Bench and update README.md

Author: github-actions[bot]

github-runners-benchmarks/Julia/benchmark_results.yaml

@@ -1,19 +1,19 @@
 basic_term_benchmark:
   Julia array basic_term:
-    minimum time: "TrialEstimate(30.279 ms)"
+    minimum time: "TrialEstimate(29.152 ms)"
     result: 1.4489630534602132e7
   Julia recursive basic_term:
-    minimum time: "TrialEstimate(84.812 ms)"
+    minimum time: "TrialEstimate(81.070 ms)"
     result: "1.4489630534602132e7"
 mortality:
   Julia MortalityTables.jl:
-    minimum time: "TrialEstimate(229.507 μs)"
+    minimum time: "TrialEstimate(239.946 μs)"
     result: 1904.4865526636793
 savings_benchmark:
   Julia Benchmarks savings:
-    minimum time: "TrialEstimate(119.226 ms)"
+    minimum time: "TrialEstimate(118.603 ms)"
     result: 3.507113709040273e12
 exposures:
   Julia ExperienceAnalysis.jl:
     num_rows: 141281
-    minimum time: "TrialEstimate(29.659 ms)"
+    minimum time: "TrialEstimate(29.284 ms)"

github-runners-benchmarks/Python/benchmark_results.yaml

@@ -1,37 +1,37 @@
 basic_term_benchmark:
   Python array numpy basic_term_m:
-    minimum time: 83.45314299992879 milliseconds
+    minimum time: 81.15190000000894 milliseconds
     result: 14489630.534603368
   Python array pytorch basic_term_m:
-    minimum time: 51.54931000004126 milliseconds
+    minimum time: 48.05233400000475 milliseconds
     result: 14489630.534603368
   Python lifelib basic_term_m:
-    minimum time: 618.0503439999256 milliseconds
+    minimum time: 606.547575999997 milliseconds
     result: 14489630.534601536
   Python recursive numpy basic_term_m:
-    minimum time: 63.08064000006652 milliseconds
+    minimum time: 47.489563999988604 milliseconds
     result: 14489630.534603368
   Python recursive pytorch basic_term_m:
-    minimum time: 75.6699999999455 milliseconds
+    minimum time: 73.68574099999137 milliseconds
     result: 14489630.53460337
 basic_term_me_benchmark:
   Python heavylight numpy basic_term_me:
-    minimum time: 354.6492100000478 milliseconds
+    minimum time: 347.3877970000103 milliseconds
     result: 215146132.0684811
   Python lifelib basic_term_me:
-    minimum time: 1191.792300999964 milliseconds
+    minimum time: 1140.047031999984 milliseconds
     result: 215146132.06848112
   Python recursive numpy basic_term_me:
-    minimum time: 309.30894900006933 milliseconds
+    minimum time: 325.56454799998846 milliseconds
     result: 215146132.0684814
 mortality:
   Python PyMort:
-    minimum time: 9.425531999909253 milliseconds
+    minimum time: 9.101711999988993 milliseconds
     result: 1904.4865526636793
 savings_benchmark:
   Python lifelib cashvalue_me_ex4:
-    minimum time: 596.2715760000492 milliseconds
+    minimum time: 602.367275000006 milliseconds
     result: 3507113709040.141
   Python recursive numpy cashvalue_me_ex4:
-    minimum time: 543.3022800000344 milliseconds
+    minimum time: 541.5200040000059 milliseconds
     result: 3507113709040.124

github-runners-benchmarks/R/benchmark_results.yaml

@@ -1,4 +1,4 @@
 exposures:
   R actxps:
     num_rows: 141281
-    min: 486.248656 ms
+    min: 470.446116 ms

github-runners-benchmarks/README.md

@@ -20,61 +20,63 @@ Benchmarks in this repository:
     * Julia [MortalityTables](https://github.com/JuliaActuary/MortalityTables.jl)
     * Python [Pymort](https://github.com/actuarialopensource/pymort)
 
-The below results are generated by the benchmarking scripts in the folders for each language. These scripts are run automatically by GitHub Actions and populate the results below. ```yaml 
+The below results are generated by the benchmarking scripts in the folders for each language. These scripts are run automatically by GitHub Actions and populate the results below. 
+
+```yaml 
 basic_term_benchmark:
 - Julia array basic_term:
-    minimum time: TrialEstimate(30.279 ms)
+    minimum time: TrialEstimate(29.152 ms)
     result: 1.4489630534602132e7
   Julia recursive basic_term:
-    minimum time: TrialEstimate(84.812 ms)
+    minimum time: TrialEstimate(81.070 ms)
     result: 1.4489630534602132e7
 - Python array numpy basic_term_m:
-    minimum time: 83.45314299992879 milliseconds
+    minimum time: 81.15190000000894 milliseconds
     result: 14489630.534603368
   Python array pytorch basic_term_m:
-    minimum time: 51.54931000004126 milliseconds
+    minimum time: 48.05233400000475 milliseconds
     result: 14489630.534603368
   Python lifelib basic_term_m:
-    minimum time: 618.0503439999256 milliseconds
+    minimum time: 606.547575999997 milliseconds
     result: 14489630.534601536
   Python recursive numpy basic_term_m:
-    minimum time: 63.08064000006652 milliseconds
+    minimum time: 47.489563999988604 milliseconds
     result: 14489630.534603368
   Python recursive pytorch basic_term_m:
-    minimum time: 75.6699999999455 milliseconds
+    minimum time: 73.68574099999137 milliseconds
     result: 14489630.53460337
 basic_term_me_benchmark:
 - Python heavylight numpy basic_term_me:
-    minimum time: 354.6492100000478 milliseconds
+    minimum time: 347.3877970000103 milliseconds
     result: 215146132.0684811
   Python lifelib basic_term_me:
-    minimum time: 1191.792300999964 milliseconds
+    minimum time: 1140.047031999984 milliseconds
     result: 215146132.06848112
   Python recursive numpy basic_term_me:
-    minimum time: 309.30894900006933 milliseconds
+    minimum time: 325.56454799998846 milliseconds
     result: 215146132.0684814
 exposures:
 - Julia ExperienceAnalysis.jl:
-    minimum time: TrialEstimate(29.659 ms)
+    minimum time: TrialEstimate(29.284 ms)
     num_rows: 141281
 - R actxps:
-    min: 486.248656 ms
+    min: 470.446116 ms
     num_rows: 141281
 mortality:
 - Julia MortalityTables.jl:
-    minimum time: TrialEstimate(229.507 μs)
+    minimum time: TrialEstimate(239.946 μs)
     result: 1904.4865526636793
 - Python PyMort:
-    minimum time: 9.425531999909253 milliseconds
+    minimum time: 9.101711999988993 milliseconds
     result: 1904.4865526636793
 savings_benchmark:
 - Julia Benchmarks savings:
-    minimum time: TrialEstimate(119.226 ms)
+    minimum time: TrialEstimate(118.603 ms)
     result: 3.507113709040273e12
 - Python lifelib cashvalue_me_ex4:
-    minimum time: 596.2715760000492 milliseconds
+    minimum time: 602.367275000006 milliseconds
     result: 3507113709040.141
   Python recursive numpy cashvalue_me_ex4:
-    minimum time: 543.3022800000344 milliseconds
+    minimum time: 541.5200040000059 milliseconds
     result: 3507113709040.124
 ```