analyze benchmark results

Author: github-actions[bot]

benchmarks.json

@@ -158,5 +158,25 @@
             "max": 18333390745,
             "baselineWeightedEfficiencyScore": 116049828.68333332
         }
+    },
+    "0.33.0": {
+        "stable": {
+            "count": 1083,
+            "mean": 314907220.6518929,
+            "median": 1246413,
+            "standardDeviation": 1802331190.8616369,
+            "min": 99703,
+            "max": 28099594610,
+            "baselineWeightedEfficiencyScore": 31924467.76518929
+        },
+        "experimental": {
+            "count": 59,
+            "mean": 1801505845.2711864,
+            "median": 170862049,
+            "standardDeviation": 4033571519.948209,
+            "min": 1418948,
+            "max": 18595403563,
+            "baselineWeightedEfficiencyScore": 232260568.02711865
+        }
     }
-}
+}

benchmarks.md

@@ -1,3 +1,8 @@
+<!--
+This file is auto-generated by .github/scripts/analyze_benchmarks/markdown.ts
+Do not edit this file manually. Changes will be overwritten.
+-->
+
 # Benchmarks
 
 ## Purpose and Usage
@@ -6,6 +11,93 @@ This document tracks high-level performance changes across Azle versions for com
 
 **For detailed benchmarks showing how different Candid data types perform, see the [benchmarks example](examples/stable/test/end_to_end/candid_rpc/benchmarks/benchmarks.md).** This is the best resource for understanding day-to-day performance in your Azle applications.
 
+## Version `0.33.0`
+
+<table>
+    <tr>
+        <th></th>
+        <th colspan="2">Stable</th>
+        <th colspan="2">Experimental</th>
+    </tr>
+    <tr>
+        <th>Metric</th>
+        <th>Score</th>
+        <th>Change</th>
+        <th>Score</th>
+        <th>Change</th>
+    </tr>
+    <tr>
+        <td>Baseline Weighted Efficiency</td>
+        <td>31_924_467</td>
+        <td><span style="color: red">155.24%</span></td>
+        <td>232_260_568</td>
+        <td><span style="color: red">100.14%</span></td>
+    </tr>
+    <tr>
+        <td colspan="5">&nbsp;</td>
+    </tr>
+    <tr>
+        <th></th>
+        <th>Count</th>
+        <th></th>
+        <th>Count</th>
+        <th></th>
+    </tr>
+    <tr>
+        <td>Method Executions</td>
+        <td>1083</td>
+        <td><span style="color: red">63.10%</span></td>
+        <td>59</td>
+        <td><span style="color: green">-92.93%</span></td>
+    </tr>
+    <tr>
+        <td colspan="5">&nbsp;</td>
+    </tr>
+    <tr>
+        <th></th>
+        <th>Number of Instructions</th>
+        <th></th>
+        <th>Number of Instructions</th>
+        <th></th>
+    </tr>
+    	<tr>
+        <td>Mean</td>
+        <td>314_907_220</td>
+        <td><span style="color: red">158.44%</span></td>
+        <td>1_801_505_845</td>
+        <td><span style="color: red">57.34%</span></td>
+    </tr>
+	<tr>
+        <td>Median</td>
+        <td>1_246_413</td>
+        <td><span style="color: red">42.34%</span></td>
+        <td>170_862_049</td>
+        <td><span style="color: red">3303.46%</span></td>
+    </tr>
+	<tr>
+        <td>Standard Deviation</td>
+        <td>1_802_331_190</td>
+        <td><span style="color: red">36.88%</span></td>
+        <td>4_033_571_519</td>
+        <td><span style="color: red">32.11%</span></td>
+    </tr>
+	<tr>
+        <td>Min</td>
+        <td>99_703</td>
+        <td><span style="color: red">0.20%</span></td>
+        <td>1_418_948</td>
+        <td><span style="color: red">1751.90%</span></td>
+    </tr>
+	<tr>
+        <td>Max</td>
+        <td>28_099_594_610</td>
+        <td><span style="color: red">34.67%</span></td>
+        <td>18_595_403_563</td>
+        <td><span style="color: red">1.43%</span></td>
+    </tr>
+
+</table>
+
 ## Version `0.30.0`
 
 <table>
@@ -702,6 +794,8 @@ This document tracks high-level performance changes across Azle versions for com
 
 </table>
 
+
+
 ---
 
-_Report generated automatically by Azle_
+_Report generated automatically by Azle_