@@ -204,7 +204,7 @@ impl Stats for [f64] {
204204 }
205205
206206 fn median ( & self ) -> f64 {
207- self . percentile ( 50 as f64 )
207+ self . percentile ( 50_f64 )
208208 }
209209
210210 fn var ( & self ) -> f64 {
@@ -230,7 +230,7 @@ impl Stats for [f64] {
230230 }
231231
232232 fn std_dev_pct ( & self ) -> f64 {
233- let hundred = 100 as f64 ;
233+ let hundred = 100_f64 ;
234234 ( self . std_dev ( ) / self . mean ( ) ) * hundred
235235 }
236236
@@ -244,7 +244,7 @@ impl Stats for [f64] {
244244 }
245245
246246 fn median_abs_dev_pct ( & self ) -> f64 {
247- let hundred = 100 as f64 ;
247+ let hundred = 100_f64 ;
248248 ( self . median_abs_dev ( ) / self . median ( ) ) * hundred
249249 }
250250
@@ -257,11 +257,11 @@ impl Stats for [f64] {
257257 fn quartiles ( & self ) -> ( f64 , f64 , f64 ) {
258258 let mut tmp = self . to_vec ( ) ;
259259 local_sort ( & mut tmp) ;
260- let first = 25f64 ;
260+ let first = 25_f64 ;
261261 let a = percentile_of_sorted ( & tmp, first) ;
262- let second = 50f64 ;
262+ let second = 50_f64 ;
263263 let b = percentile_of_sorted ( & tmp, second) ;
264- let third = 75f64 ;
264+ let third = 75_f64 ;
265265 let c = percentile_of_sorted ( & tmp, third) ;
266266 ( a, b, c)
267267 }
@@ -281,7 +281,7 @@ fn percentile_of_sorted(sorted_samples: &[f64], pct: f64) -> f64 {
281281 }
282282 let zero: f64 = 0.0 ;
283283 assert ! ( zero <= pct) ;
284- let hundred = 100f64 ;
284+ let hundred = 100_f64 ;
285285 assert ! ( pct <= hundred) ;
286286 if pct == hundred {
287287 return sorted_samples[ sorted_samples. len ( ) - 1 ] ;
@@ -307,7 +307,7 @@ pub fn winsorize(samples: &mut [f64], pct: f64) {
307307 let mut tmp = samples. to_vec ( ) ;
308308 local_sort ( & mut tmp) ;
309309 let lo = percentile_of_sorted ( & tmp, pct) ;
310- let hundred = 100 as f64 ;
310+ let hundred = 100_f64 ;
311311 let hi = percentile_of_sorted ( & tmp, hundred - pct) ;
312312 for samp in samples {
313313 if * samp > hi {
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