Rewarded Observation 16: Cylinder Volume

Artifact Packages
BenchmarksObservation 1Observation 16Observation 32Equality ProxyLoRA History

This package archives the sixteenth rewarded observation in the current training sequence. A tutor prompt about the volume of a cylinder in cubic meters promotes a version that adds the needed cylinder-volume computation.

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Knowledge Change Diff

This update adds import math and defines cylinder_volume_m3 with non-negative radius and height checks.

Show unified diff 
--- kf_03-13T15-48-25-648687.py
+++ kf_03-13T16-01-10-289415.py
@@ -1,4 +1,5 @@
 
+import math
 class Name:
     def __init__(self, name: str):
         self.name = str(name)
@@ -281,3 +282,9 @@
     if radius < 0.0:
         raise ValueError("radius must be non‑negative")
     return (4.0 / 3.0) * math.pi * radius ** 3
+def cylinder_volume_m3(radius_m: float, height_m: float) -> float:
+    radius = float(radius_m)
+    height = float(height_m)
+    if radius < 0.0 or height < 0.0:
+        raise ValueError("radius and height must be non‑negative")
+    return (math.pi * radius ** 2) * height

Observation Summary

Latest (f) is the incumbent theory; Updated (f′) is the candidate being evaluated.

Computation

round(cylinder_volume_m3(0.05, 0.20), 6)

Prompt Context

A cylinder has a radius of 0.05 meters and a height of 0.20 meters. What is its volume in cubic meters, rounded to 6 decimal places? Reply exactly: The volume is <value> cubic meters.

Latest Result

Error: Computation failed: name ‘cylinder_volume_m3’ is not defined

Updated Result

0.001571

Sensor Result

The volume is 0.001571 cubic meters.

Latest Loss

3.312

Updated Loss

1.516

Threshold 0.196

Score +0.782

Score measures how much the updated theory improves on the latest version. When Score exceeds Threshold, the observation succeeds and the update is promoted. See Equality Proxy for calibration details.

Reward DAG Preview

This diagram traces how reward flows backward from the successful output through the code changes that made it possible. First payout-step reward DAG for observation 16, rooted at the rewarded output. The blue node is the rewarded root, the gold node is the payout recipient group, the red nodes are the immediate upstream edit definitions, and the dotted continuation marks the remaining upstream lineage outside this cropped first-slice view.

Observation and Reward Files

Knowledge (Theory) Files

In these implementation artifacts, knowledge is the runtime name for the essay’s executable theory module.