| 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_xxhash()
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
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