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An R port of the hashids library. hashids generates YouTube-like ids (hashes) from integers or vector of integers. Hashes generated from integers are relatively short, unique and non-sequential and can be used to generate unique ids for URLs and hide database row numbers from the user. By default hashids will avoid generating common English cursewords by preventing certain letters being next to each other.
For example, integers like 1
, 2
and
3
will be encoded as strings like NV
,
6m
and yD
respectively. Vectors like
c(1, 2, 3, 4)
will be encoded as a string like
agHLu9hm
and c(1, 1, 1, 1)
as
2bHEH5HY
.
Install using devtools. If you don’t have devtools install using
install.packages('devtools')
from your R session. Install
using devtools::install_github('ALShum/hashids-r')
.
Set your salt, min_length and any other settings using the
hashid_settings
function – this will generate a list of
important parameters for encoding and decoding:
h = hashid_settings(salt = 'this is my salt', min_length = 5)
Encode requires an integer and the settings as a list of parameters:
encode(1234, h ) #"ABBQA"
encode(c(1, 2, 3, 4), h) #"agHLu9hm"
Decode follows a similar workflow:
decode("ABBQA", h) #1234
decode("agHLu9hm", h) #c(1, 2, 3, 4)
hashids was originally written by Ivan Akimov. This version hashids was translated along with some of the unit tests from python version of hashids written by David Aurelio. For more information please go to http://www.hashids.org.
Compatible with version 1.0.* of the javascript version of hashids.
Does my code suck? Contact me and tell me! @notalexshum on twitter more info about me @ http://www.ALShum.com.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.