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Cabal revisions of backprop-0.2.6.3

Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.

revision 1
-cabal-version: 1.12---- This file has been generated from package.yaml by hpack version 0.31.2.------ see: https://github.com/sol/hpack------ hash: a9461183db8be7dbe24825f41a9efd5aaa5b42ab7a4745958b02fe5e5e59f826--name:           backprop-version:        0.2.6.3-synopsis:       Heterogeneous automatic differentation-description:    Write your functions to compute your result, and the library will-                automatically generate functions to compute your gradient.-                .-                Implements heterogeneous reverse-mode automatic differentiation, commonly-                known as "backpropagation".-                .-                See <https://backprop.jle.im> for official introduction and documentation.-category:       Math-homepage:       https://backprop.jle.im-bug-reports:    https://github.com/mstksg/backprop/issues-author:         Justin Le-maintainer:     justin@jle.im-copyright:      (c) Justin Le 2018-license:        BSD3-license-file:   LICENSE-tested-with:    GHC >= 8.0-build-type:     Simple-extra-source-files:-    README.md-    CHANGELOG.md-    Build.hs-    samples/backprop-mnist.lhs-    samples/extensible-neural.lhs-    renders/backprop-mnist.pdf-    renders/extensible-neural.pdf-    renders/backprop-mnist.md-    renders/extensible-neural.md-    doc/01-getting-started.md-    doc/02-a-detailed-look.md-    doc/03-manipulating-bvars.md-    doc/04-the-backprop-typeclass.md-    doc/05-applications.md-    doc/06-manual-gradients.md-    doc/07-performance.md-    doc/08-equipping-your-library.md-    doc/09-comparisons.md-    doc/index.md--source-repository head-  type: git-  location: https://github.com/mstksg/backprop--library-  exposed-modules:-      Numeric.Backprop-      Numeric.Backprop.Class-      Numeric.Backprop.Explicit-      Numeric.Backprop.Num-      Numeric.Backprop.Op-      Prelude.Backprop-      Prelude.Backprop.Explicit-      Prelude.Backprop.Num-  other-modules:-      Numeric.Backprop.Internal-      Data.Type.Util-  hs-source-dirs:-      src-  ghc-options: -Wall -Wcompat -Wincomplete-record-updates -Wredundant-constraints-  build-depends:-      base >=4.7 && <5-    , containers-    , deepseq-    , microlens-    , primitive-    , reflection-    , transformers-    , vector-    , vinyl >=0.9.1-  default-language: Haskell2010--benchmark backprop-mnist-bench-  type: exitcode-stdio-1.0-  main-is: bench.hs-  other-modules:-      Paths_backprop-  hs-source-dirs:-      bench-  ghc-options: -Wall -Wcompat -Wincomplete-record-updates -Wredundant-constraints -threaded -rtsopts -with-rtsopts=-N -O2-  build-depends:-      backprop-    , base >=4.7 && <5-    , criterion-    , deepseq-    , directory-    , hmatrix >=0.18-    , microlens-    , microlens-th-    , mwc-random-    , time-    , vector-  default-language: Haskell2010+cabal-version: 1.12
+
+-- This file has been generated from package.yaml by hpack version 0.31.2.
+--
+-- see: https://github.com/sol/hpack
+--
+-- hash: a9461183db8be7dbe24825f41a9efd5aaa5b42ab7a4745958b02fe5e5e59f826
+
+name:           backprop
+version:        0.2.6.3
+x-revision: 1
+synopsis:       Heterogeneous automatic differentation
+description:    Write your functions to compute your result, and the library will
+                automatically generate functions to compute your gradient.
+                .
+                Implements heterogeneous reverse-mode automatic differentiation, commonly
+                known as "backpropagation".
+                .
+                See <https://backprop.jle.im> for official introduction and documentation.
+category:       Math
+homepage:       https://backprop.jle.im
+bug-reports:    https://github.com/mstksg/backprop/issues
+author:         Justin Le
+maintainer:     justin@jle.im
+copyright:      (c) Justin Le 2018
+license:        BSD3
+license-file:   LICENSE
+tested-with:    GHC >= 8.0
+build-type:     Simple
+extra-source-files:
+    README.md
+    CHANGELOG.md
+    Build.hs
+    samples/backprop-mnist.lhs
+    samples/extensible-neural.lhs
+    renders/backprop-mnist.pdf
+    renders/extensible-neural.pdf
+    renders/backprop-mnist.md
+    renders/extensible-neural.md
+    doc/01-getting-started.md
+    doc/02-a-detailed-look.md
+    doc/03-manipulating-bvars.md
+    doc/04-the-backprop-typeclass.md
+    doc/05-applications.md
+    doc/06-manual-gradients.md
+    doc/07-performance.md
+    doc/08-equipping-your-library.md
+    doc/09-comparisons.md
+    doc/index.md
+
+source-repository head
+  type: git
+  location: https://github.com/mstksg/backprop
+
+library
+  exposed-modules:
+      Numeric.Backprop
+      Numeric.Backprop.Class
+      Numeric.Backprop.Explicit
+      Numeric.Backprop.Num
+      Numeric.Backprop.Op
+      Prelude.Backprop
+      Prelude.Backprop.Explicit
+      Prelude.Backprop.Num
+  other-modules:
+      Numeric.Backprop.Internal
+      Data.Type.Util
+  hs-source-dirs:
+      src
+  ghc-options: -Wall -Wcompat -Wincomplete-record-updates -Wredundant-constraints
+  build-depends:
+      base >=4.7 && <4.16
+    , containers
+    , deepseq
+    , microlens
+    , primitive
+    , reflection
+    , transformers
+    , vector
+    , vinyl >=0.9.1
+  default-language: Haskell2010
+
+benchmark backprop-mnist-bench
+  type: exitcode-stdio-1.0
+  main-is: bench.hs
+  other-modules:
+      Paths_backprop
+  hs-source-dirs:
+      bench
+  ghc-options: -Wall -Wcompat -Wincomplete-record-updates -Wredundant-constraints -threaded -rtsopts -with-rtsopts=-N -O2
+  build-depends:
+      backprop
+    , base >=4.7 && <5
+    , criterion
+    , deepseq
+    , directory
+    , hmatrix >=0.18
+    , microlens
+    , microlens-th
+    , mwc-random
+    , time
+    , vector
+  default-language: Haskell2010