qqid-package: QQIDs - human-compatible representation of 128-bit numbers

In qqid: Generation and Support of QQIDs - A Human-Compatible Representation of 128-bit Numbers

Description

The string "bird.carp.7TsBWtwqtKAeCTNk8f" is a "QQID": a representation of a 128-bit number, constructed from two "cues" of short, common, English words, and Base64 encoded characters. The primary intended use of QQIDs is as random unique identifiers, e.g. database keys like the "UUIDs" defined in the RFC 4122 Internet standard. QQIDs can be identically interconverted with UUIDs, IPv6 addresses, MD5 hashes etc., and are suitable for a host of applications in which identifiers are read by humans. They are compact, can safely be transmitted in binary and text form, can be used as components of URLs, and it can be established at a glance whether two QQIDs are different or potentially identical. The qqid package contains functions to retrieve true, quantum-random QQIDs, to generate pseudo- random QQIDs, to validate them, and to interconvert them with other 128-bit number representations.

RNG safe

Care has been taken to ensure that the qqid functions have little risk of inadvertently changing the RNG's global initialization state .Random.seed. Your random-reproducible simulation should not be affected if you generate a few QQIDs in-between.

Author(s)

(c) 2019 Boris Steipe, licensed under MIT (see file LICENSE in this package).

References

See the qqid README on the Web for more Details. DOI:10.5281/zenodo.2648318

See Also

qUUID,

Examples

  # Use rngQQID() to get a few QQIDS with R's internal RNG
  rngQQID(7, method = "R")

  # That's fine, but it's better to initialize the RNG with a true-random
  # number. You need to be connected to the Internet ...
  ## Not run: 
    rngQQID(7, method = "q")
    # ... of course you won't really notice
    # the difference. Except that it takes a
    # few seconds to fetch the random seed from
    # the quantum-random number server at the
    # Australian National University in Canberra
  
## End(Not run)

  # The best way is to fetch a block of  true-random numbers from the ANU
  # in Canberra and to cache them in a closure...

  ## Not run: 
    qQQID <- qQQIDfactory()   # takes a few seconds to fabricate the closure

    # then, getting QQIDs works without latency
    qQQID(1)
    qQQID(1)
    qQQID(2)
    qQQID(3)
    qQQID(5)
    qQQID(8)

    # if you are curious, you can peek what's next in the cache...
    qQQID(5, inspectOnly = TRUE)
    # (the numbers are not returned, only
    #  message()'d so you can't accidentally
    #  assign them)

    # ... and then retrieve some of those numbers
    qQQID(2)

    # of course, these two are now no longer on the cache.
    qQQID(5, inspectOnly = TRUE)

    # Now, you have just looked at a dozen of 128-bit random numbers, and had
    # no trouble figuring out which ones were the same, and which ones were
    # different. That's the point of QQIDs.
  
## End(Not run)

qqid documentation built on May 2, 2019, 12:19 p.m.