tests etc

src/trials.jl

@@ -323,12 +323,13 @@ function asciihist(bins, height=1)
 end
 
 function hist_round_low(times, lo=minimum(times), av=mean(times))
-    _min = min(lo, av / 1.03)  # demand low edge 3% from mean, or further
-    return round(_min, RoundDown; sigdigits = 2)
+    av < 0.1 && return 0.0  # stop at 0, not 0.01 ns, in trivial cases
+    raw = min(lo, av / 1.03)  # demand low edge 3% from mean, or further
+    return round(raw, RoundDown; sigdigits = 2)
 end
 function hist_round_high(times, av=mean(times), hi=quantile(times, 0.99))
-    _max = max(1, hi, 1.03 * av)  # demand high edge 3% above mean, and at least 1ns
-    return round(_max, RoundUp; sigdigits = 2)
+    raw = max(1, hi, 1.03 * av)  # demand high edge 3% above mean, and at least 1ns
+    return round(raw, RoundUp; sigdigits = 2)
 end
 
 _summary(io, t, args...) = withtypename(() -> print(io, args...), io, t)

test/TrialsTests.jl

@@ -237,32 +237,31 @@ else
 
 end
 
+# Trial with 0 samples
 t0 = BenchmarkTools.Trial(BenchmarkTools.Parameters(), [], [], 0, 0)
 @test sprint(show, "text/plain", t0) == "Trial: 0 samples"
 
+# Trial with 1 sample
 t001 = BenchmarkTools.Trial(BenchmarkTools.Parameters(), [pi * 10^6], [0], 0, 0)
 s001 = sprint(show, "text/plain", t001)
 @test contains(s001, "┌ Trial:")  # box starting at the type
 @test contains(s001, "│  time 3.142 ms")
 @test contains(s001, "│  0 allocations\n")  # doesn't print 0 bytes after this
 @test contains(s001, "└  1 sample, with 1 evaluation")
 
+# Histogram utils
 @test BenchmarkTools.asciihist([1,2,3]) == ['▃' '▆' '█']
 @test BenchmarkTools.asciihist([1,2,0,3], 2) == [' ' '▃' ' ' '█'; '▇' '█' '▁' '█']
 
 @test BenchmarkTools.histogram_bindata([1.1, 3.1, 99], 1:3) == [1,0,2]
 @test BenchmarkTools.histogram_bindata([1.1, -99, 3.1], 1:3.0) == [1,0,1]
 
+# Trials with several samples
 t003 = BenchmarkTools.Trial(BenchmarkTools.Parameters(), [0.01, 0.02, 0.04], [0,0,0], 0, 0)
 s003 = sprint(show, "text/plain", t003)
 @test contains(s003, " 1 ns +")  # right limit is 1ns
 @test contains(s003, "min 0.010 ns, median 0.020 ns, mean 0.023 ns, 99ᵗʰ 0.040 ns")
 
-@test sprint(show, t001) == "Trial(3.142 ms)"
-@test sprint(show, t003) == "Trial(0.010 ns)"
-@test sprint(show, "text/plain", [t001, t003]) == "2-element Vector{BenchmarkTools.Trial}:\n 3.142 ms\n 0.010 ns"
-@test_skip sprint(show, "text/plain", [t0]) == "1-element Vector{BenchmarkTools.Trial}:\n ??"
-
 t123 = BenchmarkTools.Trial(BenchmarkTools.Parameters(), [1,2,3.], [0,0,0.], 0, 0)
 s123 = sprint(show, "text/plain", t123)
 @test contains(s123, "min 1.000 ns, median 2.000 ns, mean 2.000 ns")
@@ -282,6 +281,12 @@ s456 = sprint(show, "text/plain", t456)
 @test contains(s456, "│  █▁▁▁▁▁▁▁")
 @test contains(s456, "└  100 ns ")  # box closing + left endpoint without decimals
 
+# Compact show & arrays of Trials
+@test sprint(show, t001) == "Trial(3.142 ms)"
+@test sprint(show, t003) == "Trial(0.010 ns)"
+@test sprint(show, "text/plain", [t001, t003]) == "2-element Vector{BenchmarkTools.Trial}:\n 3.142 ms\n 0.010 ns"
+@test_skip sprint(show, "text/plain", [t0]) == "1-element Vector{BenchmarkTools.Trial}:\n ??"
+
 #=
 
 # Some visual histogram checks, in which mean/median should highlight a bar, or not: