Test Log - _06_learning_zone

Tested 2026-07-20 against gpt-5.5 through OpenAIResponses, Agno 2.7.4.

basic.py

Status: PASS

Description: Binary exact-answer rollouts followed by learning_zone().

Result: easy-anchor passed 4/4 (1.00), edge-e 4/4 (1.00), and edge-pi 2/4 (0.50). learning_zone() returned only edge-pi, matching the strict binary definition 0 < pass_rate < 1.

select_middle_band.py

Status: PASS

Description: Explicit selection of task rows with a strict partial pass rate.

Result: easy passed 4/4 (1.00), candidate-a 3/4 (0.75), and candidate-b 4/4 (1.00). The explicit filter selected only candidate-a.

The first edge candidate was too slow: its calibration scored 2/3 with one unscored 120-second timeout, while the other two rows scored 4/4. It was replaced with the faster candidate used in the final run.

saturated_tasks.py

Status: PASS

Description: Comparison of saturated arithmetic with calibrated edge tasks.

Result: The two anchors, saturated-17x23 and saturated-two-step, each passed 4/4 (1.00). The calibrated rows landed at 3/4 (0.75) for calibrated-edge-a and 2/4 (0.50) for calibrated-edge-b.

The first live calibration was a failed all-full grid: all four rows scored 4/4. The second edge task was made harder before the successful rerun.