haskell-cprng-aes 0.6.1-6build2 source package in Ubuntu

Changelog

haskell-cprng-aes (0.6.1-6build2) cosmic; urgency=medium

  * Rebuild against new GHC ABI.

 -- Gianfranco Costamagna <email address hidden>  Wed, 04 Jul 2018 15:30:29 +0200

Upload details

Uploaded by:
Gianfranco Costamagna on 2018-07-04
Uploaded to:
Cosmic
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Cosmic release on 2018-07-06 universe haskell

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File Size SHA-256 Checksum
haskell-cprng-aes_0.6.1.orig.tar.gz 4.3 KiB 64592a01de8c6683c5e29f538dceee918887ffe211d87214a2e38559d72c21f3
haskell-cprng-aes_0.6.1-6build2.debian.tar.xz 3.3 KiB bca431eba3adb05b3e9f0e07dbfc6f647d101ecf1b16e263d047b3f910502b9b
haskell-cprng-aes_0.6.1-6build2.dsc 2.5 KiB 3faca52e5235fc11265c6af622513be357e16b4c2c9422d1ffe558b1da5513c1

Available diffs

View changes file

Binary packages built by this source

libghc-cprng-aes-dev: pseudo-random number generator using AES in counter mode

 It contains a simple crypto pseudo-random-number-generator with
 really good randomness property.
 .
 Using ent, a randomness property maker on one 1Mb sample:
 Entropy = 7.999837 bits per byte. Optimum compression would reduce
 the size of this 1048576 byte file by 0 percent. Chi square distribution
 for 1048576 samples is 237.02 Arithmetic mean value of data bytes is
 127.3422 (127.5 = random) Monte Carlo value for Pi is 3.143589568
 (error 0.06 percent).
 .
 Compared to urandom with the same sampling: Entropy = 7.999831 bits per
 byte. Optimum compression would reduce the size of this 1048576 byte file
 by 0 percent. Chi square distribution for 1048576 samples is 246.63
 Arithmetic mean value of data bytes is 127.6347 (127.5 = random). Monte
 Carlo value for Pi is 3.132465868 (error 0.29 percent).
 .
 This package provides a library for the Haskell programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-cprng-aes-doc: pseudo-random number generator using AES in counter mode; documentation

  It contains a simple crypto pseudo-random-number-generator with
 really good randomness property.
 .
 Using ent, a randomness property maker on one 1Mb sample:
 Entropy = 7.999837 bits per byte. Optimum compression would reduce
 the size of this 1048576 byte file by 0 percent. Chi square distribution
 for 1048576 samples is 237.02 Arithmetic mean value of data bytes is
 127.3422 (127.5 = random) Monte Carlo value for Pi is 3.143589568
 (error 0.06 percent).
 .
 Compared to urandom with the same sampling: Entropy = 7.999831 bits per
 byte. Optimum compression would reduce the size of this 1048576 byte file
 by 0 percent. Chi square distribution for 1048576 samples is 246.63
 Arithmetic mean value of data bytes is 127.6347 (127.5 = random). Monte
 Carlo value for Pi is 3.132465868 (error 0.29 percent).
 .
 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-cprng-aes-prof: pseudo-random number generator using AES in counter mode; profiling libraries

 It contains a simple crypto pseudo-random-number-generator with
 really good randomness property.
 .
 Using ent, a randomness property maker on one 1Mb sample:
 Entropy = 7.999837 bits per byte. Optimum compression would reduce
 the size of this 1048576 byte file by 0 percent. Chi square distribution
 for 1048576 samples is 237.02 Arithmetic mean value of data bytes is
 127.3422 (127.5 = random) Monte Carlo value for Pi is 3.143589568
 (error 0.06 percent).
 .
 Compared to urandom with the same sampling: Entropy = 7.999831 bits per
 byte. Optimum compression would reduce the size of this 1048576 byte file
 by 0 percent. Chi square distribution for 1048576 samples is 246.63
 Arithmetic mean value of data bytes is 127.6347 (127.5 = random). Monte
 Carlo value for Pi is 3.132465868 (error 0.29 percent).
 .
 This package provides a library for the Haskell programming language, compiled
 for profiling. See http://www.haskell.org/ for more information on Haskell.