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Linux/lib/win_minmax.c

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Diff markup

Differences between /lib/win_minmax.c (Version linux-6.12-rc7) and /lib/win_minmax.c (Version ccs-tools-1.8.12)


  1 // SPDX-License-Identifier: GPL-2.0                 1 
  2 /*                                                
  3  * lib/minmax.c: windowed min/max tracker         
  4  *                                                
  5  * Kathleen Nichols' algorithm for tracking th    
  6  * value of a data stream over some fixed time    
  7  * the minimum RTT over the past five minutes.    
  8  * space and constant time per update yet almo    
  9  * the same minimum as an implementation that     
 10  * data in the window.                            
 11  *                                                
 12  * The algorithm keeps track of the best, 2nd     
 13  * values, maintaining an invariant that the m    
 14  * the n'th best >= n-1'th best. It also makes    
 15  * values are widely separated in the time win    
 16  * the worse case error when that data is mono    
 17  * over the window.                               
 18  *                                                
 19  * Upon getting a new min, we can forget every    
 20  * it has no value - the new min is <= everyth    
 21  * by definition and it's the most recent. So     
 22  * every new min and overwrites 2nd & 3rd choi    
 23  * holds for 2nd & 3rd best.                      
 24  */                                               
 25 #include <linux/module.h>                         
 26 #include <linux/win_minmax.h>                     
 27                                                   
 28 /* As time advances, update the 1st, 2nd, and     
 29 static u32 minmax_subwin_update(struct minmax     
 30                                 const struct m    
 31 {                                                 
 32         u32 dt = val->t - m->s[0].t;              
 33                                                   
 34         if (unlikely(dt > win)) {                 
 35                 /*                                
 36                  * Passed entire window withou    
 37                  * choice the new val & 3rd ch    
 38                  * we may have to iterate this    
 39                  * may also be outside the win    
 40                  * that the third choice was i    
 41                  */                               
 42                 m->s[0] = m->s[1];                
 43                 m->s[1] = m->s[2];                
 44                 m->s[2] = *val;                   
 45                 if (unlikely(val->t - m->s[0].    
 46                         m->s[0] = m->s[1];        
 47                         m->s[1] = m->s[2];        
 48                         m->s[2] = *val;           
 49                 }                                 
 50         } else if (unlikely(m->s[1].t == m->s[    
 51                 /*                                
 52                  * We've passed a quarter of t    
 53                  * so take a 2nd choice from t    
 54                  */                               
 55                 m->s[2] = m->s[1] = *val;         
 56         } else if (unlikely(m->s[2].t == m->s[    
 57                 /*                                
 58                  * We've passed half the windo    
 59                  * so take a 3rd choice from t    
 60                  */                               
 61                 m->s[2] = *val;                   
 62         }                                         
 63         return m->s[0].v;                         
 64 }                                                 
 65                                                   
 66 /* Check if new measurement updates the 1st, 2    
 67 u32 minmax_running_max(struct minmax *m, u32 w    
 68 {                                                 
 69         struct minmax_sample val = { .t = t, .    
 70                                                   
 71         if (unlikely(val.v >= m->s[0].v) ||       
 72             unlikely(val.t - m->s[2].t > win))    
 73                 return minmax_reset(m, t, meas    
 74                                                   
 75         if (unlikely(val.v >= m->s[1].v))         
 76                 m->s[2] = m->s[1] = val;          
 77         else if (unlikely(val.v >= m->s[2].v))    
 78                 m->s[2] = val;                    
 79                                                   
 80         return minmax_subwin_update(m, win, &v    
 81 }                                                 
 82 EXPORT_SYMBOL(minmax_running_max);                
 83                                                   
 84 /* Check if new measurement updates the 1st, 2    
 85 u32 minmax_running_min(struct minmax *m, u32 w    
 86 {                                                 
 87         struct minmax_sample val = { .t = t, .    
 88                                                   
 89         if (unlikely(val.v <= m->s[0].v) ||       
 90             unlikely(val.t - m->s[2].t > win))    
 91                 return minmax_reset(m, t, meas    
 92                                                   
 93         if (unlikely(val.v <= m->s[1].v))         
 94                 m->s[2] = m->s[1] = val;          
 95         else if (unlikely(val.v <= m->s[2].v))    
 96                 m->s[2] = val;                    
 97                                                   
 98         return minmax_subwin_update(m, win, &v    
 99 }                                                 
100                                                   

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