Increase number of benchmark repetitions

Hrovatin · Hrovatin · commit 87d9deb62713 · 2025-03-03T13:41:30.000+01:00
diff --git a/benchmarks/domains/arylhalides_tl_substance.py b/benchmarks/domains/arylhalides_tl_substance.py
@@ -156,7 +156,7 @@ def arylhalides_tl_substance(settings: ConvergenceBenchmarkSettings) -> pd.DataF
 benchmark_config = ConvergenceBenchmarkSettings(
     batch_size=2,
     n_doe_iterations=10,
-    n_mc_iterations=10,
+    n_mc_iterations=50,
 )
 
 arylhalides_tl_substance_benchmark = ConvergenceBenchmark(
diff --git a/benchmarks/domains/direct_arylation_tl_temp.py b/benchmarks/domains/direct_arylation_tl_temp.py
@@ -163,7 +163,7 @@ def direct_arylation_tl_temp(settings: ConvergenceBenchmarkSettings) -> pd.DataF
 benchmark_config = ConvergenceBenchmarkSettings(
     batch_size=2,
     n_doe_iterations=10,
-    n_mc_iterations=10,
+    n_mc_iterations=50,
 )
 
 direct_arylation_tl_temp_benchmark = ConvergenceBenchmark(
diff --git a/benchmarks/domains/easom_tl_noise.py b/benchmarks/domains/easom_tl_noise.py
@@ -214,7 +214,7 @@ def sample_initial_data():
 benchmark_config = ConvergenceBenchmarkSettings(
     batch_size=2,
     n_doe_iterations=10,
-    n_mc_iterations=10,
+    n_mc_iterations=50,
 )
 
 easom_tl_noise_benchmark = ConvergenceBenchmark(
diff --git a/benchmarks/domains/hartmann_tl_inverted_noise.py b/benchmarks/domains/hartmann_tl_inverted_noise.py
@@ -183,7 +183,7 @@ def hartmann_tl_inverted_noise(settings: ConvergenceBenchmarkSettings) -> pd.Dat
 benchmark_config = ConvergenceBenchmarkSettings(
     batch_size=2,
     n_doe_iterations=10,
-    n_mc_iterations=10,
+    n_mc_iterations=50,
 )
 
 hartmann_tl_inverted_noise_benchmark = ConvergenceBenchmark(
diff --git a/benchmarks/domains/michalewicz_tl_noise.py b/benchmarks/domains/michalewicz_tl_noise.py
@@ -200,7 +200,7 @@ def sample_initial_data():
 benchmark_config = ConvergenceBenchmarkSettings(
     batch_size=2,
     n_doe_iterations=10,
-    n_mc_iterations=10,
+    n_mc_iterations=50,
 )
 
 michalewicz_tl_noise_benchmark = ConvergenceBenchmark(

Original file line number	Diff line number	Diff line change
`@@ -156,7 +156,7 @@ def arylhalides_tl_substance(settings: ConvergenceBenchmarkSettings) -> pd.DataF`
`156`	`156`	`benchmark_config = ConvergenceBenchmarkSettings(`
`157`	`157`	`batch_size=2,`
`158`	`158`	`n_doe_iterations=10,`
`159`		`- n_mc_iterations=10,`
	`159`	`+ n_mc_iterations=50,`
`160`	`160`	`)`
`161`	`161`
`162`	`162`	`arylhalides_tl_substance_benchmark = ConvergenceBenchmark(`
Original file line number	Diff line number	Diff line change
`@@ -163,7 +163,7 @@ def direct_arylation_tl_temp(settings: ConvergenceBenchmarkSettings) -> pd.DataF`
`163`	`163`	`benchmark_config = ConvergenceBenchmarkSettings(`
`164`	`164`	`batch_size=2,`
`165`	`165`	`n_doe_iterations=10,`
`166`		`- n_mc_iterations=10,`
	`166`	`+ n_mc_iterations=50,`
`167`	`167`	`)`
`168`	`168`
`169`	`169`	`direct_arylation_tl_temp_benchmark = ConvergenceBenchmark(`
Original file line number	Diff line number	Diff line change
`@@ -214,7 +214,7 @@ def sample_initial_data():`
`214`	`214`	`benchmark_config = ConvergenceBenchmarkSettings(`
`215`	`215`	`batch_size=2,`
`216`	`216`	`n_doe_iterations=10,`
`217`		`- n_mc_iterations=10,`
	`217`	`+ n_mc_iterations=50,`
`218`	`218`	`)`
`219`	`219`
`220`	`220`	`easom_tl_noise_benchmark = ConvergenceBenchmark(`
Original file line number	Diff line number	Diff line change
`@@ -183,7 +183,7 @@ def hartmann_tl_inverted_noise(settings: ConvergenceBenchmarkSettings) -> pd.Dat`
`183`	`183`	`benchmark_config = ConvergenceBenchmarkSettings(`
`184`	`184`	`batch_size=2,`
`185`	`185`	`n_doe_iterations=10,`
`186`		`- n_mc_iterations=10,`
	`186`	`+ n_mc_iterations=50,`
`187`	`187`	`)`
`188`	`188`
`189`	`189`	`hartmann_tl_inverted_noise_benchmark = ConvergenceBenchmark(`
Original file line number	Diff line number	Diff line change
`@@ -200,7 +200,7 @@ def sample_initial_data():`
`200`	`200`	`benchmark_config = ConvergenceBenchmarkSettings(`
`201`	`201`	`batch_size=2,`
`202`	`202`	`n_doe_iterations=10,`
`203`		`- n_mc_iterations=10,`
	`203`	`+ n_mc_iterations=50,`
`204`	`204`	`)`
`205`	`205`
`206`	`206`	`michalewicz_tl_noise_benchmark = ConvergenceBenchmark(`