hash_animal | R Documentation |
Adjective-animal hash
hash_animal(x, n_adj = 2)
hash_raw_animal(x, n_adj = 2)
hash_obj_animal(x, n_adj = 2, serialize_version = 2)
x |
Character vector. |
n_adj |
Number of adjectives to use. It must be from 0 through 3. |
serialize_version |
Workspace format version to use, see
|
It uses the first 13 hexadecimal characters (out of the 32) of the MD5 hash of the input, and converts them into an adjective-animal form to create a human readable hash.
hash_animal()
uses 1748 animal names and
8946 different adjectives. The number of
different hashes you can get for different values of n_adj
:
n_adj | size of the hash table space |
0 | 1,748 |
1 | 15,637,608 |
2 | 139,894,041,168 |
3 | 1,251,492,092,288,928 |
The list of adjectives and animals comes from the ids package,
and in turn from
https://github.com/a-type/adjective-adjective-animal, and
from https://gfycat.com
(now gone).
hash_raw_animal()
calculates the adjective-animal hash of
the bytes of a raw vector.
hash_obj_animal()
calculates the adjective-animal hash of
an R object. The object is serialized into a binary vector first.
A data frame with columns
hash
: the hash value, a string.
words
: list column with the adjectives and the animal name in a
character vector.
hash_raw_animal()
and hash_obj_animal()
return a list
with entries:
hash
: the hash value, a string,
'words: the adjectives and the animal name in a character vector.
the ids package for generating random adjective-animal ids
Other hash functions:
hash_emoji()
,
hash_md5()
,
hash_sha1()
,
hash_sha256()
hash_animal(c("foo", "bar"))
# if you increase `n_adj`, the shorter hash is a suffix of the longer:
hash_animal("cli package", 0)$hash
hash_animal("cli package", 1)$hash
hash_animal("cli package", 2)$hash
hash_animal("cli package", 3)$hash
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.