl/libs/tvmet/tvmet_interface.hh
+	eigen3/bench/btl/libs/ublas/CMakeLists.txt
+	eigen3/bench/btl/libs/ublas/main.cpp
+	eigen3/bench/btl/libs/ublas/ublas_interface.hh
+	eigen3/bench/btl/README
+	eigen3/bench/check_cache_queries.cpp
+	eigen3/bench/eig33.cpp
+	eigen3/bench/geometry.cpp
+	eigen3/bench/product_threshold.cpp
+	eigen3/bench/quat_slerp.cpp
+	eigen3/bench/quatmul.cpp
+	eigen3/bench/README.txt
+	eigen3/bench/sparse_cholesky.cpp
+	eigen3/bench/sparse_dense_product.cpp
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+	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.Parallel
+                        Data.Eigen.Internal
+
+    ghc-options:        -Wall -fno-warn-name-shadowing
+    build-depends:      base >= 3 && < 5,
+                        vector >= 0.5 && < 0.12,
+                        primitive >= 0.1 && < 0.7,
+                        bytestring,
+                        transformers >= 0.3
+
+    include-dirs:       eigen3, cbits
+    c-sources:          cbits/eigen-runtime.cpp
+                        cbits/eigen-dense.cpp
+                        cbits/eigen-sparse.cpp
+                        cbits/eigen-la.cpp
+                        cbits/eigen-sparse-la.cpp
+    extra-libraries:    stdc++
+
+Test-Suite test-solve
+    type:               exitcode-stdio-1.0
+    main-is:            test/solve.hs
+    build-depends:      base, primitive, vector, eigen
+
+Test-Suite test-rank
+    type:               exitcode-stdio-1.0
+    main-is:            test/rank.hs
+    build-depends:      base, primitive, vector, eigen
+
+Test-Suite test-regression
+    type:               exitcode-stdio-1.0
+    main-is:            test/regression.hs
+    build-depends:      base, primitive, vector, eigen
+
revision 2
 name:           eigen
 version:        2.1.2
-x-revision: 1
+x-revision: 2
 homepage:       https://github.com/osidorkin/haskell-eigen
 synopsis:       Eigen C++ library (linear algebra: 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 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 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 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 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 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>.
                 .
                 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.
                 .
-                Some parts of documentation strings are based or replicate original Eigen documentation which is available at <http://eigen.tuxfamily.org/dox/>.
+                Package documentation is based or replicate original <http://eigen.tuxfamily.org/dox/ Eigen documentation>.
 category:       Data, Math, Algebra, Statistics, Algorithms, Numeric
 license:        BSD3
 license-file:   LICENSE
revision 3
 name:           eigen
 version:        2.1.2
-x-revision: 2
+x-revision: 3
 homepage:       https://github.com/osidorkin/haskell-eigen
 synopsis:       Eigen C++ library (linear algebra: 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.
                 .
+                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.
                 .
+                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.
                 .
+                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.
                 .
+                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.
                 .
                 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.
                 .
                 Package documentation is based or replicate original <http://eigen.tuxfamily.org/dox/ Eigen documentation>.
+
 category:       Data, Math, Algebra, Statistics, Algorithms, Numeric
 license:        BSD3
 license-file:   LICENSE