homepage: http://hub.darcs.net/thielema/netlib-comfort-array/
changelog-type: ''
hash: c6590e7b0e010240bb4260b34b4199d33c2cca9678b414bb0555db28d46701d2
test-bench-deps: {}
maintainer: Henning Thielemann <haskell@henning-thielemann.de>
synopsis: Helper modules for comfort-array wrappers to BLAS and LAPACK
changelog: ''
basic-deps:
  netlib-ffi: ! '>=0.0.1 && <0.2'
  base: ! '>=4.5 && <5'
  comfort-array: ! '>=0.3 && <0.4'
  transformers: ! '>=0.4 && <0.6'
all-versions:
- '0.0'
author: Henning Thielemann <haskell@henning-thielemann.de>
latest: '0.0'
description-type: haddock
description: |-
  Netlib is a collection of packages for efficient numeric linear algebra.
  Most prominent parts of Netlib are BLAS and LAPACK.
  These packages contain functions for matrix computations,
  solution of simultaneous linear equations and eigenvalue problems.

  This package provides definitions shared by
  the packages @blas-comfort-array@ and @lapack-comfort-array@.
license-name: BSD-3-Clause

homepage: http://hub.darcs.net/thielema/netlib-comfort-array/
changelog-type: ''
hash: 2e3079c40c6db9745661dbc6b18a47446ede91d34763fbba12b9c2191a5b2144
test-bench-deps: {}
maintainer: Henning Thielemann <haskell@henning-thielemann.de>
synopsis: Helper modules for comfort-array wrappers to BLAS and LAPACK
changelog: ''
basic-deps:
  netlib-ffi: ! '>=0.0.1 && <0.2'
  base: ! '>=4.5 && <5'
  comfort-array: ! '>=0.3 && <0.5'
  transformers: ! '>=0.4 && <0.6'
all-versions:
- '0.0'
- 0.0.0.1
author: Henning Thielemann <haskell@henning-thielemann.de>
latest: 0.0.0.1
description-type: haddock
description: |-
  Netlib is a collection of packages for efficient numeric linear algebra.
  Most prominent parts of Netlib are BLAS and LAPACK.
  These packages contain functions for matrix computations,
  solution of simultaneous linear equations and eigenvalue problems.

  This package provides definitions shared by
  the packages @blas-comfort-array@ and @lapack-comfort-array@.
license-name: BSD-3-Clause

Update from Hackage at 2019-05-24T04:28:58Z
Update from Hackage at 2019-05-24T04:28:58Z
