# Random values

Now that we have a way of producing random data, how can we convert it to the type of value we want?

This is a trick question: we need to know both the range we want and the type of distribution of this value (which is what the `next` section is all about).

For convenience, all generators automatically implement the `Rng` trait, which provides short-cuts to a few ways of generating values. This has several convenience functions for producing uniformly distributed values:

• `gen` generates an unbiased random value from a range appropriate for the type. For integers this is normally the full representable range (e.g. from `0u32` to `std::u32::MAX`), for floats this is between 0 and 1, and some other types are supported, including arrays and tuples. More on this in the next section.
• `gen_range` generates an unbiased random value with given bounds `low` (inclusive) and `high` (exclusive)
• `fill` and `try_fill` are optimised functions for filling any byte or integer slice with random values

It also has convenience functions for producing non-uniform boolean values:

Finally, it has a function to sample from arbitrary distributions:

Examples:

``````
# #![allow(unused_variables)]
#fn main() {
# extern crate rand;
use rand::Rng;
let mut rng = rand::thread_rng();

// an unbiased integer over the entire range:
let i: i32 = rng.gen();

// a uniformly distributed value between 0 and 1:
let x: f64 = rng.gen();

// simulate rolling a die:
let roll = rng.gen_range(1, 7);
#}``````

Additionally, the `random` function is a short-cut to `gen` on the `thread_rng`:

``````
# #![allow(unused_variables)]
#fn main() {
if rand::random() {
println!("we got lucky!");
}
#}``````