haskell-cprng-aes 0.6.1-3 source package in Ubuntu
Changelog
haskell-cprng-aes (0.6.1-3) unstable; urgency=medium * Switch Vcs-Git/Vcs-Browser headers to new location. -- Clint Adams <email address hidden> Thu, 03 Dec 2015 14:54:15 -0500
Upload details
- Uploaded by:
- Debian Haskell Group
- Uploaded to:
- Sid
- Original maintainer:
- Debian Haskell Group
- Architectures:
- any all
- Section:
- haskell
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
haskell-cprng-aes_0.6.1-3.dsc | 2.6 KiB | e518cd2ce4f6c555eed23f36bed7d09e3ac882177fa13bb7a7ce33e1737cd39c |
haskell-cprng-aes_0.6.1-3.debian.tar.xz | 2.8 KiB | f24d08bd4c029a45d3c612c3839c79215b02697ed8cd5cfffffa61e68894f836 |
haskell-cprng-aes_0.6.1.orig.tar.gz | 4.3 KiB | 64592a01de8c6683c5e29f538dceee918887ffe211d87214a2e38559d72c21f3 |
Available diffs
- diff from 0.6.1-1 to 0.6.1-3 (1.3 KiB)
No changes file available.
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.