.. | ||
bench | ||
example | ||
test | ||
index.js | ||
package.json | ||
README.markdown |
deck
Uniform and weighted shuffling and sampling for node.
examples
uniform shuffle
shuffle.js:
var deck = require('deck');
var xs = deck.shuffle([ 1, 2, 3, 4 ]);
console.log(xs);
output:
$ node shuffle.js
[ 1, 4, 2, 3 ]
uniform sample
pick.js:
var deck = require('deck');
var x = deck.pick([ 1, 2, 3, 4 ]);
console.log(x);
output:
$ node pick.js
2
weighted shuffle
wshuffle.js:
var deck = require('deck');
var xs = deck.shuffle({
a : 10,
b : 8,
c : 2,
d : 1,
e : 1,
});
console.log(xs);
output:
$ node wshuffle.js
[ 'b', 'a', 'c', 'd', 'e' ]
weighted sample
wpick.js:
var deck = require('deck');
var x = deck.pick({
a : 10,
b : 8,
c : 2,
d : 1,
e : 1,
});
console.log(x);
output:
$ node wpick.js
a
methods
Note: both deck(xs).pick()
and deck.pick(xs)
styles work.
deck.shuffle(xs)
Return a new shuffled xs
without mutating the original.
If xs
is an Array, return a new shuffled Array based on a unifrom
distribution.
Otherwise if xs
is an object, return a new shuffled Array of xs
's visible
keys based on the value weights of xs
.
deck.pick(xs)
Sample xs
without mutating xs
.
If xs
is an Array, return a random element from xs
with a uniform
distribution.
Otherwise if xs
is an object, return a random key from xs
biased by its
normalized value.
deck.normalize(xs)
Return a new xs
object where the values have been divided by the sum of all
the values such that the sum of all the values in the return object is 1.
If any weights are < 0
normalize throws an error.
installation
With npm:
npm install deck