RandomizedWords

Uses the Markov chain generation technique to generate new nonsense words based on a given word list. If no word list is specified, this library uses a Latin word list as seed data. NOTE: no effort is made to prevent specific words from appearing in the output, so if you use a word list that contains "swear" words, you are likely to get swear words in the output.

There are many libraries like it, but this one is mine.

Installation

Add this line to your application's Gemfile:

gem 'randomized_words'

And then execute:

$ bundle

Or install it yourself as:

$ gem install randomized_words

Usage

Words

From Ruby:

>> require 'randomized_words'
>> gen = RandomizedWords::Words.new
=> <RandomizedWords::Words words=(3713 items) letter_count=nil min_length=nil max_length=nil>
>> 5.times { puts gen.word }
favia
tromistia
spalista
vens
ose

Can also be used from the command line with the randomized_words command.

$ gem install randomized_words
$ randomized_words -w 10 --min 3 --max 12 -f $HOME/Documents/Books/the-enchirdion-of-epictetus__the-manual.txt
diat
accultso
immouldhin
purtiever
wictiontsods
poverpea
oppril
tiou
anglenta
marelyvl

RandomizedWords::Words.new accepts up to four arguments:

require 'randomized_words'

words = RandomizedWords::Words.parse_file('/usr/share/dict/words')
letter_count = 2
min_length = 3
max_length = 10

generator = RandomizedWords::Words.new words, letter_count, min_length, max_length
puts generator
# => <RandomizedWords::Words words=(234369 items) letter_count=2 min_length=3 max_length=10>
20.times { puts generator.word }
# => rectualit
# => inscaterne
# => psemi
# => pegaloke
# => urag
# => monan
# => fletrismp
# => semonona
# => raystop
# => agerr
# => being
# => pautendwyh
# => foramin
# => curartic
# => mentemolde
# => sepogra
# => painalif
# => vapidykem
# => quinont
# => welyasgi

All arguments are optional.

• words is an array of strings. You can use RandomizedWords::Words.parse_file to generate a useable word list from a file path.
• letter_count is the length of strings to consider when generating "next steps" for the Markov chain. (the ngram size)
• min_length and max_length are the minimum and maximum length of generated words.

When given min length or max length values, this library won't exclusively use the Markov chain generation methodology so longer words may "restart" in the middle. Other than that, everything that comes out should look like it could be in the original word list.

RandomizedWords::Words.parse_file takes a file path as an argument and returns an Array of words with spaces, numbers, and punctuation taken out.

Colors

colors = RandomizedWords::Colors.new

puts colors.hex
puts colors.rgb
puts colors.hsl
puts colors.name

# 171413
# 25,21,21
# 255,240,229
# lightgray

RandomizedWords::Colors object can produce RGB, HSL, CSS hex, or CSS color name values. All values are returned as strings.

RGB and HSL are three integers in the range 0 to 255 exclusive, joined in a string with comma separators.

Seeded Randomness

You can optionally set a seed value for your color or word generator to make it produce values in a predictable order.

colors_1 = RandomizedWords::Colors.new
colors_2 = RandomizedWords::Colors.new

colors_1.seed = "this is a random seed value"
colors_2.seed = "this is a random seed value"

puts colors_1.hex
puts colors_2.hex
puts colors_1.rgb
puts colors_2.rgb

# 161312
# 161312
# 23,20,19
# 23,20,19

You could use this method to

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/abachman/randomized_words. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.

mnemonic_word_list.txt is taken from https://gist.github.com/fogleman/c4a1f69f34c7e8a00da8 by github.com/fogelman.

Code of Conduct

Everyone interacting in the RandomizedWords project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.