diff --git a/.github/workflows/eval.yml b/.github/workflows/eval.yml index dc3ef08..84266cc 100644 --- a/.github/workflows/eval.yml +++ b/.github/workflows/eval.yml @@ -59,6 +59,10 @@ on: description: Run trajectory analysis after eval type: boolean default: true + analysis_fixture: + description: Optional checked-in results fixture for analyze-only smoke runs + required: false + default: "" jobs: eval: @@ -67,15 +71,37 @@ jobs: permissions: contents: read steps: + - name: Short-circuit eval for act local loop + if: env.ACT == 'true' + run: | + echo "ACT local loop: skipping eval job, analyze job will use preloaded eval/results" + - uses: actions/checkout@v4 + if: env.ACT != 'true' - uses: actions/setup-node@v4 + if: env.ACT != 'true' && inputs.analysis_fixture == '' with: node-version: 22 cache: npm - - run: npm ci + - if: env.ACT != 'true' && inputs.analysis_fixture == '' + run: npm ci + + - name: Prepare fixture results + if: env.ACT != 'true' && inputs.analysis_fixture != '' + run: | + mkdir -p eval/results + case "${{ inputs.analysis_fixture }}" in + arc-smoke) + cp eval/fixtures/arc-trajectory-analysis-smoke.json eval/results/arc-smoke.json + ;; + *) + echo "Unknown analysis fixture: ${{ inputs.analysis_fixture }}" >&2 + exit 1 + ;; + esac - name: Cache OOLONG eval data - if: inputs.benchmark == 'oolong' + if: env.ACT != 'true' && inputs.analysis_fixture == '' && inputs.benchmark == 'oolong' id: cache-oolong uses: actions/cache@v4 with: @@ -83,11 +109,11 @@ jobs: key: oolong-eval-data-v1 - name: Download dataset - if: inputs.benchmark == 'oolong' && steps.cache-oolong.outputs.cache-hit != 'true' + if: env.ACT != 'true' && inputs.analysis_fixture == '' && inputs.benchmark == 'oolong' && steps.cache-oolong.outputs.cache-hit != 'true' run: npx tsx eval/download.ts --from-release - name: Cache ARC eval data - if: inputs.benchmark == 'arc' || inputs.benchmark == 'arc-compound' + if: env.ACT != 'true' && inputs.analysis_fixture == '' && (inputs.benchmark == 'arc' || inputs.benchmark == 'arc-compound') id: cache-arc uses: actions/cache@v4 with: @@ -95,10 +121,11 @@ jobs: key: arc-eval-data-v1 - name: Download ARC dataset - if: (inputs.benchmark == 'arc' || inputs.benchmark == 'arc-compound') && steps.cache-arc.outputs.cache-hit != 'true' + if: env.ACT != 'true' && inputs.analysis_fixture == '' && (inputs.benchmark == 'arc' || inputs.benchmark == 'arc-compound') && steps.cache-arc.outputs.cache-hit != 'true' run: npx tsx eval/download.ts --dataset arc - name: Run eval + if: env.ACT != 'true' && inputs.analysis_fixture == '' env: OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }} ARC3_API_KEY: ${{ secrets.ARC3_API_KEY }} @@ -135,10 +162,11 @@ jobs: npx tsx eval/run.ts $ARGS - name: Analyze results + if: env.ACT != 'true' && inputs.analysis_fixture == '' run: npx tsx eval/analyze.ts - name: Upload results - if: always() + if: always() && env.ACT != 'true' uses: actions/upload-artifact@v4 with: name: eval-${{ inputs.benchmark }}-${{ github.run_number }} @@ -156,43 +184,66 @@ jobs: steps: - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 22 + + - name: Verify local act inputs + if: env.ACT == 'true' + run: | + test -d eval/results + find eval/results -maxdepth 1 -name '*.json' -print -quit | grep -q . + - name: Download eval results + if: env.ACT != 'true' uses: actions/download-artifact@v4 with: name: eval-${{ inputs.benchmark }}-${{ github.run_number }} path: eval/results/ + - name: Prepare trajectory inputs + run: node eval/prepare-trajectory-analysis.js + - name: Distill trajectories uses: anthropics/claude-code-action@v1 with: anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }} - claude_args: '--allowedTools Bash Write Read Glob Grep Task' + github_token: ${{ env.ACT == 'true' && secrets.GITHUB_TOKEN || github.token }} + claude_args: '--allowedTools Bash,Write,Read,Glob,Grep,Task' + show_full_output: ${{ env.ACT == 'true' && 'true' || 'false' }} prompt: | - You are distilling RLM eval trajectories into annotated documents. + You are distilling prepared RLM eval trajectories into annotated documents. ## Setup - 1. Find the most recent .json file in eval/results/ - 2. Read docs/TRAJECTORY_FORMAT.md — this is the canonical annotation format - 3. Run: mkdir -p eval/trajectory-analysis/trajectories - - ## Step 1: Enumerate all tasks - Read the results JSON and extract every task. For each task, record: - - taskId, answerType, score, iterations count - - Classify outcome: score==1 → "perfect", 0 output ${oH}x${oW} ratio: ${oH/iH}x${oW/iW}`);\n}\nconsole.log(\"Test inputs:\");\nfor (let i = 0; i < test.length; i++) {\n console.log(`Test ${i}: input ${test[i].input.length}x${test[i].input[0].length}`);\n}\n\n// === COLOR INVENTORY ===\nconsole.log(\"\\n=== COLOR INVENTORY ===\");\nfor (let i = 0; i < train.length; i++) {\n const ic = [...new Set(train[i].input.flat())].sort((a,b) => a-b);\n const oc = [...new Set(train[i].output.flat())].sort((a,b) => a-b);\n console.log(`Train ${i}: in=${JSON.stringify(ic)} out=${JSON.stringify(oc)}`);\n}\n\n// === PRINT GRIDS (small ones) ===\nconsole.log(\"\\n=== TRAINING EXAMPLES ===\");\nfor (let i = 0; i < train.length; i++) {\n console.log(`\\nTrain ${i} Input:`);\n for (const row of train[i].input) console.log(row.join(' '));\n console.log(`Train ${i} Output:`);\n for (const row of train[i].output) console.log(row.join(' '));\n}\n\nconsole.log(`\\nTest 0 Input:`);\nfor (const row of test[0].input) console.log(row.join(' '));\n```\n\nIteration 2 of 20. Remaining: 18.\nStatus: exploring\n\n", + "code": [ + "const task = JSON.parse(context);\nconst train = task.train;\nconst test = task.test;\n\n// === DIMENSIONAL ANALYSIS ===\nconsole.log(\"=== DIMENSIONS ===\");\nfor (let i = 0; i < train.length; i++) {\n const [iH, iW] = [train[i].input.length, train[i].input[0].length];\n const [oH, oW] = [train[i].output.length, train[i].output[0].length];\n console.log(`Train ${i}: input ${iH}x${iW} -> output ${oH}x${oW} ratio: ${oH/iH}x${oW/iW}`);\n}\nconsole.log(\"Test inputs:\");\nfor (let i = 0; i < test.length; i++) {\n console.log(`Test ${i}: input ${test[i].input.length}x${test[i].input[0].length}`);\n}\n\n// === COLOR INVENTORY ===\nconsole.log(\"\\n=== COLOR INVENTORY ===\");\nfor (let i = 0; i < train.length; i++) {\n const ic = [...new Set(train[i].input.flat())].sort((a,b) => a-b);\n const oc = [...new Set(train[i].output.flat())].sort((a,b) => a-b);\n console.log(`Train ${i}: in=${JSON.stringify(ic)} out=${JSON.stringify(oc)}`);\n}\n\n// === PRINT GRIDS (small ones) ===\nconsole.log(\"\\n=== TRAINING EXAMPLES ===\");\nfor (let i = 0; i < train.length; i++) {\n console.log(`\\nTrain ${i} Input:`);\n for (const row of train[i].input) console.log(row.join(' '));\n console.log(`Train ${i} Output:`);\n for (const row of train[i].output) console.log(row.join(' '));\n}\n\nconsole.log(`\\nTest 0 Input:`);\nfor (const row of test[0].input) console.log(row.join(' '));" + ], + "output": "=== DIMENSIONS ===\nTrain 0: input 5x13 -> output 5x13 ratio: 1x1\nTrain 1: input 21x22 -> output 21x22 ratio: 1x1\nTest inputs:\nTest 0: input 29x29\n\n=== COLOR INVENTORY ===\nTrain 0: in=[1,2,3] out=[1,2,3]\nTrain 1: in=[1,2,3,4,8,9] out=[1,2,3,4,8,9]\n\n=== TRAINING EXAMPLES ===\n\nTrain 0 Input:\n3 3 3 3 3 3 3 3 3 3 3 3 3\n3 2 2 2 2 2 2 2 2 2 2 2 3\n3 2 1 3 1 3 1 3 3 3 1 2 3\n3 2 2 2 2 2 2 2 2 2 2 2 3\n3 3 3 3 3 3 3 3 3 3 3 3 3\nTrain 0 Output:\n3 3 3 3 3 3 3 3 3 3 3 3 3\n3 2 2 2 2 2 2 2 2 2 2 2 3\n3 2 1 3 1 3 1 3 1 3 1 2 3\n3 2 2 2 2 2 2 2 2 2 2 2 3\n3 3 3 3 3 3 3 3 3 3 3 3 3\n\nTrain 1 Input:\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 4 3 3 2 4\n4 2 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 4 3 3 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 1 4 1 4 1 4 1 1 1 4 1 4 1 4 1 4 1 4 2 4\n4 2 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 8 4 4 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 2 4\n4 2 8 8 4 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 9 2 4\n4 2 9 4 9 4 9 4 9 9 9 4 9 4 9 4 9 4 9 4 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\nTrain 1 Output:\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 2 4\n4 2 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 2 4\n4 2 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 2 4\n4 2 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 2 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 2 4\n4 2 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 2 4\n4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4\n4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n\nTest 0 Input:\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 4 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 1 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 8 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 1 8 3 8 3 4 8 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 9 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8", + "error": null + }, + { + "reasoning": "\n\nIteration 2 of 20. Remaining: 18.\nStatus: exploring\n\nI can see the structure now. The grid has rectangular regions bordered by frames. Each region contains a repeating pattern that has some \"errors\" or disruptions, and the output fixes those patterns to be perfectly periodic. Let me analyze this more carefully.\n\n```javascript\n// Train 0: The inner row (row 2) has pattern: 1 3 1 3 1 3 _ _ 1\n// Input: 1 3 1 3 1 3 3 3 1 (positions 2-10)\n// Output: 1 3 1 3 1 3 1 3 1 (positions 2-10)\n// The \"3 3\" at positions 7-8 was replaced with \"1 3\" to continue the pattern\n\n// Train 1 has multiple blocks. Let me analyze each block's inner pattern.\n// Block 1 (rows 2-3, cols 2-19): \n// Input row 2: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 4 3 3\n// Output row 2: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4\n// Pattern: \"3 3 4\" repeating\n\n// Block 2 (rows 7-8, cols 2-19): checkerboard pattern\n// Input row 7: 1 4 1 4 1 4 1 1 1 4 1 4 1 4 1 4 1 4\n// Output row 7: 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\n// Pattern: \"1 4\" alternating\n\n// Block 4 (rows 17-18, cols 2-19):\n// Input row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 9\n// Output row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n// Input row 18: 9 4 9 4 9 4 9 9 9 4 9 4 9 4 9 4 9 4\n// Output row 18: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n\n// So the idea is: each rectangular region has a repeating pattern, but with some cells corrupted.\n// We need to find the correct period and fix the corrupted cells.\n\n// For the test input, there are 4 rectangular regions separated by borders.\n// Let me identify them.\n\nconst testInput = test[0].input;\nconsole.log(\"Test input size:\", testInput.length, \"x\", testInput[0].length);\n\n// The test has 4 panels in a row, each 6 wide internally, bordered by 3 and 8\n// Let me look at the structure more carefully\n\n// First, let me understand Train 1 block 3 (8-pattern, rows 12-13)\nconsole.log(\"\\nTrain 1 Block 3:\");\nconsole.log(\"Input row 12:\", train[1].input[12].slice(2, 20).join(' '));\nconsole.log(\"Output row 12:\", train[1].output[12].slice(2, 20).join(' '));\nconsole.log(\"Input row 13:\", train[1].input[13].slice(2, 20).join(' '));\nconsole.log(\"Output row 13:\", train[1].output[13].slice(2, 20).join(' '));\n\n// The 8 block: input has \"8 4 4 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\"\n// Output: \"8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\"\n// Pattern is \"8 4 8 8\" or \"8 8 8 4\" repeating with period 4? No...\n// Output row 12: 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\n// That looks like: (8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4) - doesn't quite fit\n// Let me look differently: (8) then (4 8 8 8) repeating? \n// 8, 4 8 8 8, 4 8 8 8, 4 8 8 8, 4 8 8 8, 4\n// That's period 4 starting offset\n\n// Row 13: 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8\n// (8 8 8 4) repeating perfectly\n\nconsole.log(\"\\n=== Analyzing repeating period for each block row ===\");\n\n// Function: find the repeating period of a sequence\nfunction findPeriod(seq) {\n for (let p = 1; p <= seq.length / 2; p++) {\n let match = true;\n for (let i = 0; i < seq.length; i++) {\n if (seq[i] !== seq[i % p]) { match = false; break; }\n }\n if (match) return p;\n }\n return seq.length;\n}\n\n// For each output row in block 3\nconst outRow12 = train[1].output[12].slice(2, 20);\nconst outRow13 = train[1].output[13].slice(2, 20);\nconsole.log(\"Output row 12 period:\", findPeriod(outRow12));\nconsole.log(\"Output row 13 period:\", findPeriod(outRow13));\n```", + "code": [ + "// Train 0: The inner row (row 2) has pattern: 1 3 1 3 1 3 _ _ 1\n// Input: 1 3 1 3 1 3 3 3 1 (positions 2-10)\n// Output: 1 3 1 3 1 3 1 3 1 (positions 2-10)\n// The \"3 3\" at positions 7-8 was replaced with \"1 3\" to continue the pattern\n\n// Train 1 has multiple blocks. Let me analyze each block's inner pattern.\n// Block 1 (rows 2-3, cols 2-19): \n// Input row 2: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 4 3 3\n// Output row 2: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4\n// Pattern: \"3 3 4\" repeating\n\n// Block 2 (rows 7-8, cols 2-19): checkerboard pattern\n// Input row 7: 1 4 1 4 1 4 1 1 1 4 1 4 1 4 1 4 1 4\n// Output row 7: 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\n// Pattern: \"1 4\" alternating\n\n// Block 4 (rows 17-18, cols 2-19):\n// Input row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 9\n// Output row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n// Input row 18: 9 4 9 4 9 4 9 9 9 4 9 4 9 4 9 4 9 4\n// Output row 18: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n\n// So the idea is: each rectangular region has a repeating pattern, but with some cells corrupted.\n// We need to find the correct period and fix the corrupted cells.\n\n// For the test input, there are 4 rectangular regions separated by borders.\n// Let me identify them.\n\nconst testInput = test[0].input;\nconsole.log(\"Test input size:\", testInput.length, \"x\", testInput[0].length);\n\n// The test has 4 panels in a row, each 6 wide internally, bordered by 3 and 8\n// Let me look at the structure more carefully\n\n// First, let me understand Train 1 block 3 (8-pattern, rows 12-13)\nconsole.log(\"\\nTrain 1 Block 3:\");\nconsole.log(\"Input row 12:\", train[1].input[12].slice(2, 20).join(' '));\nconsole.log(\"Output row 12:\", train[1].output[12].slice(2, 20).join(' '));\nconsole.log(\"Input row 13:\", train[1].input[13].slice(2, 20).join(' '));\nconsole.log(\"Output row 13:\", train[1].output[13].slice(2, 20).join(' '));\n\n// The 8 block: input has \"8 4 4 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\"\n// Output: \"8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\"\n// Pattern is \"8 4 8 8\" or \"8 8 8 4\" repeating with period 4? No...\n// Output row 12: 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\n// That looks like: (8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4) - doesn't quite fit\n// Let me look differently: (8) then (4 8 8 8) repeating? \n// 8, 4 8 8 8, 4 8 8 8, 4 8 8 8, 4 8 8 8, 4\n// That's period 4 starting offset\n\n// Row 13: 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8\n// (8 8 8 4) repeating perfectly\n\nconsole.log(\"\\n=== Analyzing repeating period for each block row ===\");\n\n// Function: find the repeating period of a sequence\nfunction findPeriod(seq) {\n for (let p = 1; p <= seq.length / 2; p++) {\n let match = true;\n for (let i = 0; i < seq.length; i++) {\n if (seq[i] !== seq[i % p]) { match = false; break; }\n }\n if (match) return p;\n }\n return seq.length;\n}\n\n// For each output row in block 3\nconst outRow12 = train[1].output[12].slice(2, 20);\nconst outRow13 = train[1].output[13].slice(2, 20);\nconsole.log(\"Output row 12 period:\", findPeriod(outRow12));\nconsole.log(\"Output row 13 period:\", findPeriod(outRow13));" + ], + "output": "Test input size: 29 x 29\n\nTrain 1 Block 3:\nInput row 12: 8 4 4 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\nOutput row 12: 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\nInput row 13: 8 8 4 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8\nOutput row 13: 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8\n\n=== Analyzing repeating period for each block row ===\nOutput row 12 period: 4\nOutput row 13 period: 4", + "error": null + }, + { + "reasoning": "\n\nIteration 3 of 20. Remaining: 17.\nStatus: exploring\n\nThe pattern is clear: each region has rows with a repeating period, and some cells are corrupted. The output fixes them. But I need to understand how to find the correct period when cells are corrupted. Let me analyze the test input structure and think about how to detect and fix patterns.\n\n```javascript\n// The approach: for each rectangular panel/region in the grid, each row within the \n// content area has a repeating pattern. We need to detect the period and fix corrupted cells.\n\n// But how do we determine the correct pattern when there are errors?\n// Approach: try each possible period p. For each period, count how many cells are \n// \"consistent\" (i.e., seq[i] === seq[i % p]). The period with the most consistent \n// cells (and smallest period) wins. Then we can use majority voting for each position mod p.\n\n// Let me first understand the test input structure better.\nconst testInput = test[0].input;\n\n// The test seems to have 4 panels arranged in a 1x4 grid (columns)\n// Looking at row 0: all 8s\n// Row 1: 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n// Row 27: same as row 1\n// Row 28: all 8s\n// So it's a single row of 4 panels, each 26 rows tall internally (rows 1-27), \n// with columns: [1-6], [8-13], [15-20], [22-27]\n\n// Wait let me look more carefully at the vertical structure\nconsole.log(\"Column 0 values:\", testInput.map(r => r[0]).join(' '));\nconsole.log(\"Column 7 values:\", testInput.map(r => r[7]).join(' '));\n\n// Check if there are horizontal dividers\nfor (let r = 0; r < testInput.length; r++) {\n const allSame = testInput[r].every(v => v === testInput[r][0]);\n if (allSame) console.log(`Row ${r}: all ${testInput[r][0]}`);\n}\n\n// Check column dividers\nfor (let c = 0; c < testInput[0].length; c++) {\n const allSame = testInput.map(r => r[c]).every(v => v === testInput[0][c]);\n if (allSame) console.log(`Col ${c}: all ${testInput[0][c]}`);\n}\n\n// Looking at the test input more carefully - the 4 panels each have a 3-border\n// Panel 1: rows 1-27, cols 1-6 (border is 3, content is rows 2-26, cols 2-5)\n// Let me check\nconsole.log(\"\\nRow 1:\", testInput[1].join(' '));\nconsole.log(\"Row 27:\", testInput[27].join(' '));\n```", + "code": [ + "// The approach: for each rectangular panel/region in the grid, each row within the \n// content area has a repeating pattern. We need to detect the period and fix corrupted cells.\n\n// But how do we determine the correct pattern when there are errors?\n// Approach: try each possible period p. For each period, count how many cells are \n// \"consistent\" (i.e., seq[i] === seq[i % p]). The period with the most consistent \n// cells (and smallest period) wins. Then we can use majority voting for each position mod p.\n\n// Let me first understand the test input structure better.\nconst testInput = test[0].input;\n\n// The test seems to have 4 panels arranged in a 1x4 grid (columns)\n// Looking at row 0: all 8s\n// Row 1: 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n// Row 27: same as row 1\n// Row 28: all 8s\n// So it's a single row of 4 panels, each 26 rows tall internally (rows 1-27), \n// with columns: [1-6], [8-13], [15-20], [22-27]\n\n// Wait let me look more carefully at the vertical structure\nconsole.log(\"Column 0 values:\", testInput.map(r => r[0]).join(' '));\nconsole.log(\"Column 7 values:\", testInput.map(r => r[7]).join(' '));\n\n// Check if there are horizontal dividers\nfor (let r = 0; r < testInput.length; r++) {\n const allSame = testInput[r].every(v => v === testInput[r][0]);\n if (allSame) console.log(`Row ${r}: all ${testInput[r][0]}`);\n}\n\n// Check column dividers\nfor (let c = 0; c < testInput[0].length; c++) {\n const allSame = testInput.map(r => r[c]).every(v => v === testInput[0][c]);\n if (allSame) console.log(`Col ${c}: all ${testInput[0][c]}`);\n}\n\n// Looking at the test input more carefully - the 4 panels each have a 3-border\n// Panel 1: rows 1-27, cols 1-6 (border is 3, content is rows 2-26, cols 2-5)\n// Let me check\nconsole.log(\"\\nRow 1:\", testInput[1].join(' '));\nconsole.log(\"Row 27:\", testInput[27].join(' '));" + ], + "output": "Column 0 values: 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8\nColumn 7 values: 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8\nRow 0: all 8\nRow 28: all 8\nCol 0: all 8\nCol 7: all 8\nCol 14: all 8\nCol 21: all 8\nCol 28: all 8\n\nRow 1: 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\nRow 27: 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8", + "error": null + }, + { + "reasoning": "\n\nIteration 4 of 20. Remaining: 16.\nStatus: exploring\n\nNow I see the test structure. It has 4 panels side by side, each bordered by 3, with 8 as the outer border. Let me look at the content of each panel and understand the repeating patterns.\n\n```javascript\n// Test: 4 panels, cols 1-6, 8-13, 15-20, 22-27\n// Each panel has border of 3 at rows 1,27 and at the panel edges\n// Content rows: 2-26, content cols within each panel: offset+2 to offset+5 (4 cols wide)\n\n// Panel 1: cols 1-6, rows 1-27\n// Border: row 1, row 27 = all 3s; col 1, col 6 = 3\n// Content: rows 2-26, cols 2-5\n\n// Let me extract and display each panel's content\nconst panels = [\n { colStart: 2, colEnd: 5 }, // panel 1 content\n { colStart: 9, colEnd: 12 }, // panel 2 content\n { colStart: 16, colEnd: 19 }, // panel 3 content\n { colStart: 23, colEnd: 26 }, // panel 4 content\n];\n\nconst testIn = test[0].input;\n\nfor (let p = 0; p < 4; p++) {\n console.log(`\\n=== Panel ${p+1} (cols ${panels[p].colStart}-${panels[p].colEnd}) ===`);\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = panels[p].colStart; c <= panels[p].colEnd; c++) {\n row.push(testIn[r][c]);\n }\n console.log(`Row ${r}: ${row.join(' ')}`);\n }\n}\n```", + "code": [ + "// Test: 4 panels, cols 1-6, 8-13, 15-20, 22-27\n// Each panel has border of 3 at rows 1,27 and at the panel edges\n// Content rows: 2-26, content cols within each panel: offset+2 to offset+5 (4 cols wide)\n\n// Panel 1: cols 1-6, rows 1-27\n// Border: row 1, row 27 = all 3s; col 1, col 6 = 3\n// Content: rows 2-26, cols 2-5\n\n// Let me extract and display each panel's content\nconst panels = [\n { colStart: 2, colEnd: 5 }, // panel 1 content\n { colStart: 9, colEnd: 12 }, // panel 2 content\n { colStart: 16, colEnd: 19 }, // panel 3 content\n { colStart: 23, colEnd: 26 }, // panel 4 content\n];\n\nconst testIn = test[0].input;\n\nfor (let p = 0; p < 4; p++) {\n console.log(`\\n=== Panel ${p+1} (cols ${panels[p].colStart}-${panels[p].colEnd}) ===`);\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = panels[p].colStart; c <= panels[p].colEnd; c++) {\n row.push(testIn[r][c]);\n }\n console.log(`Row ${r}: ${row.join(' ')}`);\n }\n}" + ], + "output": "\n=== Panel 1 (cols 2-5) ===\nRow 2: 8 8 8 8\nRow 3: 8 2 2 8\nRow 4: 8 2 2 8\nRow 5: 8 8 8 8\nRow 6: 8 2 2 8\nRow 7: 8 2 2 8\nRow 8: 8 8 8 8\nRow 9: 8 2 2 8\nRow 10: 8 2 2 8\nRow 11: 8 8 8 8\nRow 12: 8 2 2 8\nRow 13: 8 2 2 8\nRow 14: 8 8 8 8\nRow 15: 8 2 2 8\nRow 16: 8 2 2 8\nRow 17: 8 8 8 8\nRow 18: 8 2 2 8\nRow 19: 8 2 2 8\nRow 20: 8 8 8 8\nRow 21: 8 2 2 8\nRow 22: 8 2 2 8\nRow 23: 8 8 8 8\nRow 24: 8 8 2 8\nRow 25: 8 2 2 8\nRow 26: 8 8 8 8\n\n=== Panel 2 (cols 9-12) ===\nRow 2: 1 8 8 8\nRow 3: 8 1 8 8\nRow 4: 8 8 1 8\nRow 5: 8 8 8 1\nRow 6: 8 8 1 8\nRow 7: 8 1 8 8\nRow 8: 1 8 8 8\nRow 9: 8 1 8 8\nRow 10: 8 8 1 8\nRow 11: 8 8 8 1\nRow 12: 1 8 1 8\nRow 13: 8 1 8 8\nRow 14: 1 8 8 8\nRow 15: 8 1 8 8\nRow 16: 8 8 1 8\nRow 17: 8 8 8 1\nRow 18: 8 8 1 8\nRow 19: 8 1 8 8\nRow 20: 1 8 8 8\nRow 21: 8 1 8 8\nRow 22: 8 8 1 8\nRow 23: 8 8 1 8\nRow 24: 8 8 1 8\nRow 25: 8 1 8 8\nRow 26: 1 8 8 8\n\n=== Panel 3 (cols 16-19) ===\nRow 2: 4 4 8 8\nRow 3: 4 4 4 4\nRow 4: 8 8 8 4\nRow 5: 4 4 4 4\nRow 6: 4 8 8 8\nRow 7: 4 4 4 4\nRow 8: 8 8 8 4\nRow 9: 4 4 4 4\nRow 10: 4 8 8 8\nRow 11: 4 4 4 4\nRow 12: 8 8 8 4\nRow 13: 4 8 4 4\nRow 14: 4 8 8 8\nRow 15: 4 4 4 4\nRow 16: 8 8 8 4\nRow 17: 4 4 4 4\nRow 18: 4 8 8 8\nRow 19: 4 4 4 4\nRow 20: 8 8 8 4\nRow 21: 4 4 4 4\nRow 22: 4 8 8 8\nRow 23: 4 8 4 4\nRow 24: 8 8 8 4\nRow 25: 4 4 4 4\nRow 26: 4 8 8 8\n\n=== Panel 4 (cols 23-26) ===\nRow 2: 8 8 8 8\nRow 3: 8 8 8 8\nRow 4: 8 9 9 8\nRow 5: 8 9 8 8\nRow 6: 8 8 8 8\nRow 7: 8 9 8 8\nRow 8: 8 9 9 8\nRow 9: 8 9 8 8\nRow 10: 8 8 8 8\nRow 11: 8 9 8 8\nRow 12: 8 9 9 8\nRow 13: 8 9 8 8\nRow 14: 8 8 8 8\nRow 15: 8 9 8 8\nRow 16: 8 9 9 8\nRow 17: 8 9 8 8\nRow 18: 8 8 8 8\nRow 19: 8 9 8 8\nRow 20: 8 9 9 8\nRow 21: 8 9 8 8\nRow 22: 8 8 8 8\nRow 23: 8 9 8 8\nRow 24: 8 9 9 8\nRow 25: 8 9 9 8\nRow 26: 8 8 8 8", + "error": null + }, + { + "reasoning": "\n\nIteration 5 of 20. Remaining: 15.\nStatus: exploring\n\nNow I can see the patterns clearly. Each panel has a repeating vertical pattern with some corrupted rows. Let me identify the period and the \"correct\" pattern for each panel, then figure out which rows are corrupted.\n\n```javascript\n// Each panel has a vertical repeating pattern. Let me find the period.\n// Panel 1: period seems to be 3 rows: [8,8,8,8], [8,2,2,8], [8,2,2,8] repeating\n// But row 24 has [8,8,2,8] instead of [8,2,2,8] - that's the error\n\n// Panel 2: The 1 moves diagonally - a zigzag pattern\n// Let me look at which column the 1 is in for each row\n// Row 2: col 0 (1,8,8,8)\n// Row 3: col 1\n// Row 4: col 2\n// Row 5: col 3\n// Row 6: col 2\n// Row 7: col 1\n// Row 8: col 0\n// Row 9: col 1\n// Row 10: col 2\n// Row 11: col 3\n// Row 12: col 0 AND col 2 - ERROR! should be col 2 only? or col 0?\n// Period is 6: 0,1,2,3,2,1, 0,1,2,3,2,1, ...\n\n// Let me verify\nconst panels = [\n { colStart: 2, colEnd: 5 },\n { colStart: 9, colEnd: 12 },\n { colStart: 16, colEnd: 19 },\n { colStart: 23, colEnd: 26 },\n];\n\nconst testIn = test[0].input;\n\n// Extract each panel's content as a 2D array\nfunction extractPanel(grid, cs, ce, rs, re) {\n const result = [];\n for (let r = rs; r <= re; r++) {\n const row = [];\n for (let c = cs; c <= ce; c++) row.push(grid[r][c]);\n result.push(row);\n }\n return result;\n}\n\n// For each panel, try to find vertical period\nfor (let p = 0; p < 4; p++) {\n const content = extractPanel(testIn, panels[p].colStart, panels[p].colEnd, 2, 26);\n const H = content.length; // 25 rows\n \n console.log(`\\n=== Panel ${p+1}: Finding vertical period ===`);\n \n // Try periods from 1 to H/2\n for (let period = 1; period <= 12; period++) {\n let matches = 0;\n let total = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < content[0].length; c++) {\n total++;\n if (content[r][c] === content[r % period][c]) matches++;\n }\n }\n if (matches > total * 0.85) {\n console.log(`Period ${period}: ${matches}/${total} matches (${(100*matches/total).toFixed(1)}%)`);\n }\n }\n}\n\n// Also let me check what the train examples look like in terms of structure\n// Train 0: simple 1-row content, horizontal pattern\n// Train 1: multiple blocks, each with 1 or 2 content rows, horizontal pattern\n\n// The test has vertical patterns! So we need a general approach:\n// find the repeating unit (could be horizontal, vertical, or both) and fix corruptions\n```", + "code": [ + "// Each panel has a vertical repeating pattern. Let me find the period.\n// Panel 1: period seems to be 3 rows: [8,8,8,8], [8,2,2,8], [8,2,2,8] repeating\n// But row 24 has [8,8,2,8] instead of [8,2,2,8] - that's the error\n\n// Panel 2: The 1 moves diagonally - a zigzag pattern\n// Let me look at which column the 1 is in for each row\n// Row 2: col 0 (1,8,8,8)\n// Row 3: col 1\n// Row 4: col 2\n// Row 5: col 3\n// Row 6: col 2\n// Row 7: col 1\n// Row 8: col 0\n// Row 9: col 1\n// Row 10: col 2\n// Row 11: col 3\n// Row 12: col 0 AND col 2 - ERROR! should be col 2 only? or col 0?\n// Period is 6: 0,1,2,3,2,1, 0,1,2,3,2,1, ...\n\n// Let me verify\nconst panels = [\n { colStart: 2, colEnd: 5 },\n { colStart: 9, colEnd: 12 },\n { colStart: 16, colEnd: 19 },\n { colStart: 23, colEnd: 26 },\n];\n\nconst testIn = test[0].input;\n\n// Extract each panel's content as a 2D array\nfunction extractPanel(grid, cs, ce, rs, re) {\n const result = [];\n for (let r = rs; r <= re; r++) {\n const row = [];\n for (let c = cs; c <= ce; c++) row.push(grid[r][c]);\n result.push(row);\n }\n return result;\n}\n\n// For each panel, try to find vertical period\nfor (let p = 0; p < 4; p++) {\n const content = extractPanel(testIn, panels[p].colStart, panels[p].colEnd, 2, 26);\n const H = content.length; // 25 rows\n \n console.log(`\\n=== Panel ${p+1}: Finding vertical period ===`);\n \n // Try periods from 1 to H/2\n for (let period = 1; period <= 12; period++) {\n let matches = 0;\n let total = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < content[0].length; c++) {\n total++;\n if (content[r][c] === content[r % period][c]) matches++;\n }\n }\n if (matches > total * 0.85) {\n console.log(`Period ${period}: ${matches}/${total} matches (${(100*matches/total).toFixed(1)}%)`);\n }\n }\n}\n\n// Also let me check what the train examples look like in terms of structure\n// Train 0: simple 1-row content, horizontal pattern\n// Train 1: multiple blocks, each with 1 or 2 content rows, horizontal pattern\n\n// The test has vertical patterns! So we need a general approach:\n// find the repeating unit (could be horizontal, vertical, or both) and fix corruptions" + ], + "output": "\n=== Panel 1: Finding vertical period ===\nPeriod 3: 99/100 matches (99.0%)\nPeriod 6: 99/100 matches (99.0%)\nPeriod 9: 99/100 matches (99.0%)\nPeriod 12: 99/100 matches (99.0%)\n\n=== Panel 2: Finding vertical period ===\nPeriod 6: 97/100 matches (97.0%)\nPeriod 12: 97/100 matches (97.0%)\n\n=== Panel 3: Finding vertical period ===\nPeriod 4: 92/100 matches (92.0%)\nPeriod 8: 95/100 matches (95.0%)\nPeriod 10: 86/100 matches (86.0%)\nPeriod 12: 96/100 matches (96.0%)\n\n=== Panel 4: Finding vertical period ===\nPeriod 4: 94/100 matches (94.0%)\nPeriod 8: 97/100 matches (97.0%)\nPeriod 10: 87/100 matches (87.0%)\nPeriod 12: 98/100 matches (98.0%)", + "error": null + }, + { + "reasoning": "\n\nIteration 6 of 20. Remaining: 14.\nStatus: exploring\n\nGood. Panels have vertical periods: P1=3, P2=6, P3=4, P4=4. But the match percentages aren't 100% because of corruptions. I need to use majority voting to determine the \"true\" pattern for each period position, then apply it. Let me first verify this approach works on the training examples.\n\n```javascript\n// Let me first verify on training examples\n// Train 0: single content row, horizontal period\n// Train 1: multiple blocks with horizontal periods\n\n// For Train 0: content is row 2, cols 2-10 (9 cells)\n// Input: [1,3,1,3,1,3,3,3,1]\n// Output: [1,3,1,3,1,3,1,3,1] - period 2\n\n// For Train 1, let me check all blocks\nconst t1 = train[1];\n\n// Block boundaries: rows 2-3 (cols 2-19), rows 7-8, rows 12-13, rows 17-18\nconst blocks = [\n { rows: [2,3], cols: [2,19] },\n { rows: [7,8], cols: [2,19] },\n { rows: [12,13], cols: [2,19] },\n { rows: [17,18], cols: [2,19] },\n];\n\nfor (let b = 0; b < blocks.length; b++) {\n console.log(`\\n=== Train 1 Block ${b} ===`);\n for (const r of blocks[b].rows) {\n const inRow = t1.input[r].slice(blocks[b].cols[0], blocks[b].cols[1]+1);\n const outRow = t1.output[r].slice(blocks[b].cols[0], blocks[b].cols[1]+1);\n \n // Find horizontal period using majority voting\n for (let period = 1; period <= 6; period++) {\n let matches = 0;\n for (let i = 0; i < outRow.length; i++) {\n if (outRow[i] === outRow[i % period]) matches++;\n }\n if (matches === outRow.length) {\n console.log(`Row ${r} output has period ${period}: ${outRow.join(' ')}`);\n \n // Now check: can we recover this from input using majority voting?\n const buckets = {};\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][inRow[i]] = (buckets[pos][inRow[i]] || 0) + 1;\n }\n const recovered = [];\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n const majority = Object.entries(buckets[pos]).sort((a,b) => b[1]-a[1])[0][0];\n recovered.push(+majority);\n }\n const match = JSON.stringify(recovered) === JSON.stringify(outRow);\n console.log(` Majority vote recovery: ${match ? 'MATCH' : 'FAIL'}`);\n if (!match) {\n console.log(` Input: ${inRow.join(' ')}`);\n console.log(` Recovered: ${recovered.join(' ')}`);\n console.log(` Expected: ${outRow.join(' ')}`);\n }\n break;\n }\n }\n }\n}\n\n// Also check Train 0\nconsole.log(\"\\n=== Train 0 ===\");\nconst t0 = train[0];\nconst inRow = t0.input[2].slice(2, 11);\nconst outRow = t0.output[2].slice(2, 11);\nconsole.log(`Input: ${inRow.join(' ')}`);\nconsole.log(`Output: ${outRow.join(' ')}`);\nfor (let period = 1; period <= 5; period++) {\n let matches = 0;\n for (let i = 0; i < outRow.length; i++) {\n if (outRow[i] === outRow[i % period]) matches++;\n }\n if (matches === outRow.length) {\n console.log(`Period ${period}`);\n // Majority vote\n const buckets = {};\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][inRow[i]] = (buckets[pos][inRow[i]] || 0) + 1;\n }\n const recovered = inRow.map((_, i) => +Object.entries(buckets[i % period]).sort((a,b) => b[1]-a[1])[0][0]);\n console.log(`Majority vote: ${JSON.stringify(recovered) === JSON.stringify(outRow) ? 'MATCH' : 'FAIL'}`);\n break;\n }\n}\n```", + "code": [ + "// Let me first verify on training examples\n// Train 0: single content row, horizontal period\n// Train 1: multiple blocks with horizontal periods\n\n// For Train 0: content is row 2, cols 2-10 (9 cells)\n// Input: [1,3,1,3,1,3,3,3,1]\n// Output: [1,3,1,3,1,3,1,3,1] - period 2\n\n// For Train 1, let me check all blocks\nconst t1 = train[1];\n\n// Block boundaries: rows 2-3 (cols 2-19), rows 7-8, rows 12-13, rows 17-18\nconst blocks = [\n { rows: [2,3], cols: [2,19] },\n { rows: [7,8], cols: [2,19] },\n { rows: [12,13], cols: [2,19] },\n { rows: [17,18], cols: [2,19] },\n];\n\nfor (let b = 0; b < blocks.length; b++) {\n console.log(`\\n=== Train 1 Block ${b} ===`);\n for (const r of blocks[b].rows) {\n const inRow = t1.input[r].slice(blocks[b].cols[0], blocks[b].cols[1]+1);\n const outRow = t1.output[r].slice(blocks[b].cols[0], blocks[b].cols[1]+1);\n \n // Find horizontal period using majority voting\n for (let period = 1; period <= 6; period++) {\n let matches = 0;\n for (let i = 0; i < outRow.length; i++) {\n if (outRow[i] === outRow[i % period]) matches++;\n }\n if (matches === outRow.length) {\n console.log(`Row ${r} output has period ${period}: ${outRow.join(' ')}`);\n \n // Now check: can we recover this from input using majority voting?\n const buckets = {};\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][inRow[i]] = (buckets[pos][inRow[i]] || 0) + 1;\n }\n const recovered = [];\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n const majority = Object.entries(buckets[pos]).sort((a,b) => b[1]-a[1])[0][0];\n recovered.push(+majority);\n }\n const match = JSON.stringify(recovered) === JSON.stringify(outRow);\n console.log(` Majority vote recovery: ${match ? 'MATCH' : 'FAIL'}`);\n if (!match) {\n console.log(` Input: ${inRow.join(' ')}`);\n console.log(` Recovered: ${recovered.join(' ')}`);\n console.log(` Expected: ${outRow.join(' ')}`);\n }\n break;\n }\n }\n }\n}\n\n// Also check Train 0\nconsole.log(\"\\n=== Train 0 ===\");\nconst t0 = train[0];\nconst inRow = t0.input[2].slice(2, 11);\nconst outRow = t0.output[2].slice(2, 11);\nconsole.log(`Input: ${inRow.join(' ')}`);\nconsole.log(`Output: ${outRow.join(' ')}`);\nfor (let period = 1; period <= 5; period++) {\n let matches = 0;\n for (let i = 0; i < outRow.length; i++) {\n if (outRow[i] === outRow[i % period]) matches++;\n }\n if (matches === outRow.length) {\n console.log(`Period ${period}`);\n // Majority vote\n const buckets = {};\n for (let i = 0; i < inRow.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][inRow[i]] = (buckets[pos][inRow[i]] || 0) + 1;\n }\n const recovered = inRow.map((_, i) => +Object.entries(buckets[i % period]).sort((a,b) => b[1]-a[1])[0][0]);\n console.log(`Majority vote: ${JSON.stringify(recovered) === JSON.stringify(outRow) ? 'MATCH' : 'FAIL'}`);\n break;\n }\n}" + ], + "output": "\n=== Train 1 Block 0 ===\nRow 2 output has period 3: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4\n Majority vote recovery: MATCH\nRow 3 output has period 3: 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3 4\n Majority vote recovery: MATCH\n\n=== Train 1 Block 1 ===\nRow 7 output has period 2: 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\n Majority vote recovery: MATCH\nRow 8 output has period 2: 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1\n Majority vote recovery: MATCH\n\n=== Train 1 Block 2 ===\nRow 12 output has period 4: 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4\n Majority vote recovery: MATCH\nRow 13 output has period 4: 8 8 8 4 8 8 8 4 8 8 8 4 8 8 8 4 8 8\n Majority vote recovery: MATCH\n\n=== Train 1 Block 3 ===\nRow 17 output has period 2: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n Majority vote recovery: MATCH\nRow 18 output has period 2: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n Majority vote recovery: MATCH\n\n=== Train 0 ===\nInput: 1 3 1 3 1 3 3 3 1\nOutput: 1 3 1 3 1 3 1 3 1\nPeriod 2\nMajority vote: MATCH", + "error": null + }, + { + "reasoning": "\n\nIteration 7 of 20. Remaining: 13.\nStatus: have candidate approach, need to implement for 2D patterns\n\nThe majority voting approach works perfectly for horizontal patterns. Now for the test input, the patterns are vertical. But I should generalize: the approach should work for both horizontal and vertical patterns. Let me think about the test more carefully.\n\nFor the test, each panel has content that repeats vertically with some period. I need to apply majority voting along the vertical axis for each column within each panel. But actually, the pattern is 2D - let me treat it as a 2D repeating tile.\n\n```javascript\n// For the test panels, the pattern repeats vertically.\n// For each panel, I need to:\n// 1. Find the vertical period\n// 2. For each (row % period, col) position, use majority voting across all repetitions\n// 3. Replace corrupted cells\n\n// But wait - I should think about this more generally as 2D tiling.\n// Let me try: for each panel, find the smallest 2D tile (pH rows x pW cols) that tiles the content\n// with majority voting to handle corruptions.\n\n// Actually, for training examples, the pattern was 1D (horizontal).\n// For test, it seems vertical.\n// Let me just handle vertical period with majority voting per-column.\n\n// Let me implement the fix for the test panels\n\nfunction fixWithVerticalPeriod(content, period) {\n const H = content.length;\n const W = content[0].length;\n \n // For each (pos_in_period, col), collect all values\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n \n // Reconstruct using majority vote\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\n// Extract panels and fix them\nconst testIn = test[0].input;\nconst panelDefs = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs[p];\n const content = [];\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = def.colStart; c <= def.colEnd; c++) row.push(testIn[r][c]);\n content.push(row);\n }\n \n const fixed = fixWithVerticalPeriod(content, def.period);\n \n console.log(`\\n=== Panel ${p+1} (period ${def.period}) ===`);\n let diffs = 0;\n for (let r = 0; r < content.length; r++) {\n const same = JSON.stringify(content[r]) === JSON.stringify(fixed[r]);\n if (!same) {\n console.log(`Row ${r+2}: ${content[r].join(' ')} -> ${fixed[r].join(' ')}`);\n diffs++;\n }\n }\n console.log(`Total diffs: ${diffs} rows changed`);\n}\n```", + "code": [ + "// For the test panels, the pattern repeats vertically.\n// For each panel, I need to:\n// 1. Find the vertical period\n// 2. For each (row % period, col) position, use majority voting across all repetitions\n// 3. Replace corrupted cells\n\n// But wait - I should think about this more generally as 2D tiling.\n// Let me try: for each panel, find the smallest 2D tile (pH rows x pW cols) that tiles the content\n// with majority voting to handle corruptions.\n\n// Actually, for training examples, the pattern was 1D (horizontal).\n// For test, it seems vertical.\n// Let me just handle vertical period with majority voting per-column.\n\n// Let me implement the fix for the test panels\n\nfunction fixWithVerticalPeriod(content, period) {\n const H = content.length;\n const W = content[0].length;\n \n // For each (pos_in_period, col), collect all values\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n \n // Reconstruct using majority vote\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\n// Extract panels and fix them\nconst testIn = test[0].input;\nconst panelDefs = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs[p];\n const content = [];\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = def.colStart; c <= def.colEnd; c++) row.push(testIn[r][c]);\n content.push(row);\n }\n \n const fixed = fixWithVerticalPeriod(content, def.period);\n \n console.log(`\\n=== Panel ${p+1} (period ${def.period}) ===`);\n let diffs = 0;\n for (let r = 0; r < content.length; r++) {\n const same = JSON.stringify(content[r]) === JSON.stringify(fixed[r]);\n if (!same) {\n console.log(`Row ${r+2}: ${content[r].join(' ')} -> ${fixed[r].join(' ')}`);\n diffs++;\n }\n }\n console.log(`Total diffs: ${diffs} rows changed`);\n}" + ], + "output": "\n=== Panel 1 (period 3) ===\nRow 24: 8 8 2 8 -> 8 2 2 8\nTotal diffs: 1 rows changed\n\n=== Panel 2 (period 6) ===\nRow 12: 1 8 1 8 -> 8 8 1 8\nRow 23: 8 8 1 8 -> 8 8 8 1\nTotal diffs: 2 rows changed\n\n=== Panel 3 (period 4) ===\nRow 2: 4 4 8 8 -> 4 8 8 8\nRow 13: 4 8 4 4 -> 4 4 4 4\nRow 23: 4 8 4 4 -> 4 4 4 4\nTotal diffs: 3 rows changed\n\n=== Panel 4 (period 4) ===\nRow 3: 8 8 8 8 -> 8 9 8 8\nRow 25: 8 9 9 8 -> 8 9 8 8\nTotal diffs: 2 rows changed", + "error": null + }, + { + "reasoning": "\n\nIteration 8 of 20. Remaining: 12.\nStatus: have candidate approach working, need to verify and build full output\n\nThe fixes look reasonable. But wait - Panel 3 row 2 changes from `4 4 8 8` to `4 8 8 8`, and Panel 4 row 3 changes from `8 8 8 8` to `8 9 8 8`. Let me verify these make sense by checking the full corrected panels.\n\n```javascript\n// Let me print the full corrected panels to verify they look periodic\nconst testIn2 = test[0].input;\nconst panelDefs2 = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfunction extractContent(grid, cs, ce, rs, re) {\n const result = [];\n for (let r = rs; r <= re; r++) {\n const row = [];\n for (let c = cs; c <= ce; c++) row.push(grid[r][c]);\n result.push(row);\n }\n return result;\n}\n\nfunction fixWithVerticalPeriod(content, period) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs2[p];\n const content = extractContent(testIn2, def.colStart, def.colEnd, 2, 26);\n const fixed = fixWithVerticalPeriod(content, def.period);\n \n console.log(`\\n=== Panel ${p+1} Fixed (period ${def.period}) ===`);\n for (let r = 0; r < fixed.length; r++) {\n console.log(`Row ${r+2}: ${fixed[r].join(' ')}`);\n }\n \n // Verify periodicity\n let periodic = true;\n for (let r = 0; r < fixed.length; r++) {\n for (let c = 0; c < fixed[0].length; c++) {\n if (fixed[r][c] !== fixed[r % def.period][c]) { periodic = false; break; }\n }\n if (!periodic) break;\n }\n console.log(`Perfectly periodic: ${periodic}`);\n}\n```", + "code": [ + "// Let me print the full corrected panels to verify they look periodic\nconst testIn2 = test[0].input;\nconst panelDefs2 = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfunction extractContent(grid, cs, ce, rs, re) {\n const result = [];\n for (let r = rs; r <= re; r++) {\n const row = [];\n for (let c = cs; c <= ce; c++) row.push(grid[r][c]);\n result.push(row);\n }\n return result;\n}\n\nfunction fixWithVerticalPeriod(content, period) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs2[p];\n const content = extractContent(testIn2, def.colStart, def.colEnd, 2, 26);\n const fixed = fixWithVerticalPeriod(content, def.period);\n \n console.log(`\\n=== Panel ${p+1} Fixed (period ${def.period}) ===`);\n for (let r = 0; r < fixed.length; r++) {\n console.log(`Row ${r+2}: ${fixed[r].join(' ')}`);\n }\n \n // Verify periodicity\n let periodic = true;\n for (let r = 0; r < fixed.length; r++) {\n for (let c = 0; c < fixed[0].length; c++) {\n if (fixed[r][c] !== fixed[r % def.period][c]) { periodic = false; break; }\n }\n if (!periodic) break;\n }\n console.log(`Perfectly periodic: ${periodic}`);\n}" + ], + "output": "\n=== Panel 1 Fixed (period 3) ===\nRow 2: 8 8 8 8\nRow 3: 8 2 2 8\nRow 4: 8 2 2 8\nRow 5: 8 8 8 8\nRow 6: 8 2 2 8\nRow 7: 8 2 2 8\nRow 8: 8 8 8 8\nRow 9: 8 2 2 8\nRow 10: 8 2 2 8\nRow 11: 8 8 8 8\nRow 12: 8 2 2 8\nRow 13: 8 2 2 8\nRow 14: 8 8 8 8\nRow 15: 8 2 2 8\nRow 16: 8 2 2 8\nRow 17: 8 8 8 8\nRow 18: 8 2 2 8\nRow 19: 8 2 2 8\nRow 20: 8 8 8 8\nRow 21: 8 2 2 8\nRow 22: 8 2 2 8\nRow 23: 8 8 8 8\nRow 24: 8 2 2 8\nRow 25: 8 2 2 8\nRow 26: 8 8 8 8\nPerfectly periodic: true\n\n=== Panel 2 Fixed (period 6) ===\nRow 2: 1 8 8 8\nRow 3: 8 1 8 8\nRow 4: 8 8 1 8\nRow 5: 8 8 8 1\nRow 6: 8 8 1 8\nRow 7: 8 1 8 8\nRow 8: 1 8 8 8\nRow 9: 8 1 8 8\nRow 10: 8 8 1 8\nRow 11: 8 8 8 1\nRow 12: 8 8 1 8\nRow 13: 8 1 8 8\nRow 14: 1 8 8 8\nRow 15: 8 1 8 8\nRow 16: 8 8 1 8\nRow 17: 8 8 8 1\nRow 18: 8 8 1 8\nRow 19: 8 1 8 8\nRow 20: 1 8 8 8\nRow 21: 8 1 8 8\nRow 22: 8 8 1 8\nRow 23: 8 8 8 1\nRow 24: 8 8 1 8\nRow 25: 8 1 8 8\nRow 26: 1 8 8 8\nPerfectly periodic: true\n\n=== Panel 3 Fixed (period 4) ===\nRow 2: 4 8 8 8\nRow 3: 4 4 4 4\nRow 4: 8 8 8 4\nRow 5: 4 4 4 4\nRow 6: 4 8 8 8\nRow 7: 4 4 4 4\nRow 8: 8 8 8 4\nRow 9: 4 4 4 4\nRow 10: 4 8 8 8\nRow 11: 4 4 4 4\nRow 12: 8 8 8 4\nRow 13: 4 4 4 4\nRow 14: 4 8 8 8\nRow 15: 4 4 4 4\nRow 16: 8 8 8 4\nRow 17: 4 4 4 4\nRow 18: 4 8 8 8\nRow 19: 4 4 4 4\nRow 20: 8 8 8 4\nRow 21: 4 4 4 4\nRow 22: 4 8 8 8\nRow 23: 4 4 4 4\nRow 24: 8 8 8 4\nRow 25: 4 4 4 4\nRow 26: 4 8 8 8\nPerfectly periodic: true\n\n=== Panel 4 Fixed (period 4) ===\nRow 2: 8 8 8 8\nRow 3: 8 9 8 8\nRow 4: 8 9 9 8\nRow 5: 8 9 8 8\nRow 6: 8 8 8 8\nRow 7: 8 9 8 8\nRow 8: 8 9 9 8\nRow 9: 8 9 8 8\nRow 10: 8 8 8 8\nRow 11: 8 9 8 8\nRow 12: 8 9 9 8\nRow 13: 8 9 8 8\nRow 14: 8 8 8 8\nRow 15: 8 9 8 8\nRow 16: 8 9 9 8\nRow 17: 8 9 8 8\nRow 18: 8 8 8 8\nRow 19: 8 9 8 8\nRow 20: 8 9 9 8\nRow 21: 8 9 8 8\nRow 22: 8 8 8 8\nRow 23: 8 9 8 8\nRow 24: 8 9 9 8\nRow 25: 8 9 8 8\nRow 26: 8 8 8 8\nPerfectly periodic: true", + "error": null + }, + { + "reasoning": "\n\nIteration 9 of 20. Remaining: 11.\nStatus: have candidate, need to build full output grid and verify on training examples\n\nAll panels are now perfectly periodic. The patterns look beautiful - zigzag diagonal for panel 2, rotating L-shape for panel 3, etc. Now I need to:\n1. Verify on training examples that this approach works\n2. Build the full output grid for the test\n\n```javascript\n// First verify on training examples\nfunction fixWithHorizontalPeriod(content, period) {\n // content is a 1D array (single row)\n const buckets = {};\n for (let i = 0; i < content.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][content[i]] = (buckets[pos][content[i]] || 0) + 1;\n }\n return content.map((_, i) => {\n const pos = i % period;\n return +Object.entries(buckets[pos]).sort((a, b) => b[1] - a[1])[0][0];\n });\n}\n\n// General approach: for a 2D content block, try both horizontal and vertical periods\n// and use whichever gives best result (or both combined as 2D tiling)\n\nfunction fixWith2DPeriod(content, vPeriod, hPeriod) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\n// Find best 2D period for a content block\nfunction findBest2DPeriod(content) {\n const H = content.length;\n const W = content[0].length;\n let bestScore = -1;\n let bestPeriod = null;\n \n for (let vp = 1; vp <= Math.min(H, 12); vp++) {\n for (let hp = 1; hp <= Math.min(W, 12); hp++) {\n const fixed = fixWith2DPeriod(content, vp, hp);\n // Check if perfectly periodic\n let periodic = true;\n for (let r = 0; r < H && periodic; r++) {\n for (let c = 0; c < W && periodic; c++) {\n if (fixed[r][c] !== fixed[r % vp][c % hp]) periodic = false;\n }\n }\n if (!periodic) continue;\n \n // Score: how many cells match original (prefer more matches = fewer corruptions needed)\n let matches = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n if (fixed[r][c] === content[r][c]) matches++;\n }\n }\n // Prefer smallest period that gives good match\n const score = matches * 1000 - vp * hp;\n if (score > bestScore) {\n bestScore = score;\n bestPeriod = { vp, hp, matches, total: H * W };\n }\n }\n }\n return bestPeriod;\n}\n\n// Verify on Train 0\nconsole.log(\"=== Train 0 Verification ===\");\nconst t0content = [train[0].input[2].slice(2, 11)]; // 1 row, 9 cols\nconst bp0 = findBest2DPeriod(t0content);\nconsole.log(\"Best period:\", bp0);\nconst fixed0 = fixWith2DPeriod(t0content, bp0.vp, bp0.hp);\nconst expected0 = [train[0].output[2].slice(2, 11)];\nconsole.log(\"Match:\", JSON.stringify(fixed0) === JSON.stringify(expected0));\n\n// Verify on Train 1\nconsole.log(\"\\n=== Train 1 Verification ===\");\n// Each block in Train 1\nconst t1blocks = [\n { rs: 2, re: 3, cs: 2, ce: 19 },\n { rs: 7, re: 8, cs: 2, ce: 19 },\n { rs: 12, re: 13, cs: 2, ce: 19 },\n { rs: 17, re: 18, cs: 2, ce: 19 },\n];\n\nfor (let b = 0; b < t1blocks.length; b++) {\n const bl = t1blocks[b];\n const content = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n content.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n }\n const bp = findBest2DPeriod(content);\n console.log(`Block ${b}: period vp=${bp.vp} hp=${bp.hp} matches=${bp.matches}/${bp.total}`);\n \n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n const expected = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n expected.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n }\n console.log(` Match output: ${JSON.stringify(fixed) === JSON.stringify(expected)}`);\n}\n```", + "code": [ + "// First verify on training examples\nfunction fixWithHorizontalPeriod(content, period) {\n // content is a 1D array (single row)\n const buckets = {};\n for (let i = 0; i < content.length; i++) {\n const pos = i % period;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][content[i]] = (buckets[pos][content[i]] || 0) + 1;\n }\n return content.map((_, i) => {\n const pos = i % period;\n return +Object.entries(buckets[pos]).sort((a, b) => b[1] - a[1])[0][0];\n });\n}\n\n// General approach: for a 2D content block, try both horizontal and vertical periods\n// and use whichever gives best result (or both combined as 2D tiling)\n\nfunction fixWith2DPeriod(content, vPeriod, hPeriod) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\n// Find best 2D period for a content block\nfunction findBest2DPeriod(content) {\n const H = content.length;\n const W = content[0].length;\n let bestScore = -1;\n let bestPeriod = null;\n \n for (let vp = 1; vp <= Math.min(H, 12); vp++) {\n for (let hp = 1; hp <= Math.min(W, 12); hp++) {\n const fixed = fixWith2DPeriod(content, vp, hp);\n // Check if perfectly periodic\n let periodic = true;\n for (let r = 0; r < H && periodic; r++) {\n for (let c = 0; c < W && periodic; c++) {\n if (fixed[r][c] !== fixed[r % vp][c % hp]) periodic = false;\n }\n }\n if (!periodic) continue;\n \n // Score: how many cells match original (prefer more matches = fewer corruptions needed)\n let matches = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n if (fixed[r][c] === content[r][c]) matches++;\n }\n }\n // Prefer smallest period that gives good match\n const score = matches * 1000 - vp * hp;\n if (score > bestScore) {\n bestScore = score;\n bestPeriod = { vp, hp, matches, total: H * W };\n }\n }\n }\n return bestPeriod;\n}\n\n// Verify on Train 0\nconsole.log(\"=== Train 0 Verification ===\");\nconst t0content = [train[0].input[2].slice(2, 11)]; // 1 row, 9 cols\nconst bp0 = findBest2DPeriod(t0content);\nconsole.log(\"Best period:\", bp0);\nconst fixed0 = fixWith2DPeriod(t0content, bp0.vp, bp0.hp);\nconst expected0 = [train[0].output[2].slice(2, 11)];\nconsole.log(\"Match:\", JSON.stringify(fixed0) === JSON.stringify(expected0));\n\n// Verify on Train 1\nconsole.log(\"\\n=== Train 1 Verification ===\");\n// Each block in Train 1\nconst t1blocks = [\n { rs: 2, re: 3, cs: 2, ce: 19 },\n { rs: 7, re: 8, cs: 2, ce: 19 },\n { rs: 12, re: 13, cs: 2, ce: 19 },\n { rs: 17, re: 18, cs: 2, ce: 19 },\n];\n\nfor (let b = 0; b < t1blocks.length; b++) {\n const bl = t1blocks[b];\n const content = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n content.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n }\n const bp = findBest2DPeriod(content);\n console.log(`Block ${b}: period vp=${bp.vp} hp=${bp.hp} matches=${bp.matches}/${bp.total}`);\n \n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n const expected = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n expected.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n }\n console.log(` Match output: ${JSON.stringify(fixed) === JSON.stringify(expected)}`);\n}" + ], + "output": "=== Train 0 Verification ===\nBest period: [object Object]\nMatch: false\n\n=== Train 1 Verification ===\nBlock 0: period vp=1 hp=3 matches=32/36\n Match output: true\nBlock 1: period vp=2 hp=12 matches=36/36\n Match output: false\nBlock 2: period vp=2 hp=4 matches=34/36\n Match output: true\nBlock 3: period vp=2 hp=12 matches=35/36\n Match output: false", + "error": null + }, + { + "reasoning": "\n\nIteration 10 of 20. Remaining: 10.\nStatus: have partial candidate, some blocks fail. Need to debug.\n\nSome blocks fail. The issue is with period selection - when there's a tie or the period detection picks a non-minimal period. Let me debug the failing cases.\n\n```javascript\n// Debug Train 0\nconst t0content = [train[0].input[2].slice(2, 11)];\nconsole.log(\"Train 0 content:\", t0content[0].join(' '));\nconsole.log(\"Train 0 expected:\", train[0].output[2].slice(2, 11).join(' '));\n\n// Try specific periods\nfor (let hp = 1; hp <= 5; hp++) {\n const fixed = fixWith2DPeriod(t0content, 1, hp);\n const expected = [train[0].output[2].slice(2, 11)];\n const match = JSON.stringify(fixed) === JSON.stringify(expected);\n \n let matches = 0;\n for (let c = 0; c < t0content[0].length; c++) {\n if (fixed[0][c] === t0content[0][c]) matches++;\n }\n console.log(`hp=${hp}: fixed=${fixed[0].join(' ')} matches=${matches}/9 output_match=${match}`);\n}\n\n// Debug Train 1 Block 1 (rows 7-8)\nconsole.log(\"\\n=== Train 1 Block 1 ===\");\nconst bl = { rs: 7, re: 8, cs: 2, ce: 19 };\nconst content1 = [];\nfor (let r = bl.rs; r <= bl.re; r++) {\n content1.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n}\nconst expected1 = [];\nfor (let r = bl.rs; r <= bl.re; r++) {\n expected1.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n}\nconsole.log(\"Input row 7:\", content1[0].join(' '));\nconsole.log(\"Input row 8:\", content1[1].join(' '));\nconsole.log(\"Expected row 7:\", expected1[0].join(' '));\nconsole.log(\"Expected row 8:\", expected1[1].join(' '));\n\n// Try hp=2\nfor (let hp = 1; hp <= 4; hp++) {\n const fixed = fixWith2DPeriod(content1, 2, hp);\n const match = JSON.stringify(fixed) === JSON.stringify(expected1);\n let cellMatches = 0;\n for (let r = 0; r < 2; r++) for (let c = 0; c < 18; c++) if (fixed[r][c] === content1[r][c]) cellMatches++;\n console.log(`vp=2 hp=${hp}: match=${match} cellMatches=${cellMatches}/36`);\n if (hp === 2) {\n console.log(\" Fixed row 7:\", fixed[0].join(' '));\n console.log(\" Fixed row 8:\", fixed[1].join(' '));\n }\n}\n\n// Debug Train 1 Block 3 (rows 17-18)\nconsole.log(\"\\n=== Train 1 Block 3 ===\");\nconst bl3 = { rs: 17, re: 18, cs: 2, ce: 19 };\nconst content3 = [];\nfor (let r = bl3.rs; r <= bl3.re; r++) {\n content3.push(train[1].input[r].slice(bl3.cs, bl3.ce + 1));\n}\nconst expected3 = [];\nfor (let r = bl3.rs; r <= bl3.re; r++) {\n expected3.push(train[1].output[r].slice(bl3.cs, bl3.ce + 1));\n}\nconsole.log(\"Input row 17:\", content3[0].join(' '));\nconsole.log(\"Input row 18:\", content3[1].join(' '));\nconsole.log(\"Expected row 17:\", expected3[0].join(' '));\nconsole.log(\"Expected row 18:\", expected3[1].join(' '));\n\nfor (let hp = 1; hp <= 4; hp++) {\n const fixed = fixWith2DPeriod(content3, 2, hp);\n const match = JSON.stringify(fixed) === JSON.stringify(expected3);\n console.log(`vp=2 hp=${hp}: match=${match}`);\n if (hp === 2) {\n console.log(\" Fixed row 17:\", fixed[0].join(' '));\n console.log(\" Fixed row 18:\", fixed[1].join(' '));\n }\n}\n```", + "code": [ + "// Debug Train 0\nconst t0content = [train[0].input[2].slice(2, 11)];\nconsole.log(\"Train 0 content:\", t0content[0].join(' '));\nconsole.log(\"Train 0 expected:\", train[0].output[2].slice(2, 11).join(' '));\n\n// Try specific periods\nfor (let hp = 1; hp <= 5; hp++) {\n const fixed = fixWith2DPeriod(t0content, 1, hp);\n const expected = [train[0].output[2].slice(2, 11)];\n const match = JSON.stringify(fixed) === JSON.stringify(expected);\n \n let matches = 0;\n for (let c = 0; c < t0content[0].length; c++) {\n if (fixed[0][c] === t0content[0][c]) matches++;\n }\n console.log(`hp=${hp}: fixed=${fixed[0].join(' ')} matches=${matches}/9 output_match=${match}`);\n}\n\n// Debug Train 1 Block 1 (rows 7-8)\nconsole.log(\"\\n=== Train 1 Block 1 ===\");\nconst bl = { rs: 7, re: 8, cs: 2, ce: 19 };\nconst content1 = [];\nfor (let r = bl.rs; r <= bl.re; r++) {\n content1.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n}\nconst expected1 = [];\nfor (let r = bl.rs; r <= bl.re; r++) {\n expected1.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n}\nconsole.log(\"Input row 7:\", content1[0].join(' '));\nconsole.log(\"Input row 8:\", content1[1].join(' '));\nconsole.log(\"Expected row 7:\", expected1[0].join(' '));\nconsole.log(\"Expected row 8:\", expected1[1].join(' '));\n\n// Try hp=2\nfor (let hp = 1; hp <= 4; hp++) {\n const fixed = fixWith2DPeriod(content1, 2, hp);\n const match = JSON.stringify(fixed) === JSON.stringify(expected1);\n let cellMatches = 0;\n for (let r = 0; r < 2; r++) for (let c = 0; c < 18; c++) if (fixed[r][c] === content1[r][c]) cellMatches++;\n console.log(`vp=2 hp=${hp}: match=${match} cellMatches=${cellMatches}/36`);\n if (hp === 2) {\n console.log(\" Fixed row 7:\", fixed[0].join(' '));\n console.log(\" Fixed row 8:\", fixed[1].join(' '));\n }\n}\n\n// Debug Train 1 Block 3 (rows 17-18)\nconsole.log(\"\\n=== Train 1 Block 3 ===\");\nconst bl3 = { rs: 17, re: 18, cs: 2, ce: 19 };\nconst content3 = [];\nfor (let r = bl3.rs; r <= bl3.re; r++) {\n content3.push(train[1].input[r].slice(bl3.cs, bl3.ce + 1));\n}\nconst expected3 = [];\nfor (let r = bl3.rs; r <= bl3.re; r++) {\n expected3.push(train[1].output[r].slice(bl3.cs, bl3.ce + 1));\n}\nconsole.log(\"Input row 17:\", content3[0].join(' '));\nconsole.log(\"Input row 18:\", content3[1].join(' '));\nconsole.log(\"Expected row 17:\", expected3[0].join(' '));\nconsole.log(\"Expected row 18:\", expected3[1].join(' '));\n\nfor (let hp = 1; hp <= 4; hp++) {\n const fixed = fixWith2DPeriod(content3, 2, hp);\n const match = JSON.stringify(fixed) === JSON.stringify(expected3);\n console.log(`vp=2 hp=${hp}: match=${match}`);\n if (hp === 2) {\n console.log(\" Fixed row 17:\", fixed[0].join(' '));\n console.log(\" Fixed row 18:\", fixed[1].join(' '));\n }\n}" + ], + "output": "Train 0 content: 1 3 1 3 1 3 3 3 1\nTrain 0 expected: 1 3 1 3 1 3 1 3 1\nhp=1: fixed=3 3 3 3 3 3 3 3 3 matches=5/9 output_match=false\nhp=2: fixed=1 3 1 3 1 3 1 3 1 matches=8/9 output_match=true\nhp=3: fixed=3 3 1 3 3 1 3 3 1 matches=6/9 output_match=false\nhp=4: fixed=1 3 1 3 1 3 1 3 1 matches=8/9 output_match=true\nhp=5: fixed=1 3 1 1 1 1 3 1 1 matches=6/9 output_match=false\n\n=== Train 1 Block 1 ===\nInput row 7: 1 4 1 4 1 4 1 1 1 4 1 4 1 4 1 4 1 4\nInput row 8: 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1\nExpected row 7: 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\nExpected row 8: 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1\nvp=2 hp=1: match=false cellMatches=19/36\nvp=2 hp=2: match=true cellMatches=35/36\n Fixed row 7: 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\n Fixed row 8: 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1\nvp=2 hp=3: match=false cellMatches=19/36\nvp=2 hp=4: match=true cellMatches=35/36\n\n=== Train 1 Block 3 ===\nInput row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 9\nInput row 18: 9 4 9 4 9 4 9 9 9 4 9 4 9 4 9 4 9 4\nExpected row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\nExpected row 18: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\nvp=2 hp=1: match=false\nvp=2 hp=2: match=true\n Fixed row 17: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\n Fixed row 18: 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4 9 4\nvp=2 hp=3: match=false\nvp=2 hp=4: match=true", + "error": null + }, + { + "reasoning": "\n\nIteration 11 of 20. Remaining: 9.\nStatus: approach works, need to fix period selection to prefer smallest period\n\nThe approach works perfectly - the issue was just my period selection algorithm. It was picking larger periods (like hp=12) instead of the smallest valid one (hp=2). I need to fix the period selection to prefer the smallest period. Let me update `findBest2DPeriod` and verify on all training examples.\n\n```javascript\nfunction fixWith2DPeriod(content, vPeriod, hPeriod) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nfunction findBest2DPeriod(content) {\n const H = content.length;\n const W = content[0].length;\n \n // For each candidate (vp, hp), check if majority-vote fix is perfectly periodic\n // AND changes fewer than half the cells (the pattern should be mostly correct)\n // Prefer smallest vp*hp (simplest pattern)\n \n for (let size = 1; size <= H * W; size++) {\n for (let vp = 1; vp <= Math.min(H, size); vp++) {\n for (let hp = 1; hp <= Math.min(W, size); hp++) {\n if (vp * hp !== size) continue;\n \n const fixed = fixWith2DPeriod(content, vp, hp);\n \n // Check if result is perfectly periodic\n let periodic = true;\n for (let r = 0; r < H && periodic; r++) {\n for (let c = 0; c < W && periodic; c++) {\n if (fixed[r][c] !== fixed[r % vp][c % hp]) periodic = false;\n }\n }\n if (!periodic) continue;\n \n // Check that we're not changing too many cells\n let changes = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n if (fixed[r][c] !== content[r][c]) changes++;\n }\n }\n \n // The period should explain most of the data\n const total = H * W;\n if (changes < total * 0.2) { // less than 20% changes\n return { vp, hp, changes, total };\n }\n }\n }\n }\n return { vp: H, hp: W, changes: 0, total: H * W }; // fallback: no period found\n}\n\n// Verify on all training examples\nconsole.log(\"=== FULL VERIFICATION ===\");\n\n// Train 0\nconst t0content = [train[0].input[2].slice(2, 11)];\nconst bp0 = findBest2DPeriod(t0content);\nconsole.log(\"Train 0 period:\", bp0);\nconst fixed0 = fixWith2DPeriod(t0content, bp0.vp, bp0.hp);\nconst exp0 = [train[0].output[2].slice(2, 11)];\nconsole.log(\"Train 0 match:\", JSON.stringify(fixed0) === JSON.stringify(exp0));\n\n// Train 1\nconst t1blocks = [\n { rs: 2, re: 3, cs: 2, ce: 19 },\n { rs: 7, re: 8, cs: 2, ce: 19 },\n { rs: 12, re: 13, cs: 2, ce: 19 },\n { rs: 17, re: 18, cs: 2, ce: 19 },\n];\n\nfor (let b = 0; b < t1blocks.length; b++) {\n const bl = t1blocks[b];\n const content = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n content.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n }\n const bp = findBest2DPeriod(content);\n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n const expected = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n expected.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n }\n console.log(`Train 1 Block ${b}: period vp=${bp.vp} hp=${bp.hp} changes=${bp.changes}/${bp.total} match=${JSON.stringify(fixed) === JSON.stringify(expected)}`);\n}\n```", + "code": [ + "function fixWith2DPeriod(content, vPeriod, hPeriod) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % vPeriod},${c % hPeriod}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nfunction findBest2DPeriod(content) {\n const H = content.length;\n const W = content[0].length;\n \n // For each candidate (vp, hp), check if majority-vote fix is perfectly periodic\n // AND changes fewer than half the cells (the pattern should be mostly correct)\n // Prefer smallest vp*hp (simplest pattern)\n \n for (let size = 1; size <= H * W; size++) {\n for (let vp = 1; vp <= Math.min(H, size); vp++) {\n for (let hp = 1; hp <= Math.min(W, size); hp++) {\n if (vp * hp !== size) continue;\n \n const fixed = fixWith2DPeriod(content, vp, hp);\n \n // Check if result is perfectly periodic\n let periodic = true;\n for (let r = 0; r < H && periodic; r++) {\n for (let c = 0; c < W && periodic; c++) {\n if (fixed[r][c] !== fixed[r % vp][c % hp]) periodic = false;\n }\n }\n if (!periodic) continue;\n \n // Check that we're not changing too many cells\n let changes = 0;\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n if (fixed[r][c] !== content[r][c]) changes++;\n }\n }\n \n // The period should explain most of the data\n const total = H * W;\n if (changes < total * 0.2) { // less than 20% changes\n return { vp, hp, changes, total };\n }\n }\n }\n }\n return { vp: H, hp: W, changes: 0, total: H * W }; // fallback: no period found\n}\n\n// Verify on all training examples\nconsole.log(\"=== FULL VERIFICATION ===\");\n\n// Train 0\nconst t0content = [train[0].input[2].slice(2, 11)];\nconst bp0 = findBest2DPeriod(t0content);\nconsole.log(\"Train 0 period:\", bp0);\nconst fixed0 = fixWith2DPeriod(t0content, bp0.vp, bp0.hp);\nconst exp0 = [train[0].output[2].slice(2, 11)];\nconsole.log(\"Train 0 match:\", JSON.stringify(fixed0) === JSON.stringify(exp0));\n\n// Train 1\nconst t1blocks = [\n { rs: 2, re: 3, cs: 2, ce: 19 },\n { rs: 7, re: 8, cs: 2, ce: 19 },\n { rs: 12, re: 13, cs: 2, ce: 19 },\n { rs: 17, re: 18, cs: 2, ce: 19 },\n];\n\nfor (let b = 0; b < t1blocks.length; b++) {\n const bl = t1blocks[b];\n const content = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n content.push(train[1].input[r].slice(bl.cs, bl.ce + 1));\n }\n const bp = findBest2DPeriod(content);\n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n const expected = [];\n for (let r = bl.rs; r <= bl.re; r++) {\n expected.push(train[1].output[r].slice(bl.cs, bl.ce + 1));\n }\n console.log(`Train 1 Block ${b}: period vp=${bp.vp} hp=${bp.hp} changes=${bp.changes}/${bp.total} match=${JSON.stringify(fixed) === JSON.stringify(expected)}`);\n}" + ], + "output": "=== FULL VERIFICATION ===\nTrain 0 period: [object Object]\nTrain 0 match: true\nTrain 1 Block 0: period vp=1 hp=3 changes=4/36 match=true\nTrain 1 Block 1: period vp=2 hp=2 changes=1/36 match=true\nTrain 1 Block 2: period vp=2 hp=4 changes=2/36 match=true\nTrain 1 Block 3: period vp=1 hp=2 changes=2/36 match=true", + "error": null + }, + { + "reasoning": "\n\nIteration 12 of 20. Remaining: 8.\nStatus: all training examples pass! Now build the full test output.\n\nAll training examples match. Now I need to build the complete test output. The approach:\n1. Start with a copy of the test input\n2. For each panel, find the content area, find the best 2D period, fix it with majority voting\n3. Write the fixed content back\n\nBut I need to generalize the panel/block detection. Let me think about how to automatically detect the content regions. For the test, the structure is clear: 4 panels separated by column dividers at 0,7,14,21,28 and row borders at 0,28. Each panel has a border of 3, and content inside.\n\n```javascript\n// Build the full test output\nfunction gridCopy(grid) { return grid.map(r => [...r]); }\n\nconst testIn = test[0].input;\nconst output = gridCopy(testIn);\n\n// I already know the test structure from analysis\n// 4 panels: cols 1-6, 8-13, 15-20, 22-27\n// Each has border of 3 at row 1, 27, and panel left/right cols\n// Content: rows 2-26, cols offset+2 to offset+5\n\n// But let me auto-detect the content for each panel\n// Content = cells that are NOT on the border (3) and not the outer frame (8)\n\n// Panel boundaries (inclusive)\nconst panelCols = [[1,6], [8,13], [15,20], [22,27]];\nconst panelRows = [1, 27]; // top and bottom border rows\n\n// For each panel, the border is the first/last row and first/last col of the panel\n// Content is everything inside\nconst panelDefs = panelCols.map(([cs, ce]) => ({\n contentRowStart: 2,\n contentRowEnd: 26,\n contentColStart: cs + 1,\n contentColEnd: ce - 1\n}));\n\nconsole.log(\"Panel content definitions:\", JSON.stringify(panelDefs));\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs[p];\n const content = [];\n for (let r = def.contentRowStart; r <= def.contentRowEnd; r++) {\n const row = [];\n for (let c = def.contentColStart; c <= def.contentColEnd; c++) {\n row.push(testIn[r][c]);\n }\n content.push(row);\n }\n \n const bp = findBest2DPeriod(content);\n console.log(`Panel ${p}: period vp=${bp.vp} hp=${bp.hp} changes=${bp.changes}/${bp.total}`);\n \n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n \n // Write back\n for (let r = def.contentRowStart; r <= def.contentRowEnd; r++) {\n for (let c = def.contentColStart; c <= def.contentColEnd; c++) {\n output[r][c] = fixed[r - def.contentRowStart][c - def.contentColStart];\n }\n }\n}\n\n// Verify: count total changes\nlet totalChanges = 0;\nfor (let r = 0; r < output.length; r++) {\n for (let c = 0; c < output[0].length; c++) {\n if (output[r][c] !== testIn[r][c]) totalChanges++;\n }\n}\nconsole.log(`Total cells changed: ${totalChanges}`);\n\n// Log the output for verification\nconsole.log(\"\\nOutput grid:\");\nfor (const row of output) {\n console.log(row.join(' '));\n}\n```", + "code": [ + "// Build the full test output\nfunction gridCopy(grid) { return grid.map(r => [...r]); }\n\nconst testIn = test[0].input;\nconst output = gridCopy(testIn);\n\n// I already know the test structure from analysis\n// 4 panels: cols 1-6, 8-13, 15-20, 22-27\n// Each has border of 3 at row 1, 27, and panel left/right cols\n// Content: rows 2-26, cols offset+2 to offset+5\n\n// But let me auto-detect the content for each panel\n// Content = cells that are NOT on the border (3) and not the outer frame (8)\n\n// Panel boundaries (inclusive)\nconst panelCols = [[1,6], [8,13], [15,20], [22,27]];\nconst panelRows = [1, 27]; // top and bottom border rows\n\n// For each panel, the border is the first/last row and first/last col of the panel\n// Content is everything inside\nconst panelDefs = panelCols.map(([cs, ce]) => ({\n contentRowStart: 2,\n contentRowEnd: 26,\n contentColStart: cs + 1,\n contentColEnd: ce - 1\n}));\n\nconsole.log(\"Panel content definitions:\", JSON.stringify(panelDefs));\n\nfor (let p = 0; p < 4; p++) {\n const def = panelDefs[p];\n const content = [];\n for (let r = def.contentRowStart; r <= def.contentRowEnd; r++) {\n const row = [];\n for (let c = def.contentColStart; c <= def.contentColEnd; c++) {\n row.push(testIn[r][c]);\n }\n content.push(row);\n }\n \n const bp = findBest2DPeriod(content);\n console.log(`Panel ${p}: period vp=${bp.vp} hp=${bp.hp} changes=${bp.changes}/${bp.total}`);\n \n const fixed = fixWith2DPeriod(content, bp.vp, bp.hp);\n \n // Write back\n for (let r = def.contentRowStart; r <= def.contentRowEnd; r++) {\n for (let c = def.contentColStart; c <= def.contentColEnd; c++) {\n output[r][c] = fixed[r - def.contentRowStart][c - def.contentColStart];\n }\n }\n}\n\n// Verify: count total changes\nlet totalChanges = 0;\nfor (let r = 0; r < output.length; r++) {\n for (let c = 0; c < output[0].length; c++) {\n if (output[r][c] !== testIn[r][c]) totalChanges++;\n }\n}\nconsole.log(`Total cells changed: ${totalChanges}`);\n\n// Log the output for verification\nconsole.log(\"\\nOutput grid:\");\nfor (const row of output) {\n console.log(row.join(' '));\n}" + ], + "output": "Panel content definitions: [{\"contentRowStart\":2,\"contentRowEnd\":26,\"contentColStart\":2,\"contentColEnd\":5},{\"contentRowStart\":2,\"contentRowEnd\":26,\"contentColStart\":9,\"contentColEnd\":12},{\"contentRowStart\":2,\"contentRowEnd\":26,\"contentColStart\":16,\"contentColEnd\":19},{\"contentRowStart\":2,\"contentRowEnd\":26,\"contentColStart\":23,\"contentColEnd\":26}]\nPanel 0: period vp=1 hp=3 changes=19/100\nPanel 1: period vp=2 hp=3 changes=19/100\nPanel 2: period vp=2 hp=1 changes=16/100\nPanel 3: period vp=1 hp=3 changes=15/100\nTotal cells changed: 69\n\nOutput grid:\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 8 3 8 3 8 9 8 8 3 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8", + "error": null + }, + { + "reasoning": "\n\nIteration 13 of 20. Remaining: 7.\nStatus: output looks WRONG - too many changes, lost the structure\n\nThis is clearly wrong - 69 changes is way too many. The problem is that my `findBest2DPeriod` is finding incorrect periods because the 20% threshold is too generous, and it's finding small periods that collapse the actual pattern. Let me go back to the manually-determined periods that I verified earlier.\n\n```javascript\n// Earlier I verified these periods work correctly:\n// Panel 1: period 3 (vertical), 1 change\n// Panel 2: period 6 (vertical), 2 changes \n// Panel 3: period 4 (vertical), 3 changes\n// Panel 4: period 4 (vertical), 2 changes\n\n// These were purely vertical periods applied to the 4-column content\n// The issue is my auto-detection is finding wrong periods\n\n// Let me use the manually verified periods and build output\n\nfunction fixWithVerticalPeriod2(content, period) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nconst testIn = test[0].input;\nconst outputGrid = testIn.map(r => [...r]);\n\nconst panelConfigs = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const cfg = panelConfigs[p];\n const content = [];\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) row.push(testIn[r][c]);\n content.push(row);\n }\n \n const fixed = fixWithVerticalPeriod2(content, cfg.period);\n \n // Write back\n for (let r = 2; r <= 26; r++) {\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) {\n outputGrid[r][c] = fixed[r - 2][c - cfg.colStart];\n }\n }\n}\n\n// Count changes\nlet changes = 0;\nfor (let r = 0; r < outputGrid.length; r++) {\n for (let c = 0; c < outputGrid[0].length; c++) {\n if (outputGrid[r][c] !== testIn[r][c]) changes++;\n }\n}\nconsole.log(`Total cells changed: ${changes}`);\n\n// Print output\nconsole.log(\"\\nOutput grid:\");\nfor (const row of outputGrid) {\n console.log(row.join(' '));\n}\n```", + "code": [ + "// Earlier I verified these periods work correctly:\n// Panel 1: period 3 (vertical), 1 change\n// Panel 2: period 6 (vertical), 2 changes \n// Panel 3: period 4 (vertical), 3 changes\n// Panel 4: period 4 (vertical), 2 changes\n\n// These were purely vertical periods applied to the 4-column content\n// The issue is my auto-detection is finding wrong periods\n\n// Let me use the manually verified periods and build output\n\nfunction fixWithVerticalPeriod2(content, period) {\n const H = content.length;\n const W = content[0].length;\n const buckets = {};\n for (let r = 0; r < H; r++) {\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n if (!buckets[key]) buckets[key] = {};\n buckets[key][content[r][c]] = (buckets[key][content[r][c]] || 0) + 1;\n }\n }\n const result = [];\n for (let r = 0; r < H; r++) {\n const row = [];\n for (let c = 0; c < W; c++) {\n const key = `${r % period},${c}`;\n const majority = Object.entries(buckets[key]).sort((a, b) => b[1] - a[1])[0][0];\n row.push(+majority);\n }\n result.push(row);\n }\n return result;\n}\n\nconst testIn = test[0].input;\nconst outputGrid = testIn.map(r => [...r]);\n\nconst panelConfigs = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const cfg = panelConfigs[p];\n const content = [];\n for (let r = 2; r <= 26; r++) {\n const row = [];\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) row.push(testIn[r][c]);\n content.push(row);\n }\n \n const fixed = fixWithVerticalPeriod2(content, cfg.period);\n \n // Write back\n for (let r = 2; r <= 26; r++) {\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) {\n outputGrid[r][c] = fixed[r - 2][c - cfg.colStart];\n }\n }\n}\n\n// Count changes\nlet changes = 0;\nfor (let r = 0; r < outputGrid.length; r++) {\n for (let c = 0; c < outputGrid[0].length; c++) {\n if (outputGrid[r][c] !== testIn[r][c]) changes++;\n }\n}\nconsole.log(`Total cells changed: ${changes}`);\n\n// Print output\nconsole.log(\"\\nOutput grid:\");\nfor (const row of outputGrid) {\n console.log(row.join(' '));\n}" + ], + "output": "Total cells changed: 9\n\nOutput grid:\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 8 8 8 8 3 8 3 8 8 8 1 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 2 2 8 3 8 3 8 8 1 8 3 8 3 8 8 8 4 3 8 3 8 9 9 8 3 8\n8 3 8 2 2 8 3 8 3 8 1 8 8 3 8 3 4 4 4 4 3 8 3 8 9 8 8 3 8\n8 3 8 8 8 8 3 8 3 1 8 8 8 3 8 3 4 8 8 8 3 8 3 8 8 8 8 3 8\n8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8 3 3 3 3 3 3 8\n8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8", + "error": null + }, + { + "reasoning": "\n\nIteration 14 of 20. Remaining: 6.\nStatus: have good candidate with 9 changes. Need to verify it looks correct.\n\n9 changes is much more reasonable. Let me verify the output looks correct by checking each panel's periodicity and also make sure I need to also verify my approach generalizes properly for the training examples with the same general method.\n\n```javascript\n// Let me verify the training examples work with a general approach that:\n// 1. Auto-detects the structure (borders, panels)\n// 2. For each panel, tries different vertical periods and picks the best\n\n// But first let me verify my test output is correct by checking periodicity of each panel\n\nconst outputGrid2 = outputGrid; // from previous iteration\n\n// Check each panel\nconst panelConfigs2 = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const cfg = panelConfigs2[p];\n let periodic = true;\n for (let r = 2; r <= 26; r++) {\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) {\n const baseR = 2 + ((r - 2) % cfg.period);\n if (outputGrid2[r][c] !== outputGrid2[baseR][c]) {\n periodic = false;\n console.log(`Panel ${p}: Non-periodic at row ${r}, col ${c}: ${outputGrid2[r][c]} vs ${outputGrid2[baseR][c]}`);\n }\n }\n }\n if (periodic) console.log(`Panel ${p}: Perfectly periodic with period ${cfg.period}`);\n}\n\n// Now let me also verify the training data more carefully\n// Train 0: need to figure out the structure\nconsole.log(\"\\n=== Verify Train 0 fully ===\");\nconst t0in = train[0].input;\nconst t0out = train[0].output;\nconsole.log(\"Dims:\", t0in.length, \"x\", t0in[0].length);\n// Structure: border of 3, inner border of 2, content row\n// Row 0: all 3s (border)\n// Row 1: 3 2 2 2 2 2 2 2 2 2 2 2 3 (inner border)\n// Row 2: 3 2 [content] 2 3\n// Row 3: 3 2 2 2 2 2 2 2 2 2 2 2 3 (inner border)\n// Row 4: all 3s (border)\n// Content is row 2, cols 2-10\n\n// Already verified this works with horizontal period 2.\n\n// Train 1: structure has horizontal blocks\n// Already verified all blocks work.\n\n// Now let me also check that I handle it correctly when applying to produce full output\nconsole.log(\"\\n=== Full Train 0 verification ===\");\nconst t0copy = t0in.map(r => [...r]);\nconst contentRow = t0in[2].slice(2, 11);\n// Find horizontal period using majority voting\nfor (let hp = 1; hp <= 9; hp++) {\n const buckets = {};\n for (let i = 0; i < contentRow.length; i++) {\n const pos = i % hp;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][contentRow[i]] = (buckets[pos][contentRow[i]] || 0) + 1;\n }\n const fixed = contentRow.map((_, i) => {\n const pos = i % hp;\n return +Object.entries(buckets[pos]).sort((a,b) => b[1]-a[1])[0][0];\n });\n // Check periodicity\n let periodic = true;\n for (let i = 0; i < fixed.length; i++) {\n if (fixed[i] !== fixed[i % hp]) { periodic = false; break; }\n }\n if (!periodic) continue;\n \n let changes = 0;\n for (let i = 0; i < contentRow.length; i++) if (fixed[i] !== contentRow[i]) changes++;\n if (changes < contentRow.length * 0.3 && changes > 0) {\n console.log(`hp=${hp}: changes=${changes} fixed=${fixed.join(' ')}`);\n }\n}\n\nconsole.log(\"\\nTest output looks good. Proceeding to return.\");\n```", + "code": [ + "// Let me verify the training examples work with a general approach that:\n// 1. Auto-detects the structure (borders, panels)\n// 2. For each panel, tries different vertical periods and picks the best\n\n// But first let me verify my test output is correct by checking periodicity of each panel\n\nconst outputGrid2 = outputGrid; // from previous iteration\n\n// Check each panel\nconst panelConfigs2 = [\n { colStart: 2, colEnd: 5, period: 3 },\n { colStart: 9, colEnd: 12, period: 6 },\n { colStart: 16, colEnd: 19, period: 4 },\n { colStart: 23, colEnd: 26, period: 4 },\n];\n\nfor (let p = 0; p < 4; p++) {\n const cfg = panelConfigs2[p];\n let periodic = true;\n for (let r = 2; r <= 26; r++) {\n for (let c = cfg.colStart; c <= cfg.colEnd; c++) {\n const baseR = 2 + ((r - 2) % cfg.period);\n if (outputGrid2[r][c] !== outputGrid2[baseR][c]) {\n periodic = false;\n console.log(`Panel ${p}: Non-periodic at row ${r}, col ${c}: ${outputGrid2[r][c]} vs ${outputGrid2[baseR][c]}`);\n }\n }\n }\n if (periodic) console.log(`Panel ${p}: Perfectly periodic with period ${cfg.period}`);\n}\n\n// Now let me also verify the training data more carefully\n// Train 0: need to figure out the structure\nconsole.log(\"\\n=== Verify Train 0 fully ===\");\nconst t0in = train[0].input;\nconst t0out = train[0].output;\nconsole.log(\"Dims:\", t0in.length, \"x\", t0in[0].length);\n// Structure: border of 3, inner border of 2, content row\n// Row 0: all 3s (border)\n// Row 1: 3 2 2 2 2 2 2 2 2 2 2 2 3 (inner border)\n// Row 2: 3 2 [content] 2 3\n// Row 3: 3 2 2 2 2 2 2 2 2 2 2 2 3 (inner border)\n// Row 4: all 3s (border)\n// Content is row 2, cols 2-10\n\n// Already verified this works with horizontal period 2.\n\n// Train 1: structure has horizontal blocks\n// Already verified all blocks work.\n\n// Now let me also check that I handle it correctly when applying to produce full output\nconsole.log(\"\\n=== Full Train 0 verification ===\");\nconst t0copy = t0in.map(r => [...r]);\nconst contentRow = t0in[2].slice(2, 11);\n// Find horizontal period using majority voting\nfor (let hp = 1; hp <= 9; hp++) {\n const buckets = {};\n for (let i = 0; i < contentRow.length; i++) {\n const pos = i % hp;\n if (!buckets[pos]) buckets[pos] = {};\n buckets[pos][contentRow[i]] = (buckets[pos][contentRow[i]] || 0) + 1;\n }\n const fixed = contentRow.map((_, i) => {\n const pos = i % hp;\n return +Object.entries(buckets[pos]).sort((a,b) => b[1]-a[1])[0][0];\n });\n // Check periodicity\n let periodic = true;\n for (let i = 0; i < fixed.length; i++) {\n if (fixed[i] !== fixed[i % hp]) { periodic = false; break; }\n }\n if (!periodic) continue;\n \n let changes = 0;\n for (let i = 0; i < contentRow.length; i++) if (fixed[i] !== contentRow[i]) changes++;\n if (changes < contentRow.length * 0.3 && changes > 0) {\n console.log(`hp=${hp}: changes=${changes} fixed=${fixed.join(' ')}`);\n }\n}\n\nconsole.log(\"\\nTest output looks good. Proceeding to return.\");" + ], + "output": "Panel 0: Perfectly periodic with period 3\nPanel 1: Perfectly periodic with period 6\nPanel 2: Perfectly periodic with period 4\nPanel 3: Perfectly periodic with period 4\n\n=== Verify Train 0 fully ===\nDims: 5 x 13\n\n=== Full Train 0 verification ===\nhp=2: changes=1 fixed=1 3 1 3 1 3 1 3 1\nhp=4: changes=1 fixed=1 3 1 3 1 3 1 3 1\nhp=6: changes=1 fixed=1 3 1 3 1 3 1 3 1\nhp=7: changes=2 fixed=1 1 1 3 1 3 3 1 1\n\nTest output looks good. Proceeding to return.", + "error": null + }, + { + "reasoning": "\n\nIteration 15 of 20. Remaining: 5.\nStatus: ready to return, all panels perfectly periodic, training verified\n\nAll panels are perfectly periodic and the training examples verify. Let me log the final answer and return it.\n\n```javascript\n// Final output - already computed in outputGrid\nconsole.log(\"ANSWER:\", JSON.stringify(outputGrid));\n```", + "code": [ + "// Final output - already computed in outputGrid\nconsole.log(\"ANSWER:\", JSON.stringify(outputGrid));" + ], + "output": "ANSWER: [[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,3,3,3,3,3,3,8,3,3,3,3,3,3,8,3,3,3,3,3,3,8,3,3,3,3,3,3,8],[8,3,8,8,8,8,3,8,3,1,8,8,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,8,8,8,3,8,3,8,8,8,1,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,8,8,8,3,8,3,1,8,8,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,8,8,8,3,8,3,8,8,8,1,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,8,8,8,3,8,3,1,8,8,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,8,8,8,3,8,3,8,8,8,1,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,8,8,8,3,8,3,1,8,8,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,8,8,8,8,3,8,3,8,8,8,1,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,2,2,8,3,8,3,8,8,1,8,3,8,3,8,8,8,4,3,8,3,8,9,9,8,3,8],[8,3,8,2,2,8,3,8,3,8,1,8,8,3,8,3,4,4,4,4,3,8,3,8,9,8,8,3,8],[8,3,8,8,8,8,3,8,3,1,8,8,8,3,8,3,4,8,8,8,3,8,3,8,8,8,8,3,8],[8,3,3,3,3,3,3,8,3,3,3,3,3,3,8,3,3,3,3,3,3,8,3,3,3,3,3,3,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8]]", + "error": null + }, + { + "reasoning": "\n\nIteration 16 of 20. Remaining: 4.\nStatus: ready to return, verified output\n\nThe output has been confirmed. All 4 panels are perfectly periodic with their respective periods, and only 9 cells were changed (the corrupted ones). Let me return the answer.\n\n```javascript\nreturn(JSON.stringify(outputGrid));\n```", + "code": [ + "return(JSON.stringify(outputGrid));" + ], + "output": "", + "error": null + } + ], + "wallTimeMs": 225446, + "charCount": { + "input": 1079485, + "output": 39819 + } + } + ], + "aggregate": { + "meanScore": 1, + "medianScore": 1, + "stdScore": 0, + "p25Score": 1, + "p75Score": 1, + "meanIterations": 16, + "medianIterations": 16, + "meanWallTimeMs": 225446, + "totalWallTimeMs": 225446, + "totalInputChars": 1079485, + "totalOutputChars": 39819, + "costEstimateUsd": 0, + "completedTasks": 1, + "failedTasks": 0 + } +} diff --git a/eval/prepare-trajectory-analysis.js b/eval/prepare-trajectory-analysis.js new file mode 100644 index 0000000..73a3947 --- /dev/null +++ b/eval/prepare-trajectory-analysis.js @@ -0,0 +1,260 @@ +#!/usr/bin/env node + +import { mkdirSync, readdirSync, readFileSync, rmSync, statSync, writeFileSync } from "node:fs"; +import { basename, dirname, join } from "node:path"; +import { fileURLToPath } from "node:url"; + +const evalDir = dirname(fileURLToPath(import.meta.url)); +const resultsDir = join(evalDir, "results"); +const outputDir = join(evalDir, "trajectory-analysis"); +const inputDir = join(outputDir, "input"); +const tasksDir = join(inputDir, "tasks"); + +function fail(message) { + console.error(`[prepare-trajectory-analysis] ${message}`); + process.exit(1); +} + +function latestResultFile() { + let best = null; + for (const entry of readdirSync(resultsDir, { withFileTypes: true })) { + if (!entry.isFile() || !entry.name.endsWith(".json")) continue; + const fullPath = join(resultsDir, entry.name); + const mtimeMs = statSync(fullPath).mtimeMs; + if (!best || mtimeMs > best.mtimeMs) { + best = { fullPath, mtimeMs }; + } + } + if (!best) { + fail(`No .json result files found in ${resultsDir}`); + } + return best.fullPath; +} + +function inferAnswerType(result, benchmark) { + const metadataAnswerType = result?.metadata?.answerType; + if (typeof metadataAnswerType === "string" && metadataAnswerType.length > 0) { + return metadataAnswerType; + } + + if (benchmark === "arc" || benchmark === "arc3" || benchmark === "arc-compound") { + return "ANSWER_TYPE.GRID"; + } + + const expected = Array.isArray(result.expected) ? result.expected[0] : result.expected; + if (typeof expected === "string" && /^-?\d+(?:\.\d+)?$/.test(expected.trim())) { + return "ANSWER_TYPE.NUMERIC"; + } + + return "ANSWER_TYPE.TEXT"; +} + +function classifyOutcome(score, error) { + if (score === 1) return "perfect"; + if (score > 0) return "partial"; + if (error) return "wrong/timeout/error"; + return "wrong/timeout/error"; +} + +function sanitizeTaskId(taskId) { + return String(taskId).replace(/[^a-zA-Z0-9._-]/g, "_"); +} + +function round(value) { + return Math.round(value * 10000) / 10000; +} + +function buildTraceFromEvents(result, index) { + if (!Array.isArray(result.events)) { + fail(`results[${index}] (${result.taskId}) is missing trace[] and events[]; refusing to continue without raw execution data`); + } + + const rootInvocation = + result.events.find((event) => event?.type === "invocation:start" && event?.parentId === null) + ?? result.events.find((event) => event?.type === "invocation:start"); + + if (!rootInvocation?.invocationId) { + fail(`results[${index}] (${result.taskId}) is missing a root invocation in events[]`); + } + + const rootInvocationId = rootInvocation.invocationId; + const byIteration = new Map(); + + for (const event of result.events) { + if (!event || typeof event !== "object") continue; + if (event.invocationId !== rootInvocationId) continue; + if (typeof event.iteration !== "number") continue; + + const entry = byIteration.get(event.iteration) ?? { + reasoning: "", + code: [], + output: "", + error: null, + }; + + if (event.type === "llm:response") { + if (typeof event.reasoning === "string") { + entry.reasoning = event.reasoning; + } + if (typeof event.code === "string" && event.code.length > 0) { + entry.code = [event.code]; + } + } + + if (event.type === "iteration:end") { + if (typeof event.output === "string") { + entry.output = event.output; + } + if (typeof event.error === "string" && event.error.length > 0) { + entry.error = event.error; + } + } + + byIteration.set(event.iteration, entry); + } + + const trace = [...byIteration.entries()] + .sort((a, b) => a[0] - b[0]) + .map(([, entry]) => entry); + + if (trace.length === 0) { + fail(`results[${index}] (${result.taskId}) produced no root iteration trace from events[]`); + } + + return trace; +} + +const sourceFile = latestResultFile(); +const raw = readFileSync(sourceFile, "utf8"); +let data; + +try { + data = JSON.parse(raw); +} catch (error) { + fail(`Failed to parse ${basename(sourceFile)}: ${error instanceof Error ? error.message : String(error)}`); +} + +if (!data || typeof data !== "object") fail("Parsed result is not an object"); +if (!Array.isArray(data.results)) fail("Result file is missing a results array"); +if (!data.benchmark || !data.model || !data.timestamp) { + fail("Result file is missing benchmark, model, or timestamp metadata"); +} + +rmSync(outputDir, { recursive: true, force: true }); +mkdirSync(tasksDir, { recursive: true }); + +const summaries = data.results.map((result, index) => { + if (!result || typeof result !== "object") { + fail(`results[${index}] is not an object`); + } + if (typeof result.taskId !== "string" || result.taskId.length === 0) { + fail(`results[${index}] is missing taskId`); + } + if (typeof result.score !== "number") { + fail(`results[${index}] (${result.taskId}) is missing numeric score`); + } + + const trace = Array.isArray(result.trace) ? result.trace : buildTraceFromEvents(result, index); + const taskId = result.taskId; + const safeTaskId = sanitizeTaskId(taskId); + const answerType = inferAnswerType(result, data.benchmark); + const iterations = typeof result.iterations === "number" ? result.iterations : trace.length; + const outcome = classifyOutcome(result.score, result.error); + const relativeTaskDir = `input/tasks/${safeTaskId}`; + const taskDir = join(tasksDir, safeTaskId); + const iterationsDir = join(taskDir, "iterations"); + mkdirSync(iterationsDir, { recursive: true }); + + const summaryPayload = { + benchmark: data.benchmark, + model: data.model, + timestamp: data.timestamp, + config: data.config ?? null, + taskId, + answerType, + outcome, + score: result.score, + iterations, + wallTimeMs: result.wallTimeMs ?? null, + answer: result.answer ?? null, + expected: result.expected ?? null, + error: result.error ?? null, + charCount: result.charCount ?? null, + metadata: result.metadata ?? null, + }; + + writeFileSync(join(taskDir, "summary.json"), `${JSON.stringify(summaryPayload, null, 2)}\n`); + + const iterationFiles = trace.map((entry, traceIndex) => { + const relativeIterationFile = `${relativeTaskDir}/iterations/${String(traceIndex + 1).padStart(2, "0")}.json`; + const iterationFile = join(iterationsDir, `${String(traceIndex + 1).padStart(2, "0")}.json`); + writeFileSync(iterationFile, `${JSON.stringify(entry, null, 2)}\n`); + return relativeIterationFile; + }); + + return { + taskId, + answerType, + outcome, + score: result.score, + iterations, + wallTimeMs: result.wallTimeMs ?? null, + error: result.error ?? null, + taskDir: relativeTaskDir, + summaryFile: `${relativeTaskDir}/summary.json`, + iterationFiles, + }; +}); + +const sample = summaries.map(({ taskId, answerType, outcome, score, iterations }) => ({ + taskId, + answerType, + outcome, + score, + iterations, +})); + +const aggregate = data.aggregate ?? {}; +const meta = { + benchmark: data.benchmark, + model: data.model, + timestamp: data.timestamp, + sampleSize: summaries.length, + meanScore: typeof aggregate.meanScore === "number" ? aggregate.meanScore : round(sample.reduce((sum, entry) => sum + entry.score, 0) / Math.max(sample.length, 1)), + medianScore: aggregate.medianScore ?? null, + stdScore: aggregate.stdScore ?? null, + totalWallTimeMs: aggregate.totalWallTimeMs ?? null, + config: data.config ?? null, + sourceResultFile: basename(sourceFile), +}; + +const manifest = { + benchmark: data.benchmark, + model: data.model, + timestamp: data.timestamp, + sourceResultFile: basename(sourceFile), + totalTasks: summaries.length, + config: data.config ?? null, + tasks: summaries, +}; + +writeFileSync(join(outputDir, "meta.json"), `${JSON.stringify(meta, null, 2)}\n`); +writeFileSync(join(outputDir, "sample.json"), `${JSON.stringify(sample, null, 2)}\n`); +writeFileSync(join(inputDir, "manifest.json"), `${JSON.stringify(manifest, null, 2)}\n`); + +const largestTask = summaries + .map((summary) => { + const bytes = summary.iterationFiles + .map((relativePath) => statSync(join(outputDir, relativePath)).size) + .reduce((sum, size) => sum + size, 0); + return { taskId: summary.taskId, bytes }; + }) + .sort((a, b) => b.bytes - a.bytes)[0]; + +console.log(`[prepare-trajectory-analysis] source: ${basename(sourceFile)}`); +console.log(`[prepare-trajectory-analysis] tasks: ${summaries.length}`); +console.log(`[prepare-trajectory-analysis] sample: ${join(outputDir, "sample.json")}`); +console.log(`[prepare-trajectory-analysis] manifest: ${join(inputDir, "manifest.json")}`); +if (largestTask) { + console.log(`[prepare-trajectory-analysis] largest task payload: ${largestTask.taskId} (${largestTask.bytes} bytes across iterations)`); +} diff --git a/eval/run.ts b/eval/run.ts index ca1139c..9b347e8 100644 --- a/eval/run.ts +++ b/eval/run.ts @@ -285,7 +285,6 @@ function resolveCallLLM(spec: string, reasoningEffort?: string): { callLLM: Call } function buildModelAliases(aliases: string[], apiKey: string): Record | undefined { - // Start with defaults const models: Record = {}; for (const [alias, def] of Object.entries(DEFAULT_MODEL_ALIASES)) { const modelId = stripOpenRouterPrefix(def.modelId); @@ -296,7 +295,6 @@ function buildModelAliases(aliases: string[], apiKey: string): Record