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pcg-cpp

Documentation and examples for pcg-cpp

About pcg-cpp

Documentation and examples for pcg-cpp

This project links 4 native package records across 2 recorded operating-system releases. Compare the retained versions and architectures below, then open the package for your own release.

These are catalog observations, not a guarantee of installation, compatibility, or upstream support.

Project pictures and package coverage

pcg-cpp repository preview from GitHub
Project repository preview, supplied by GitHub. Open source repository
Fedora 43: 2 package records; Fedora 44: 2 package records. Catalog coverage diagram, not an application screenshot.pcg-cpp: recorded package coverageFedora 432 recordsFedora 442 records
OpenFactory diagram of linked package records. It is not an application screenshot.

Project identity

Project
pcg-cpp
Publisher
Not authoritatively mapped
Native package records
4
Operating systems
fedora-43, fedora-44
License expression
MIT OR Apache-2.0
Metadata completeness
100/100 (not a software quality rating)
Source repository
Open source repository

Source-reported description

The fullest retained description is shown with its source. Distribution packaging descriptions may include downstream details.

This code provides an implementation of the PCG family of random number generators, which are fast, statistically excellent, and offer a number of useful features. Full details can be found at the PCG-Random website (http://www.pcg-random.org/). This version of the code provides many family members – if you just want one simple generator, you may prefer the minimal C version of the library. There are two kinds of generator, normal generators and extended generators. Extended generators provide k dimensional equidistribution and can perform party tricks, but generally speaking most people only need the normal generators. There are two ways to access the generators, using a convenience typedef or by using the underlying templates directly (similar to C++11’s std::mt19937 typedef vs its std::mersenne_twister_engine template). For most users, the convenience typedef is what you want, and probably you’re fine with pcg32 for 32-bit numbers. If you want 64-bit numbers, either use pcg64 (or, if you’re on a 32-bit system, making 64 bits from two calls to pcg32_k2 may be faster).

Description source

Packages by operating system

Compare recorded versions, then open a package for dependency, file, checksum, and repository evidence. Version strings are distribution-specific, not a ranking of newer software.

Fedora 43

  1. pcg-cpp-devel

    Fedora 43 / Unspecified / source pcg-cpp

    0.98.1^20220408git428802d-18.fc43

    PCG Random Number Generation, C++ Edition

    noarch43
  2. pcg-cpp-doc

    Fedora 43 / Unspecified / source pcg-cpp

    0.98.1^20220408git428802d-18.fc43

    Documentation and examples for pcg-cpp

    noarch43

Fedora 44

  1. pcg-cpp-devel

    Fedora 44 / Unspecified / source pcg-cpp

    0.98.1^20220408git428802d-19.fc44

    PCG Random Number Generation, C++ Edition

    noarch44
  2. pcg-cpp-doc

    Fedora 44 / Unspecified / source pcg-cpp

    0.98.1^20220408git428802d-19.fc44

    Documentation and examples for pcg-cpp

    noarch44

Project resources and further reading

Mapping provenance

Only source-backed identity signals create public cross-OS links. A reviewer can later approve or dispute an inferred relationship without rewriting native package history.

No field-level source record is published yet.

pcg-cpp Software and Packages | OpenFactory