pub fn ccdf_lower_bound<'a>(&'a self) -> impl Iterator<Item=(u64, f64)>+'a {
        let mut ccdf = self.ccdf();
        let mut cur_v = ccdf.next().map(|(v, _, _)| v);
        ccdf.map(move |(v, f, _)| {
            let prev_v = cur_v.unwrap();
            cur_v = Some(v);
            (prev_v, f)
        })
    }
/// Outputs an upper bound of the complementary cumulative distribution function (ccdf) of the samples.
///
/// You can use these points to plot with linear interpolation and never report intermediate
/// sample values that overestimate quantiles. In other words, all the actual quantile values will be above the
/// reported curve.
Outputs an upper bound of the complementary cumulative distribution function (ccdf) of the samples.
You can use these points to plot with linear interpolation and never report intermediate
sample values that overestimate quantiles. In other words, all the actual quantile values will be above the
reported curve.
Outputs an upper bound of the complementary cumulative distribution function ( ccdf ) of the samples . You can use these points to plot with linear interpolation and never report intermediate sample values that overestimate quantiles . In other words all the actual quantile values will be above the reported curve .
pub fn ccdf_lower_bound<'a>(&'a self) -> impl Iterator<Item=(u64, f64)>+'a {
        let mut ccdf = self.ccdf();
        let mut cur_v = ccdf.next().map(|(v, _, _)| v);
        ccdf.map(move |(v, f, _)| {
            let prev_v = cur_v.unwrap();
            cur_v = Some(v);
            (prev_v, f)
        })
    }
pub fn ccdf_lower_bound < ' a > ( & ' a self ) -> impl Iterator < Item = ( u64 , f64 ) > + ' a { let mut ccdf = self . ccdf ( ) ; let mut cur_v = ccdf . next ( ) . map ( | ( v , _ , _ ) | v ) ; ccdf . map ( move | ( v , f , _ ) | { let prev_v = cur_v . unwrap ( ) ; cur_v = Some ( v ) ; ( prev_v , f ) } ) }
Outputs an upper bound of the complementary cumulative distribution function (ccdf) of the samples.
Outputs an upper bound of the complementary cumulative distribution function ( ccdf ) of the samples .
&'a self
&'a self