haskell-store 0.7.16-1build1 source package in Ubuntu

Changelog

haskell-store (0.7.16-1build1) lunar; urgency=medium

  * Rebuild against new GHC ABI.

 -- Gianfranco Costamagna <email address hidden>  Sun, 11 Dec 2022 23:43:22 +0100

Upload details

Uploaded by:
Gianfranco Costamagna
Uploaded to:
Lunar
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
haskell-store_0.7.16.orig.tar.gz 42.4 KiB 4f7fc5853e17f0703165d0c3dc28b24fd7e09b7720123faf3fd33389994cb688
haskell-store_0.7.16-1build1.debian.tar.xz 4.1 KiB e97d8ad18f8946fa94faf3439ea389c95d3b8ae525daeca75d550b3c7d7661ec
haskell-store_0.7.16-1build1.dsc 4.6 KiB 3d4d1a674e3f0ae51a1ed3ac7f37330f980090bc4cd37fcdffed8383bd052617

View changes file

Binary packages built by this source

libghc-store-dev: Fast binary serialization

 The 'store' package provides efficient binary serialization. There are a
 couple features that particularly distinguish it from most prior Haskell
 serialization libraries:
 .
  * Its primary goal is speed. By default, direct machine representations
    are used for things like numeric values (Int, Double, Word32, etc)
    and buffers (Text, ByteString, Vector, etc). This means that much of
    serialization uses the equivalent of memcpy.
  * Instead of implementing lazy serialization / deserialization involving
    multiple input / output buffers, peek and poke always work with a
    single buffer. This buffer is allocated by asking the value for its
    size before encoding. This simplifies the encoding logic, and allows
    for highly optimized tight loops.
  * store can optimize size computations by knowing when some types always
    use the same number of bytes. This allows for computing the byte size
    of a `Vector Int32` by just doing `length v * 4`.
 .
 It also features:
 .
  * Optimized serialization instances for many types from base, vector,
    bytestring, text, containers, time, template-haskell, and more.
  * TH and GHC Generics based generation of Store instances for datatypes
  * TH generation of testcases
 .
 This package provides a library for the Haskell programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-store-doc: Fast binary serialization; documentation

 The 'store' package provides efficient binary serialization. There are a
 couple features that particularly distinguish it from most prior Haskell
 serialization libraries:
 .
  * Its primary goal is speed. By default, direct machine representations
    are used for things like numeric values (Int, Double, Word32, etc)
    and buffers (Text, ByteString, Vector, etc). This means that much of
    serialization uses the equivalent of memcpy.
  * Instead of implementing lazy serialization / deserialization involving
    multiple input / output buffers, peek and poke always work with a
    single buffer. This buffer is allocated by asking the value for its
    size before encoding. This simplifies the encoding logic, and allows
    for highly optimized tight loops.
  * store can optimize size computations by knowing when some types always
    use the same number of bytes. This allows for computing the byte size
    of a `Vector Int32` by just doing `length v * 4`.
 .
 It also features:
 .
  * Optimized serialization instances for many types from base, vector,
    bytestring, text, containers, time, template-haskell, and more.
  * TH and GHC Generics based generation of Store instances for datatypes
  * TH generation of testcases
 .
 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-store-prof: Fast binary serialization; profiling libraries

 The 'store' package provides efficient binary serialization. There are a
 couple features that particularly distinguish it from most prior Haskell
 serialization libraries:
 .
  * Its primary goal is speed. By default, direct machine representations
    are used for things like numeric values (Int, Double, Word32, etc)
    and buffers (Text, ByteString, Vector, etc). This means that much of
    serialization uses the equivalent of memcpy.
  * Instead of implementing lazy serialization / deserialization involving
    multiple input / output buffers, peek and poke always work with a
    single buffer. This buffer is allocated by asking the value for its
    size before encoding. This simplifies the encoding logic, and allows
    for highly optimized tight loops.
  * store can optimize size computations by knowing when some types always
    use the same number of bytes. This allows for computing the byte size
    of a `Vector Int32` by just doing `length v * 4`.
 .
 It also features:
 .
  * Optimized serialization instances for many types from base, vector,
    bytestring, text, containers, time, template-haskell, and more.
  * TH and GHC Generics based generation of Store instances for datatypes
  * TH generation of testcases
 .
 This package provides a library for the Haskell programming language, compiled
 for profiling. See http://www.haskell.org/ for more information on Haskell.