Fix tests that were constructing TrialEstimate

Author: Zentrik

test/GroupsTests.jl

@@ -15,11 +15,15 @@ seteq(a, b) = length(a) == length(b) == length(intersect(a, b))
 
 g1 = BenchmarkGroup(["1", "2"])
 
-t1a = TrialEstimate(Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 32, 1, 2, 3)
+t1a = TrialEstimate(
+    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 32, 1, 2, 3, nothing
+)
 t1b = TrialEstimate(
-    Parameters(; time_tolerance=0.40, memory_tolerance=0.40), 4123, 123, 43, 9
+    Parameters(; time_tolerance=0.40, memory_tolerance=0.40), 4123, 123, 43, 9, nothing
+)
+tc = TrialEstimate(
+    Parameters(; time_tolerance=1.0, memory_tolerance=1.0), 1, 1, 1, 1, nothing
 )
-tc = TrialEstimate(Parameters(; time_tolerance=1.0, memory_tolerance=1.0), 1, 1, 1, 1)
 
 g1["a"] = t1a
 g1["b"] = t1b
@@ -30,9 +34,11 @@ g1similar = similar(g1)
 
 g2 = BenchmarkGroup(["2", "3"])
 
-t2a = TrialEstimate(Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 323, 1, 2, 3)
+t2a = TrialEstimate(
+    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 323, 1, 2, 3, nothing
+)
 t2b = TrialEstimate(
-    Parameters(; time_tolerance=0.40, memory_tolerance=0.40), 1002, 123, 43, 9
+    Parameters(; time_tolerance=0.40, memory_tolerance=0.40), 1002, 123, 43, 9, nothing
 )
 
 g2["a"] = t2a
@@ -151,10 +157,10 @@ groupsa["g1"] = g1
 groupsa["g2"] = g2
 g3a = addgroup!(groupsa, "g3", ["3", "4"])
 g3a["c"] = TrialEstimate(
-    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 6341, 23, 41, 536
+    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 6341, 23, 41, 536, nothing
 )
 g3a["d"] = TrialEstimate(
-    Parameters(; time_tolerance=0.13, memory_tolerance=0.13), 12341, 3013, 2, 150
+    Parameters(; time_tolerance=0.13, memory_tolerance=0.13), 12341, 3013, 2, 150, nothing
 )
 
 groups_copy = copy(groupsa)
@@ -165,10 +171,10 @@ groupsb["g1"] = g1
 groupsb["g2"] = g2
 g3b = addgroup!(groupsb, "g3", ["3", "4"])
 g3b["c"] = TrialEstimate(
-    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 1003, 23, 41, 536
+    Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 1003, 23, 41, 536, nothing
 )
 g3b["d"] = TrialEstimate(
-    Parameters(; time_tolerance=0.23, memory_tolerance=0.23), 25341, 3013, 2, 150
+    Parameters(; time_tolerance=0.23, memory_tolerance=0.23), 25341, 3013, 2, 150, nothing
 )
 
 groupstrial = BenchmarkGroup()

test/TrialsTests.jl

@@ -119,10 +119,10 @@ x, y = rand(randrange), rand(randrange)
 @test ratio(0.0, 0.0) == 1.0
 
 ta = BenchmarkTools.TrialEstimate(
-    BenchmarkTools.Parameters(), rand(), rand(), rand(Int), rand(Int)
+    BenchmarkTools.Parameters(), rand(), rand(), rand(Int), rand(Int), nothing
 )
 tb = BenchmarkTools.TrialEstimate(
-    BenchmarkTools.Parameters(), rand(), rand(), rand(Int), rand(Int)
+    BenchmarkTools.Parameters(), rand(), rand(), rand(Int), rand(Int), nothing
 )
 tr = ratio(ta, tb)
 
@@ -140,10 +140,20 @@ tr = ratio(ta, tb)
 ##################
 
 ta = BenchmarkTools.TrialEstimate(
-    BenchmarkTools.Parameters(; time_tolerance=0.50, memory_tolerance=0.50), 0.49, 0.0, 2, 1
+    BenchmarkTools.Parameters(; time_tolerance=0.50, memory_tolerance=0.50),
+    0.49,
+    0.0,
+    2,
+    1,
+    nothing,
 )
 tb = BenchmarkTools.TrialEstimate(
-    BenchmarkTools.Parameters(; time_tolerance=0.05, memory_tolerance=0.05), 1.00, 0.0, 1, 1
+    BenchmarkTools.Parameters(; time_tolerance=0.05, memory_tolerance=0.05),
+    1.00,
+    0.0,
+    1,
+    1,
+    nothing,
 )
 tr = ratio(ta, tb)
 tj_ab = judge(ta, tb)