libmath-random-oo-perl 0.22-3 source package in Ubuntu
Changelog
libmath-random-oo-perl (0.22-3) unstable; urgency=medium
[ gregor herrmann ]
* debian/watch: use uscan version 4.
[ Debian Janitor ]
* Trim trailing whitespace.
* Bump debhelper from old 10 to 12.
* Set debhelper-compat version in Build-Depends.
* Set upstream metadata fields: Bug-Database, Bug-Submit, Repository,
Repository-Browse.
* Bump debhelper from old 12 to 13.
-- Jelmer Vernooij <email address hidden> Mon, 12 Dec 2022 18:36:20 +0000
Upload details
- Uploaded by:
- Debian Perl Group
- Uploaded to:
- Sid
- Original maintainer:
- Debian Perl Group
- Architectures:
- all
- Section:
- perl
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | perl | |
| Noble | release | universe | perl | |
| Mantic | release | universe | perl | |
| Lunar | release | universe | perl |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| libmath-random-oo-perl_0.22-3.dsc | 2.2 KiB | 83c8cbea5d597001ddb3560365f4c06a58097b3d70efdea198851d23c5caaa13 |
| libmath-random-oo-perl_0.22.orig.tar.gz | 19.6 KiB | a2564f0570e93cc23033883fcf94442c1be6890509256a2a80a79ce75362fd42 |
| libmath-random-oo-perl_0.22-3.debian.tar.xz | 2.9 KiB | 3abffa18f8ad764ba9e42abbb0767bce810664877505c96cb40398ef437bcded |
Available diffs
- diff from 0.22-2 to 0.22-3 (1.0 KiB)
No changes file available.
Binary packages built by this source
- libmath-random-oo-perl: consistent object-oriented interface for generating random numbers
CPAN contains many modules for generating random numbers in various ways and
from various probability distributions using pseudo-random number generation
algorithms or other entropy sources. (The /"SEE ALSO" section has some
examples.) Unfortunately, no standard interface exists across these modules.
Math::Random::OO defines an abstract interface for random number generation.
Subclasses of this model will implement specific types of random number
generators or will wrap existing random number generators.
.
This consistency will come at the cost of some efficiency, but will enable
generic routines to be written that can manipulate any provided random number
generator that adheres to the interface. E.g., a stochastic simulation could
take a number of user-supplied parameters, each of which is a
Math::Random::OO subclass object and which represent a stochastic variable
with a particular probability distribution.
