Deterministically encode text as mnemonic adjective-noun pairs.

The same text should be identically encoded across systems. While there are currently more than 800,000 combinations of adjective and noun, collisions (two texts having the same mnemonic) can happen.

Install the pre-compiled version from PyPI:

pip install nemony

Clone the repository, then cd into it. Then run:

pip install -e .

You can use nemony to encode lines of text from a file (the header info goes to stderr).

$ printf 'hello\nworld' > tmp.txt
$ nemony tmp.txt

## MNEMO: Generate adjective-noun mnemonics
Word list version: fancy_telecom
 - Number of adjectives: 581
 - Number of nouns: 1450
 - Combinations: 842450

decorous_block
late_kevin

Or pipe from from stdin.

$ printf 'hello\nworld' | nemony 

## MNEMO: Generate adjective-noun mnemonics
Word list version: fancy_telecom
 - Number of adjectives: 581
 - Number of nouns: 1450
 - Combinations: 842450

decorous_block
late_kevin

You can also run interactively to check one thing at a time. Bear in mind that this encodes the whole text, not one line a time.

$ nemony -i

## MNEMO: Generate adjective-noun mnemonics
Word list version: fancy_telecom
 - Number of adjectives: 581
 - Number of nouns: 1450
 - Combinations: 842450


(Ctrl-C to exit.)
What would you like to encode?

?> hello
decorous_block
?> world
late_kevin
?> hello\nworld
warm_dominic

usage: nemony [-h] [--interactive] [--output [OUTPUT]] [input]

Encode lines of text deterministically as adjective-noun mnemonics.

positional arguments:
  input                 File to read and emit one mnemonic per line. Default STDIN.

options:
  -h, --help            show this help message and exit
  --interactive, -i     Run interactively.
  --output [OUTPUT], -o [OUTPUT]
                        Output file. Default STDOUT.

You can import nemony and use it to encode Python objects, as long as they can be converted to strings.

>>> import nemony as nm
>>> nm.encode('world', sep='-')
'late-kevin'
>>> nm.encode('world', sep='-', n=5)
'peppy-gabriel'
>>> nm.encode(5.)
'live_drum'
>>> nm.encode(['hello', 'world'])
'receding_cheese'

As a convenience, you can also use the SHA-256 hashing functions (which use Python standard library hashlib).

>>> nm.hash('world')
'486ea46224d1bb4fb680f34f7c9ad96a8f24ec88be73ea8e5a6c65260e9cb8a7'
>>> nm.hash('world', n=8)
'486ea462'
>>> nm.hash(5., n=8)
'a19a1584'

Check the Python API at ReadTheDocs.