Struct rand::distributions::range::Range
[−]
[src]
pub struct Range<X> {
low: X,
range: X,
accept_zone: X,
}rand): use rand from crates.io
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 = 0,
high = 170, 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.
Fields
low | Unstable ( rand): use |
range | Unstable ( rand): use |
accept_zone | Unstable ( rand): use |
Methods
impl<X: SampleRange + PartialOrd> Range<X>
fn new(low: X, high: X) -> Range<X>
rand): use rand from crates.io
Create a new Range instance that samples uniformly from
[low, high). Panics if low >= high.