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repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.008378333333333333,"mean_latency_s":5.301,"mean_steps":1.5,"mean_tokens":837.8333333333334,"missing_task_seed_pairs":[],"n":6,"n_unit":"evaluation episodes","planned_n":6,"planned_unique_task_count":6,"policy":"heuristic","provider_or_execution_failures":0,"replicates_observed":1,"replicates_planned":1,"solve_rate":0.6666666666666666,"solve_rate_wilson_95":null,"solved":4,"tokens_incomplete_episodes":0,"unique_task_count":6},{"budget_exhausted_episodes":0,"complete_replicates":1,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.006363333333333333,"mean_latency_s":4.3015,"mean_steps":1.1666666666666667,"mean_tokens":636.3333333333334,"missing_task_seed_pairs":[],"n":6,"n_unit":"evaluation 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repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.007559444444444444,"mean_latency_s":12.046333333333333,"mean_steps":1.3888888888888888,"mean_tokens":755.9444444444445,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation episodes","planned_n":18,"planned_unique_task_count":6,"policy":"heuristic","provider_or_execution_failures":0,"replicates_observed":3,"replicates_planned":3,"solve_rate":0.6666666666666666,"solve_rate_wilson_95":null,"solved":12,"tokens_incomplete_episodes":0,"unique_task_count":6},{"budget_exhausted_episodes":0,"complete_replicates":3,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.0068405555555555555,"mean_latency_s":4.0969999999999995,"mean_steps":1.1111111111111112,"mean_tokens":684.0555555555555,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation 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episodes","paired_n":18,"solve_rate_difference":0.05555555555555555,"unique_task_count":6},{"baseline":"heuristic","family_bootstrap_95":null,"family_n":2,"interval_note":"Not estimated: two held-out families are insufficient for a meaningful family-cluster interval.","n_unit":"paired task/seed episodes","paired_n":18,"solve_rate_difference":0.2222222222222222,"unique_task_count":6}],"paired_runs":[{"comparison_id":"interval-merge@seed=17","runs":[{"cost_usd":0.00412,"created_at":1790135519.5648339,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","elapsed_s":3.949,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:51:59.564843+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:00.117835+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.552336,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:00.117942+00:00","data":{"action":"fast","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:00.117950+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:01.870236+00:00","data":{"completion_tokens":119,"cost_usd":0.00412,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":1.733491628896445,"request_id":"chatcmpl-2b4d5aa641f64954b875677c86d88f18","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:02.804372+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.932783,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:03.513283+00:00","data":{"elapsed_s":0.707624,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:03.513430+00:00","data":{"cost_usd":0.00412,"solved":true,"steps":1,"tokens":412},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n    for current in sorted_intervals[1:]:\n        last = result[-1]\n        if current[0] <= last[1]:\n            # Merge overlapping or touching intervals\n            result[-1] = [last[0], max(last[1], current[1])]\n        else:\n            result.append(current)\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"c9cafbc0c4f1481d9497b6936837a1d6","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":412,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":412,"tokens_complete":true},{"cost_usd":0.00412,"created_at":1790135523.515929,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","elapsed_s":7.385,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:03.515942+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:04.169005+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted 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repair"},{"at":"2026-09-23T03:52:09.847456+00:00","data":{"completion_tokens":119,"cost_usd":0.00412,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":5.6629471820779145,"request_id":"chatcmpl-765c2b4a145d41b2b057218b07d8fd87","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:10.398533+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.550786,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:10.900542+00:00","data":{"elapsed_s":0.501501,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:10.900672+00:00","data":{"cost_usd":0.00412,"solved":true,"steps":1,"tokens":412},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n    for current in sorted_intervals[1:]:\n        last = result[-1]\n        if current[0] <= last[1]:\n            # Merge overlapping or touching intervals\n            result[-1] = [last[0], max(last[1], current[1])]\n        else:\n            result.append(current)\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"452f1127fdd647929b0f89172eabd26c","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":412,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":412,"tokens_complete":true},{"cost_usd":0.00703,"created_at":1790135530.902563,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,33 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a list or tuple [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start,\n+    with overlapping or touching intervals merged into a single interval.\n+    The input list is not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Make a shallow copy of intervals to avoid mutating the input.\n+    # Convert each interval to a list so we can modify the result safely.\n+    intervals_copy = [list(iv) for iv in intervals]\n+\n+    # Sort intervals by their start value.\n+    intervals_copy.sort(key=lambda x: x[0])\n+\n+    merged = []\n+    for start, end in intervals_copy:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if intervals overlap or touch (last_end >= start)\n+            if last_end >= start:\n+                # Extend the last interval's end if needed.\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","elapsed_s":6.395,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:10.902576+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:11.353149+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.45016,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:11.353180+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:11.353186+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:16.446117+00:00","data":{"completion_tokens":349,"cost_usd":0.00703,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,33 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a list or tuple [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start,\n+    with overlapping or touching intervals merged into a single interval.\n+    The input list is not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Make a shallow copy of intervals to avoid mutating the input.\n+    # Convert each interval to a list so we can modify the result safely.\n+    intervals_copy = [list(iv) for iv in intervals]\n+\n+    # Sort intervals by their start value.\n+    intervals_copy.sort(key=lambda x: x[0])\n+\n+    merged = []\n+    for start, end in intervals_copy:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if intervals overlap or touch (last_end >= start)\n+            if last_end >= start:\n+                # Extend the last interval's end if needed.\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":354,"provider_elapsed_s":5.087417875882238,"request_id":"chatcmpl-80b335dd48d346c99652f419d005f888","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:16.846565+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.400132,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:17.297240+00:00","data":{"elapsed_s":0.45028,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:17.297380+00:00","data":{"cost_usd":0.00703,"solved":true,"steps":1,"tokens":703},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    \"\"\"\n    Merge a list of intervals.\n\n    Each interval is a list or tuple [start, end] with start < end.\n    The function returns a new list of intervals sorted by start,\n    with overlapping or touching intervals merged into a single interval.\n    The input list is not mutated.\n\n    Example:\n        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n        [[1, 5], [6, 10]]\n    \"\"\"\n    # Make a shallow copy of intervals to avoid mutating the input.\n    # Convert each interval to a list so we can modify the result safely.\n    intervals_copy = [list(iv) for iv in intervals]\n\n    # Sort intervals by their start value.\n    intervals_copy.sort(key=lambda x: x[0])\n\n    merged = []\n    for start, end in intervals_copy:\n        if not merged:\n            merged.append([start, end])\n        else:\n            last_start, last_end = merged[-1]\n            # Merge if intervals overlap or touch (last_end >= start)\n            if last_end >= start:\n                # Extend the last interval's end if needed.\n                merged[-1][1] = max(last_end, end)\n            else:\n                merged.append([start, end])\n    return merged\n","heldout_passed":3,"heldout_total":3,"id":"06421cc99aca4b2699590cec0fc35858","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":703,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":703,"tokens_complete":true},{"cost_usd":0.00412,"created_at":1790135537.2994041,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","elapsed_s":3.954,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:17.299411+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:17.749760+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449895,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:17.749819+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:17.749827+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:20.352360+00:00","data":{"completion_tokens":119,"cost_usd":0.00412,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,17 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+    for current in sorted_intervals[1:]:\n+        last = result[-1]\n+        if current[0] <= last[1]:\n+            # Merge overlapping or touching intervals\n+            result[-1] = [last[0], max(last[1], current[1])]\n         else:\n-            result.append([start, end])\n+            result.append(current)\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":2.597506872843951,"request_id":"chatcmpl-71f5f6cea4474d2ba5305813e3a8a815","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:20.802956+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.450089,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:21.253418+00:00","data":{"elapsed_s":0.449948,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:21.253552+00:00","data":{"cost_usd":0.00412,"solved":true,"steps":1,"tokens":412},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n    for current in sorted_intervals[1:]:\n        last = result[-1]\n        if current[0] <= last[1]:\n            # Merge overlapping or touching intervals\n            result[-1] = [last[0], max(last[1], current[1])]\n        else:\n            result.append(current)\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"332118c2981e49e39d440f509dd618d4","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":412,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":412,"tokens_complete":true}],"seed":17,"task_id":"interval-merge","task_title":"Merge touching reservation intervals · seed 17"},{"comparison_id":"interval-intersection@seed=17","runs":[{"cost_usd":0.00408,"created_at":1790135541.2557616,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":5.632,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:21.255766+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:21.705887+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449805,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:21.705945+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:21.705951+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:26.037484+00:00","data":{"completion_tokens":108,"cost_usd":0.00408,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":4.327015133108944,"request_id":"chatcmpl-5055b9dcc0284a14ad10965b36ea3ef6","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:26.487893+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450088,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:26.887349+00:00","data":{"elapsed_s":0.399013,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:26.887459+00:00","data":{"cost_usd":0.00408,"solved":true,"steps":1,"tokens":408},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i, j = 0, 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"781bf132c0a14b6595d76884d3f03d11","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":408,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":408,"tokens_complete":true},{"cost_usd":0.00408,"created_at":1790135546.8891368,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":2.927,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:26.889143+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:27.340008+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450567,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:27.340054+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:27.340059+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:28.916217+00:00","data":{"completion_tokens":108,"cost_usd":0.00408,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":1.572093116119504,"request_id":"chatcmpl-20bd64ebb7d84cfdb50c6ad5750026e2","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:29.366319+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449771,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:29.815781+00:00","data":{"elapsed_s":0.44911,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:29.815873+00:00","data":{"cost_usd":0.00408,"solved":true,"steps":1,"tokens":408},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i, j = 0, 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"171d2767908a448f91933947a154ce98","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":408,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":408,"tokens_complete":true},{"cost_usd":0.00636,"created_at":1790135549.817242,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.801,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:29.817257+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:30.266681+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449061,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:30.266714+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:30.266719+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:32.666437+00:00","data":{"completion_tokens":273,"cost_usd":0.00636,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":2.3943891949020326,"request_id":"chatcmpl-5c394782d1bb4609a6d7a62eabca68ef","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:33.116909+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450152,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:33.618575+00:00","data":{"elapsed_s":0.501165,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:33.618722+00:00","data":{"cost_usd":0.00636,"solved":true,"steps":1,"tokens":636},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n    Each interval is represented as a tuple or list [start, end) with start < end.\n    The result is a list of [start, end] pairs (also half‑open) where the\n    intersection is non‑empty. Intervals that only touch at an endpoint are not\n    considered overlapping and therefore are omitted.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute the overlap interval\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # Only keep non‑empty intersections (half‑open, so start < end)\n        if start < end:\n            result.append([start, end])\n\n        # Advance the pointer of the interval that ends first\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"f8237d2cd85d4ba593bb34ae1496c3ff","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":636,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":636,"tokens_complete":true},{"cost_usd":0.00636,"created_at":1790135553.6203136,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.284,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:33.620322+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:34.070438+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449733,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:34.070527+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:34.070531+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:35.901840+00:00","data":{"completion_tokens":273,"cost_usd":0.00636,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":1.826780951116234,"request_id":"chatcmpl-d45318347fbb4075b2546907f7b77d8f","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:36.403105+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.500916,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:36.903900+00:00","data":{"elapsed_s":0.500253,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:36.904075+00:00","data":{"cost_usd":0.00636,"solved":true,"steps":1,"tokens":636},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n    Each interval is represented as a tuple or list [start, end) with start < end.\n    The result is a list of [start, end] pairs (also half‑open) where the\n    intersection is non‑empty. Intervals that only touch at an endpoint are not\n    considered overlapping and therefore are omitted.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute the overlap interval\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # Only keep non‑empty intersections (half‑open, so start < end)\n        if start < end:\n            result.append([start, end])\n\n        # Advance the pointer of the interval that ends first\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"4ee31f25ee4c413f9ca7b3af7d5ca70b","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":636,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":636,"tokens_complete":true}],"seed":17,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals · seed 17"},{"comparison_id":"interval-subtract@seed=17","runs":[{"cost_usd":0.0083,"created_at":1790135556.9057918,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,50 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The original interval [start, end) with start < end.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the original interval.\n+\n+    Returns\n+    -------\n+    List[List[Number]]\n+        Sorted list of non‑empty half‑open intervals remaining after\n+        removing all blackout portions. Each sub‑interval is of the form\n+        [s, e) with s < e.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start then merge overlapping/touching blackouts\n+    relevant.sort(key=lambda x: x[0])\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for s, e in relevant[1:]:\n+        if s <= cur_end:          # overlapping or touching\n+            cur_end = max(cur_end, e)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = s, e\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for b_start, b_end in merged:\n+        if cur < b_start:\n+            result.append([cur, b_start])\n+        cur = max(cur, b_end)\n+    if cur < end:\n+        result.append([cur, end])\n+\n+    return result\n","elapsed_s":5.183,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:36.905799+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:37.357170+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.451039,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:37.357209+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:37.357217+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:41.083471+00:00","data":{"completion_tokens":483,"cost_usd":0.0083,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,50 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The original interval [start, end) with start < end.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the original interval.\n+\n+    Returns\n+    -------\n+    List[List[Number]]\n+        Sorted list of non‑empty half‑open intervals remaining after\n+        removing all blackout portions. Each sub‑interval is of the form\n+        [s, e) with s < e.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start then merge overlapping/touching blackouts\n+    relevant.sort(key=lambda x: x[0])\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for s, e in relevant[1:]:\n+        if s <= cur_end:          # overlapping or touching\n+            cur_end = max(cur_end, e)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = s, e\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for b_start, b_end in merged:\n+        if cur < b_start:\n+            result.append([cur, b_start])\n+        cur = max(cur, b_end)\n+    if cur < end:\n+        result.append([cur, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":3.721143889706582,"request_id":"chatcmpl-73f52f01546e443699e4f6290f6d3d49","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:41.586332+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.502442,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:42.088569+00:00","data":{"elapsed_s":0.501754,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:42.088750+00:00","data":{"cost_usd":0.0083,"solved":true,"steps":1,"tokens":830},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract blackout intervals from a given half‑open interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers\n        The original interval [start, end) with start < end.\n    blackouts : iterable of (a, b)\n        Blackout intervals, each half‑open [a, b). They may overlap,\n        touch, or lie completely outside the original interval.\n\n    Returns\n    -------\n    List[List[Number]]\n        Sorted list of non‑empty half‑open intervals remaining after\n        removing all blackout portions. Each sub‑interval is of the form\n        [s, e) with s < e.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that intersect the interval at all\n    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n                if a < end and b > start]\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort by start then merge overlapping/touching blackouts\n    relevant.sort(key=lambda x: x[0])\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for s, e in relevant[1:]:\n        if s <= cur_end:          # overlapping or touching\n            cur_end = max(cur_end, e)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = s, e\n    merged.append((cur_start, cur_end))\n\n    # Subtract merged blackouts from the original interval\n    result = []\n    cur = start\n    for b_start, b_end in merged:\n        if cur < b_start:\n            result.append([cur, b_start])\n        cur = max(cur, b_end)\n    if cur < end:\n        result.append([cur, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"39b0ef2dd5184aa0aff0c0b0fdd8a54c","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":830,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":830,"tokens_complete":true},{"cost_usd":0.0039,"created_at":1790135562.0913403,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if current_start < a:\n+            result.append([current_start, a])\n+        current_start = max(current_start, b)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":2.972,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:42.091351+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:42.540931+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.449246,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:42.541018+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:42.541025+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:44.110505+00:00","data":{"completion_tokens":105,"cost_usd":0.0039,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if current_start < a:\n+            result.append([current_start, a])\n+        current_start = max(current_start, b)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":1.5651041227392852,"request_id":"chatcmpl-e4564d356d234a0c95141159e3a92fe1","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:44.561082+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450107,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:45.062777+00:00","data":{"elapsed_s":0.501147,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:45.062899+00:00","data":{"cost_usd":0.0039,"solved":true,"steps":1,"tokens":390},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if current_start < a:\n            result.append([current_start, a])\n        current_start = max(current_start, b)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"9571cb72b1b148eba493167476c5dba8","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":390,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":390,"tokens_complete":true},{"cost_usd":0.0039,"created_at":1790135565.0647964,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if current_start < a:\n+            result.append([current_start, a])\n+        current_start = max(current_start, b)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":3.085,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:45.064805+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:45.665811+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.600625,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:45.665864+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:45.665872+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:47.247342+00:00","data":{"completion_tokens":105,"cost_usd":0.0039,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if current_start < a:\n+            result.append([current_start, a])\n+        current_start = max(current_start, b)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":1.576972234994173,"request_id":"chatcmpl-7137af8fe951476d9b05710a4060d71f","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:47.697963+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450225,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:48.149869+00:00","data":{"elapsed_s":0.451531,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:48.149952+00:00","data":{"cost_usd":0.0039,"solved":true,"steps":1,"tokens":390},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if current_start < a:\n            result.append([current_start, a])\n        current_start = max(current_start, b)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"8f7a8793d75f4b76bf4a54be2dcedd8c","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":390,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":390,"tokens_complete":true},{"cost_usd":0.00823,"created_at":1790135568.1516335,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,49 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The original interval [start, end) with start < end.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the original interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of the original interval that remain\n+        after removing all blackout intervals.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start then merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for a, b in merged:\n+        if cur < a:               # portion before this blackout\n+            result.append([cur, a])\n+        cur = max(cur, b)         # move cursor past the blackout\n+    if cur < end:                # any tail portion left\n+        result.append([cur, end])\n+\n+    return result\n","elapsed_s":4.263,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:48.151640+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:48.652186+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.500193,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:48.652296+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:48.652306+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:51.510479+00:00","data":{"completion_tokens":476,"cost_usd":0.00823,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,49 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The original interval [start, end) with start < end.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the original interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of the original interval that remain\n+        after removing all blackout intervals.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start then merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for a, b in merged:\n+        if cur < a:               # portion before this blackout\n+            result.append([cur, a])\n+        cur = max(cur, b)         # move cursor past the blackout\n+    if cur < end:                # any tail portion left\n+        result.append([cur, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":2.8538090782240033,"request_id":"chatcmpl-305c1493a8494dc2bcc151461f00d213","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:51.961941+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450984,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:52.414040+00:00","data":{"elapsed_s":0.451539,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:52.414158+00:00","data":{"cost_usd":0.00823,"solved":true,"steps":1,"tokens":823},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract blackout intervals from a given half‑open interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers\n        The original interval [start, end) with start < end.\n    blackouts : iterable of (a, b)\n        Blackout intervals, each half‑open [a, b). They may overlap,\n        touch, or lie completely outside the original interval.\n\n    Returns\n    -------\n    list of [s, e]\n        Sorted, non‑empty portions of the original interval that remain\n        after removing all blackout intervals.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that intersect the interval at all\n    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n                if a < end and b > start]\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort by start then merge overlapping/touching blackouts\n    relevant.sort()\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for a, b in relevant[1:]:\n        if a <= cur_end:          # overlap or touch\n            cur_end = max(cur_end, b)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = a, b\n    merged.append((cur_start, cur_end))\n\n    # Subtract merged blackouts from the original interval\n    result = []\n    cur = start\n    for a, b in merged:\n        if cur < a:               # portion before this blackout\n            result.append([cur, a])\n        cur = max(cur, b)         # move cursor past the blackout\n    if cur < end:                # any tail portion left\n        result.append([cur, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"17c34b0beae94bdfbfeec63f170f8533","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":823,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":823,"tokens_complete":true}],"seed":17,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation · seed 17"},{"comparison_id":"codec-rle-encode@seed=17","runs":[{"cost_usd":0.00383,"created_at":1790135572.4160979,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":2.836,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:52.416103+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:52.865997+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.44959,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:52.866080+00:00","data":{"action":"fast","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:52.866086+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:54.298531+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.4282946740277112,"request_id":"chatcmpl-241039b00d9f479cbf8d815757c0a9f2","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:54.801444+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.502507,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:55.251591+00:00","data":{"elapsed_s":0.449685,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:55.251723+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"37716a68b85848d4a75f475a45d01ebd","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00383,"created_at":1790135575.2536032,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":2.899,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:55.253616+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:55.703922+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.44996,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:55.703987+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:55.703993+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:57.201345+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.493791228160262,"request_id":"chatcmpl-2d7a05ab6e9b4ed7b9a1880e45ea1abe","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:52:57.702403+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.500652,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:52:58.152677+00:00","data":{"elapsed_s":0.449888,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:52:58.152773+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"0e4106329e17449e9f89da38f042dcac","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00383,"created_at":1790135578.154447,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":3.129,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:52:58.154454+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:52:58.554411+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.399598,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:52:58.554479+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:52:58.554488+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:52:59.921298+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.361907427199185,"request_id":"chatcmpl-df31cc2ecee54dc0b43f676f35893092","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:00.576379+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.654663,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:01.283829+00:00","data":{"elapsed_s":0.706973,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:01.283928+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"401c748314a34e0a85044d5e907b7dd0","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00574,"created_at":1790135581.2862616,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n-def rle_encode(text):\n+def rke_encode(text):\n+    \"\"\"Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +16,14 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any characters were processed\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n+\n+\n+# Alias with the expected name used by tests\n+def rle_encode(text):\n+    return rke_encode(text)\n","elapsed_s":3.409,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:01.286269+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:02.088104+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.801283,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:02.088137+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:02.088146+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:03.692401+00:00","data":{"completion_tokens":217,"cost_usd":0.00574,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n-def rle_encode(text):\n+def rke_encode(text):\n+    \"\"\"Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +16,14 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any characters were processed\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n+\n+\n+# Alias with the expected name used by tests\n+def rle_encode(text):\n+    return rke_encode(text)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":357,"provider_elapsed_s":1.5835680086165667,"request_id":"chatcmpl-38127b150cb242f389c78b6d31f9fb06","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:04.244434+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.551643,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:04.695579+00:00","data":{"elapsed_s":0.450726,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:04.695712+00:00","data":{"cost_usd":0.00574,"solved":true,"steps":1,"tokens":574},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rke_encode(text):\n    \"\"\"Encode a string using run-length encoding.\n\n    Returns a list of [character, count] pairs for each maximal\n    substring of identical characters. An empty input returns [].\n    \"\"\"\n    result = []\n    previous = None\n    count = 0\n\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n\n    # Append the final run if any characters were processed\n    if count:\n        result.append([previous, count])\n\n    return result\n\n\n# Alias with the expected name used by tests\ndef rle_encode(text):\n    return rke_encode(text)\n","heldout_passed":3,"heldout_total":3,"id":"e842cc50e4764ca29c4daed82bc4101f","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":574,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":574,"tokens_complete":true}],"seed":17,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression · seed 17"},{"comparison_id":"codec-rle-decode@seed=17","runs":[{"cost_usd":0.00381,"created_at":1790135584.6977491,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":3.098,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:04.697755+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:05.147930+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.449761,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:05.148006+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:05.148013+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:06.794543+00:00","data":{"completion_tokens":115,"cost_usd":0.00381,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":1.6415941989980638,"request_id":"chatcmpl-d807e62624bf4404a6eb255f080f5488","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:07.295520+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.500657,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:07.795586+00:00","data":{"elapsed_s":0.499669,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:07.795677+00:00","data":{"cost_usd":0.00381,"solved":false,"steps":1,"tokens":381},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character: {char}\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(f\"Invalid count: {count}\")\n        result.extend(char * count)\n    if len(result) > 10000:\n        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"f6d6a36f8cb14850b08b4e423faced8d","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":381,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":381,"tokens_complete":true},{"cost_usd":0.00781,"created_at":1790135587.7971737,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,53 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string `char` and a\n+        non‑negative integer `count`. Booleans are not accepted as integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string, which will contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed (wrong types, wrong length, negative count,\n+        boolean count, etc.) or if the resulting string would exceed 10 000\n+        characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Each pair must be iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Enforce maximum output length\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","elapsed_s":4.242,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:07.797183+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:08.297142+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.499629,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:08.297168+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:08.297174+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:11.034067+00:00","data":{"completion_tokens":451,"cost_usd":0.00781,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,53 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string `char` and a\n+        non‑negative integer `count`. Booleans are not accepted as integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string, which will contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed (wrong types, wrong length, negative count,\n+        boolean count, etc.) or if the resulting string would exceed 10 000\n+        characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Each pair must be iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Enforce maximum output length\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":2.7315599997527897,"request_id":"chatcmpl-8894d9a5fe354378837c9ba15de5da8a","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:11.537113+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.502476,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:12.039203+00:00","data":{"elapsed_s":0.501595,"note":"Held-out cases were not supplied to the language model.","passed":5,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"5/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:12.039357+00:00","data":{"cost_usd":0.00781,"solved":true,"steps":1,"tokens":781},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":5,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run-length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable of (char, count)\n        Each pair must consist of a single-character string `char` and a\n        non‑negative integer `count`. Booleans are not accepted as integers.\n\n    Returns\n    -------\n    str\n        The decoded string, which will contain at most 10 000 characters.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed (wrong types, wrong length, negative count,\n        boolean count, etc.) or if the resulting string would exceed 10 000\n        characters.\n    \"\"\"\n    # Validate input and build result incrementally to enforce length limit\n    result_parts = []\n    total_len = 0\n    for pair in runs:\n        # Each pair must be iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(\"Each run must be a pair of (character, count)\")\n\n        # Validate character\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n\n        # Validate count: must be int, not bool, and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n        if count < 0:\n            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n\n        # Zero count contributes nothing\n        if count == 0:\n            continue\n\n        # Enforce maximum output length\n        if total_len + count > 10000:\n            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n        result_parts.append(char * count)\n        total_len += count\n\n    return ''.join(result_parts)\n","heldout_passed":5,"heldout_total":5,"id":"023bf138d2e54f7aac3aaff96461151f","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":781,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":781,"tokens_complete":true},{"cost_usd":0.00381,"created_at":1790135592.0414762,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":3.061,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:12.041494+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:12.541603+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.499696,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:12.541654+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:12.541661+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:14.198258+00:00","data":{"completion_tokens":115,"cost_usd":0.00381,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":1.6509744920767844,"request_id":"chatcmpl-929829e4661848d8a0d0523223788328","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:14.649612+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450987,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:15.102339+00:00","data":{"elapsed_s":0.452273,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:15.102437+00:00","data":{"cost_usd":0.00381,"solved":false,"steps":1,"tokens":381},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character: {char}\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(f\"Invalid count: {count}\")\n        result.extend(char * count)\n    if len(result) > 10000:\n        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"1d32d5d3207e4f73b328bc891675b5cb","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":381,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":381,"tokens_complete":true},{"cost_usd":0.00792,"created_at":1790135595.1045754,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,54 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string and a non‑negative\n+        integer count. Booleans are not considered valid integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. A count of zero contributes nothing.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed, if a count is negative or not an int,\n+        if a character is not a single‑character string, or if the resulting\n+        string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit.\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Each pair must be iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Check length limit before appending\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","elapsed_s":4.132,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:15.104591+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:15.554860+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.44985,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:15.554946+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:15.554953+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:18.325780+00:00","data":{"completion_tokens":462,"cost_usd":0.00792,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,54 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string and a non‑negative\n+        integer count. Booleans are not considered valid integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. A count of zero contributes nothing.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed, if a count is negative or not an int,\n+        if a character is not a single‑character string, or if the resulting\n+        string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit.\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Each pair must be iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Check length limit before appending\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":2.766147398855537,"request_id":"chatcmpl-905b230be4f346b7ba46294cacce1f5c","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:18.785031+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.45646,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:19.236773+00:00","data":{"elapsed_s":0.451154,"note":"Held-out cases were not supplied to the language model.","passed":5,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"5/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:19.236907+00:00","data":{"cost_usd":0.00792,"solved":true,"steps":1,"tokens":792},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":5,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run-length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable of (char, count)\n        Each pair must consist of a single-character string and a non‑negative\n        integer count. Booleans are not considered valid integers.\n\n    Returns\n    -------\n    str\n        The decoded string. A count of zero contributes nothing.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed, if a count is negative or not an int,\n        if a character is not a single‑character string, or if the resulting\n        string would exceed 10 000 characters.\n    \"\"\"\n    # Validate input and build result incrementally to enforce length limit.\n    result_parts = []\n    total_len = 0\n    for pair in runs:\n        # Each pair must be iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(\"Each run must be a pair (character, count)\")\n\n        # Validate character\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n\n        # Validate count: must be int, not bool, and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(f\"Invalid count {count!r}: must be a non‑negative integer\")\n        if count < 0:\n            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n\n        # Zero count contributes nothing\n        if count == 0:\n            continue\n\n        # Check length limit before appending\n        if total_len + count > 10000:\n            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n\n        result_parts.append(char * count)\n        total_len += count\n\n    return ''.join(result_parts)\n","heldout_passed":5,"heldout_total":5,"id":"294a152e318549b3ab8068e3b2e30064","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":792,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":792,"tokens_complete":true}],"seed":17,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads · seed 17"},{"comparison_id":"codec-escaped-fields@seed=17","runs":[{"cost_usd":0.00363,"created_at":1790135599.2387598,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":3.046,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:19.238769+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:19.739192+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.499882,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:19.739273+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:19.739282+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:21.329075+00:00","data":{"completion_tokens":106,"cost_usd":0.00363,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":257,"provider_elapsed_s":1.5842226818203926,"request_id":"chatcmpl-12e6c7b3d8d04f4a9579d2957d10169b","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:21.730521+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.401152,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:22.284341+00:00","data":{"elapsed_s":0.553415,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:22.284448+00:00","data":{"cost_usd":0.00363,"solved":true,"steps":1,"tokens":363},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    result = []\n    current = []\n    escape = False\n    for char in text:\n        if escape:\n            current.append(char)\n            escape = False\n        elif char == '\\\\':\n            escape = True\n        elif char == '|':\n            result.append(''.join(current))\n            current = []\n        else:\n            current.append(char)\n    if escape:\n        raise ValueError(\"Trailing backslash\")\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"13ad8d04623f4a75aa71db86734539b6","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":363,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":363,"tokens_complete":true},{"cost_usd":0.00363,"created_at":1790135602.2862797,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":3.801,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:22.286284+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:22.736336+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.44948,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:22.736406+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:22.736414+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:25.136135+00:00","data":{"completion_tokens":106,"cost_usd":0.00363,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":257,"provider_elapsed_s":2.394501202274114,"request_id":"chatcmpl-cf7239f6a28543d6bbd6a74844bee618","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:25.637035+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.500498,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:26.087609+00:00","data":{"elapsed_s":0.450143,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:26.087724+00:00","data":{"cost_usd":0.00363,"solved":true,"steps":1,"tokens":363},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    result = []\n    current = []\n    escape = False\n    for char in text:\n        if escape:\n            current.append(char)\n            escape = False\n        elif char == '\\\\':\n            escape = True\n        elif char == '|':\n            result.append(''.join(current))\n            current = []\n        else:\n            current.append(char)\n    if escape:\n        raise ValueError(\"Trailing backslash\")\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"d091d1e855f64a6f877518fa30047ba2","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":363,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":363,"tokens_complete":true},{"cost_usd":0.01761,"created_at":1790135606.0892243,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash (\\\\) escapes the next character (including another backslash or a pipe)\n+    and is removed from the output. Empty fields are preserved. If the string ends\n+    with an unpaired backslash, a ValueError is raised.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash without character to escape\")\n+            # Escape the next character: add it literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Unescaped delimiter: end current field\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","elapsed_s":7.705,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:26.089230+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:26.487888+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.398338,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:26.487920+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:26.487926+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:28.805131+00:00","data":{"completion_tokens":298,"cost_usd":0.00617,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash (\\) escapes the next character (including another backslash or a pipe)\n+    and is removed from the output. Empty fields are preserved. If the string ends\n+    with an unpaired backslash, a ValueError is raised.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash without character to escape\")\n+            # Escape the next character: add it literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Unescaped delimiter: end current field\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":2.3126884601078928,"request_id":"chatcmpl-cc43ad99b25740a98674ad61687d7138","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:29.306077+00:00","data":{"cases":[{"actual":null,"error":"Runner returned invalid bounded output","name":"escaped pipe","passed":false},{"actual":null,"error":"Runner returned invalid bounded output","name":"empty fields","passed":false}],"elapsed_s":0.500514,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:29.306186+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":1,"cost_usd":0.00617,"improvement":-1,"last_action":"deliberate","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":7,"title":"Controller decision"},{"at":"2026-09-23T03:53:29.306191+00:00","data":{"action":"deliberate","attempt":2},"kind":"model","message":"deliberate","seq":8,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:32.943749+00:00","data":{"completion_tokens":628,"cost_usd":0.01144,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -2,7 +2,7 @@\n     \"\"\"\n     Split a string on unescaped '|' characters.\n \n-    Backslash (\\) escapes the next character (including another backslash or a pipe)\n+    Backslash (\\\\) escapes the next character (including another backslash or a pipe)\n     and is removed from the output. Empty fields are preserved. If the string ends\n     with an unpaired backslash, a ValueError is raised.\n     \"\"\"\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":516,"provider_elapsed_s":3.633962227962911,"request_id":"chatcmpl-01b7086749444b93a0269f3cf3bd59d2","seed_requested":19},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":9,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:33.394067+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.449986,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":10,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:33.793905+00:00","data":{"elapsed_s":0.399354,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":11,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:33.794060+00:00","data":{"cost_usd":0.01761,"solved":true,"steps":2,"tokens":1761},"kind":"complete","message":"visible_tests_pass","seq":12,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n\n    Backslash (\\\\) escapes the next character (including another backslash or a pipe)\n    and is removed from the output. Empty fields are preserved. If the string ends\n    with an unpaired backslash, a ValueError is raised.\n    \"\"\"\n    fields = []\n    current = []\n    i = 0\n    n = len(text)\n\n    while i < n:\n        ch = text[i]\n        if ch == '\\\\':\n            i += 1\n            if i >= n:\n                raise ValueError(\"Trailing backslash without character to escape\")\n            # Escape the next character: add it literally\n            current.append(text[i])\n        elif ch == '|':\n            # Unescaped delimiter: end current field\n            fields.append(''.join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n\n    # Append the final field\n    fields.append(''.join(current))\n    return fields\n","heldout_passed":4,"heldout_total":4,"id":"6e5227d7506347fda524c76f8b55fe9b","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":1761,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":2,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":1761,"tokens_complete":true},{"cost_usd":0.00631,"created_at":1790135613.7958996,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash \"\\\" escapes the next character (including another backslash or '|')\n+    and is removed from the output. Empty fields are preserved. If the string ends\n+    with an unpaired backslash, a ValueError is raised.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash without character to escape\")\n+            # Escape the next character: add it literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # delimiter: end current field\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","elapsed_s":3.752,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:33.795906+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:34.194990+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.398613,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:34.195089+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:34.195097+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:36.646195+00:00","data":{"completion_tokens":312,"cost_usd":0.00631,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash \"\\\" escapes the next character (including another backslash or '|')\n+    and is removed from the output. Empty fields are preserved. If the string ends\n+    with an unpaired backslash, a ValueError is raised.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash without character to escape\")\n+            # Escape the next character: add it literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # delimiter: end current field\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":2.447019413113594,"request_id":"chatcmpl-40ae637cd948475b99defc9838875694","seed_requested":18},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:37.146613+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.500052,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:37.547462+00:00","data":{"elapsed_s":0.400519,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:37.547564+00:00","data":{"cost_usd":0.00631,"solved":true,"steps":1,"tokens":631},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":17,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n\n    Backslash \"\\\" escapes the next character (including another backslash or '|')\n    and is removed from the output. Empty fields are preserved. If the string ends\n    with an unpaired backslash, a ValueError is raised.\n    \"\"\"\n    fields = []\n    current = []\n    i = 0\n    n = len(text)\n\n    while i < n:\n        ch = text[i]\n        if ch == '\\\\':\n            i += 1\n            if i >= n:\n                raise ValueError(\"Trailing backslash without character to escape\")\n            # Escape the next character: add it literally\n            current.append(text[i])\n        elif ch == '|':\n            # delimiter: end current field\n            fields.append(''.join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n\n    # Append the final field\n    fields.append(''.join(current))\n    return fields\n","heldout_passed":4,"heldout_total":4,"id":"f47f7032011a460fa6ebbea9666fadf7","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":631,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"9ea44d9cec72e5a7643253d151f45e1e4ac3e779ca2a6e4c251710e9b26dd110","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":17,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":631,"tokens_complete":true}],"seed":17,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields · seed 17"},{"comparison_id":"interval-merge@seed=29","runs":[{"cost_usd":0.00422,"created_at":1790135607.855354,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","elapsed_s":3.077,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:27.855359+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:28.304633+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.448982,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:28.304726+00:00","data":{"action":"fast","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:28.304734+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:30.081505+00:00","data":{"completion_tokens":129,"cost_usd":0.00422,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":1.7727870107628405,"request_id":"chatcmpl-a8993c8918e14d508c2f9a30a34ec9ef","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:30.531776+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.449921,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:30.931908+00:00","data":{"elapsed_s":0.399695,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:30.932057+00:00","data":{"cost_usd":0.00422,"solved":true,"steps":1,"tokens":422},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n\n    for current_start, current_end in sorted_intervals[1:]:\n        last_start, last_end = result[-1]\n\n        if current_start <= last_end:\n            # Merge intervals\n            result[-1] = [last_start, max(last_end, current_end)]\n        else:\n            # Add new interval\n            result.append([current_start, current_end])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"41271be0c4db474ea5085780010d078d","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":422,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":422,"tokens_complete":true},{"cost_usd":0.00668,"created_at":1790135610.9339626,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,32 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a two-element sequence [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start, with\n+    overlapping or touching intervals merged into a single interval.\n+    The input list and its inner intervals are not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Defensive copy to avoid mutating the input intervals\n+    sorted_intervals = sorted(\n+        (list(interval) for interval in intervals),\n+        key=lambda x: x[0]\n+    )\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if intervals overlap or touch (last_end >= start)\n+            if last_end >= start:\n+                # Extend the last interval's end if needed\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","elapsed_s":4.813,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:30.933991+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:31.383422+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.44914,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:31.383451+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:31.383458+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:34.794964+00:00","data":{"completion_tokens":314,"cost_usd":0.00668,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,32 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a two-element sequence [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start, with\n+    overlapping or touching intervals merged into a single interval.\n+    The input list and its inner intervals are not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Defensive copy to avoid mutating the input intervals\n+    sorted_intervals = sorted(\n+        (list(interval) for interval in intervals),\n+        key=lambda x: x[0]\n+    )\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if intervals overlap or touch (last_end >= start)\n+            if last_end >= start:\n+                # Extend the last interval's end if needed\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":354,"provider_elapsed_s":3.4077735701575875,"request_id":"chatcmpl-7f0fbe1ad9264bb6ba2592a6c9223922","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:35.245536+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.450196,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:35.746659+00:00","data":{"elapsed_s":0.500738,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:35.746795+00:00","data":{"cost_usd":0.00668,"solved":true,"steps":1,"tokens":668},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    \"\"\"\n    Merge a list of intervals.\n\n    Each interval is a two-element sequence [start, end] with start < end.\n    The function returns a new list of intervals sorted by start, with\n    overlapping or touching intervals merged into a single interval.\n    The input list and its inner intervals are not mutated.\n\n    Example:\n        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n        [[1, 5], [6, 10]]\n    \"\"\"\n    # Defensive copy to avoid mutating the input intervals\n    sorted_intervals = sorted(\n        (list(interval) for interval in intervals),\n        key=lambda x: x[0]\n    )\n\n    merged = []\n    for start, end in sorted_intervals:\n        if not merged:\n            merged.append([start, end])\n        else:\n            last_start, last_end = merged[-1]\n            # Merge if intervals overlap or touch (last_end >= start)\n            if last_end >= start:\n                # Extend the last interval's end if needed\n                merged[-1][1] = max(last_end, end)\n            else:\n                merged.append([start, end])\n    return merged\n","heldout_passed":3,"heldout_total":3,"id":"1b677fde21144f9dae3a6a1fdd28f169","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":668,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":668,"tokens_complete":true},{"cost_usd":0.00422,"created_at":1790135615.7489605,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","elapsed_s":3.117,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:35.748997+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:36.199316+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449884,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:36.199370+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:36.199379+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:38.065577+00:00","data":{"completion_tokens":129,"cost_usd":0.00422,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":1.8623369610868394,"request_id":"chatcmpl-a80e5014d22a4df28d9968feff4df011","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:38.465766+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.39982,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:38.865809+00:00","data":{"elapsed_s":0.399591,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:38.865913+00:00","data":{"cost_usd":0.00422,"solved":true,"steps":1,"tokens":422},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n\n    for current_start, current_end in sorted_intervals[1:]:\n        last_start, last_end = result[-1]\n\n        if current_start <= last_end:\n            # Merge intervals\n            result[-1] = [last_start, max(last_end, current_end)]\n        else:\n            # Add new interval\n            result.append([current_start, current_end])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"1555612759c3458dab331f69c2d94fdc","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":422,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":422,"tokens_complete":true},{"cost_usd":0.00422,"created_at":1790135618.8676937,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","elapsed_s":3.126,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:38.867701+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:39.318161+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.450128,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:39.318254+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:39.318265+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:41.143397+00:00","data":{"completion_tokens":129,"cost_usd":0.00422,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,20 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    result = [sorted_intervals[0]]\n+\n+    for current_start, current_end in sorted_intervals[1:]:\n+        last_start, last_end = result[-1]\n+\n+        if current_start <= last_end:\n+            # Merge intervals\n+            result[-1] = [last_start, max(last_end, current_end)]\n         else:\n-            result.append([start, end])\n+            # Add new interval\n+            result.append([current_start, current_end])\n+\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":1.8209754880517721,"request_id":"chatcmpl-c0a8611c3edc47bfb8ac0bdfce2a64ac","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:41.593501+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.449728,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:41.993439+00:00","data":{"elapsed_s":0.399522,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:41.993560+00:00","data":{"cost_usd":0.00422,"solved":true,"steps":1,"tokens":422},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    result = [sorted_intervals[0]]\n\n    for current_start, current_end in sorted_intervals[1:]:\n        last_start, last_end = result[-1]\n\n        if current_start <= last_end:\n            # Merge intervals\n            result[-1] = [last_start, max(last_end, current_end)]\n        else:\n            # Add new interval\n            result.append([current_start, current_end])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"e0ad9f485b9f4a5480456b9905b9572d","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":422,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":422,"tokens_complete":true}],"seed":29,"task_id":"interval-merge","task_title":"Merge touching reservation intervals · seed 29"},{"comparison_id":"interval-intersection@seed=29","runs":[{"cost_usd":0.00738,"created_at":1790135621.995171,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,46 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The input lists are sorted by start and contain no overlapping intervals within\n+    the same list.\n+\n+    The function returns a list of [start, end] pairs representing the non‑empty\n+    intersections of intervals from `left` and `right`. Intersections that are\n+    empty (i.e., where the intervals only touch at an endpoint) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap, if any.\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # For half‑open intervals, a non‑empty intersection requires start < end.\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first.\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.757,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:41.995180+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:42.394855+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.399305,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:42.394884+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:42.394891+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:44.750041+00:00","data":{"completion_tokens":375,"cost_usd":0.00738,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,46 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The input lists are sorted by start and contain no overlapping intervals within\n+    the same list.\n+\n+    The function returns a list of [start, end] pairs representing the non‑empty\n+    intersections of intervals from `left` and `right`. Intersections that are\n+    empty (i.e., where the intervals only touch at an endpoint) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap, if any.\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # For half‑open intervals, a non‑empty intersection requires start < end.\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first.\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":2.350249201990664,"request_id":"chatcmpl-06b3e50f7d5148de81db8f9467dbec6a","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:45.250886+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.500563,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:45.752118+00:00","data":{"elapsed_s":0.500697,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:45.752279+00:00","data":{"cost_usd":0.00738,"solved":true,"steps":1,"tokens":738},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n\n    Each interval is represented as a list or tuple [start, end) with start < end.\n    The input lists are sorted by start and contain no overlapping intervals within\n    the same list.\n\n    The function returns a list of [start, end] pairs representing the non‑empty\n    intersections of intervals from `left` and `right`. Intersections that are\n    empty (i.e., where the intervals only touch at an endpoint) are omitted.\n\n    Parameters\n    ----------\n    left : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n    right : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n\n    Returns\n    -------\n    List[List[int]]\n        Sorted list of non‑empty intersections.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute the overlap, if any.\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # For half‑open intervals, a non‑empty intersection requires start < end.\n        if start < end:\n            result.append([start, end])\n\n        # Advance the pointer of the interval that ends first.\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"b60acbbdcfcb49029b7db8bc813df7cd","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":738,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":738,"tokens_complete":true},{"cost_usd":0.00408,"created_at":1790135625.7537975,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":2.993,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:45.753806+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:46.255137+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.500906,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:46.255230+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:46.255240+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:47.844590+00:00","data":{"completion_tokens":108,"cost_usd":0.00408,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":1.5841394243761897,"request_id":"chatcmpl-3698cb4d49a14dcab281cf31be29f152","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:48.296020+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450938,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:48.746338+00:00","data":{"elapsed_s":0.449736,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:48.746469+00:00","data":{"cost_usd":0.00408,"solved":true,"steps":1,"tokens":408},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i, j = 0, 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"ddad4ed824094131bde9ff301beefe54","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":408,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":408,"tokens_complete":true},{"cost_usd":0.00408,"created_at":1790135628.7484133,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":3.062,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:48.748426+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:49.199434+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.45058,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:49.199488+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:49.199499+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:50.804002+00:00","data":{"completion_tokens":108,"cost_usd":0.00408,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i, j = 0, 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":1.597921151202172,"request_id":"chatcmpl-07ef01441c014e4a93a89acecf22ae26","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:51.308845+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.504518,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:51.809807+00:00","data":{"elapsed_s":0.500565,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:51.809915+00:00","data":{"cost_usd":0.00408,"solved":true,"steps":1,"tokens":408},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i, j = 0, 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"791f08c8febf4398b91f2da3bbb4d9c9","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":408,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":408,"tokens_complete":true},{"cost_usd":0.00722,"created_at":1790135631.8118532,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,44 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The input lists are sorted by start and contain no overlapping intervals within\n+    each list. The function returns a list of [start, end] pairs representing the\n+    non‑empty intersections of intervals from `left` and `right`. Intersections of\n+    zero length (where the intervals only touch at an endpoint) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute overlap\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open intervals)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the interval that finishes first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.615,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:51.811861+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:52.263206+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450743,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:52.263293+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:52.263300+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:54.525643+00:00","data":{"completion_tokens":359,"cost_usd":0.00722,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,44 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The input lists are sorted by start and contain no overlapping intervals within\n+    each list. The function returns a list of [start, end] pairs representing the\n+    non‑empty intersections of intervals from `left` and `right`. Intersections of\n+    zero length (where the intervals only touch at an endpoint) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute overlap\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open intervals)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the interval that finishes first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":2.256861260160804,"request_id":"chatcmpl-d9fabc053cfb41f9bdca8e8b5ee1a91f","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:54.976379+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450396,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:55.427100+00:00","data":{"elapsed_s":0.450325,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:55.427272+00:00","data":{"cost_usd":0.00722,"solved":true,"steps":1,"tokens":722},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n\n    Each interval is represented as a list or tuple [start, end) with start < end.\n    The input lists are sorted by start and contain no overlapping intervals within\n    each list. The function returns a list of [start, end] pairs representing the\n    non‑empty intersections of intervals from `left` and `right`. Intersections of\n    zero length (where the intervals only touch at an endpoint) are omitted.\n\n    Parameters\n    ----------\n    left : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n    right : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n\n    Returns\n    -------\n    List[List[int]]\n        Sorted list of non‑empty intersections.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute overlap\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # Only keep non‑empty intersections (half‑open intervals)\n        if start < end:\n            result.append([start, end])\n\n        # Advance the interval that finishes first\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"0255758f0e464c919373259ceed7d342","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":722,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":722,"tokens_complete":true}],"seed":29,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals · seed 29"},{"comparison_id":"interval-subtract@seed=29","runs":[{"cost_usd":0.00864,"created_at":1790135635.4292688,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,56 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract a set of blackout intervals from a primary interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The primary half‑open interval [start, end).\n+    blackouts : iterable of (a, b)\n+        Half‑open blackout intervals. They may overlap, touch, or lie\n+        completely outside the primary interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of the primary interval that remain\n+        after all blackouts have been removed.\n+    \"\"\"\n     start, end = interval\n+    # Filter blackouts that intersect the primary interval\n+    relevant = []\n     for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+        # No intersection?\n+        if a >= end or b <= start:\n+            continue\n+        # Clip to the primary interval\n+        clipped_start = max(a, start)\n+        clipped_end = min(b, end)\n+        relevant.append((clipped_start, clipped_end))\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Build the remaining intervals\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:            # gap before this blackout\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)   # move cursor past the blackout\n+    if cursor < end:              # trailing gap after last blackout\n+        result.append([cursor, end])\n+\n+    return result\n","elapsed_s":4.401,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:55.429281+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:53:55.879017+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.449253,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:53:55.879089+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:53:55.879096+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:53:58.928510+00:00","data":{"completion_tokens":517,"cost_usd":0.00864,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,56 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract a set of blackout intervals from a primary interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The primary half‑open interval [start, end).\n+    blackouts : iterable of (a, b)\n+        Half‑open blackout intervals. They may overlap, touch, or lie\n+        completely outside the primary interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of the primary interval that remain\n+        after all blackouts have been removed.\n+    \"\"\"\n     start, end = interval\n+    # Filter blackouts that intersect the primary interval\n+    relevant = []\n     for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+        # No intersection?\n+        if a >= end or b <= start:\n+            continue\n+        # Clip to the primary interval\n+        clipped_start = max(a, start)\n+        clipped_end = min(b, end)\n+        relevant.append((clipped_start, clipped_end))\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Build the remaining intervals\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:            # gap before this blackout\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)   # move cursor past the blackout\n+    if cursor < end:              # trailing gap after last blackout\n+        result.append([cursor, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":3.04419636214152,"request_id":"chatcmpl-5f1accbed0794cd79b47f1f4369fe457","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:53:59.379440+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450643,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:53:59.830085+00:00","data":{"elapsed_s":0.450202,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:53:59.830257+00:00","data":{"cost_usd":0.00864,"solved":true,"steps":1,"tokens":864},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract a set of blackout intervals from a primary interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers\n        The primary half‑open interval [start, end).\n    blackouts : iterable of (a, b)\n        Half‑open blackout intervals. They may overlap, touch, or lie\n        completely outside the primary interval.\n\n    Returns\n    -------\n    list of [s, e]\n        Sorted, non‑empty portions of the primary interval that remain\n        after all blackouts have been removed.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that intersect the primary interval\n    relevant = []\n    for a, b in blackouts:\n        # No intersection?\n        if a >= end or b <= start:\n            continue\n        # Clip to the primary interval\n        clipped_start = max(a, start)\n        clipped_end = min(b, end)\n        relevant.append((clipped_start, clipped_end))\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort and merge overlapping/touching blackouts\n    relevant.sort()\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for a, b in relevant[1:]:\n        if a <= cur_end:          # overlap or touch\n            cur_end = max(cur_end, b)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = a, b\n    merged.append((cur_start, cur_end))\n\n    # Build the remaining intervals\n    result = []\n    cursor = start\n    for a, b in merged:\n        if cursor < a:            # gap before this blackout\n            result.append([cursor, a])\n        cursor = max(cursor, b)   # move cursor past the blackout\n    if cursor < end:              # trailing gap after last blackout\n        result.append([cursor, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"6deab30ca8d34d438865f23255d580fd","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":864,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":864,"tokens_complete":true},{"cost_usd":0.00862,"created_at":1790135639.8322535,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,57 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract a list of blackout intervals from a base interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The half‑open interval [start, end) to be trimmed.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, also half‑open. They may overlap, touch,\n+        or lie partially/completely outside ``interval``.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of ``interval`` that are not covered\n+        by any blackout interval.\n+    \"\"\"\n     start, end = interval\n+    # Filter blackouts that intersect the interval and clip them to the interval bounds\n+    relevant = []\n     for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+        # No intersection?\n+        if a >= end or b <= start:\n+            continue\n+        # Clip to the interval\n+        clipped_start = max(a, start)\n+        clipped_end = min(b, end)\n+        if clipped_start < clipped_end:\n+            relevant.append((clipped_start, clipped_end))\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)\n+    if cursor < end:\n+        result.append([cursor, end])\n+\n+    return result\n","elapsed_s":4.5,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:53:59.832261+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:00.334747+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.502045,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:00.334787+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:00.334798+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:03.374559+00:00","data":{"completion_tokens":515,"cost_usd":0.00862,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,57 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract a list of blackout intervals from a base interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers\n+        The half‑open interval [start, end) to be trimmed.\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, also half‑open. They may overlap, touch,\n+        or lie partially/completely outside ``interval``.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted, non‑empty portions of ``interval`` that are not covered\n+        by any blackout interval.\n+    \"\"\"\n     start, end = interval\n+    # Filter blackouts that intersect the interval and clip them to the interval bounds\n+    relevant = []\n     for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+        # No intersection?\n+        if a >= end or b <= start:\n+            continue\n+        # Clip to the interval\n+        clipped_start = max(a, start)\n+        clipped_end = min(b, end)\n+        if clipped_start < clipped_end:\n+            relevant.append((clipped_start, clipped_end))\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)\n+    if cursor < end:\n+        result.append([cursor, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":3.030340664088726,"request_id":"chatcmpl-d0133dd251a8476a90010402954ef949","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:03.878814+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.503906,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:04.332061+00:00","data":{"elapsed_s":0.452583,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:04.332260+00:00","data":{"cost_usd":0.00862,"solved":true,"steps":1,"tokens":862},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract a list of blackout intervals from a base interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers\n        The half‑open interval [start, end) to be trimmed.\n    blackouts : iterable of (a, b)\n        Blackout intervals, also half‑open. They may overlap, touch,\n        or lie partially/completely outside ``interval``.\n\n    Returns\n    -------\n    list of [s, e]\n        Sorted, non‑empty portions of ``interval`` that are not covered\n        by any blackout interval.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that intersect the interval and clip them to the interval bounds\n    relevant = []\n    for a, b in blackouts:\n        # No intersection?\n        if a >= end or b <= start:\n            continue\n        # Clip to the interval\n        clipped_start = max(a, start)\n        clipped_end = min(b, end)\n        if clipped_start < clipped_end:\n            relevant.append((clipped_start, clipped_end))\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort and merge overlapping/touching blackouts\n    relevant.sort()\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for a, b in relevant[1:]:\n        if a <= cur_end:          # overlap or touch\n            cur_end = max(cur_end, b)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = a, b\n    merged.append((cur_start, cur_end))\n\n    # Subtract merged blackouts from the original interval\n    result = []\n    cursor = start\n    for a, b in merged:\n        if cursor < a:\n            result.append([cursor, a])\n        cursor = max(cursor, b)\n    if cursor < end:\n        result.append([cursor, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"e8c7f7ab3e694d1ba39d0a2efb49ee8a","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":862,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":862,"tokens_complete":true},{"cost_usd":0.00393,"created_at":1790135644.3344898,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":3.002,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:04.334501+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:04.836374+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.501485,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:04.836422+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:04.836429+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:06.434388+00:00","data":{"completion_tokens":108,"cost_usd":0.00393,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":1.5925696939229965,"request_id":"chatcmpl-d750c8252d29423db3e98744134b2d76","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:06.885253+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450401,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:07.335924+00:00","data":{"elapsed_s":0.450188,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:07.336148+00:00","data":{"cost_usd":0.00393,"solved":true,"steps":1,"tokens":393},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if a > current_start:\n            result.append([current_start, min(a, end)])\n        current_start = max(b, current_start)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"9b5366ce1aad471f996572aa8ebfacb8","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":393,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":393,"tokens_complete":true},{"cost_usd":0.00393,"created_at":1790135647.340534,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":2.953,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:07.340544+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:07.791961+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.451083,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:07.792036+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:07.792045+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:09.391552+00:00","data":{"completion_tokens":108,"cost_usd":0.00393,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":1.596062945201993,"request_id":"chatcmpl-7fd5e81ef68c45b796eefab19b0995ff","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:09.842022+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450006,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:10.293153+00:00","data":{"elapsed_s":0.450665,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:10.293289+00:00","data":{"cost_usd":0.00393,"solved":true,"steps":1,"tokens":393},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if a > current_start:\n            result.append([current_start, min(a, end)])\n        current_start = max(b, current_start)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"8a2a7fb05503464082391d96ecd6dc10","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":393,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":393,"tokens_complete":true}],"seed":29,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation · seed 29"},{"comparison_id":"codec-rle-encode@seed=29","runs":[{"cost_usd":0.00383,"created_at":1790135650.2949927,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":2.63,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:10.294998+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:10.694514+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.399201,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:10.694569+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:10.694575+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:12.072631+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.374389573931694,"request_id":"chatcmpl-acea63761b9e4ceaa3623707d4fecbde","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:12.523735+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.450801,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:12.924794+00:00","data":{"elapsed_s":0.400655,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:12.924906+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"3046611bf4404c0ba7407f164dac108b","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00564,"created_at":1790135652.9265006,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","elapsed_s":2.907,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:12.926512+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:13.376551+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.449701,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:13.376580+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:13.376587+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:14.880400+00:00","data":{"completion_tokens":207,"cost_usd":0.00564,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":357,"provider_elapsed_s":1.4997391942888498,"request_id":"chatcmpl-0cb12cd765ce4ca8a02374053bf9172b","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:15.382237+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.501344,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:15.833504+00:00","data":{"elapsed_s":0.450735,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:15.833664+00:00","data":{"cost_usd":0.00564,"solved":true,"steps":1,"tokens":564},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    \"\"\"\n    Encode a string using run-length encoding.\n\n    Returns a list of [character, count] pairs for each maximal\n    substring of identical characters. An empty input returns [].\n    \"\"\"\n    result = []\n    previous = None\n    count = 0\n\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n\n    # Append the final run if any\n    if count:\n        result.append([previous, count])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"0d18c15877eb439397e5bcd22f2768d6","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":564,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":564,"tokens_complete":true},{"cost_usd":0.00383,"created_at":1790135655.8355684,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":2.873,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:15.835582+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:16.285598+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.449634,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:16.285683+00:00","data":{"action":"fast","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:16.285692+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:17.757696+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.4668527506291866,"request_id":"chatcmpl-0fe2db59779f4adcaf50477095eb7cc5","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:18.258233+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.500184,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:18.708857+00:00","data":{"elapsed_s":0.450262,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:18.708998+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"8ba6383246ce4fd3affff49c77734e0c","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00383,"created_at":1790135658.7107599,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":2.805,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:18.710769+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:19.212577+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.501458,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:19.212631+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:19.212639+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:20.614356+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.3966007982380688,"request_id":"chatcmpl-cfedc86a4b2848f9a1a6e9f722fc7da5","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:21.064729+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.449937,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:21.515710+00:00","data":{"elapsed_s":0.450332,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:21.515811+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"b8db08d097604d46b34cb9851d768f68","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true}],"seed":29,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression · seed 29"},{"comparison_id":"codec-rle-decode@seed=29","runs":[{"cost_usd":0.00387,"created_at":1790135661.5174837,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend([char] * max(count, 0))\n+        if len(result) > 10000:\n+            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":3.314,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:21.517489+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:22.017810+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.499999,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:22.017869+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:22.017875+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:23.878578+00:00","data":{"completion_tokens":121,"cost_usd":0.00387,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend([char] * max(count, 0))\n+        if len(result) > 10000:\n+            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":1.8556595710106194,"request_id":"chatcmpl-1dfc746d7f85465490e0478648297e1d","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:24.379666+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.500738,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:24.831358+00:00","data":{"elapsed_s":0.451204,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:24.831487+00:00","data":{"cost_usd":0.00387,"solved":false,"steps":1,"tokens":387},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character: {char}\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(f\"Invalid count: {count}\")\n        result.extend([char] * max(count, 0))\n        if len(result) > 10000:\n            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"92d8b8dd64ef41dab32311c2f5e24953","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":387,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":387,"tokens_complete":true},{"cost_usd":0.03438,"created_at":1790135664.8331044,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,61 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each element must be a pair where:\n+        - char is a string of length exactly 1.\n+        - count is a non‑negative integer (bool is not allowed).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. The result must contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed or if the resulting string would exceed\n+        10 000 characters.\n+    \"\"\"\n+    # Verify that runs is iterable\n+    if not hasattr(runs, '__iter__'):\n+        raise ValueError(\"Input must be iterable\")\n+\n+    result_parts = []\n+    total_len = 0\n+    MAX_LEN = 10000\n+\n+    for pair in runs:\n+        # Each pair must be iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(f\"Malformed pair: {pair}\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+\n+        # Validate count: must be int (but not bool) and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count (not an int): {count}\")\n+        if count < 0:\n+            raise ValueError(f\"Count cannot be negative: {count}\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Ensure we don't exceed the maximum allowed length\n+        if total_len + count > MAX_LEN:\n+            raise ValueError(\"Decoded string would exceed 10000 characters\")\n+        total_len += count\n+        result_parts.append(char * count)\n+\n+    return ''.join(result_parts)\n+\n+\n+__all__ = [\"rle_decode\"]\n","elapsed_s":14.943,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:24.833112+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:25.334037+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.500511,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:25.334067+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:25.334074+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:28.191910+00:00","data":{"completion_tokens":479,"cost_usd":0.00809,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,57 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each element must be a pair where:\n+        - char is a string of length exactly 1.\n+        - count is a non‑negative integer (bool is not allowed).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. The result must contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed or if the resulting string would exceed\n+        10 000 characters.\n+    \"\"\"\n+    if not hasattr(runs, '__iter__'):\n+        raise ValueError(\"Input must be iterable\")\n+\n+    result_parts = []\n+    total_len = 0\n+    MAX_LEN = 10000\n+\n+    for pair in runs:\n+        # Ensure the pair is iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(f\"Malformed pair: {pair}\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count (not an int): {count}\")\n+        if count < 0:\n+            raise ValueError(f\"Count cannot be negative: {count}\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Check length constraint before building the string\n+        if total_len + count > MAX_LEN:\n+            raise ValueError(\"Decoded string would exceed 10000 characters\")\n+        total_len += count\n+        result_parts.append(char * count)\n+\n+    return ''.join(result_parts)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":2.853925248607993,"request_id":"chatcmpl-a8e579b714034beea7a90f75b5d8d448","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:28.702535+00:00","data":{"cases":[{"actual":null,"error":"NameError","name":"valid","passed":false},{"actual":null,"error":"NameError","name":"negative","passed":false}],"elapsed_s":0.510178,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:28.702708+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":1,"cost_usd":0.00809,"improvement":-1,"last_action":"deliberate","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":7,"title":"Controller decision"},{"at":"2026-09-23T03:54:28.702715+00:00","data":{"action":"deliberate","attempt":2},"kind":"model","message":"deliberate","seq":8,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:33.516492+00:00","data":{"completion_tokens":481,"cost_usd":0.01185,"diff":"","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":704,"provider_elapsed_s":4.809578582178801,"request_id":"chatcmpl-a283ffb5776d4cbab7c051e79a95560b","seed_requested":31},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":9,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:33.917372+00:00","data":{"cases":[{"actual":null,"error":"NameError","name":"valid","passed":false},{"actual":null,"error":"NameError","name":"negative","passed":false}],"elapsed_s":0.400523,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 checks passed","seq":10,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:33.917499+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":2,"cost_usd":0.01994,"improvement":0,"last_action":"deliberate","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":11,"title":"Controller decision"},{"at":"2026-09-23T03:54:33.917504+00:00","data":{"action":"deliberate","attempt":3},"kind":"model","message":"deliberate","seq":12,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:39.775264+00:00","data":{"completion_tokens":740,"cost_usd":0.01444,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -20,6 +20,7 @@\n         If any pair is malformed or if the resulting string would exceed\n         10 000 characters.\n     \"\"\"\n+    # Verify that runs is iterable\n     if not hasattr(runs, '__iter__'):\n         raise ValueError(\"Input must be iterable\")\n \n@@ -28,7 +29,7 @@\n     MAX_LEN = 10000\n \n     for pair in runs:\n-        # Ensure the pair is iterable of length 2\n+        # Each pair must be iterable of length 2\n         try:\n             char, count = pair\n         except Exception:\n@@ -38,7 +39,7 @@\n         if not isinstance(char, str) or len(char) != 1:\n             raise ValueError(f\"Invalid character: {char}\")\n \n-        # Validate count: must be int, not bool, and non‑negative\n+        # Validate count: must be int (but not bool) and non‑negative\n         if isinstance(count, bool) or not isinstance(count, int):\n             raise ValueError(f\"Invalid count (not an int): {count}\")\n         if count < 0:\n@@ -48,10 +49,13 @@\n         if count == 0:\n             continue\n \n-        # Check length constraint before building the string\n+        # Ensure we don't exceed the maximum allowed length\n         if total_len + count > MAX_LEN:\n             raise ValueError(\"Decoded string would exceed 10000 characters\")\n         total_len += count\n         result_parts.append(char * count)\n \n     return ''.join(result_parts)\n+\n+\n+__all__ = [\"rle_decode\"]\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":704,"provider_elapsed_s":5.853686694055796,"request_id":"chatcmpl-09b41dcf84394f1a9d33dbcd377b111e","seed_requested":32},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":13,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:39.775868+00:00","data":{"cases":[{"actual":null,"error":"Runtime introspection and host access are unavailable","name":"valid","passed":false},{"actual":null,"error":"Runtime introspection and host access are unavailable","name":"negative","passed":false}],"elapsed_s":0.000365,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 checks passed","seq":14,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:39.776415+00:00","data":{"elapsed_s":0.000326,"note":"Held-out cases were not supplied to the language model.","passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"0/5 held-out checks passed","seq":15,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:39.776485+00:00","data":{"cost_usd":0.03438,"solved":false,"steps":3,"tokens":3438},"kind":"complete","message":"step_budget","seq":16,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":0,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":"Runtime introspection and host access are unavailable","name":"valid","passed":false},{"error":"Runtime introspection and host access are unavailable","name":"negative","passed":false}],"passed":0,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run-length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable of (char, count)\n        Each element must be a pair where:\n        - char is a string of length exactly 1.\n        - count is a non‑negative integer (bool is not allowed).\n\n    Returns\n    -------\n    str\n        The decoded string. The result must contain at most 10 000 characters.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed or if the resulting string would exceed\n        10 000 characters.\n    \"\"\"\n    # Verify that runs is iterable\n    if not hasattr(runs, '__iter__'):\n        raise ValueError(\"Input must be iterable\")\n\n    result_parts = []\n    total_len = 0\n    MAX_LEN = 10000\n\n    for pair in runs:\n        # Each pair must be iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(f\"Malformed pair: {pair}\")\n\n        # Validate character\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character: {char}\")\n\n        # Validate count: must be int (but not bool) and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(f\"Invalid count (not an int): {count}\")\n        if count < 0:\n            raise ValueError(f\"Count cannot be negative: {count}\")\n\n        # Zero count contributes nothing\n        if count == 0:\n            continue\n\n        # Ensure we don't exceed the maximum allowed length\n        if total_len + count > MAX_LEN:\n            raise ValueError(\"Decoded string would exceed 10000 characters\")\n        total_len += count\n        result_parts.append(char * count)\n\n    return ''.join(result_parts)\n\n\n__all__ = [\"rle_decode\"]\n","heldout_passed":0,"heldout_total":5,"id":"7267c93d2ba84d68996d01098db0a3df","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":3438,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":0,"public_total":2,"solved":false,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":3,"stop_reason":"step_budget","study_seed":29,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":3438,"tokens_complete":true},{"cost_usd":0.00387,"created_at":1790135679.7782528,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend([char] * max(count, 0))\n+        if len(result) > 10000:\n+            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":4.61,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:39.778258+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:40.177730+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.399152,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:40.177780+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:40.177784+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:43.486264+00:00","data":{"completion_tokens":121,"cost_usd":0.00387,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character: {char}\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(f\"Invalid count: {count}\")\n+        result.extend([char] * max(count, 0))\n+        if len(result) > 10000:\n+            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":3.3047230620868504,"request_id":"chatcmpl-ec8e223b440a4470b06241c96e96b3a1","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:43.936786+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450111,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:44.387697+00:00","data":{"elapsed_s":0.450385,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:44.387812+00:00","data":{"cost_usd":0.00387,"solved":false,"steps":1,"tokens":387},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character: {char}\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(f\"Invalid count: {count}\")\n        result.extend([char] * max(count, 0))\n        if len(result) > 10000:\n            raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"344e3091343c4ec79103a582e4000e33","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":387,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":387,"tokens_complete":true},{"cost_usd":0.00821,"created_at":1790135684.3897157,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,56 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run‑length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each element must be a two‑item iterable where:\n+        * ``char`` is a string of length exactly one.\n+        * ``count`` is a non‑negative integer (bool is not allowed).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. Pairs with a count of zero contribute nothing.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed or if the resulting string would exceed\n+        10 000 characters.\n+    \"\"\"\n+    # Build the result incrementally so we can enforce the length limit early.\n+    result_parts = []\n+    total_len = 0\n+    MAX_LEN = 10000\n+\n+    for pair in runs:\n+        # Ensure the pair is iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be an integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Enforce maximum output length\n+        if total_len + count > MAX_LEN:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","elapsed_s":4.662,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:44.389726+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:44.890207+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.499771,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:44.890305+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:44.890311+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:48.100243+00:00","data":{"completion_tokens":491,"cost_usd":0.00821,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,56 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run‑length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each element must be a two‑item iterable where:\n+        * ``char`` is a string of length exactly one.\n+        * ``count`` is a non‑negative integer (bool is not allowed).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string. Pairs with a count of zero contribute nothing.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed or if the resulting string would exceed\n+        10 000 characters.\n+    \"\"\"\n+    # Build the result incrementally so we can enforce the length limit early.\n+    result_parts = []\n+    total_len = 0\n+    MAX_LEN = 10000\n+\n+    for pair in runs:\n+        # Ensure the pair is iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(f\"Invalid count {count!r}: must be an integer\")\n+        if count < 0:\n+            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Enforce maximum output length\n+        if total_len + count > MAX_LEN:\n+            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n+\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":3.2029473138973117,"request_id":"chatcmpl-1273badf2d3c4d7eaf6a337df1152b66","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:48.551119+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450542,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:49.051792+00:00","data":{"elapsed_s":0.500235,"note":"Held-out cases were not supplied to the language model.","passed":5,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"5/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:49.051915+00:00","data":{"cost_usd":0.00821,"solved":true,"steps":1,"tokens":821},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":5,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run‑length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable of (char, count)\n        Each element must be a two‑item iterable where:\n        * ``char`` is a string of length exactly one.\n        * ``count`` is a non‑negative integer (bool is not allowed).\n\n    Returns\n    -------\n    str\n        The decoded string. Pairs with a count of zero contribute nothing.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed or if the resulting string would exceed\n        10 000 characters.\n    \"\"\"\n    # Build the result incrementally so we can enforce the length limit early.\n    result_parts = []\n    total_len = 0\n    MAX_LEN = 10000\n\n    for pair in runs:\n        # Ensure the pair is iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(\"Each run must be a pair (character, count)\")\n\n        # Validate character\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(f\"Invalid character {char!r}: must be a single-character string\")\n\n        # Validate count: must be int, not bool, and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(f\"Invalid count {count!r}: must be an integer\")\n        if count < 0:\n            raise ValueError(f\"Invalid count {count!r}: must be non‑negative\")\n\n        # Zero count contributes nothing\n        if count == 0:\n            continue\n\n        # Enforce maximum output length\n        if total_len + count > MAX_LEN:\n            raise ValueError(\"Decoded string would exceed maximum allowed length of 10000 characters\")\n\n        result_parts.append(char * count)\n        total_len += count\n\n    return ''.join(result_parts)\n","heldout_passed":5,"heldout_total":5,"id":"cd20ec82a6b64a24a04f2f166c61f0a2","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":821,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":821,"tokens_complete":true}],"seed":29,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads · seed 29"},{"comparison_id":"codec-escaped-fields@seed=29","runs":[{"cost_usd":0.00663,"created_at":1790135689.0538201,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,41 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash (``\\\\``) escapes the next character, including ``|`` and ``\\\\``.\n+    The escape character itself is removed from the output.\n+    Empty fields are preserved. If the string ends with an unpaired backslash,\n+    a ``ValueError`` is raised.\n+\n+    Examples\n+    --------\n+    >>> split_escaped(r\"a\\\\|b|c\")\n+    ['a\\\\', 'b', 'c']\n+    >>> split_escaped(\"|a||\")\n+    ['', 'a', '', '']\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == \"\\\\\":\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash with no character to escape\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == \"|\":\n+            # Field separator\n+            fields.append(\"\".join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(\"\".join(current))\n+    return fields\n","elapsed_s":4.258,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:49.053834+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:49.453253+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.399029,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:49.453284+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:49.453289+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:52.409288+00:00","data":{"completion_tokens":344,"cost_usd":0.00663,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,41 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash (``\\\\``) escapes the next character, including ``|`` and ``\\\\``.\n+    The escape character itself is removed from the output.\n+    Empty fields are preserved. If the string ends with an unpaired backslash,\n+    a ``ValueError`` is raised.\n+\n+    Examples\n+    --------\n+    >>> split_escaped(r\"a\\\\|b|c\")\n+    ['a\\\\', 'b', 'c']\n+    >>> split_escaped(\"|a||\")\n+    ['', 'a', '', '']\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+\n+    while i < n:\n+        ch = text[i]\n+        if ch == \"\\\\\":\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash with no character to escape\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == \"|\":\n+            # Field separator\n+            fields.append(\"\".join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(\"\".join(current))\n+    return fields\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":2.951069866772741,"request_id":"chatcmpl-702f15ed5d7b45128d3db71ff3c84f78","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:52.860442+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.450823,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:53.311677+00:00","data":{"elapsed_s":0.450861,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:53.311778+00:00","data":{"cost_usd":0.00663,"solved":true,"steps":1,"tokens":663},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n\n    Backslash (``\\\\``) escapes the next character, including ``|`` and ``\\\\``.\n    The escape character itself is removed from the output.\n    Empty fields are preserved. If the string ends with an unpaired backslash,\n    a ``ValueError`` is raised.\n\n    Examples\n    --------\n    >>> split_escaped(r\"a\\\\|b|c\")\n    ['a\\\\', 'b', 'c']\n    >>> split_escaped(\"|a||\")\n    ['', 'a', '', '']\n    \"\"\"\n    fields = []\n    current = []\n    i = 0\n    n = len(text)\n\n    while i < n:\n        ch = text[i]\n        if ch == \"\\\\\":\n            # Escape next character; must exist\n            i += 1\n            if i >= n:\n                raise ValueError(\"Trailing backslash with no character to escape\")\n            # Append escaped character literally\n            current.append(text[i])\n        elif ch == \"|\":\n            # Field separator\n            fields.append(\"\".join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n\n    # Append the final field\n    fields.append(\"\".join(current))\n    return fields\n","heldout_passed":4,"heldout_total":4,"id":"8967c3d4ab8a43b1a1d79b7b06b365e9","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":663,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":663,"tokens_complete":true},{"cost_usd":0.00363,"created_at":1790135693.3135839,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":3.609,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:53.313600+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:53.763261+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.44918,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:53.763333+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:53.763339+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:55.971357+00:00","data":{"completion_tokens":106,"cost_usd":0.00363,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":257,"provider_elapsed_s":2.20398328313604,"request_id":"chatcmpl-4b98b5f9ec26431bb0368a7aa5ef72ea","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:56.472690+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.501041,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:54:56.922583+00:00","data":{"elapsed_s":0.44945,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:54:56.922686+00:00","data":{"cost_usd":0.00363,"solved":true,"steps":1,"tokens":363},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    result = []\n    current = []\n    escape = False\n    for char in text:\n        if escape:\n            current.append(char)\n            escape = False\n        elif char == '\\\\':\n            escape = True\n        elif char == '|':\n            result.append(''.join(current))\n            current = []\n        else:\n            current.append(char)\n    if escape:\n        raise ValueError(\"Trailing backslash\")\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"65cdf8f5da954b4c919cb0ad895f7084","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":363,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":363,"tokens_complete":true},{"cost_usd":0.00573,"created_at":1790135696.9243717,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,28 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+    A backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    result = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash\")\n+            # Escape next character\n+            current.append(text[i])\n+        elif ch == '|':\n+            # delimiter\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+    # Append last field\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":3.382,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:54:56.924377+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:54:57.324229+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.39952,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:54:57.324303+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:54:57.324309+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:54:59.266307+00:00","data":{"completion_tokens":254,"cost_usd":0.00573,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,28 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+    A backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    result = []\n+    current = []\n+    i = 0\n+    n = len(text)\n+    while i < n:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            i += 1\n+            if i >= n:\n+                raise ValueError(\"Trailing backslash\")\n+            # Escape next character\n+            current.append(text[i])\n+        elif ch == '|':\n+            # delimiter\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+    # Append last field\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":1.9372804840095341,"request_id":"chatcmpl-4ccad0dd65034b4bb35620bb860f14ab","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:54:59.717172+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.450536,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:55:00.306563+00:00","data":{"elapsed_s":0.588847,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:55:00.306679+00:00","data":{"cost_usd":0.00573,"solved":true,"steps":1,"tokens":573},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n    A backslash escapes the next character (including '|' and '\\\\') and is removed.\n    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n    \"\"\"\n    result = []\n    current = []\n    i = 0\n    n = len(text)\n    while i < n:\n        ch = text[i]\n        if ch == '\\\\':\n            i += 1\n            if i >= n:\n                raise ValueError(\"Trailing backslash\")\n            # Escape next character\n            current.append(text[i])\n        elif ch == '|':\n            # delimiter\n            result.append(''.join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n    # Append last field\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"5db01fc526bd4265a64156d1e84f924d","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":573,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":573,"tokens_complete":true},{"cost_usd":0.00363,"created_at":1790135700.3095925,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":4.337,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T03:55:00.309604+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T03:55:01.069147+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.758992,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T03:55:01.069198+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T03:55:01.069204+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T03:55:03.124346+00:00","data":{"completion_tokens":106,"cost_usd":0.00363,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,19 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    escape = False\n+    for char in text:\n+        if escape:\n+            current.append(char)\n+            escape = False\n+        elif char == '\\\\':\n+            escape = True\n+        elif char == '|':\n+            result.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(char)\n+    if escape:\n+        raise ValueError(\"Trailing backslash\")\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":257,"provider_elapsed_s":2.035675663035363,"request_id":"chatcmpl-9e778dea426141859e6f2a474267fca5","seed_requested":30},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T03:55:04.040606+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.915058,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T03:55:04.646056+00:00","data":{"elapsed_s":0.604817,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T03:55:04.646185+00:00","data":{"cost_usd":0.00363,"solved":true,"steps":1,"tokens":363},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":29,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    result = []\n    current = []\n    escape = False\n    for char in text:\n        if escape:\n            current.append(char)\n            escape = False\n        elif char == '\\\\':\n            escape = True\n        elif char == '|':\n            result.append(''.join(current))\n            current = []\n        else:\n            current.append(char)\n    if escape:\n        raise ValueError(\"Trailing backslash\")\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"83c57fc0b1bc4e4e8d542fdfabe36020","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":363,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"0ff7fc1f93fe300ba6e0cf4a2a15038890cf60208cd39bb68fa2d51934845690","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":29,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":363,"tokens_complete":true}],"seed":29,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields · seed 29"},{"comparison_id":"interval-merge@seed=43","runs":[{"cost_usd":0.00748,"created_at":1790136185.9066923,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,39 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a two-element list or tuple [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start, with all\n+    overlapping or touching intervals merged into a single interval.\n+    The input list and its inner intervals are not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Guard against empty input\n+    if not intervals:\n+        return []\n+\n+    # Create a sorted copy of the intervals based on start value\n+    # Also copy each interval to avoid mutating the original inner lists/tuples\n+    sorted_intervals = sorted(\n+        (list(interval) for interval in intervals),\n+        key=lambda x: x[0]\n+    )\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n+            continue\n+\n+        last_start, last_end = merged[-1]\n+\n+        # Merge if current interval overlaps or touches the previous one\n+        if start <= last_end:  # touching (start == last_end) is also merged\n+            merged[-1][1] = max(last_end, end)\n         else:\n-            result.append([start, end])\n-    return result\n+            merged.append([start, end])\n+\n+    return merged\n","elapsed_s":3.738,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:05.906702+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:06.357124+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449967,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:06.357210+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:06.357216+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:08.793469+00:00","data":{"completion_tokens":394,"cost_usd":0.00748,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,39 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a two-element list or tuple [start, end] with start < end.\n+    The function returns a new list of intervals sorted by start, with all\n+    overlapping or touching intervals merged into a single interval.\n+    The input list and its inner intervals are not mutated.\n+\n+    Example:\n+        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n+        [[1, 5], [6, 10]]\n+    \"\"\"\n+    # Guard against empty input\n+    if not intervals:\n+        return []\n+\n+    # Create a sorted copy of the intervals based on start value\n+    # Also copy each interval to avoid mutating the original inner lists/tuples\n+    sorted_intervals = sorted(\n+        (list(interval) for interval in intervals),\n+        key=lambda x: x[0]\n+    )\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n+            continue\n+\n+        last_start, last_end = merged[-1]\n+\n+        # Merge if current interval overlaps or touches the previous one\n+        if start <= last_end:  # touching (start == last_end) is also merged\n+            merged[-1][1] = max(last_end, end)\n         else:\n-            result.append([start, end])\n-    return result\n+            merged.append([start, end])\n+\n+    return merged\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":354,"provider_elapsed_s":2.4303685040213168,"request_id":"chatcmpl-fff3f58548e34a028355cf62668c3c5f","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:09.244100+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.450156,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:09.644266+00:00","data":{"elapsed_s":0.399739,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:09.644376+00:00","data":{"cost_usd":0.00748,"solved":true,"steps":1,"tokens":748},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    \"\"\"\n    Merge a list of intervals.\n\n    Each interval is a two-element list or tuple [start, end] with start < end.\n    The function returns a new list of intervals sorted by start, with all\n    overlapping or touching intervals merged into a single interval.\n    The input list and its inner intervals are not mutated.\n\n    Example:\n        >>> merge_intervals([[1, 3], [2, 5], [6, 8], [8, 10]])\n        [[1, 5], [6, 10]]\n    \"\"\"\n    # Guard against empty input\n    if not intervals:\n        return []\n\n    # Create a sorted copy of the intervals based on start value\n    # Also copy each interval to avoid mutating the original inner lists/tuples\n    sorted_intervals = sorted(\n        (list(interval) for interval in intervals),\n        key=lambda x: x[0]\n    )\n\n    merged = []\n    for start, end in sorted_intervals:\n        if not merged:\n            merged.append([start, end])\n            continue\n\n        last_start, last_end = merged[-1]\n\n        # Merge if current interval overlaps or touches the previous one\n        if start <= last_end:  # touching (start == last_end) is also merged\n            merged[-1][1] = max(last_end, end)\n        else:\n            merged.append([start, end])\n\n    return merged\n","heldout_passed":3,"heldout_total":3,"id":"b11d416ba33244428b1085d4c375144c","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":748,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":748,"tokens_complete":true},{"cost_usd":0.00918,"created_at":1790136189.6456912,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,19 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    merged = [sorted_intervals[0][:]]  # Create a copy to avoid mutating the input\n+\n+    for current in sorted_intervals[1:]:\n+        last_merged = merged[-1]\n+        if current[0] <= last_merged[1]:\n+            # Merge overlapping intervals\n+            last_merged[1] = max(last_merged[1], current[1])\n         else:\n-            result.append([start, end])\n-    return result\n+            # Add non-overlapping interval\n+            merged.append(current[:])  # Create a copy to avoid mutating the input\n+\n+    return merged\n","elapsed_s":8.434,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:09.645695+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:10.095755+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449689,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:10.095841+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:10.095849+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:13.949408+00:00","data":{"completion_tokens":124,"cost_usd":0.00417,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,19 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    if not intervals:\n+        return []\n+\n+    # Sort intervals by start time\n+    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n+\n+    merged = [sorted_intervals[0]]\n+\n+    for current in sorted_intervals[1:]:\n+        last_merged = merged[-1]\n+        if current[0] <= last_merged[1]:\n+            # Merge overlapping intervals\n+            last_merged[1] = max(last_merged[1], current[1])\n         else:\n-            result.append([start, end])\n-    return result\n+            # Add non-overlapping interval\n+            merged.append(current)\n+\n+    return merged\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":293,"provider_elapsed_s":3.848250205628574,"request_id":"chatcmpl-bc699aadf8b347e2bf1bda3c5d45876c","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:14.401433+00:00","data":{"cases":[{"actual":[[1,8]],"error":"InputMutation","name":"unsorted touching","passed":false},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.45161,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:14.401605+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":1,"cost_usd":0.00417,"improvement":1,"last_action":"fast","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":7,"title":"Controller decision"},{"at":"2026-09-23T04:03:14.401612+00:00","data":{"action":"fast","attempt":2},"kind":"model","message":"fast","seq":8,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:17.122198+00:00","data":{"completion_tokens":148,"cost_usd":0.00501,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -5,7 +5,7 @@\n     # Sort intervals by start time\n     sorted_intervals = sorted(intervals, key=lambda x: x[0])\n \n-    merged = [sorted_intervals[0]]\n+    merged = [sorted_intervals[0][:]]  # Create a copy to avoid mutating the input\n \n     for current in sorted_intervals[1:]:\n         last_merged = merged[-1]\n@@ -14,6 +14,6 @@\n             last_merged[1] = max(last_merged[1], current[1])\n         else:\n             # Add non-overlapping interval\n-            merged.append(current)\n+            merged.append(current[:])  # Create a copy to avoid mutating the input\n \n     return merged\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":353,"provider_elapsed_s":2.714602007996291,"request_id":"chatcmpl-1236e9a3816048fc9f5359334b2f2bb1","seed_requested":45},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":9,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:17.627662+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.505041,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":10,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:18.079545+00:00","data":{"elapsed_s":0.451277,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":11,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:18.079700+00:00","data":{"cost_usd":0.00918,"solved":true,"steps":2,"tokens":918},"kind":"complete","message":"visible_tests_pass","seq":12,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    if not intervals:\n        return []\n\n    # Sort intervals by start time\n    sorted_intervals = sorted(intervals, key=lambda x: x[0])\n\n    merged = [sorted_intervals[0][:]]  # Create a copy to avoid mutating the input\n\n    for current in sorted_intervals[1:]:\n        last_merged = merged[-1]\n        if current[0] <= last_merged[1]:\n            # Merge overlapping intervals\n            last_merged[1] = max(last_merged[1], current[1])\n        else:\n            # Add non-overlapping interval\n            merged.append(current[:])  # Create a copy to avoid mutating the input\n\n    return merged\n","heldout_passed":3,"heldout_total":3,"id":"1a116ee7e7a54f759ca75295c6056626","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":918,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":2,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":918,"tokens_complete":true},{"cost_usd":0.03117,"created_at":1790136198.0816138,"diff":"","elapsed_s":0.793,"error":"Model provider returned HTTP 500","evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:18.081628+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:18.531906+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449909,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:18.531955+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:18.531960+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:18.874936+00:00","data":{"reserved_cost_usd":0.03117},"kind":"error","message":"Model provider returned HTTP 500","seq":5,"title":"Provider request failed"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":0,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":false},{"error":null,"name":"contained","passed":false}],"passed":0,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","heldout_passed":0,"heldout_total":3,"id":"0f80c9b67262453fa5bdfa2eb8002314","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":0,"mode":"recorded","model_ids":[],"policy":"heuristic","public_passed":0,"public_total":2,"solved":false,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"failed","steps":1,"stop_reason":"provider_error","study_seed":43,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":null,"tokens_complete":false},{"cost_usd":0.00658,"created_at":1790136198.876189,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,8 +1,25 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a list or tuple [start, end] with start < end.\n+    Intervals that overlap or touch (i.e., end == next start) are merged.\n+    The returned list is sorted by start and contains disjoint intervals.\n+    The input `intervals` is not mutated.\n+    \"\"\"\n+    # Make a shallow copy of each interval to avoid mutating the input\n+    sorted_intervals = sorted([list(iv) for iv in intervals], key=lambda x: x[0])\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if overlapping or touching\n+            if start <= last_end:\n+                # Extend the last interval's end if needed\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","elapsed_s":3.338,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:18.876197+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-merge"},"kind":"inspect","message":"Merge touching reservation intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:19.325666+00:00","data":{"cases":[{"actual":[[5,3],[3,6]],"error":null,"name":"unsorted touching","passed":false},{"actual":[[1,3]],"error":null,"name":"contained","passed":false}],"elapsed_s":0.449126,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:19.325699+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:19.325705+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:21.311601+00:00","data":{"completion_tokens":304,"cost_usd":0.00658,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,8 +1,25 @@\n def merge_intervals(intervals):\n-    result = []\n-    for start, end in intervals:\n-        if result and start < result[-1][1]:\n-            result[-1][1] = end\n+    \"\"\"\n+    Merge a list of intervals.\n+\n+    Each interval is a list or tuple [start, end] with start < end.\n+    Intervals that overlap or touch (i.e., end == next start) are merged.\n+    The returned list is sorted by start and contains disjoint intervals.\n+    The input `intervals` is not mutated.\n+    \"\"\"\n+    # Make a shallow copy of each interval to avoid mutating the input\n+    sorted_intervals = sorted([list(iv) for iv in intervals], key=lambda x: x[0])\n+\n+    merged = []\n+    for start, end in sorted_intervals:\n+        if not merged:\n+            merged.append([start, end])\n         else:\n-            result.append([start, end])\n-    return result\n+            last_start, last_end = merged[-1]\n+            # Merge if overlapping or touching\n+            if start <= last_end:\n+                # Extend the last interval's end if needed\n+                merged[-1][1] = max(last_end, end)\n+            else:\n+                merged.append([start, end])\n+    return merged\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":354,"provider_elapsed_s":1.9815994268283248,"request_id":"chatcmpl-946f6fd88df74e40883e337f8bc0d7ee","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:21.763120+00:00","data":{"cases":[{"actual":[[1,8]],"error":null,"name":"unsorted touching","passed":true},{"actual":[[1,10]],"error":null,"name":"contained","passed":true}],"elapsed_s":0.451029,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:22.214283+00:00","data":{"elapsed_s":0.450631,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:22.214407+00:00","data":{"cost_usd":0.00658,"solved":true,"steps":1,"tokens":658},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"unsorted touching","passed":true},{"error":null,"name":"contained","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def merge_intervals(intervals):\n    \"\"\"\n    Merge a list of intervals.\n\n    Each interval is a list or tuple [start, end] with start < end.\n    Intervals that overlap or touch (i.e., end == next start) are merged.\n    The returned list is sorted by start and contains disjoint intervals.\n    The input `intervals` is not mutated.\n    \"\"\"\n    # Make a shallow copy of each interval to avoid mutating the input\n    sorted_intervals = sorted([list(iv) for iv in intervals], key=lambda x: x[0])\n\n    merged = []\n    for start, end in sorted_intervals:\n        if not merged:\n            merged.append([start, end])\n        else:\n            last_start, last_end = merged[-1]\n            # Merge if overlapping or touching\n            if start <= last_end:\n                # Extend the last interval's end if needed\n                merged[-1][1] = max(last_end, end)\n            else:\n                merged.append([start, end])\n    return merged\n","heldout_passed":3,"heldout_total":3,"id":"a5adb770924d4081b4ff4c498f166d61","initial_source":"def merge_intervals(intervals):\n    result = []\n    for start, end in intervals:\n        if result and start < result[-1][1]:\n            result[-1][1] = end\n        else:\n            result.append([start, end])\n    return result\n","known_tokens":658,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-merge","task_title":"Merge touching reservation intervals","tokens":658,"tokens_complete":true}],"seed":43,"task_id":"interval-merge","task_title":"Merge touching reservation intervals · seed 43"},{"comparison_id":"interval-intersection@seed=43","runs":[{"cost_usd":0.00636,"created_at":1790136202.2162626,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.161,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:22.216274+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:22.666063+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449498,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:22.666089+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:22.666095+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:24.526069+00:00","data":{"completion_tokens":273,"cost_usd":0.00636,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,30 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n+    Each interval is represented as a tuple or list [start, end) with start < end.\n+    The result is a list of [start, end] pairs (also half‑open) where the\n+    intersection is non‑empty. Intervals that only touch at an endpoint are not\n+    considered overlapping and therefore are omitted.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute the overlap interval\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Only keep non‑empty intersections (half‑open, so start < end)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the pointer of the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":1.8550892788916826,"request_id":"chatcmpl-42bf0886cb29436685d1bc16d7c607c9","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:24.976738+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450304,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:25.377292+00:00","data":{"elapsed_s":0.400065,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:25.377420+00:00","data":{"cost_usd":0.00636,"solved":true,"steps":1,"tokens":636},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half‑open intervals.\n    Each interval is represented as a tuple or list [start, end) with start < end.\n    The result is a list of [start, end] pairs (also half‑open) where the\n    intersection is non‑empty. Intervals that only touch at an endpoint are not\n    considered overlapping and therefore are omitted.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute the overlap interval\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # Only keep non‑empty intersections (half‑open, so start < end)\n        if start < end:\n            result.append([start, end])\n\n        # Advance the pointer of the interval that ends first\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"f1dfa0b8379a4827ba4c81ca5e2f2cb0","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":636,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":636,"tokens_complete":true},{"cost_usd":0.00405,"created_at":1790136205.379186,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i = j = 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":3.318,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:25.379196+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:25.828625+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.449101,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:25.828676+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:25.828681+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:27.795504+00:00","data":{"completion_tokens":105,"cost_usd":0.00405,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i = j = 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":1.9620402082800865,"request_id":"chatcmpl-e629028453334200960e69b55b23d822","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:28.246534+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450768,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:28.696887+00:00","data":{"elapsed_s":0.449895,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:28.697033+00:00","data":{"cost_usd":0.00405,"solved":true,"steps":1,"tokens":405},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i = j = 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"e1401cf78e9f44d9b135ca5202e3f2ab","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":405,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":405,"tokens_complete":true},{"cost_usd":0.00699,"created_at":1790136208.6986256,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,43 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half-open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The function returns a list of [start, end] pairs representing the non‑empty\n+    intersections, also as half‑open intervals. Intersections that reduce to a\n+    single point (where start == end) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute overlap\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Add if non‑empty (half‑open interval)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","elapsed_s":3.596,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:28.698635+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:29.149532+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.450424,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:29.149649+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:29.149659+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:31.342641+00:00","data":{"completion_tokens":336,"cost_usd":0.00699,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,43 @@\n def intersect_intervals(left, right):\n+    \"\"\"\n+    Compute the intersections of two sorted lists of disjoint half-open intervals.\n+\n+    Each interval is represented as a list or tuple [start, end) with start < end.\n+    The function returns a list of [start, end] pairs representing the non‑empty\n+    intersections, also as half‑open intervals. Intersections that reduce to a\n+    single point (where start == end) are omitted.\n+\n+    Parameters\n+    ----------\n+    left : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+    right : List[Tuple[int, int] | List[int]]\n+        Sorted list of disjoint half‑open intervals.\n+\n+    Returns\n+    -------\n+    List[List[int]]\n+        Sorted list of non‑empty intersections.\n+    \"\"\"\n+    i, j = 0, 0\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+\n+    while i < len(left) and j < len(right):\n+        a_start, a_end = left[i]\n+        b_start, b_end = right[j]\n+\n+        # Compute overlap\n+        start = max(a_start, b_start)\n+        end = min(a_end, b_end)\n+\n+        # Add if non‑empty (half‑open interval)\n+        if start < end:\n+            result.append([start, end])\n+\n+        # Advance the interval that ends first\n+        if a_end <= b_end:\n+            i += 1\n+        else:\n+            j += 1\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":363,"provider_elapsed_s":2.1878943918272853,"request_id":"chatcmpl-7d47bdb090aa46e2a38f0cde1dd3c24e","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:31.844304+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.501252,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:32.294742+00:00","data":{"elapsed_s":0.449931,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:32.294904+00:00","data":{"cost_usd":0.00699,"solved":true,"steps":1,"tokens":699},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    \"\"\"\n    Compute the intersections of two sorted lists of disjoint half-open intervals.\n\n    Each interval is represented as a list or tuple [start, end) with start < end.\n    The function returns a list of [start, end] pairs representing the non‑empty\n    intersections, also as half‑open intervals. Intersections that reduce to a\n    single point (where start == end) are omitted.\n\n    Parameters\n    ----------\n    left : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n    right : List[Tuple[int, int] | List[int]]\n        Sorted list of disjoint half‑open intervals.\n\n    Returns\n    -------\n    List[List[int]]\n        Sorted list of non‑empty intersections.\n    \"\"\"\n    i, j = 0, 0\n    result = []\n\n    while i < len(left) and j < len(right):\n        a_start, a_end = left[i]\n        b_start, b_end = right[j]\n\n        # Compute overlap\n        start = max(a_start, b_start)\n        end = min(a_end, b_end)\n\n        # Add if non‑empty (half‑open interval)\n        if start < end:\n            result.append([start, end])\n\n        # Advance the interval that ends first\n        if a_end <= b_end:\n            i += 1\n        else:\n            j += 1\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"07f9a2d8efbb41ebad351f23c695b553","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":699,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":699,"tokens_complete":true},{"cost_usd":0.00405,"created_at":1790136212.296684,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i = j = 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","elapsed_s":3.415,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:32.296701+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-intersection"},"kind":"inspect","message":"Intersect half-open availability intervals","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:32.746665+00:00","data":{"cases":[{"actual":[[3,3]],"error":null,"name":"touching","passed":false},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.44962,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:32.746798+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:32.746805+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:34.707942+00:00","data":{"completion_tokens":105,"cost_usd":0.00405,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,13 @@\n def intersect_intervals(left, right):\n     result = []\n-    for a, b in left:\n-        for c, d in right:\n-            if max(a, c) <= min(b, d):\n-                result.append([max(a, c), min(b, d)])\n+    i = j = 0\n+    while i < len(left) and j < len(right):\n+        a, b = left[i]\n+        c, d = right[j]\n+        if max(a, c) < min(b, d):\n+            result.append([max(a, c), min(b, d)])\n+        if b <= d:\n+            i += 1\n+        else:\n+            j += 1\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":300,"provider_elapsed_s":1.9559220666997135,"request_id":"chatcmpl-f67eaea6f6ee4b09829fe7b6fb92f2c2","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:35.209667+00:00","data":{"cases":[{"actual":[],"error":null,"name":"touching","passed":true},{"actual":[[2,4]],"error":null,"name":"overlap","passed":true}],"elapsed_s":0.501329,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:35.711690+00:00","data":{"elapsed_s":0.501659,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:35.711802+00:00","data":{"cost_usd":0.00405,"solved":true,"steps":1,"tokens":405},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"touching","passed":true},{"error":null,"name":"overlap","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def intersect_intervals(left, right):\n    result = []\n    i = j = 0\n    while i < len(left) and j < len(right):\n        a, b = left[i]\n        c, d = right[j]\n        if max(a, c) < min(b, d):\n            result.append([max(a, c), min(b, d)])\n        if b <= d:\n            i += 1\n        else:\n            j += 1\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"0c7460918f6e4529a4ed6adc86329a6d","initial_source":"def intersect_intervals(left, right):\n    result = []\n    for a, b in left:\n        for c, d in right:\n            if max(a, c) <= min(b, d):\n                result.append([max(a, c), min(b, d)])\n    return result\n","known_tokens":405,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals","tokens":405,"tokens_complete":true}],"seed":43,"task_id":"interval-intersection","task_title":"Intersect half-open availability intervals · seed 43"},{"comparison_id":"interval-subtract@seed=43","runs":[{"cost_usd":0.00839,"created_at":1790136215.7134764,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,49 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers (start, end)\n+        The original half‑open interval [start, end).\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or extend beyond `interval`.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted list of non‑empty half‑open intervals remaining after\n+        removing all blackout portions from `interval`.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that actually intersect the interval\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts within the interval\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for a, b in merged:\n+        if cur < a:               # portion before this blackout\n+            result.append([cur, a])\n+        cur = max(cur, b)         # move cursor past the blackout\n+    if cur < end:                # any tail after last blackout\n+        result.append([cur, end])\n+\n+    return result\n","elapsed_s":4.4,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:35.713482+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:36.264279+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.550538,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:36.264445+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:36.264453+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:39.210058+00:00","data":{"completion_tokens":492,"cost_usd":0.00839,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,49 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers (start, end)\n+        The original half‑open interval [start, end).\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or extend beyond `interval`.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted list of non‑empty half‑open intervals remaining after\n+        removing all blackout portions from `interval`.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that actually intersect the interval\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort and merge overlapping/touching blackouts within the interval\n+    relevant.sort()\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cur = start\n+    for a, b in merged:\n+        if cur < a:               # portion before this blackout\n+            result.append([cur, a])\n+        cur = max(cur, b)         # move cursor past the blackout\n+    if cur < end:                # any tail after last blackout\n+        result.append([cur, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":2.9415994030423462,"request_id":"chatcmpl-694ad073b4684c1eacb43aafea8ed336","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:39.661903+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.45141,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:40.113514+00:00","data":{"elapsed_s":0.451041,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:40.113675+00:00","data":{"cost_usd":0.00839,"solved":true,"steps":1,"tokens":839},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract blackout intervals from a given half‑open interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers (start, end)\n        The original half‑open interval [start, end).\n    blackouts : iterable of (a, b)\n        Blackout intervals, each half‑open [a, b). They may overlap,\n        touch, or extend beyond `interval`.\n\n    Returns\n    -------\n    list of [s, e]\n        Sorted list of non‑empty half‑open intervals remaining after\n        removing all blackout portions from `interval`.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that actually intersect the interval\n    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n                if a < end and b > start]\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort and merge overlapping/touching blackouts within the interval\n    relevant.sort()\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for a, b in relevant[1:]:\n        if a <= cur_end:          # overlap or touch\n            cur_end = max(cur_end, b)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = a, b\n    merged.append((cur_start, cur_end))\n\n    # Subtract merged blackouts from the original interval\n    result = []\n    cur = start\n    for a, b in merged:\n        if cur < a:               # portion before this blackout\n            result.append([cur, a])\n        cur = max(cur, b)         # move cursor past the blackout\n    if cur < end:                # any tail after last blackout\n        result.append([cur, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"9549201390a04a0590234a9b52e85ce3","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":839,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":839,"tokens_complete":true},{"cost_usd":0.00393,"created_at":1790136220.1159468,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":3.737,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:40.115955+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:40.617252+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.500881,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:40.617324+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:40.617333+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:42.797636+00:00","data":{"completion_tokens":108,"cost_usd":0.00393,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":2.1749911522492766,"request_id":"chatcmpl-dca538cb3ab844549db561f462d9266a","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:43.349820+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.551589,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:43.852917+00:00","data":{"elapsed_s":0.502645,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:43.853118+00:00","data":{"cost_usd":0.00393,"solved":true,"steps":1,"tokens":393},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if a > current_start:\n            result.append([current_start, min(a, end)])\n        current_start = max(b, current_start)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"6933cf1234c7457990c576730178e7e9","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":393,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":393,"tokens_complete":true},{"cost_usd":0.00848,"created_at":1790136223.854811,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,51 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers (start, end)\n+        The original reservation interval, half‑open [start, end).\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the reservation interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted non‑empty portions of the original interval that remain\n+        after removing all blackout periods.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start\n+    relevant.sort(key=lambda x: x[0])\n+\n+    # Merge overlapping or touching blackouts\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:            # there is a gap before this blackout\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)   # move cursor past the blackout\n+    if cursor < end:              # any tail after the last blackout\n+        result.append([cursor, end])\n+\n+    return result\n","elapsed_s":4.449,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:43.854817+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:44.406678+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.551525,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:44.406711+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:44.406719+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:47.400612+00:00","data":{"completion_tokens":501,"cost_usd":0.00848,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,51 @@\n def subtract_intervals(interval, blackouts):\n+    \"\"\"\n+    Subtract blackout intervals from a given half‑open interval.\n+\n+    Parameters\n+    ----------\n+    interval : tuple or list of two numbers (start, end)\n+        The original reservation interval, half‑open [start, end).\n+    blackouts : iterable of (a, b)\n+        Blackout intervals, each half‑open [a, b). They may overlap,\n+        touch, or lie completely outside the reservation interval.\n+\n+    Returns\n+    -------\n+    list of [s, e]\n+        Sorted non‑empty portions of the original interval that remain\n+        after removing all blackout periods.\n+    \"\"\"\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    # Filter blackouts that intersect the interval at all\n+    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n+                if a < end and b > start]\n+\n+    if not relevant:\n+        return [[start, end]]\n+\n+    # Sort by start\n+    relevant.sort(key=lambda x: x[0])\n+\n+    # Merge overlapping or touching blackouts\n+    merged = []\n+    cur_start, cur_end = relevant[0]\n+    for a, b in relevant[1:]:\n+        if a <= cur_end:          # overlap or touch\n+            cur_end = max(cur_end, b)\n+        else:\n+            merged.append((cur_start, cur_end))\n+            cur_start, cur_end = a, b\n+    merged.append((cur_start, cur_end))\n+\n+    # Subtract merged blackouts from the original interval\n+    result = []\n+    cursor = start\n+    for a, b in merged:\n+        if cursor < a:            # there is a gap before this blackout\n+            result.append([cursor, a])\n+        cursor = max(cursor, b)   # move cursor past the blackout\n+    if cursor < end:              # any tail after the last blackout\n+        result.append([cursor, end])\n+\n+    return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":347,"provider_elapsed_s":2.9866876318119466,"request_id":"chatcmpl-36f21f866f0d44ceb14dd1115f90ab18","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:47.852210+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.451222,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:48.303663+00:00","data":{"elapsed_s":0.45105,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:48.303815+00:00","data":{"cost_usd":0.00848,"solved":true,"steps":1,"tokens":848},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    \"\"\"\n    Subtract blackout intervals from a given half‑open interval.\n\n    Parameters\n    ----------\n    interval : tuple or list of two numbers (start, end)\n        The original reservation interval, half‑open [start, end).\n    blackouts : iterable of (a, b)\n        Blackout intervals, each half‑open [a, b). They may overlap,\n        touch, or lie completely outside the reservation interval.\n\n    Returns\n    -------\n    list of [s, e]\n        Sorted non‑empty portions of the original interval that remain\n        after removing all blackout periods.\n    \"\"\"\n    start, end = interval\n    # Filter blackouts that intersect the interval at all\n    relevant = [(max(a, start), min(b, end)) for a, b in blackouts\n                if a < end and b > start]\n\n    if not relevant:\n        return [[start, end]]\n\n    # Sort by start\n    relevant.sort(key=lambda x: x[0])\n\n    # Merge overlapping or touching blackouts\n    merged = []\n    cur_start, cur_end = relevant[0]\n    for a, b in relevant[1:]:\n        if a <= cur_end:          # overlap or touch\n            cur_end = max(cur_end, b)\n        else:\n            merged.append((cur_start, cur_end))\n            cur_start, cur_end = a, b\n    merged.append((cur_start, cur_end))\n\n    # Subtract merged blackouts from the original interval\n    result = []\n    cursor = start\n    for a, b in merged:\n        if cursor < a:            # there is a gap before this blackout\n            result.append([cursor, a])\n        cursor = max(cursor, b)   # move cursor past the blackout\n    if cursor < end:              # any tail after the last blackout\n        result.append([cursor, end])\n\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"1d51030dd17e4bef8a334be8b85c1c59","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":848,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":848,"tokens_complete":true},{"cost_usd":0.00393,"created_at":1790136228.305531,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","elapsed_s":3.688,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:48.305539+00:00","data":{"family":"intervals","filename":"solution.py","task_id":"interval-subtract"},"kind":"inspect","message":"Subtract blackout windows from a reservation","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:48.756893+00:00","data":{"cases":[{"actual":[],"error":null,"name":"middle gap","passed":false},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.450827,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:48.756943+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:48.756956+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:51.037872+00:00","data":{"completion_tokens":108,"cost_usd":0.00393,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,6 +1,15 @@\n def subtract_intervals(interval, blackouts):\n     start, end = interval\n-    for a, b in blackouts:\n-        if a < end and b > start:\n-            return []\n-    return [[start, end]]\n+    result = []\n+    current_start = start\n+    for a, b in sorted(blackouts):\n+        if a >= end:\n+            break\n+        if b <= start:\n+            continue\n+        if a > current_start:\n+            result.append([current_start, min(a, end)])\n+        current_start = max(b, current_start)\n+    if current_start < end:\n+        result.append([current_start, end])\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":285,"provider_elapsed_s":2.275783614721149,"request_id":"chatcmpl-7bd4fb6585374c37a76f8ef8ed4f6137","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:51.541152+00:00","data":{"cases":[{"actual":[[0,3],[6,10]],"error":null,"name":"middle gap","passed":true},{"actual":[[2,5]],"error":null,"name":"outside","passed":true}],"elapsed_s":0.502815,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:51.993212+00:00","data":{"elapsed_s":0.451692,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:51.993301+00:00","data":{"cost_usd":0.00393,"solved":true,"steps":1,"tokens":393},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"middle gap","passed":true},{"error":null,"name":"outside","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"intervals","final_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    result = []\n    current_start = start\n    for a, b in sorted(blackouts):\n        if a >= end:\n            break\n        if b <= start:\n            continue\n        if a > current_start:\n            result.append([current_start, min(a, end)])\n        current_start = max(b, current_start)\n    if current_start < end:\n        result.append([current_start, end])\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"948a52b7e7a346cb8703d8b1d235daaf","initial_source":"def subtract_intervals(interval, blackouts):\n    start, end = interval\n    for a, b in blackouts:\n        if a < end and b > start:\n            return []\n    return [[start, end]]\n","known_tokens":393,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation","tokens":393,"tokens_complete":true}],"seed":43,"task_id":"interval-subtract","task_title":"Subtract blackout windows from a reservation · seed 43"},{"comparison_id":"codec-rle-encode@seed=43","runs":[{"cost_usd":0.00383,"created_at":1790136231.9952593,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":3.303,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:51.995267+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:52.495943+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.500305,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:52.496026+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:52.496034+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:54.296448+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.7960370150394738,"request_id":"chatcmpl-9e42ce7345634280ba0d8f0a6ac9bc5b","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:54.797227+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.500275,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:55.298220+00:00","data":{"elapsed_s":0.50057,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:55.298335+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"730707f2c4b24c66a160e5a319c27d9e","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true},{"cost_usd":0.00558,"created_at":1790136235.3000097,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each consecutive run.\n+    An empty input string returns an empty list.\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","elapsed_s":2.933,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:55.300024+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:55.800608+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.500106,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:55.800644+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:55.800652+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:03:57.280923+00:00","data":{"completion_tokens":201,"cost_usd":0.00558,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each consecutive run.\n+    An empty input string returns an empty list.\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":357,"provider_elapsed_s":1.4753809380345047,"request_id":"chatcmpl-4b99c80b94f94904b29a8f6b70c7369b","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:03:57.781774+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.500244,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:03:58.232863+00:00","data":{"elapsed_s":0.450539,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:03:58.233033+00:00","data":{"cost_usd":0.00558,"solved":true,"steps":1,"tokens":558},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    \"\"\"\n    Encode a string using run-length encoding.\n\n    Returns a list of [character, count] pairs for each consecutive run.\n    An empty input string returns an empty list.\n    \"\"\"\n    result = []\n    previous = None\n    count = 0\n\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n\n    # Append the final run if any\n    if count:\n        result.append([previous, count])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"25be812345674dc1b35a3b993398abea","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":558,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":558,"tokens_complete":true},{"cost_usd":0.00624,"created_at":1790136238.2346253,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","elapsed_s":4.319,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:03:58.234630+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:03:58.684853+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.449865,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:03:58.684930+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:03:58.684938+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:00.489463+00:00","data":{"completion_tokens":267,"cost_usd":0.00624,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,7 +1,14 @@\n def rle_encode(text):\n+    \"\"\"\n+    Encode a string using run-length encoding.\n+\n+    Returns a list of [character, count] pairs for each maximal\n+    substring of identical characters. An empty input returns [].\n+    \"\"\"\n     result = []\n     previous = None\n     count = 0\n+\n     for char in text:\n         if char != previous:\n             if count:\n@@ -10,4 +17,9 @@\n             count = 1\n         else:\n             count += 1\n+\n+    # Append the final run if any\n+    if count:\n+        result.append([previous, count])\n+\n     return result\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":357,"provider_elapsed_s":1.8003390622325242,"request_id":"chatcmpl-41ec70d702a94b9d8132f59f2d4af948","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:01.335098+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.844901,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:02.553645+00:00","data":{"elapsed_s":1.217794,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:02.553870+00:00","data":{"cost_usd":0.00624,"solved":true,"steps":1,"tokens":624},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    \"\"\"\n    Encode a string using run-length encoding.\n\n    Returns a list of [character, count] pairs for each maximal\n    substring of identical characters. An empty input returns [].\n    \"\"\"\n    result = []\n    previous = None\n    count = 0\n\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n\n    # Append the final run if any\n    if count:\n        result.append([previous, count])\n\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"17cc0e7754c8467a807f6834fae9686e","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":624,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":624,"tokens_complete":true},{"cost_usd":0.00383,"created_at":1790136242.5562785,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","elapsed_s":3.353,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:02.556288+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-encode"},"kind":"inspect","message":"Encode the final run in run-length compression","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:03.109935+00:00","data":{"cases":[{"actual":[["a",3]],"error":null,"name":"last run","passed":false},{"actual":[],"error":null,"name":"single","passed":false}],"elapsed_s":0.553294,"passed":0,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"0/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:03.110009+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":0,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:03.110019+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:04.906534+00:00","data":{"completion_tokens":86,"cost_usd":0.00383,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -10,4 +10,6 @@\n             count = 1\n         else:\n             count += 1\n+    if count:\n+        result.append([previous, count])\n     return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":297,"provider_elapsed_s":1.789466034155339,"request_id":"chatcmpl-cc043c9a5d6349158875ace64bb651fa","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:05.407546+00:00","data":{"cases":[{"actual":[["a",3],["b",2]],"error":null,"name":"last run","passed":true},{"actual":[["x",1]],"error":null,"name":"single","passed":true}],"elapsed_s":0.500597,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:05.908854+00:00","data":{"elapsed_s":0.500822,"note":"Held-out cases were not supplied to the language model.","passed":3,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":3},"kind":"grade","message":"3/3 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:05.908940+00:00","data":{"cost_usd":0.00383,"solved":true,"steps":1,"tokens":383},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":3,"total":3},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"last run","passed":true},{"error":null,"name":"single","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    if count:\n        result.append([previous, count])\n    return result\n","heldout_passed":3,"heldout_total":3,"id":"df6955e1546d4f108a3db78948a7c52f","initial_source":"def rle_encode(text):\n    result = []\n    previous = None\n    count = 0\n    for char in text:\n        if char != previous:\n            if count:\n                result.append([previous, count])\n            previous = char\n            count = 1\n        else:\n            count += 1\n    return result\n","known_tokens":383,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression","tokens":383,"tokens_complete":true}],"seed":43,"task_id":"codec-rle-encode","task_title":"Encode the final run in run-length compression · seed 43"},{"comparison_id":"codec-rle-decode@seed=43","runs":[{"cost_usd":0.00748,"created_at":1790136245.9105697,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,52 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string and a non‑negative\n+        integer count. Booleans are not accepted as integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string, which will contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed (wrong types, wrong length, negative count,\n+        boolean count) or if the resulting string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit.\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Ensure pair is iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length 1\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(\"Count must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(\"Count cannot be negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Check length limit before appending\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed 10000 characters\")\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","elapsed_s":3.911,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:05.910576+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:06.411184+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.500188,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:06.411216+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:06.411226+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:08.968938+00:00","data":{"completion_tokens":418,"cost_usd":0.00748,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,52 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable of (char, count)\n+        Each pair must consist of a single-character string and a non‑negative\n+        integer count. Booleans are not accepted as integers.\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string, which will contain at most 10 000 characters.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed (wrong types, wrong length, negative count,\n+        boolean count) or if the resulting string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and build result incrementally to enforce length limit.\n+    result_parts = []\n+    total_len = 0\n+    for pair in runs:\n+        # Ensure pair is iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Validate character\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length 1\")\n+\n+        # Validate count: must be int, not bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(\"Count must be a non‑negative integer\")\n+        if count < 0:\n+            raise ValueError(\"Count cannot be negative\")\n+\n+        # Zero count contributes nothing\n+        if count == 0:\n+            continue\n+\n+        # Check length limit before appending\n+        if total_len + count > 10000:\n+            raise ValueError(\"Decoded string would exceed 10000 characters\")\n+        result_parts.append(char * count)\n+        total_len += count\n+\n+    return ''.join(result_parts)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":2.552722821943462,"request_id":"chatcmpl-c83d2e851cba4197b85b55d7c62d0686","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:09.419938+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450607,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:09.820910+00:00","data":{"elapsed_s":0.400416,"note":"Held-out cases were not supplied to the language model.","passed":5,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"5/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:09.821086+00:00","data":{"cost_usd":0.00748,"solved":true,"steps":1,"tokens":748},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":5,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run-length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable of (char, count)\n        Each pair must consist of a single-character string and a non‑negative\n        integer count. Booleans are not accepted as integers.\n\n    Returns\n    -------\n    str\n        The decoded string, which will contain at most 10 000 characters.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed (wrong types, wrong length, negative count,\n        boolean count) or if the resulting string would exceed 10 000 characters.\n    \"\"\"\n    # Validate input and build result incrementally to enforce length limit.\n    result_parts = []\n    total_len = 0\n    for pair in runs:\n        # Ensure pair is iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(\"Each run must be a pair of (character, count)\")\n\n        # Validate character\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(\"Character must be a string of length 1\")\n\n        # Validate count: must be int, not bool, and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(\"Count must be a non‑negative integer\")\n        if count < 0:\n            raise ValueError(\"Count cannot be negative\")\n\n        # Zero count contributes nothing\n        if count == 0:\n            continue\n\n        # Check length limit before appending\n        if total_len + count > 10000:\n            raise ValueError(\"Decoded string would exceed 10000 characters\")\n        result_parts.append(char * count)\n        total_len += count\n\n    return ''.join(result_parts)\n","heldout_passed":5,"heldout_total":5,"id":"2627cd97fe3e448688560684badd0404","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":748,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":748,"tokens_complete":true},{"cost_usd":0.00384,"created_at":1790136249.8226273,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length one\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(\"Count must be a nonnegative integer\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":3.504,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:09.822637+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:10.272160+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.449156,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:10.272204+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:10.272211+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:12.374804+00:00","data":{"completion_tokens":118,"cost_usd":0.00384,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length one\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(\"Count must be a nonnegative integer\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":2.098758232779801,"request_id":"chatcmpl-486b940507d1473e933350a787688845","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:12.825622+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450385,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:13.326359+00:00","data":{"elapsed_s":0.50026,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:13.326461+00:00","data":{"cost_usd":0.00384,"solved":false,"steps":1,"tokens":384},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(\"Character must be a string of length one\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(\"Count must be a nonnegative integer\")\n        result.extend(char * count)\n    if len(result) > 10000:\n        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"d27c3e993bb44d5a864fe88ea874e220","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":384,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"fixed","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":384,"tokens_complete":true},{"cost_usd":0.00384,"created_at":1790136253.328586,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length one\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(\"Count must be a nonnegative integer\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","elapsed_s":3.452,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:13.328602+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:13.779611+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.450523,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:13.779672+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:13.779679+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:15.880149+00:00","data":{"completion_tokens":118,"cost_usd":0.00384,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,11 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    result = []\n+    for char, count in runs:\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a string of length one\")\n+        if not isinstance(count, int) or count < 0:\n+            raise ValueError(\"Count must be a nonnegative integer\")\n+        result.extend(char * count)\n+    if len(result) > 10000:\n+        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n+    return ''.join(result)\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":266,"provider_elapsed_s":2.0905283060856164,"request_id":"chatcmpl-5ecd2634b35e40308eea0ddd35569b4d","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:16.330633+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450122,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:16.780927+00:00","data":{"elapsed_s":0.449906,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"4/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:16.781046+00:00","data":{"cost_usd":0.00384,"solved":false,"steps":1,"tokens":384},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    result = []\n    for char, count in runs:\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(\"Character must be a string of length one\")\n        if not isinstance(count, int) or count < 0:\n            raise ValueError(\"Count must be a nonnegative integer\")\n        result.extend(char * count)\n    if len(result) > 10000:\n        raise ValueError(\"Decoded string exceeds maximum length of 10000 characters\")\n    return ''.join(result)\n","heldout_passed":4,"heldout_total":5,"id":"1cb087da704648249ea41a54149b69c9","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":384,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":false,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":384,"tokens_complete":true},{"cost_usd":0.00813,"created_at":1790136256.782817,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,51 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable\n+        An iterable of pairs where the first element is a single-character string\n+        and the second element is a non‑negative integer (booleans are not\n+        accepted).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed, if a count is negative, if a character is not\n+        a single-character string, if a count is a boolean, or if the resulting\n+        string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and compute total length first to enforce the 10k limit\n+    total_len = 0\n+    validated = []  # store (char, count) after validation\n+\n+    for pair in runs:\n+        # Each pair must be an iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Character must be a string of length 1\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a single-character string\")\n+\n+        # Count must be an int, not a bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(\"Count must be an integer\")\n+        if count < 0:\n+            raise ValueError(\"Count must be non‑negative\")\n+\n+        total_len += count\n+        if total_len > 10000:\n+            raise ValueError(\"Decoded output exceeds maximum allowed length of 10000\")\n+        validated.append((char, count))\n+\n+    # Build the result, ignoring zero counts automatically\n+    return ''.join(char * count for char, count in validated)\n","elapsed_s":4.397,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:16.782831+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-rle-decode"},"kind":"inspect","message":"Reject malformed run-length payloads","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:17.232823+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":"","error":null,"name":"negative","passed":false}],"elapsed_s":0.449546,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:17.232896+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:17.232903+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:20.226423+00:00","data":{"completion_tokens":483,"cost_usd":0.00813,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,51 @@\n def rle_decode(runs):\n-    return ''.join(char * count for char, count in runs)\n+    \"\"\"\n+    Decode a run-length encoded list of [character, count] pairs.\n+\n+    Parameters\n+    ----------\n+    runs : iterable\n+        An iterable of pairs where the first element is a single-character string\n+        and the second element is a non‑negative integer (booleans are not\n+        accepted).\n+\n+    Returns\n+    -------\n+    str\n+        The decoded string.\n+\n+    Raises\n+    ------\n+    ValueError\n+        If any pair is malformed, if a count is negative, if a character is not\n+        a single-character string, if a count is a boolean, or if the resulting\n+        string would exceed 10 000 characters.\n+    \"\"\"\n+    # Validate input and compute total length first to enforce the 10k limit\n+    total_len = 0\n+    validated = []  # store (char, count) after validation\n+\n+    for pair in runs:\n+        # Each pair must be an iterable of length 2\n+        try:\n+            char, count = pair\n+        except Exception:\n+            raise ValueError(\"Each run must be a pair of (character, count)\")\n+\n+        # Character must be a string of length 1\n+        if not isinstance(char, str) or len(char) != 1:\n+            raise ValueError(\"Character must be a single-character string\")\n+\n+        # Count must be an int, not a bool, and non‑negative\n+        if isinstance(count, bool) or not isinstance(count, int):\n+            raise ValueError(\"Count must be an integer\")\n+        if count < 0:\n+            raise ValueError(\"Count must be non‑negative\")\n+\n+        total_len += count\n+        if total_len > 10000:\n+            raise ValueError(\"Decoded output exceeds maximum allowed length of 10000\")\n+        validated.append((char, count))\n+\n+    # Build the result, ignoring zero counts automatically\n+    return ''.join(char * count for char, count in validated)\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":330,"provider_elapsed_s":2.9888891261070967,"request_id":"chatcmpl-46e88b31033a41edb242b101938d8fd2","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:20.677266+00:00","data":{"cases":[{"actual":"aab","error":null,"name":"valid","passed":true},{"actual":null,"error":"ValueError","name":"negative","passed":true}],"elapsed_s":0.450455,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:21.179267+00:00","data":{"elapsed_s":0.501514,"note":"Held-out cases were not supplied to the language model.","passed":5,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":5},"kind":"grade","message":"5/5 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:21.179414+00:00","data":{"cost_usd":0.00813,"solved":true,"steps":1,"tokens":813},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":5,"total":5},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"valid","passed":true},{"error":"ValueError","name":"negative","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def rle_decode(runs):\n    \"\"\"\n    Decode a run-length encoded list of [character, count] pairs.\n\n    Parameters\n    ----------\n    runs : iterable\n        An iterable of pairs where the first element is a single-character string\n        and the second element is a non‑negative integer (booleans are not\n        accepted).\n\n    Returns\n    -------\n    str\n        The decoded string.\n\n    Raises\n    ------\n    ValueError\n        If any pair is malformed, if a count is negative, if a character is not\n        a single-character string, if a count is a boolean, or if the resulting\n        string would exceed 10 000 characters.\n    \"\"\"\n    # Validate input and compute total length first to enforce the 10k limit\n    total_len = 0\n    validated = []  # store (char, count) after validation\n\n    for pair in runs:\n        # Each pair must be an iterable of length 2\n        try:\n            char, count = pair\n        except Exception:\n            raise ValueError(\"Each run must be a pair of (character, count)\")\n\n        # Character must be a string of length 1\n        if not isinstance(char, str) or len(char) != 1:\n            raise ValueError(\"Character must be a single-character string\")\n\n        # Count must be an int, not a bool, and non‑negative\n        if isinstance(count, bool) or not isinstance(count, int):\n            raise ValueError(\"Count must be an integer\")\n        if count < 0:\n            raise ValueError(\"Count must be non‑negative\")\n\n        total_len += count\n        if total_len > 10000:\n            raise ValueError(\"Decoded output exceeds maximum allowed length of 10000\")\n        validated.append((char, count))\n\n    # Build the result, ignoring zero counts automatically\n    return ''.join(char * count for char, count in validated)\n","heldout_passed":5,"heldout_total":5,"id":"e779066fc0ef46e3b25445e138361882","initial_source":"def rle_decode(runs):\n    return ''.join(char * count for char, count in runs)\n","known_tokens":813,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads","tokens":813,"tokens_complete":true}],"seed":43,"task_id":"codec-rle-decode","task_title":"Reject malformed run-length payloads · seed 43"},{"comparison_id":"codec-escaped-fields@seed=43","runs":[{"cost_usd":0.00595,"created_at":1790136261.181377,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    length = len(text)\n+\n+    while i < length:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= length:\n+                raise ValueError(\"Trailing backslash with no character to escape\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Field separator\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","elapsed_s":3.222,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:21.181427+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:21.632015+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.450022,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:21.632091+00:00","data":{"action":"deliberate","policy":"adaptive","selection_source":"learned_q","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:21.632099+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:04:23.501771+00:00","data":{"completion_tokens":276,"cost_usd":0.00595,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    length = len(text)\n+\n+    while i < length:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= length:\n+                raise ValueError(\"Trailing backslash with no character to escape\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Field separator\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":1.8650452164001763,"request_id":"chatcmpl-e6616f0e72d14e01b7ae6fbb577ae184","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:04:23.952689+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.45054,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:04:24.403238+00:00","data":{"elapsed_s":0.450092,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:04:24.403334+00:00","data":{"cost_usd":0.00595,"solved":true,"steps":1,"tokens":595},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n\n    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n    \"\"\"\n    fields = []\n    current = []\n    i = 0\n    length = len(text)\n\n    while i < length:\n        ch = text[i]\n        if ch == '\\\\':\n            # Escape next character; must exist\n            i += 1\n            if i >= length:\n                raise ValueError(\"Trailing backslash with no character to escape\")\n            # Append escaped character literally\n            current.append(text[i])\n        elif ch == '|':\n            # Field separator\n            fields.append(''.join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n\n    # Append the final field\n    fields.append(''.join(current))\n    return fields\n","heldout_passed":4,"heldout_total":4,"id":"99653d4c77234ab2b29d8bead1a5d4b4","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":595,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"adaptive","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":595,"tokens_complete":true},{"cost_usd":0.02984,"created_at":1790136264.4049392,"diff":"","elapsed_s":160.641,"error":"The model request could not be completed; its accounted cost is retained.","evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:04:24.404944+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:04:24.905365+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.500034,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:04:24.905426+00:00","data":{"action":"fast","policy":"fixed","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:04:24.905437+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:07:05.046304+00:00","data":{"reserved_cost_usd":0.02984},"kind":"error","message":"The model request could not be completed; its accounted cost is retained.","seq":5,"title":"Provider request failed"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":0,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":false},{"error":null,"name":"empty fields","passed":true}],"passed":1,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    return text.split('|')\n","heldout_passed":0,"heldout_total":4,"id":"6044ee9fe6504f258298dcdffee57026","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":0,"mode":"recorded","model_ids":[],"policy":"fixed","public_passed":1,"public_total":2,"solved":false,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"failed","steps":1,"stop_reason":"provider_error","study_seed":43,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":null,"tokens_complete":false},{"cost_usd":0.00387,"created_at":1790136425.0479455,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,20 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    i = 0\n+    while i < len(text):\n+        if text[i] == '\\\\':\n+            if i + 1 < len(text):\n+                current.append(text[i + 1])\n+                i += 2\n+            else:\n+                raise ValueError(\"Trailing backslash\")\n+        elif text[i] == '|':\n+            result.append(''.join(current))\n+            current = []\n+            i += 1\n+        else:\n+            current.append(text[i])\n+            i += 1\n+    result.append(''.join(current))\n+    return result\n","elapsed_s":14.977,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:07:05.047951+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:07:05.497917+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.449577,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:07:05.498009+00:00","data":{"action":"fast","policy":"heuristic","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"fast","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:07:05.498019+00:00","data":{"action":"fast","attempt":1},"kind":"model","message":"fast","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:07:19.072538+00:00","data":{"completion_tokens":130,"cost_usd":0.00387,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,20 @@\n def split_escaped(text):\n-    return text.split('|')\n+    result = []\n+    current = []\n+    i = 0\n+    while i < len(text):\n+        if text[i] == '\\\\':\n+            if i + 1 < len(text):\n+                current.append(text[i + 1])\n+                i += 2\n+            else:\n+                raise ValueError(\"Trailing backslash\")\n+        elif text[i] == '|':\n+            result.append(''.join(current))\n+            current = []\n+            i += 1\n+        else:\n+            current.append(text[i])\n+            i += 1\n+    result.append(''.join(current))\n+    return result\n","finish_reason":"stop","model":"ibm-granite/granite-4.0-h-small","prompt_tokens":257,"provider_elapsed_s":13.568998521193862,"request_id":"chatcmpl-d6eab9baec134686a968cf0abc92d0d2","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:07:19.573906+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.500908,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:07:20.024759+00:00","data":{"elapsed_s":0.450316,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:07:20.024861+00:00","data":{"cost_usd":0.00387,"solved":true,"steps":1,"tokens":387},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    result = []\n    current = []\n    i = 0\n    while i < len(text):\n        if text[i] == '\\\\':\n            if i + 1 < len(text):\n                current.append(text[i + 1])\n                i += 2\n            else:\n                raise ValueError(\"Trailing backslash\")\n        elif text[i] == '|':\n            result.append(''.join(current))\n            current = []\n            i += 1\n        else:\n            current.append(text[i])\n            i += 1\n    result.append(''.join(current))\n    return result\n","heldout_passed":4,"heldout_total":4,"id":"246ab95a9a304b8b87c43fb0e847bd93","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":387,"mode":"recorded","model_ids":["ibm-granite/granite-4.0-h-small"],"policy":"heuristic","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":387,"tokens_complete":true},{"cost_usd":0.00592,"created_at":1790136440.0263085,"diff":"--- a/solution.py\n+++ b/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    length = len(text)\n+\n+    while i < length:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= length:\n+                raise ValueError(\"Trailing backslash in input\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Field separator\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","elapsed_s":3.276,"error":null,"evaluation_mode":"prospective","events":[{"at":"2026-09-23T04:07:20.026314+00:00","data":{"family":"codecs","filename":"solution.py","task_id":"codec-escaped-fields"},"kind":"inspect","message":"Split escaped delimited fields","seq":1,"title":"Inspecting the regression task"},{"at":"2026-09-23T04:07:20.425577+00:00","data":{"cases":[{"actual":["a\\","b","c"],"error":null,"name":"escaped pipe","passed":false},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.398988,"passed":1,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"1/2 visible checks passed","seq":2,"title":"Baseline tests completed"},{"at":"2026-09-23T04:07:20.425638+00:00","data":{"action":"deliberate","policy":"deliberate","selection_source":"baseline","state":{"attempts":0,"cost_usd":0.0,"improvement":0,"last_action":"start","max_cost_usd":0.5,"max_steps":3,"public_passed":1,"public_total":2,"replan_count":0}},"kind":"decision","message":"deliberate","seq":3,"title":"Controller decision"},{"at":"2026-09-23T04:07:20.425644+00:00","data":{"action":"deliberate","attempt":1},"kind":"model","message":"deliberate","seq":4,"title":"Requesting a repair"},{"at":"2026-09-23T04:07:22.401060+00:00","data":{"completion_tokens":273,"cost_usd":0.00592,"diff":"--- before/solution.py\n+++ after/solution.py\n@@ -1,2 +1,32 @@\n def split_escaped(text):\n-    return text.split('|')\n+    \"\"\"\n+    Split a string on unescaped '|' characters.\n+\n+    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n+    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n+    \"\"\"\n+    fields = []\n+    current = []\n+    i = 0\n+    length = len(text)\n+\n+    while i < length:\n+        ch = text[i]\n+        if ch == '\\\\':\n+            # Escape next character; must exist\n+            i += 1\n+            if i >= length:\n+                raise ValueError(\"Trailing backslash in input\")\n+            # Append escaped character literally\n+            current.append(text[i])\n+        elif ch == '|':\n+            # Field separator\n+            fields.append(''.join(current))\n+            current = []\n+        else:\n+            current.append(ch)\n+        i += 1\n+\n+    # Append the final field\n+    fields.append(''.join(current))\n+    return fields\n","finish_reason":"stop","model":"openai/gpt-oss-120b","prompt_tokens":319,"provider_elapsed_s":1.9714895971119404,"request_id":"chatcmpl-12355966ddcc4137903119801bf9de27","seed_requested":44},"kind":"patch","message":"Generated a replacement module for the supplied regression task.","seq":5,"title":"Applied model-generated edit"},{"at":"2026-09-23T04:07:22.851733+00:00","data":{"cases":[{"actual":["a|b","c"],"error":null,"name":"escaped pipe","passed":true},{"actual":["","a","",""],"error":null,"name":"empty fields","passed":true}],"elapsed_s":0.450343,"passed":2,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":2},"kind":"tests","message":"2/2 checks passed","seq":6,"title":"Visible tests completed"},{"at":"2026-09-23T04:07:23.302610+00:00","data":{"elapsed_s":0.450483,"note":"Held-out cases were not supplied to the language model.","passed":4,"security":{"backend":"docker","capabilities":[],"cpu_limit":0.5,"expected_outputs_in_container":false,"host_mounts":false,"memory_mb":128,"network":"none","non_root":true,"output_limit_bytes":65536,"pids_limit":32,"read_only":true,"timeout_s":8.0},"total":4},"kind":"grade","message":"4/4 held-out checks passed","seq":7,"title":"Held-out checks completed"},{"at":"2026-09-23T04:07:23.302703+00:00","data":{"cost_usd":0.00592,"solved":true,"steps":1,"tokens":592},"kind":"complete","message":"visible_tests_pass","seq":8,"title":"Run finished"}],"evidence":{"cost_basis":"conservative provider token-rate estimate, not an invoice","grading":"visible and held-out checks; finite coverage, not proof of correctness","heldout":{"passed":4,"total":4},"model_weights":"frozen hosted models; controller training is separate","provider_determinism_guaranteed":false,"public":{"cases":[{"error":null,"name":"escaped pipe","passed":true},{"error":null,"name":"empty fields","passed":true}],"passed":2,"total":2},"seed_requested":43,"task_origin":"authored regression task"},"family":"codecs","final_source":"def split_escaped(text):\n    \"\"\"\n    Split a string on unescaped '|' characters.\n\n    Backslash escapes the next character (including '|' and '\\\\') and is removed.\n    Empty fields are preserved. A trailing solitary backslash raises ValueError.\n    \"\"\"\n    fields = []\n    current = []\n    i = 0\n    length = len(text)\n\n    while i < length:\n        ch = text[i]\n        if ch == '\\\\':\n            # Escape next character; must exist\n            i += 1\n            if i >= length:\n                raise ValueError(\"Trailing backslash in input\")\n            # Append escaped character literally\n            current.append(text[i])\n        elif ch == '|':\n            # Field separator\n            fields.append(''.join(current))\n            current = []\n        else:\n            current.append(ch)\n        i += 1\n\n    # Append the final field\n    fields.append(''.join(current))\n    return fields\n","heldout_passed":4,"heldout_total":4,"id":"0473dc7bd3514cf6b08f2aacea4ba1e7","initial_source":"def split_escaped(text):\n    return text.split('|')\n","known_tokens":592,"mode":"recorded","model_ids":["openai/gpt-oss-120b"],"policy":"deliberate","public_passed":2,"public_total":2,"solved":true,"source_manifest_sha256":"35ad1e539c642f65d755705237706532b67f5ba2f56b7b8456cad932ec34045b","split":"validation","status":"completed","steps":1,"stop_reason":"visible_tests_pass","study_seed":43,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields","tokens":592,"tokens_complete":true}],"seed":43,"task_id":"codec-escaped-fields","task_title":"Split escaped delimited fields · seed 43"}],"planned_unique_task_count":6,"requested_replicates":[17,29,43],"status":"complete","summary":[{"budget_exhausted_episodes":0,"complete_replicates":3,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.005644444444444444,"mean_latency_s":12.380166666666666,"mean_steps":1.0555555555555556,"mean_tokens":null,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation episodes","planned_n":18,"planned_unique_task_count":6,"policy":"fixed","provider_or_execution_failures":1,"replicates_observed":3,"replicates_planned":3,"solve_rate":0.7777777777777778,"solve_rate_wilson_95":null,"solved":14,"tokens_incomplete_episodes":1,"unique_task_count":6},{"budget_exhausted_episodes":0,"complete_replicates":3,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.009032222222222223,"mean_latency_s":4.832277777777778,"mean_steps":1.1666666666666667,"mean_tokens":903.2222222222222,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation episodes","planned_n":18,"planned_unique_task_count":6,"policy":"deliberate","provider_or_execution_failures":0,"replicates_observed":3,"replicates_planned":3,"solve_rate":0.9444444444444444,"solve_rate_wilson_95":null,"solved":17,"tokens_incomplete_episodes":0,"unique_task_count":6},{"budget_exhausted_episodes":0,"complete_replicates":3,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.005423333333333333,"mean_latency_s":4.128833333333334,"mean_steps":1.0,"mean_tokens":null,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation episodes","planned_n":18,"planned_unique_task_count":6,"policy":"heuristic","provider_or_execution_failures":1,"replicates_observed":3,"replicates_planned":3,"solve_rate":0.7777777777777778,"solve_rate_wilson_95":null,"solved":14,"tokens_incomplete_episodes":1,"unique_task_count":6},{"budget_exhausted_episodes":0,"complete_replicates":3,"family_count":2,"interval_note":"Not estimated: repeated task/seed episodes are dependent; only two held-out families were predeclared.","mean_cost_usd":0.006544444444444445,"mean_latency_s":3.7721111111111107,"mean_steps":1.0,"mean_tokens":654.4444444444445,"missing_task_seed_pairs":[],"n":18,"n_unit":"evaluation episodes","planned_n":18,"planned_unique_task_count":6,"policy":"adaptive","provider_or_execution_failures":0,"replicates_observed":3,"replicates_planned":3,"solve_rate":1.0,"solve_rate_wilson_95":null,"solved":18,"tokens_incomplete_episodes":0,"unique_task_count":6}],"unique_task_count":6}}