pub struct Range<X> { /* private fields */ }
Expand description

Sample values uniformly between two bounds.

This gives a uniform distribution (assuming the RNG used to sample it is itself uniform & the SampleRange implementation for the given type is correct), even for edge cases like low = 0u8, high = 170u8, for which a naive modulo operation would return numbers less than 85 with double the probability to those greater than 85.

Types should attempt to sample in [low, high), i.e., not including high, but this may be very difficult. All the primitive integer types satisfy this property, and the float types normally satisfy it, but rounding may mean high can occur.

Example

use sgx_rand::distributions::{IndependentSample, Range};

fn main() {
    let between = Range::new(10, 10000);
    let mut rng = sgx_rand::thread_rng();
    let mut sum = 0;
    for _ in 0..1000 {
        sum += between.ind_sample(&mut rng);
    }
    println!("{}", sum);
}

Implementations

Create a new Range instance that samples uniformly from [low, high). Panics if low >= high.

Trait Implementations

Returns a copy of the value. Read more
Performs copy-assignment from source. Read more
Formats the value using the given formatter. Read more
Generate a random value.
Generate a random value of Support, using rng as the source of randomness. Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of [From]<T> for U chooses to do.

The resulting type after obtaining ownership.
Creates owned data from borrowed data, usually by cloning. Read more
Uses borrowed data to replace owned data, usually by cloning. Read more
The type returned in the event of a conversion error.
Performs the conversion.
The type returned in the event of a conversion error.
Performs the conversion.