Generate random "proquint" identifiers. "proquint" stands for
PRO-nouncable QUINT-uplets and were described by Daniel Wilkerson
in https://arxiv.org/html/0901.4016. Each "word" takes one
of \(2^16\) possibilities. A four word proquint has a keyspace
of \(10^19\) possibilities but takes only 23 characters.
Proquint identifiers can be interchanged with integers (though
this is totally optional); see proquint_to_int and
the other functions documented on that page.
proquint(n = 1, n_words = 2L, use_cache = TRUE, use_openssl = FALSE)number of ids to return. If NULL, it instead
returns the generating function
The number of words for each identifier; each word
has 2^16 (65536) possible combinations, a two-word
proquint has 2^32 possible combinations and an
k-word proquint has 2^(k * 16) possible
combinations.
Because there are relatively few combinations per
word, and because constructing short strings is relatively
expensive in R, it may be useful to cache all 65536 possible
words. If TRUE then the first time that this function is
used all words will be cached and the results used - the first
time may take up to ~1/4 of a second and subsequent calls will
be much faster. The identifiers selected will not change with
this option (i.e., given a particular random seed, changing this
option will not affect the identifiers randomly selected).
Use openssl for random number generation, with the primary effect that the identifiers will not be affected by R's random seed (at a small speed cost).
In the abstract of their paper, Wilkerson introduces proquints:
"Identifiers (IDs) are pervasive throughout our modern life. We suggest that these IDs would be easier to manage and remember if they were easily readable, spellable, and pronounceable. As a solution to this problem we propose using PRO-nouncable QUINT-uplets of alternating unambiguous consonants and vowels: proquints."
# A single, two word, proquint
proquint()
# Longer identifier:
proquint(n_words = 5)
# More identifiers
proquint(10)
Run the code above in your browser using DataLab