Gaussian benchmark times (#6)

Author: MasonProtter

README.md

@@ -100,28 +100,24 @@ f() = sum((sin(i) for i in 1:round(Int, 1000 + 100*randn())))
 ```
 
 ```
-samples: 10000; evals/sample: 3; memory estimate: 0 bytes; allocs estimate: 0
-                           ┌                                        ┐ 
-      [     0.0,  20000.0) ┤▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 9978   
-      [ 20000.0,  40000.0) ┤ 16                                       
-      [ 40000.0,  60000.0) ┤ 3                                        
-      [ 60000.0,  80000.0) ┤ 0                                        
-      [ 80000.0, 100000.0) ┤ 1                                        
-      [100000.0, 120000.0) ┤ 1                                        
-      [120000.0, 140000.0) ┤ 0                                        
-      [140000.0, 160000.0) ┤ 0                                        
-   ns [160000.0, 180000.0) ┤ 0                                        
-      [180000.0, 200000.0) ┤ 0                                        
-      [200000.0, 220000.0) ┤ 0                                        
-      [220000.0, 240000.0) ┤ 0                                        
-      [240000.0, 260000.0) ┤ 0                                        
-      [260000.0, 280000.0) ┤ 0                                        
-      [280000.0, 300000.0) ┤ 0                                        
-      [300000.0, 320000.0) ┤ 0                                        
-      [320000.0, 340000.0) ┤ 1                                        
-                           └                                        ┘ 
-                                            Counts
-min: 6.889 μs (0.00% GC); mean: 9.161 μs (0.00% GC); median: 9.014 μs (0.00% GC); max: 327.208 μs (0.00% GC).
+samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0
+                         ┌                                        ┐ 
+      [ 8000.0,  9000.0) ┤ 12                                       
+      [ 9000.0, 10000.0) ┤▇ 117                                     
+      [10000.0, 11000.0) ┤▇▇▇▇▇▇▇ 635                               
+      [11000.0, 12000.0) ┤▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 1810                
+      [12000.0, 13000.0) ┤▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2959   
+      [13000.0, 14000.0) ┤▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2460         
+   ns [14000.0, 15000.0) ┤▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 1451                    
+      [15000.0, 16000.0) ┤▇▇▇▇▇ 456                                 
+      [16000.0, 17000.0) ┤▇ 89                                      
+      [17000.0, 18000.0) ┤ 9                                        
+      [18000.0, 19000.0) ┤ 1                                        
+      [19000.0, 20000.0) ┤ 0                                        
+      [20000.0, 21000.0) ┤ 1                                        
+                         └                                        ┘ 
+                                          Counts
+min: 8.109 μs (0.00% GC); mean: 12.865 μs (0.00% GC); median: 12.820 μs (0.00% GC); max: 20.459 μs (0.00% GC).
 ```
 
 See also <https://tratt.net/laurie/blog/entries/minimum_times_tend_to_mislead_when_benchmarking.html> for another example of where looking at the whole histogram can be useful in benchmarking.