{
  "benchmark_name": "conv_21",
  "conversation_numbers": [
    21
  ],
  "script_source": "ALL_CONVERSATIONS benchmark fixture",
  "conversations": [
    {
      "conversation_number": 21,
      "source_reference": "ALL_CONVERSATIONS[20]",
      "llm_api_response_count": 7,
      "canned_tutor_response_count": 3,
      "turn_count": 7,
      "turns": [
        {
          "turn_index": 1,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 1,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\", \"action\": \"create_version\", \"params\": {\"target\": \"latest\", \"content\": \"# Test loop variable dependency propagation\\n\\ndef test_for_loop_with_api():\\n    \\\"\\\"\\\"Test for loop where iterations depend on API calls\\\"\\\"\\\"\\n    results = []\\n    \\n    # Get loop count from tutor API\\n    count = int(tutor.ask(\\\"How many iterations?\\\"))\\n    \\n    for i in range(count):\\n        # Each iteration depends on loop variable i\\n        # which depends on count from API\\n        item_name = f\\\"item_{i}\\\"\\n        \\n        # Nested API call within loop\\n        if i % 2 == 0:\\n            extra_data = memory.compute(f\\\"get_data_for_index({i})\\\")\\n            results.append({\\n                \\\"index\\\": i,\\n                \\\"name\\\": item_name,\\n                \\\"extra\\\": extra_data\\n            })\\n        else:\\n            results.append({\\n                \\\"index\\\": i,\\n                \\\"name\\\": item_name\\n            })\\n    \\n    return results\\n\\ndef test_while_loop_with_condition():\\n    \\\"\\\"\\\"Test while loop with API-dependent condition\\\"\\\"\\\"\\n    values = []\\n    counter = 0\\n    \\n    # Get threshold from memory\\n    threshold = memory.compute(\\\"get_threshold()\\\")\\n    if not isinstance(threshold, int):\\n        threshold = 10\\n    \\n    # Loop condition depends on API result\\n    while counter < threshold:\\n        # Loop body depends on condition - read message at counter index\\n        msg = conversation.read_message(str(counter))\\n        values.append(msg)\\n        counter += 1\\n    \\n    return {\\n        \\\"threshold\\\": threshold,\\n        \\\"values\\\": values,\\n        \\\"final_counter\\\": counter\\n    }\\n\\ndef test_nested_loops_with_dependencies():\\n    \\\"\\\"\\\"Test nested loops with cascading dependencies\\\"\\\"\\\"\\n    matrix = []\\n    \\n    # Outer loop count from API\\n    rows = int(tutor.ask(\\\"Number of rows?\\\"))\\n    \\n    for i in range(rows):\\n        row = []\\n        # Inner loop count depends on outer loop variable\\n        for j in range(i + 1):\\n            # Value depends on both loop variables\\n            # which trace back to API call\\n            value = memory.compute(\\\"get_max_value()\\\")\\n            row.append(value)\\n        matrix.append(row)\\n    \\n    return matrix\\n\\ndef test_loop_with_break_continue():\\n    \\\"\\\"\\\"Test loop control flow with break/continue\\\"\\\"\\\"\\n    processed = []\\n    skipped = []\\n    \\n    # Get control parameters from API\\n    max_value = memory.compute(\\\"get_max_value()\\\")\\n    skip_evens = memory.compute(\\\"should_skip_evens()\\\")\\n    \\n    for i in range(20):\\n        # Continue depends on API result\\n        if skip_evens and i % 2 == 0:\\n            skipped.append(i)\\n            continue\\n        \\n        # Break depends on API result\\n        if i > max_value:\\n            break\\n        \\n        # Only reached if no continue/break\\n        processed.append(i * 2)\\n    \\n    return {\\n        \\\"processed\\\": processed,\\n        \\\"skipped\\\": skipped,\\n        \\\"max_value\\\": max_value\\n    }\\n\\ndef test_comprehension_dependencies():\\n    \\\"\\\"\\\"Test list comprehension with API dependencies\\\"\\\"\\\"\\n    # Get filter criteria from API\\n    min_value = tutor.ask(\\\"Minimum value to include?\\\")\\n    min_value = int(min_value) if min_value.isdigit() else 0\\n    \\n    # Comprehension where filter depends on API\\n    filtered = [x ** 2 for x in range(10) if x >= min_value]\\n    \\n    # Nested comprehension with dependency\\n    matrix = [[i * j for j in range(3)] for i in range(min_value, min_value + 3)]\\n    \\n    return {\\n        \\\"min_value\\\": min_value,\\n        \\\"filtered\\\": filtered,\\n        \\\"matrix\\\": matrix\\n    }\", \"description\": \"Module testing loop variable dependency propagation\"}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "create_version",
            "params": {
              "target": "latest",
              "content": "# Test loop variable dependency propagation\n\ndef test_for_loop_with_api():\n    \"\"\"Test for loop where iterations depend on API calls\"\"\"\n    results = []\n    \n    # Get loop count from tutor API\n    count = int(tutor.ask(\"How many iterations?\"))\n    \n    for i in range(count):\n        # Each iteration depends on loop variable i\n        # which depends on count from API\n        item_name = f\"item_{i}\"\n        \n        # Nested API call within loop\n        if i % 2 == 0:\n            extra_data = memory.compute(f\"get_data_for_index({i})\")\n            results.append({\n                \"index\": i,\n                \"name\": item_name,\n                \"extra\": extra_data\n            })\n        else:\n            results.append({\n                \"index\": i,\n                \"name\": item_name\n            })\n    \n    return results\n\ndef test_while_loop_with_condition():\n    \"\"\"Test while loop with API-dependent condition\"\"\"\n    values = []\n    counter = 0\n    \n    # Get threshold from memory\n    threshold = memory.compute(\"get_threshold()\")\n    if not isinstance(threshold, int):\n        threshold = 10\n    \n    # Loop condition depends on API result\n    while counter < threshold:\n        # Loop body depends on condition - read message at counter index\n        msg = conversation.read_message(str(counter))\n        values.append(msg)\n        counter += 1\n    \n    return {\n        \"threshold\": threshold,\n        \"values\": values,\n        \"final_counter\": counter\n    }\n\ndef test_nested_loops_with_dependencies():\n    \"\"\"Test nested loops with cascading dependencies\"\"\"\n    matrix = []\n    \n    # Outer loop count from API\n    rows = int(tutor.ask(\"Number of rows?\"))\n    \n    for i in range(rows):\n        row = []\n        # Inner loop count depends on outer loop variable\n        for j in range(i + 1):\n            # Value depends on both loop variables\n            # which trace back to API call\n            value = memory.compute(\"get_max_value()\")\n            row.append(value)\n        matrix.append(row)\n    \n    return matrix\n\ndef test_loop_with_break_continue():\n    \"\"\"Test loop control flow with break/continue\"\"\"\n    processed = []\n    skipped = []\n    \n    # Get control parameters from API\n    max_value = memory.compute(\"get_max_value()\")\n    skip_evens = memory.compute(\"should_skip_evens()\")\n    \n    for i in range(20):\n        # Continue depends on API result\n        if skip_evens and i % 2 == 0:\n            skipped.append(i)\n            continue\n        \n        # Break depends on API result\n        if i > max_value:\n            break\n        \n        # Only reached if no continue/break\n        processed.append(i * 2)\n    \n    return {\n        \"processed\": processed,\n        \"skipped\": skipped,\n        \"max_value\": max_value\n    }\n\ndef test_comprehension_dependencies():\n    \"\"\"Test list comprehension with API dependencies\"\"\"\n    # Get filter criteria from API\n    min_value = tutor.ask(\"Minimum value to include?\")\n    min_value = int(min_value) if min_value.isdigit() else 0\n    \n    # Comprehension where filter depends on API\n    filtered = [x ** 2 for x in range(10) if x >= min_value]\n    \n    # Nested comprehension with dependency\n    matrix = [[i * j for j in range(3)] for i in range(min_value, min_value + 3)]\n    \n    return {\n        \"min_value\": min_value,\n        \"filtered\": filtered,\n        \"matrix\": matrix\n    }",
              "description": "Module testing loop variable dependency propagation"
            }
          }
        },
        {
          "turn_index": 2,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 2,
          "raw": "<<<API_CALL>>>{\"api\": \"memory\", \"action\": \"insert_node\", \"params\": {\"node\": \"def get_data_for_index(index):\\n    \\\"\\\"\\\"Get data based on index\\\"\\\"\\\"\\n    return f\\\"data_{index * 2}\\\"\\n\\ndef get_threshold():\\n    \\\"\\\"\\\"Get loop threshold\\\"\\\"\\\"\\n    return 2\\n\\ndef get_max_value():\\n    \\\"\\\"\\\"Get maximum value for loop\\\"\\\"\\\"\\n    return 12\\n\\ndef should_skip_evens():\\n    \\\"\\\"\\\"Whether to skip even numbers\\\"\\\"\\\"\\n    return True\\n\", \"position\": \"end\"}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "memory",
            "action": "insert_node",
            "params": {
              "node": "def get_data_for_index(index):\n    \"\"\"Get data based on index\"\"\"\n    return f\"data_{index * 2}\"\n\ndef get_threshold():\n    \"\"\"Get loop threshold\"\"\"\n    return 2\n\ndef get_max_value():\n    \"\"\"Get maximum value for loop\"\"\"\n    return 12\n\ndef should_skip_evens():\n    \"\"\"Whether to skip even numbers\"\"\"\n    return True\n",
              "position": "end"
            }
          }
        },
        {
          "turn_index": 3,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 3,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"test_for_loop_with_api()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "test_for_loop_with_api()",
              "version": 1
            }
          }
        },
        {
          "turn_index": 4,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 4,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"test_while_loop_with_condition()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "test_while_loop_with_condition()",
              "version": 1
            }
          }
        },
        {
          "turn_index": 5,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 5,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"test_nested_loops_with_dependencies()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "test_nested_loops_with_dependencies()",
              "version": 1
            }
          }
        },
        {
          "turn_index": 6,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 6,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"test_loop_with_break_continue()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "test_loop_with_break_continue()",
              "version": 1
            }
          }
        },
        {
          "turn_index": 7,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 7,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"test_comprehension_dependencies()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "test_comprehension_dependencies()",
              "version": 1
            }
          }
        }
      ],
      "unmatched_tutor_responses": [
        "3",
        "2",
        "2"
      ]
    }
  ]
}