diff --git a/results/ekur12-20260413-002606.json b/results/ekur12-20260413-002606.json new file mode 100644 index 0000000..47f061e --- /dev/null +++ b/results/ekur12-20260413-002606.json @@ -0,0 +1,4899 @@ +{ + "participants": { + "malt_operator": "019ba44f-9d1f-7ff3-8fbe-35c4ecfa40b2" + }, + "results": [ + { + "Query": "Add new node with name new_EK_PACKET_SWITCH_80 type EK_PACKET_SWITCH, to ju1.a4.dom. Return a graph.", + "Label": "capacity planning, level-1, add", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.01090348999999, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_80', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a4.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n new_node_id = 'new_EK_PACKET_SWITCH_80'\n parent_node_id = None\n # Find the parent node ju1.a4.dom\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a4.dom':\n parent_node_id = node[0]\n break\n # Add the new EK_PACKET_SWITCH node\n graph_copy.add_node(new_node_id, type=['EK_PACKET_SWITCH'])\n # Link the new node to the parent via RK_CONTAINS edge\n if parent_node_id:\n graph_copy.add_edge(parent_node_id, new_node_id, type='RK_CONTAINS')\n # Convert the updated graph to JSON\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "Error": "Two graphs are not identical.", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_80' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new node with name new_EK_PACKET_SWITCH_70 type EK_PACKET_SWITCH, to ju1.s1.dom. Return a graph.", + "Label": "capacity planning, level-1, add", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.4758879210000089, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_70', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.s1.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n new_node_id = 'new_EK_PACKET_SWITCH_70'\n parent_node_id = None\n \n # Find the parent node by name attribute\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s1.dom':\n parent_node_id = node[0]\n break\n\n # Add the new EK_PACKET_SWITCH node\n graph_copy.add_node(new_node_id, type=['EK_PACKET_SWITCH'])\n \n # Link the new node to the parent with RK_CONTAINS edge\n if parent_node_id:\n graph_copy.add_edge(parent_node_id, new_node_id, type='RK_CONTAINS')\n \n # Generate updated graph JSON\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n \n return return_object", + "Error": "Two graphs are not identical.", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_70' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new node with name new_EK_PACKET_SWITCH_2 type EK_PACKET_SWITCH, to ju1.a2.m1. Return a graph.", + "Label": "capacity planning, level-1, add", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.109840747000007, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_2', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a2.m1'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n new_node_id = 'new_EK_PACKET_SWITCH_2'\n new_node_attrs = {\n 'type': ['EK_PACKET_SWITCH'],\n 'name': 'new_EK_PACKET_SWITCH_2'\n }\n graph_copy.add_node(new_node_id, **new_node_attrs)\n graph_copy.add_edge('ju1.a2.m1', new_node_id, type='RK_CONTAINS')\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "Error": "Two graphs are not identical.", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_2' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new node with name new_EK_PACKET_SWITCH_59 type EK_PACKET_SWITCH, to ju1.s1.dom. Return a graph.", + "Label": "capacity planning, level-1, add", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 0.9547090150000059, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_59', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.s1.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_name = 'new_EK_PACKET_SWITCH_59'\n node_type = ['EK_PACKET_SWITCH']\n parent_name = 'ju1.s1.dom'\n \n # Add the new PACKET_SWITCH node\n graph_copy.add_node(node_name, name=node_name, type=node_type)\n \n # Add RK_CONTAINS edge from parent to the new node\n graph_copy.add_edge(parent_name, node_name, type='RK_CONTAINS')\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n \n return return_object", + "Error": "Two graphs are not identical.", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_59' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Rank all child nodes of EK_CONTROL_DOMAIN type ju1.s2.dom based on physical_capacity_bps attribute. Return a list of tuple, each tuple has child node name and its total physical capacity.", + "Label": "capacity planning, level-1, rank", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.476655100000002, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n parent_node_name = 'ju1.s2.dom'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n control_domain_node = None\n # Find the EK_CONTROL_DOMAIN node with name 'ju1.s2.dom'\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s2.dom' and 'EK_CONTROL_DOMAIN' in node[1]['type']:\n control_domain_node = node[0]\n break\n\n if not control_domain_node:\n return_object = {\n 'type': 'list',\n 'data': [],\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object\n\n # Find all direct child nodes of the control domain via RK_CONTAINS edges\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == control_domain_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node_data = graph_copy.nodes[edge[1]]\n child_name = child_node_data['name']\n # Calculate total physical capacity of the child by summing PORT capacities in its hierarchy\n total_capacity = 0\n # Using BFS to traverse all descendants of the child node\n queue = [edge[1]]\n visited = set()\n while queue:\n current = queue.pop(0)\n if current in visited:\n continue\n visited.add(current)\n current_attrs = graph_copy.nodes[current]\n if 'EK_PORT' in current_attrs['type']:\n total_capacity += current_attrs.get('physical_capacity_bps', 0)\n # Add all children of current node\n for succ in graph_copy.successors(current):\n if graph_copy.edges[current, succ]['type'] == 'RK_CONTAINS':\n queue.append(succ)\n child_nodes.append((child_name, total_capacity))\n\n # Sort child nodes by total physical capacity in descending order\n child_nodes.sort(key=lambda x: x[1], reverse=True)\n\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.s2.s1c1", + 16000000000.0 + ], + [ + "ju1.s2.s1c2", + 16000000000.0 + ], + [ + "ju1.s2.s1c3", + 16000000000.0 + ], + [ + "ju1.s2.s1c4", + 16000000000.0 + ], + [ + "ju1.s2.s1c5", + 16000000000.0 + ], + [ + "ju1.s2.s1c6", + 16000000000.0 + ], + [ + "ju1.s2.s1c7", + 16000000000.0 + ], + [ + "ju1.s2.s1c8", + 16000000000.0 + ], + [ + "ju1.s2.s2c1", + 16000000000.0 + ], + [ + "ju1.s2.s2c2", + 16000000000.0 + ], + [ + "ju1.s2.s2c3", + 16000000000.0 + ], + [ + "ju1.s2.s2c4", + 16000000000.0 + ], + [ + "ju1.s2.s2c5", + 16000000000.0 + ], + [ + "ju1.s2.s2c6", + 16000000000.0 + ], + [ + "ju1.s2.s2c7", + 16000000000.0 + ], + [ + "ju1.s2.s2c8", + 16000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.s2.s1c1", + 16000000000.0 + ], + [ + "ju1.s2.s1c2", + 16000000000.0 + ], + [ + "ju1.s2.s1c3", + 16000000000.0 + ], + [ + "ju1.s2.s1c4", + 16000000000.0 + ], + [ + "ju1.s2.s1c5", + 16000000000.0 + ], + [ + "ju1.s2.s1c6", + 16000000000.0 + ], + [ + "ju1.s2.s1c7", + 16000000000.0 + ], + [ + "ju1.s2.s1c8", + 16000000000.0 + ], + [ + "ju1.s2.s2c1", + 16000000000.0 + ], + [ + "ju1.s2.s2c2", + 16000000000.0 + ], + [ + "ju1.s2.s2c3", + 16000000000.0 + ], + [ + "ju1.s2.s2c4", + 16000000000.0 + ], + [ + "ju1.s2.s2c5", + 16000000000.0 + ], + [ + "ju1.s2.s2c6", + 16000000000.0 + ], + [ + "ju1.s2.s2c7", + 16000000000.0 + ], + [ + "ju1.s2.s2c8", + 16000000000.0 + ] + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Rank all child nodes of EK_AGG_BLOCK type ju1.a1.m4 based on physical_capacity_bps attribute. Return a list of tuple, each tuple has child node name and its total physical capacity.", + "Label": "capacity planning, level-1, rank", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.4201587700000005, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n parent_node_name = 'ju1.a1.m4'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n agg_block_node = None\n # Find the EK_AGG_BLOCK node with name 'ju1.a1.m4'\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a1.m4' and 'EK_AGG_BLOCK' in node[1]['type']:\n agg_block_node = node[0]\n break\n\n if not agg_block_node:\n return_object = {\n 'type': 'list',\n 'data': [],\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object\n\n # Find all direct child nodes (contained via RK_CONTAINS) of this EK_AGG_BLOCK\n child_capacities = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == agg_block_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n total_capacity = 0\n\n # Traverse down to all EK_PORT nodes under this child\n descendants = nx.descendants(graph_copy, child_node)\n for desc in descendants:\n desc_data = graph_copy.nodes[desc]\n if 'EK_PORT' in desc_data['type'] and 'physical_capacity_bps' in desc_data:\n total_capacity += desc_data['physical_capacity_bps']\n\n child_capacities.append((child_data['name'], total_capacity))\n\n # Sort the child nodes by total physical capacity in descending order\n sorted_children = sorted(child_capacities, key=lambda x: x[1], reverse=True)\n\n return_object = {\n 'type': 'list',\n 'data': sorted_children,\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.a1.m4.s2c1", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c2", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c3", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c4", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c5", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c6", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c7", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c8", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c1", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c2", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c3", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c4", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c5", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c6", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c7", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c8", + 16000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.a1.m4.s2c1", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c2", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c3", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c4", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c5", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c6", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c7", + 16000000000.0 + ], + [ + "ju1.a1.m4.s2c8", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c1", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c2", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c3", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c4", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c5", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c6", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c7", + 16000000000.0 + ], + [ + "ju1.a1.m4.s3c8", + 16000000000.0 + ] + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Rank all child nodes of EK_CONTROL_DOMAIN type ju1.s3.dom based on physical_capacity_bps attribute. Return a list of tuple, each tuple has child node name and its total physical capacity.", + "Label": "capacity planning, level-1, rank", + "Result-Correctness": "Fail", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 3.3978708509999933, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n parent_node_name = 'ju1.s3.dom'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n control_domain_node = None\n # Find the EK_CONTROL_DOMAIN node with name 'ju1.s3.dom'\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s3.dom' and 'EK_CONTROL_DOMAIN' in node[1]['type']:\n control_domain_node = node[0]\n break\n\n if not control_domain_node:\n return_object = {\n 'type': 'list',\n 'data': [],\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object\n\n # Find all direct child nodes (connected via RK_CONTAINS) of the control domain\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == control_domain_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node_data = graph_copy.nodes[edge[1]]\n child_name = child_node_data['name']\n\n # Calculate total physical capacity of the child node\n total_capacity = 0\n nodes_to_visit = [edge[1]]\n visited = set()\n while nodes_to_visit:\n current = nodes_to_visit.pop()\n if current in visited:\n continue\n visited.add(current)\n current_data = graph_copy.nodes[current]\n if 'EK_PORT' in current_data['type']:\n total_capacity += current_data.get('physical_capacity_bps', 0)\n # Add all contained nodes to the queue\n for succ in graph_copy.successors(current):\n succ_edge_type = None\n for neighbor, _, attr in graph_copy.edges(current, data=True):\n if neighbor == succ:\n succ_edge_type = attr['type']\n break\n if succ_edge_type == 'RK_CONTAINS':\n nodes_to_visit.append(succ)\n\n child_nodes.append((child_name, total_capacity))\n\n # Sort child nodes by total physical capacity in descending order\n child_nodes.sort(key=lambda x: x[1], reverse=True)\n\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.s3.s1c1", + 16000000000.0 + ], + [ + "ju1.s3.s1c2", + 16000000000.0 + ], + [ + "ju1.s3.s1c3", + 16000000000.0 + ], + [ + "ju1.s3.s1c4", + 16000000000.0 + ], + [ + "ju1.s3.s1c5", + 16000000000.0 + ], + [ + "ju1.s3.s1c6", + 16000000000.0 + ], + [ + "ju1.s3.s1c7", + 16000000000.0 + ], + [ + "ju1.s3.s1c8", + 16000000000.0 + ], + [ + "ju1.s3.s2c1", + 16000000000.0 + ], + [ + "ju1.s3.s2c2", + 16000000000.0 + ], + [ + "ju1.s3.s2c3", + 16000000000.0 + ], + [ + "ju1.s3.s2c4", + 16000000000.0 + ], + [ + "ju1.s3.s2c5", + 16000000000.0 + ], + [ + "ju1.s3.s2c6", + 16000000000.0 + ], + [ + "ju1.s3.s2c7", + 16000000000.0 + ], + [ + "ju1.s3.s2c8", + 16000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.s3.s1c1", + 0 + ], + [ + "ju1.s3.s1c2", + 0 + ], + [ + "ju1.s3.s1c3", + 0 + ], + [ + "ju1.s3.s1c4", + 0 + ], + [ + "ju1.s3.s1c5", + 0 + ], + [ + "ju1.s3.s1c6", + 0 + ], + [ + "ju1.s3.s1c7", + 0 + ], + [ + "ju1.s3.s1c8", + 0 + ], + [ + "ju1.s3.s2c1", + 0 + ], + [ + "ju1.s3.s2c2", + 0 + ], + [ + "ju1.s3.s2c3", + 0 + ], + [ + "ju1.s3.s2c4", + 0 + ], + [ + "ju1.s3.s2c5", + 0 + ], + [ + "ju1.s3.s2c6", + 0 + ], + [ + "ju1.s3.s2c7", + 0 + ], + [ + "ju1.s3.s2c8", + 0 + ] + ], + "Error": { + "Ground truth": [ + [ + "ju1.s3.s1c1", + 16000000000.0 + ], + [ + "ju1.s3.s1c2", + 16000000000.0 + ], + [ + "ju1.s3.s1c3", + 16000000000.0 + ], + [ + "ju1.s3.s1c4", + 16000000000.0 + ], + [ + "ju1.s3.s1c5", + 16000000000.0 + ], + [ + "ju1.s3.s1c6", + 16000000000.0 + ], + [ + "ju1.s3.s1c7", + 16000000000.0 + ], + [ + "ju1.s3.s1c8", + 16000000000.0 + ], + [ + "ju1.s3.s2c1", + 16000000000.0 + ], + [ + "ju1.s3.s2c2", + 16000000000.0 + ], + [ + "ju1.s3.s2c3", + 16000000000.0 + ], + [ + "ju1.s3.s2c4", + 16000000000.0 + ], + [ + "ju1.s3.s2c5", + 16000000000.0 + ], + [ + "ju1.s3.s2c6", + 16000000000.0 + ], + [ + "ju1.s3.s2c7", + 16000000000.0 + ], + [ + "ju1.s3.s2c8", + 16000000000.0 + ] + ], + "Model output": [ + [ + "ju1.s3.s1c1", + 0 + ], + [ + "ju1.s3.s1c2", + 0 + ], + [ + "ju1.s3.s1c3", + 0 + ], + [ + "ju1.s3.s1c4", + 0 + ], + [ + "ju1.s3.s1c5", + 0 + ], + [ + "ju1.s3.s1c6", + 0 + ], + [ + "ju1.s3.s1c7", + 0 + ], + [ + "ju1.s3.s1c8", + 0 + ], + [ + "ju1.s3.s2c1", + 0 + ], + [ + "ju1.s3.s2c2", + 0 + ], + [ + "ju1.s3.s2c3", + 0 + ], + [ + "ju1.s3.s2c4", + 0 + ], + [ + "ju1.s3.s2c5", + 0 + ], + [ + "ju1.s3.s2c6", + 0 + ], + [ + "ju1.s3.s2c7", + 0 + ], + [ + "ju1.s3.s2c8", + 0 + ] + ] + }, + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Rank all child nodes of EK_CONTROL_DOMAIN type ju1.a4.dom based on physical_capacity_bps attribute. Return a list of tuple, each tuple has child node name and its total physical capacity.", + "Label": "capacity planning, level-1, rank", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 3.1866766859999984, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n parent_node_name = 'ju1.a4.dom'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n control_domain_node = None\n # Find the EK_CONTROL_DOMAIN node with name 'ju1.a4.dom'\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a4.dom' and 'EK_CONTROL_DOMAIN' in node[1]['type']:\n control_domain_node = node[0]\n break\n\n if not control_domain_node:\n return_object = {\n 'type': 'list',\n 'data': [],\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object\n\n # Find all directly contained child nodes via RK_CONTAINS edge\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == control_domain_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n capacity = 0\n\n # Traverse down the hierarchy to sum all PORT physical_capacity_bps\n ports_in_subtree = nx.descendants(graph_copy, child_node)\n for descendant in ports_in_subtree:\n desc_data = graph_copy.nodes[descendant]\n if 'EK_PORT' in desc_data['type'] and 'physical_capacity_bps' in desc_data:\n capacity += desc_data['physical_capacity_bps']\n\n # Also check if the child itself is a PORT\n if 'EK_PORT' in child_data['type'] and 'physical_capacity_bps' in child_data:\n capacity += child_data['physical_capacity_bps']\n\n child_nodes.append((child_data['name'], capacity))\n\n # Sort by capacity descending\n child_nodes.sort(key=lambda 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"ju1.a4.m4.s3c8", + 16000000000.0 + ] + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a3.m4.s2c7.p5 from the graph. Return a graph.", + "Label": "capacity planning, level-1, remove", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.476690187999992, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a3.m4.s2c7.p5'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a3.m4.s2c7.p5':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a4.m2.s2c7.p12 from the graph. Return a graph.", + "Label": "capacity planning, level-1, remove", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.967645048999998, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a4.m2.s2c7.p12'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a4.m2.s2c7.p12':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a4.m2.s2c3.p16 from the graph. Return a graph.", + "Label": "capacity planning, level-1, remove", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.3461194070000033, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a4.m2.s2c3.p16'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a4.m2.s2c3.p16':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s1.s2c6 from the graph. Return a graph.", + "Label": "capacity planning, level-1, remove", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Fail", + "Result-Latency": 1.3480788130000008, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s1.s2c6'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n return_object = {'type': 'graph', 'data': graph_data}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s1.s2c6':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'graph',\n 'data': graph_json,\n 'updated_graph': graph_json\n }\n return return_object", + "Verifier-Error": "Found 16 isolated nodes: ju1.s1.s2c6.p1, ju1.s1.s2c6.p2, ju1.s1.s2c6.p3, ju1.s1.s2c6.p4, ju1.s1.s2c6.p5, ju1.s1.s2c6.p6, ju1.s1.s2c6.p7, ju1.s1.s2c6.p8, ju1.s1.s2c6.p9, ju1.s1.s2c6.p10, ju1.s1.s2c6.p11, ju1.s1.s2c6.p12, ju1.s1.s2c6.p13, ju1.s1.s2c6.p14, ju1.s1.s2c6.p15, ju1.s1.s2c6.p16", + "GT-Verifier-Error": "Found 16 isolated nodes: ju1.s1.s2c6.p1, ju1.s1.s2c6.p2, ju1.s1.s2c6.p3, ju1.s1.s2c6.p4, ju1.s1.s2c6.p5, ju1.s1.s2c6.p6, ju1.s1.s2c6.p7, ju1.s1.s2c6.p8, ju1.s1.s2c6.p9, ju1.s1.s2c6.p10, ju1.s1.s2c6.p11, ju1.s1.s2c6.p12, ju1.s1.s2c6.p13, ju1.s1.s2c6.p14, ju1.s1.s2c6.p15, ju1.s1.s2c6.p16", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "List all the child nodes of ju1.a2.m3rack. Return a list of child node names.", + "Label": "capacity planning, level-1, list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.3469589830000075, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n node = {'type': 'EK_RACK', 'name': 'ju1.a2.m3rack'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n child_nodes = []\n parent_name = 'ju1.a2.m3rack'\n \n # Iterate through edges to find children via RK_CONTAINS relationship\n for edge in graph_copy.edges(data=True):\n source, target, edge_data = edge\n if source == parent_name and edge_data.get('type') == 'RK_CONTAINS':\n target_node = graph_copy.nodes[target]\n child_nodes.append(target_node['name'])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a2.m3.s2c1", + "ju1.a2.m3.s2c2", + "ju1.a2.m3.s2c3", + "ju1.a2.m3.s2c4", + "ju1.a2.m3.s2c5", + "ju1.a2.m3.s2c6", + "ju1.a2.m3.s2c7", + "ju1.a2.m3.s2c8", + "ju1.a2.m3.s3c1", + "ju1.a2.m3.s3c2", + "ju1.a2.m3.s3c3", + "ju1.a2.m3.s3c4", + "ju1.a2.m3.s3c5", + "ju1.a2.m3.s3c6", + "ju1.a2.m3.s3c7", + "ju1.a2.m3.s3c8" + ], + "LLM code exec": [ + "ju1.a2.m3.s2c1", + "ju1.a2.m3.s2c2", + "ju1.a2.m3.s2c3", + "ju1.a2.m3.s2c4", + "ju1.a2.m3.s2c5", + "ju1.a2.m3.s2c6", + "ju1.a2.m3.s2c7", + "ju1.a2.m3.s2c8", + "ju1.a2.m3.s3c1", + "ju1.a2.m3.s3c2", + "ju1.a2.m3.s3c3", + "ju1.a2.m3.s3c4", + "ju1.a2.m3.s3c5", + "ju1.a2.m3.s3c6", + "ju1.a2.m3.s3c7", + "ju1.a2.m3.s3c8" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "List all the child nodes of ju1.a4.m2. Return a list of child node names.", + "Label": "capacity planning, level-1, list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 0.8615113020000251, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n node = {'type': 'EK_AGG_BLOCK', 'name': 'ju1.a4.m2'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n child_nodes = []\n parent_name = 'ju1.a4.m2'\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_name:\n child_nodes.append(graph_copy.nodes[edge[1]]['name'])\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a4.m2.s2c1", + "ju1.a4.m2.s2c2", + "ju1.a4.m2.s2c3", + "ju1.a4.m2.s2c4", + "ju1.a4.m2.s2c5", + "ju1.a4.m2.s2c6", + "ju1.a4.m2.s2c7", + "ju1.a4.m2.s2c8", + "ju1.a4.m2.s3c1", + "ju1.a4.m2.s3c2", + "ju1.a4.m2.s3c3", + "ju1.a4.m2.s3c4", + "ju1.a4.m2.s3c5", + "ju1.a4.m2.s3c6", + "ju1.a4.m2.s3c7", + "ju1.a4.m2.s3c8" + ], + "LLM code exec": [ + "ju1.a4.m2.s2c1", + "ju1.a4.m2.s2c2", + "ju1.a4.m2.s2c3", + "ju1.a4.m2.s2c4", + "ju1.a4.m2.s2c5", + "ju1.a4.m2.s2c6", + "ju1.a4.m2.s2c7", + "ju1.a4.m2.s2c8", + "ju1.a4.m2.s3c1", + "ju1.a4.m2.s3c2", + "ju1.a4.m2.s3c3", + "ju1.a4.m2.s3c4", + "ju1.a4.m2.s3c5", + "ju1.a4.m2.s3c6", + "ju1.a4.m2.s3c7", + "ju1.a4.m2.s3c8" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "List all the child nodes of ju1.s3.dom. Return a list of child node names.", + "Label": "capacity planning, level-1, list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 0.9751473419999854, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n node = {'type': 'EK_CONTROL_DOMAIN', 'name': 'ju1.s3.dom'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n child_nodes = []\n parent_name = 'ju1.s3.dom'\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_name and edge[2]['type'] == 'RK_CONTAINS':\n child_nodes.append(graph_copy.nodes[edge[1]]['name'])\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.s3.s1c1", + "ju1.s3.s1c2", + "ju1.s3.s1c3", + "ju1.s3.s1c4", + "ju1.s3.s1c5", + "ju1.s3.s1c6", + "ju1.s3.s1c7", + "ju1.s3.s1c8", + "ju1.s3.s2c1", + "ju1.s3.s2c2", + "ju1.s3.s2c3", + "ju1.s3.s2c4", + "ju1.s3.s2c5", + "ju1.s3.s2c6", + "ju1.s3.s2c7", + "ju1.s3.s2c8" + ], + "LLM code exec": [ + "ju1.s3.s1c1", + "ju1.s3.s1c2", + "ju1.s3.s1c3", + "ju1.s3.s1c4", + "ju1.s3.s1c5", + "ju1.s3.s1c6", + "ju1.s3.s1c7", + "ju1.s3.s1c8", + "ju1.s3.s2c1", + "ju1.s3.s2c2", + "ju1.s3.s2c3", + "ju1.s3.s2c4", + "ju1.s3.s2c5", + "ju1.s3.s2c6", + "ju1.s3.s2c7", + "ju1.s3.s2c8" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "List all the child nodes of ju1.s2rack. Return a list of child node names.", + "Label": "capacity planning, level-1, list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.0607023609999828, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n node = {'type': 'EK_RACK', 'name': 'ju1.s2rack'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n child_nodes = []\n parent_name = 'ju1.s2rack'\n \n # Find all edges where the parent node is the source and the relationship is containment\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_name and edge[2].get('type') == 'RK_CONTAINS':\n child_nodes.append(graph_copy.nodes[edge[1]]['name'])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.s2.s1c1", + "ju1.s2.s1c2", + "ju1.s2.s1c3", + "ju1.s2.s1c4", + "ju1.s2.s1c5", + "ju1.s2.s1c6", + "ju1.s2.s1c7", + "ju1.s2.s1c8", + "ju1.s2.s2c1", + "ju1.s2.s2c2", + "ju1.s2.s2c3", + "ju1.s2.s2c4", + "ju1.s2.s2c5", + "ju1.s2.s2c6", + "ju1.s2.s2c7", + "ju1.s2.s2c8" + ], + "LLM code exec": [ + "ju1.s2.s1c1", + "ju1.s2.s1c2", + "ju1.s2.s1c3", + "ju1.s2.s1c4", + "ju1.s2.s1c5", + "ju1.s2.s1c6", + "ju1.s2.s1c7", + "ju1.s2.s1c8", + "ju1.s2.s2c1", + "ju1.s2.s2c2", + "ju1.s2.s2c3", + "ju1.s2.s2c4", + "ju1.s2.s2c5", + "ju1.s2.s2c6", + "ju1.s2.s2c7", + "ju1.s2.s2c8" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a3.m4.s3c5.p1 from the graph. List direct child nodes of ju1.a3.m4.s3c5 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-2, remove-list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.4493030000000147, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a3.m4.s3c5.p1'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node = {\"type\": \"EK_CONTROL_DOMAIN\", \"name\": 'ju1.a3.m4.s3c5'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove the node ju1.a3.m4.s3c5.p1 if it exists\n node_to_remove = 'ju1.a3.m4.s3c5.p1'\n if node_to_remove in graph_copy.nodes:\n graph_copy.remove_node(node_to_remove)\n \n # Find the direct child nodes of ju1.a3.m4.s3c5 via RK_CONTAINS edges\n child_nodes = []\n parent_node = 'ju1.a3.m4.s3c5'\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_node and edge[2].get('type') == 'RK_CONTAINS':\n child_nodes.append(edge[1])\n \n # Prepare the return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a3.m4.s3c5.p2", + "ju1.a3.m4.s3c5.p3", + "ju1.a3.m4.s3c5.p4", + "ju1.a3.m4.s3c5.p5", + "ju1.a3.m4.s3c5.p6", + "ju1.a3.m4.s3c5.p7", + "ju1.a3.m4.s3c5.p8", + "ju1.a3.m4.s3c5.p9", + "ju1.a3.m4.s3c5.p10", + "ju1.a3.m4.s3c5.p11", + "ju1.a3.m4.s3c5.p12", + "ju1.a3.m4.s3c5.p13", + "ju1.a3.m4.s3c5.p14", + "ju1.a3.m4.s3c5.p15", + "ju1.a3.m4.s3c5.p16" + ], + "LLM code exec": [ + "ju1.a3.m4.s3c5.p2", + "ju1.a3.m4.s3c5.p3", + "ju1.a3.m4.s3c5.p4", + "ju1.a3.m4.s3c5.p5", + "ju1.a3.m4.s3c5.p6", + "ju1.a3.m4.s3c5.p7", + "ju1.a3.m4.s3c5.p8", + "ju1.a3.m4.s3c5.p9", + "ju1.a3.m4.s3c5.p10", + "ju1.a3.m4.s3c5.p11", + "ju1.a3.m4.s3c5.p12", + "ju1.a3.m4.s3c5.p13", + "ju1.a3.m4.s3c5.p14", + "ju1.a3.m4.s3c5.p15", + "ju1.a3.m4.s3c5.p16" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a1.m1.s3c5.p5 from the graph. List direct child nodes of ju1.a1.m1.s3c5 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-2, remove-list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.7650274029999764, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a1.m1.s3c5.p5'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node = {\"type\": \"EK_CONTROL_DOMAIN\", \"name\": 'ju1.a1.m1.s3c5'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove the specified node\n node_to_remove = 'ju1.a1.m1.s3c5.p5'\n if node_to_remove in graph_copy:\n graph_copy.remove_node(node_to_remove)\n \n # Find direct child nodes of ju1.a1.m1.s3c5 in the updated graph\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == 'ju1.a1.m1.s3c5' and edge[2]['type'] == 'RK_CONTAINS':\n child_nodes.append(edge[1])\n \n # Prepare the return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a1.m1.s3c5.p1", + "ju1.a1.m1.s3c5.p2", + "ju1.a1.m1.s3c5.p3", + "ju1.a1.m1.s3c5.p4", + "ju1.a1.m1.s3c5.p6", + "ju1.a1.m1.s3c5.p7", + "ju1.a1.m1.s3c5.p8", + "ju1.a1.m1.s3c5.p9", + "ju1.a1.m1.s3c5.p10", + "ju1.a1.m1.s3c5.p11", + "ju1.a1.m1.s3c5.p12", + "ju1.a1.m1.s3c5.p13", + "ju1.a1.m1.s3c5.p14", + "ju1.a1.m1.s3c5.p15", + "ju1.a1.m1.s3c5.p16" + ], + "LLM code exec": [ + "ju1.a1.m1.s3c5.p1", + "ju1.a1.m1.s3c5.p2", + "ju1.a1.m1.s3c5.p3", + "ju1.a1.m1.s3c5.p4", + "ju1.a1.m1.s3c5.p6", + "ju1.a1.m1.s3c5.p7", + "ju1.a1.m1.s3c5.p8", + "ju1.a1.m1.s3c5.p9", + "ju1.a1.m1.s3c5.p10", + "ju1.a1.m1.s3c5.p11", + "ju1.a1.m1.s3c5.p12", + "ju1.a1.m1.s3c5.p13", + "ju1.a1.m1.s3c5.p14", + "ju1.a1.m1.s3c5.p15", + "ju1.a1.m1.s3c5.p16" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s2.s2c2.p9 from the graph. List direct child nodes of ju1.s2.s2c2 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-2, remove-list", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.0655661599999746, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s2.s2c2.p9'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node = {\"type\": \"EK_AGG_BLOCK\", \"name\": 'ju1.s2.s2c2'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove node ju1.s2.s2c2.p9 if exists\n node_to_remove = 'ju1.s2.s2c2.p9'\n if node_to_remove in graph_copy:\n graph_copy.remove_node(node_to_remove)\n \n # Find direct child nodes of ju1.s2.s2c2 via RK_CONTAINS edges\n child_nodes = []\n for u, v, edge_data in graph_copy.edges(data=True):\n if u == 'ju1.s2.s2c2' and edge_data.get('type') == 'RK_CONTAINS':\n child_nodes.append(graph_copy.nodes[v]['name'])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n \n return return_object", + "Ground truth exec": [ + "ju1.s2.s2c2.p1", + "ju1.s2.s2c2.p2", + "ju1.s2.s2c2.p3", + "ju1.s2.s2c2.p4", + "ju1.s2.s2c2.p5", + "ju1.s2.s2c2.p6", + "ju1.s2.s2c2.p7", + "ju1.s2.s2c2.p8", + "ju1.s2.s2c2.p10", + "ju1.s2.s2c2.p11", + "ju1.s2.s2c2.p12", + "ju1.s2.s2c2.p13", + "ju1.s2.s2c2.p14", + "ju1.s2.s2c2.p15", + "ju1.s2.s2c2.p16" + ], + "LLM code exec": [ + "ju1.s2.s2c2.p1", + "ju1.s2.s2c2.p2", + "ju1.s2.s2c2.p3", + "ju1.s2.s2c2.p4", + "ju1.s2.s2c2.p5", + "ju1.s2.s2c2.p6", + "ju1.s2.s2c2.p7", + "ju1.s2.s2c2.p8", + "ju1.s2.s2c2.p10", + "ju1.s2.s2c2.p11", + "ju1.s2.s2c2.p12", + "ju1.s2.s2c2.p13", + "ju1.s2.s2c2.p14", + "ju1.s2.s2c2.p15", + "ju1.s2.s2c2.p16" + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s1.s1c8 from the graph. List direct child nodes of ju1.s1 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-2, remove-list", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.698013350999986, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s1.s1c8'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node = {\"type\": \"EK_AGG_BLOCK\", \"name\": 'ju1.s1'}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove node with name 'ju1.s1.s1c8'\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s1.s1c8':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n \n # Find direct child nodes of 'ju1.s1' via RK_CONTAINS edges\n children = []\n for edge in graph_copy.edges(data=True):\n parent = edge[0]\n child = edge[1]\n edge_type = edge[2]['type']\n parent_node_data = graph_copy.nodes[parent]\n if parent_node_data['name'] == 'ju1.s1' and edge_type == 'RK_CONTAINS':\n child_node_data = graph_copy.nodes[child]\n children.append(child_node_data['name'])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'list',\n 'data': children,\n 'updated_graph': graph_json\n }\n \n return return_object", + "Ground truth exec": [ + "ju1.s1.s1c1", + "ju1.s1.s1c2", + "ju1.s1.s1c3", + "ju1.s1.s1c4", + "ju1.s1.s1c5", + "ju1.s1.s1c6", + "ju1.s1.s1c7", + "ju1.s1.s2c1", + "ju1.s1.s2c2", + "ju1.s1.s2c3", + "ju1.s1.s2c4", + "ju1.s1.s2c5", + "ju1.s1.s2c6", + "ju1.s1.s2c7", + "ju1.s1.s2c8" + ], + "LLM code exec": [ + "ju1.s1.s1c1", + "ju1.s1.s1c2", + "ju1.s1.s1c3", + "ju1.s1.s1c4", + "ju1.s1.s1c5", + "ju1.s1.s1c6", + "ju1.s1.s1c7", + "ju1.s1.s2c1", + "ju1.s1.s2c2", + "ju1.s1.s2c3", + "ju1.s1.s2c4", + "ju1.s1.s2c5", + "ju1.s1.s2c6", + "ju1.s1.s2c7", + "ju1.s1.s2c8" + ], + "Verifier-Error": "Found 16 isolated nodes: ju1.s1.s1c8.p1, ju1.s1.s1c8.p2, ju1.s1.s1c8.p3, ju1.s1.s1c8.p4, ju1.s1.s1c8.p5, ju1.s1.s1c8.p6, ju1.s1.s1c8.p7, ju1.s1.s1c8.p8, ju1.s1.s1c8.p9, ju1.s1.s1c8.p10, ju1.s1.s1c8.p11, ju1.s1.s1c8.p12, ju1.s1.s1c8.p13, ju1.s1.s1c8.p14, ju1.s1.s1c8.p15, ju1.s1.s1c8.p16", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a4.m1.s3c8.p11 from the graph. Rank direct child nodes of ju1.a4.m1.s3c8 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-2, remove-rank", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 4.388464690000006, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a4.m1.s3c8.p11'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n parent_node_name = 'ju1.a4.m1.s3c8'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove the specified node\n node_to_remove = 'ju1.a4.m1.s3c8.p11'\n if node_to_remove in graph_copy:\n graph_copy.remove_node(node_to_remove)\n \n # Find the node ju1.a4.m1.s3c8\n target_node = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a4.m1.s3c8':\n target_node = node[0]\n break\n \n # If the node doesn't exist or has no children, return empty list\n if not target_node:\n return_object = {\n 'type': 'list',\n 'data': [],\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object\n \n # Find direct child nodes (via RK_CONTAINS edge)\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == target_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node_data = graph_copy.nodes[edge[1]]\n capacity = child_node_data.get('physical_capacity_bps', 0)\n # If the child is a container (e.g., PACKET_SWITCH), sum capacities of contained PORTs\n if 'EK_PACKET_SWITCH' in child_node_data['type'] or 'EK_AGG_BLOCK' in child_node_data['type']:\n contained_ports = []\n for downstream_edge in graph_copy.edges(data=True):\n if downstream_edge[0] == edge[1] and downstream_edge[2]['type'] == 'RK_CONTAINS':\n downstream_node_data = graph_copy.nodes[downstream_edge[1]]\n if 'EK_PORT' in downstream_node_data['type']:\n contained_ports.append(downstream_node_data.get('physical_capacity_bps', 0))\n capacity = sum(contained_ports)\n elif 'EK_PORT' in child_node_data['type']:\n capacity = child_node_data.get('physical_capacity_bps', 0)\n else:\n capacity = 0 # Other node types may not have capacity\n child_nodes.append((child_node_data['name'], capacity))\n \n # Sort by physical capacity in descending order\n child_nodes.sort(key=lambda x: x[1], reverse=True)\n \n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.a4.m1.s3c8.p1", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p2", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p3", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p4", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p5", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p6", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p7", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p8", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p9", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p10", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p12", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p13", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p14", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p15", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p16", + 1000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.a4.m1.s3c8.p1", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p2", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p3", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p4", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p5", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p6", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p7", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p8", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p9", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p10", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p12", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p13", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p14", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p15", + 1000000000.0 + ], + [ + "ju1.a4.m1.s3c8.p16", + 1000000000.0 + ] + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a2.m4.s2c2.p12 from the graph. Rank direct child nodes of ju1.a2.m4.s2c2 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-2, remove-rank", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.767902171000003, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a2.m4.s2c2.p12'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n parent_node_name = 'ju1.a2.m4.s2c2'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n\n # Remove the specified node\n node_to_remove = 'ju1.a2.m4.s2c2.p12'\n if node_to_remove in graph_copy.nodes:\n graph_copy.remove_node(node_to_remove)\n\n # Find direct children of ju1.a2.m4.s2c2\n target_parent = 'ju1.a2.m4.s2c2'\n children = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == target_parent and edge[2]['type'] == 'RK_CONTAINS':\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n # Sum the physical_capacity_bps of all PORTs contained in this child (including recursively)\n total_capacity = 0\n nodes_to_check = [child_node]\n while nodes_to_check:\n current = nodes_to_check.pop()\n current_data = graph_copy.nodes[current]\n if 'EK_PORT' in current_data['type']:\n total_capacity += current_data.get('physical_capacity_bps', 0)\n else:\n # Add all contained nodes\n for out_edge in graph_copy.edges(current, data=True):\n if out_edge[2]['type'] == 'RK_CONTAINS':\n nodes_to_check.append(out_edge[1])\n children.append((child_node, total_capacity))\n\n # Sort children by total physical capacity in descending order\n children.sort(key=lambda x: x[1], reverse=True)\n\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'list',\n 'data': children,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.a2.m4.s2c2.p1", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p2", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p3", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p4", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p5", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p6", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p7", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p8", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p9", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p10", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p11", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p13", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p14", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p15", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p16", + 1000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.a2.m4.s2c2.p1", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p2", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p3", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p4", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p5", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p6", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p7", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p8", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p9", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p10", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p11", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p13", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p14", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p15", + 1000000000.0 + ], + [ + "ju1.a2.m4.s2c2.p16", + 1000000000.0 + ] + ], + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a2.m3.s3c8.p3 from the graph. Rank direct child nodes of ju1.a2.m3.s3c8 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-2, remove-rank", + "Result-Correctness": "Fail", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.729259294000002, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a2.m3.s3c8.p3'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n parent_node_name = 'ju1.a2.m3.s3c8'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n\n graph_copy = graph_data.copy()\n \n # Remove the specified node\n node_to_remove = 'ju1.a2.m3.s3c8.p3'\n if node_to_remove in graph_copy:\n graph_copy.remove_node(node_to_remove)\n \n # Find the parent node 'ju1.a2.m3.s3c8' and collect its direct children (RK_CONTAINS edges)\n target_parent = 'ju1.a2.m3.s3c8'\n child_capacities = []\n\n # Iterate through outgoing edges from the target parent\n for edge in graph_copy.out_edges(target_parent, data=True):\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n # Sum up physical_capacity_bps for all PORTs contained in this child (recursive containment)\n capacity = 0\n descendants = nx.descendants(graph_copy, child_node)\n for desc in descendants:\n desc_data = graph_copy.nodes[desc]\n if 'EK_PORT' in desc_data['type'] and 'physical_capacity_bps' in desc_data:\n capacity += desc_data['physical_capacity_bps']\n child_capacities.append((child_data['name'], capacity))\n \n # Sort the list of tuples by physical capacity in descending order\n sorted_child_capacities = sorted(child_capacities, key=lambda x: x[1], reverse=True)\n \n # Prepare return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': sorted_child_capacities,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.a2.m3.s3c8.p1", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p2", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p4", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p5", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p6", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p7", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p8", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p9", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p10", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p11", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p12", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p13", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p14", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p15", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p16", + 1000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.a2.m3.s3c8", + 15000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p1", + 0 + ], + [ + "ju1.a2.m3.s3c8.p2", + 0 + ], + [ + "ju1.a2.m3.s3c8.p4", + 0 + ], + [ + "ju1.a2.m3.s3c8.p5", + 0 + ], + [ + "ju1.a2.m3.s3c8.p6", + 0 + ], + [ + "ju1.a2.m3.s3c8.p7", + 0 + ], + [ + "ju1.a2.m3.s3c8.p8", + 0 + ], + [ + "ju1.a2.m3.s3c8.p9", + 0 + ], + [ + "ju1.a2.m3.s3c8.p10", + 0 + ], + [ + "ju1.a2.m3.s3c8.p11", + 0 + ], + [ + "ju1.a2.m3.s3c8.p12", + 0 + ], + [ + "ju1.a2.m3.s3c8.p13", + 0 + ], + [ + "ju1.a2.m3.s3c8.p14", + 0 + ], + [ + "ju1.a2.m3.s3c8.p15", + 0 + ], + [ + "ju1.a2.m3.s3c8.p16", + 0 + ] + ], + "Error": { + "Ground truth": [ + [ + "ju1.a2.m3.s3c8.p1", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p2", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p4", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p5", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p6", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p7", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p8", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p9", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p10", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p11", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p12", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p13", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p14", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p15", + 1000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p16", + 1000000000.0 + ] + ], + "Model output": [ + [ + "ju1.a2.m3.s3c8", + 15000000000.0 + ], + [ + "ju1.a2.m3.s3c8.p1", + 0 + ], + [ + "ju1.a2.m3.s3c8.p2", + 0 + ], + [ + "ju1.a2.m3.s3c8.p4", + 0 + ], + [ + "ju1.a2.m3.s3c8.p5", + 0 + ], + [ + "ju1.a2.m3.s3c8.p6", + 0 + ], + [ + "ju1.a2.m3.s3c8.p7", + 0 + ], + [ + "ju1.a2.m3.s3c8.p8", + 0 + ], + [ + "ju1.a2.m3.s3c8.p9", + 0 + ], + [ + "ju1.a2.m3.s3c8.p10", + 0 + ], + [ + "ju1.a2.m3.s3c8.p11", + 0 + ], + [ + "ju1.a2.m3.s3c8.p12", + 0 + ], + [ + "ju1.a2.m3.s3c8.p13", + 0 + ], + [ + "ju1.a2.m3.s3c8.p14", + 0 + ], + [ + "ju1.a2.m3.s3c8.p15", + 0 + ], + [ + "ju1.a2.m3.s3c8.p16", + 0 + ] + ] + }, + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s1.s2c4.p14 from the graph. Rank direct child nodes of ju1.s1.s2c4 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-2, remove-rank", + "Result-Correctness": "Fail", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.211117502999997, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s1.s2c4.p14'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n parent_node_name = 'ju1.s1.s2c4'\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove node ju1.s1.s2c4.p14 if exists\n node_to_remove = 'ju1.s1.s2c4.p14'\n if node_to_remove in graph_copy:\n graph_copy.remove_node(node_to_remove)\n \n # Find direct child nodes of ju1.s1.s2c4 via RK_CONTAINS edges\n parent = 'ju1.s1.s2c4'\n children = []\n for u, v, edge_data in graph_copy.edges(data=True):\n if u == parent and edge_data.get('type') == 'RK_CONTAINS':\n child_node = graph_copy.nodes[v]\n # Sum physical_capacity_bps from all PORTs contained in this child (via hierarchy)\n total_capacity = 0\n descendants = nx.descendants(graph_copy, v)\n for desc in descendants:\n desc_node = graph_copy.nodes[desc]\n if 'EK_PORT' in desc_node.get('type', []) and 'physical_capacity_bps' in desc_node:\n total_capacity += desc_node['physical_capacity_bps']\n children.append((v, total_capacity))\n \n # Rank children by total physical capacity (descending)\n ranked_children = sorted(children, key=lambda x: x[1], reverse=True)\n \n # Prepare return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': ranked_children,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.s1.s2c4.p1", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p2", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p3", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p4", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p5", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p6", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p7", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p8", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p9", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p10", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p11", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p12", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p13", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p15", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p16", + 1000000000.0 + ] + ], + "LLM code exec": [ + [ + "ju1.s1.s2c4.p1", + 0 + ], + [ + "ju1.s1.s2c4.p2", + 0 + ], + [ + "ju1.s1.s2c4.p3", + 0 + ], + [ + "ju1.s1.s2c4.p4", + 0 + ], + [ + "ju1.s1.s2c4.p5", + 0 + ], + [ + "ju1.s1.s2c4.p6", + 0 + ], + [ + "ju1.s1.s2c4.p7", + 0 + ], + [ + "ju1.s1.s2c4.p8", + 0 + ], + [ + "ju1.s1.s2c4.p9", + 0 + ], + [ + "ju1.s1.s2c4.p10", + 0 + ], + [ + "ju1.s1.s2c4.p11", + 0 + ], + [ + "ju1.s1.s2c4.p12", + 0 + ], + [ + "ju1.s1.s2c4.p13", + 0 + ], + [ + "ju1.s1.s2c4.p15", + 0 + ], + [ + "ju1.s1.s2c4.p16", + 0 + ] + ], + "Error": { + "Ground truth": [ + [ + "ju1.s1.s2c4.p1", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p2", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p3", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p4", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p5", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p6", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p7", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p8", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p9", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p10", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p11", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p12", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p13", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p15", + 1000000000.0 + ], + [ + "ju1.s1.s2c4.p16", + 1000000000.0 + ] + ], + "Model output": [ + [ + "ju1.s1.s2c4.p1", + 0 + ], + [ + "ju1.s1.s2c4.p2", + 0 + ], + [ + "ju1.s1.s2c4.p3", + 0 + ], + [ + "ju1.s1.s2c4.p4", + 0 + ], + [ + "ju1.s1.s2c4.p5", + 0 + ], + [ + "ju1.s1.s2c4.p6", + 0 + ], + [ + "ju1.s1.s2c4.p7", + 0 + ], + [ + "ju1.s1.s2c4.p8", + 0 + ], + [ + "ju1.s1.s2c4.p9", + 0 + ], + [ + "ju1.s1.s2c4.p10", + 0 + ], + [ + "ju1.s1.s2c4.p11", + 0 + ], + [ + "ju1.s1.s2c4.p12", + 0 + ], + [ + "ju1.s1.s2c4.p13", + 0 + ], + [ + "ju1.s1.s2c4.p15", + 0 + ], + [ + "ju1.s1.s2c4.p16", + 0 + ] + ] + }, + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a3.m2.s3c4.p3 from the graph. Count the EK_PORT in ju1.a3.m2.s3c4 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-2, remove-count", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.6517097079999985, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a3.m2.s3c4.p3'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node1 = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.a3.m2.s3c4\"}\n node2 = {\"type\": \"EK_PORT\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a3.m2.s3c4.p3':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n \n count = 0\n parent_node_id = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a3.m2.s3c4' and 'EK_PACKET_SWITCH' in node[1]['type']:\n parent_node_id = node[0]\n break\n \n if parent_node_id:\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_node_id and edge[2]['type'] == 'RK_CONTAINS':\n child_node = graph_copy.nodes[edge[1]]\n if 'EK_PORT' in child_node['type']:\n count += 1\n\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": "15", + "LLM code exec": "15", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s4.s1c6 from the graph. Count the EK_PACKET_SWITCH in ju1.s4 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-2, remove-count", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 0.9551723140000092, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s4.s1c6'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node1 = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.s4\"}\n node2 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s4.s1c6':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n \n count = 0\n for node in graph_copy.nodes(data=True):\n if 'EK_PACKET_SWITCH' in node[1]['type'] and 'name' in node[1] and node[1]['name'].startswith('ju1.s4.'):\n count += 1\n \n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n return return_object", + "Ground truth exec": "15", + "LLM code exec": "15", + "Verifier-Error": "Found 16 isolated nodes: ju1.s4.s1c6.p1, ju1.s4.s1c6.p2, ju1.s4.s1c6.p3, ju1.s4.s1c6.p4, ju1.s4.s1c6.p5, ju1.s4.s1c6.p6, ju1.s4.s1c6.p7, ju1.s4.s1c6.p8, ju1.s4.s1c6.p9, ju1.s4.s1c6.p10, ju1.s4.s1c6.p11, ju1.s4.s1c6.p12, ju1.s4.s1c6.p13, ju1.s4.s1c6.p14, ju1.s4.s1c6.p15, ju1.s4.s1c6.p16", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.a2.m3.s3c5.p15 from the graph. Count the EK_PORT in ju1.a2.m3.s3c5 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-2, remove-count", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.1595101239999792, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.a2.m3.s3c5.p15'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node1 = {\"type\": \"EK_CONTROL_DOMAIN\", \"name\": \"ju1.a2.m3.s3c5\"}\n node2 = {\"type\": \"EK_PORT\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a2.m3.s3c5.p15':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n \n count = 0\n parent_node_id = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a2.m3.s3c5':\n parent_node_id = node[0]\n break\n \n if parent_node_id:\n successors = graph_copy.successors(parent_node_id)\n for succ in successors:\n succ_node = graph_copy.nodes[succ]\n if 'EK_PORT' in succ_node['type']:\n count += 1\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": "15", + "LLM code exec": "15", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Remove ju1.s3.s2c2 from the graph. Count the EK_PACKET_SWITCH in ju1.s3 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-2, remove-count", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.3257006240000067, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n child_node_name = 'ju1.s3.s2c2'\n graph_data = solid_step_remove_node_from_graph(graph_data, child_node_name)\n node1 = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.s3\"}\n node2 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Remove node ju1.s3.s2c2 if it exists\n node_to_remove = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.s3.s2c2':\n node_to_remove = node[0]\n break\n if node_to_remove:\n graph_copy.remove_node(node_to_remove)\n \n # Count EK_PACKET_SWITCH nodes under 'ju1.s3' in the updated graph\n count = 0\n for node in graph_copy.nodes(data=True):\n node_name = node[1]['name']\n if 'EK_PACKET_SWITCH' in node[1]['type'] and node_name.startswith('ju1.s3.'):\n count += 1\n \n # Prepare return object\n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n \n return return_object", + "Ground truth exec": "15", + "LLM code exec": "15", + "Verifier-Error": "Found 16 isolated nodes: ju1.s3.s2c2.p1, ju1.s3.s2c2.p2, ju1.s3.s2c2.p3, ju1.s3.s2c2.p4, ju1.s3.s2c2.p5, ju1.s3.s2c2.p6, ju1.s3.s2c2.p7, ju1.s3.s2c2.p8, ju1.s3.s2c2.p9, ju1.s3.s2c2.p10, ju1.s3.s2c2.p11, ju1.s3.s2c2.p12, ju1.s3.s2c2.p13, ju1.s3.s2c2.p14, ju1.s3.s2c2.p15, ju1.s3.s2c2.p16", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PACKET_SWITCH_3 to ju1.a3.m3. List direct child nodes of ju1.a3.m3 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-3, add-list", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.2380453780000096, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_3', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a3.m3'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.a3.m3\"}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n new_node_id = 'new_EK_PACKET_SWITCH_3'\n graph_copy.add_node(new_node_id, name=new_node_id, type=['EK_PACKET_SWITCH'])\n graph_copy.add_edge('ju1.a3.m3', new_node_id, type='RK_CONTAINS')\n \n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == 'ju1.a3.m3' and edge[2]['type'] == 'RK_CONTAINS':\n child_nodes.append(graph_copy.nodes[edge[1]]['name'])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a3.m3.s2c1", + "ju1.a3.m3.s2c2", + "ju1.a3.m3.s2c3", + "ju1.a3.m3.s2c4", + "ju1.a3.m3.s2c5", + "ju1.a3.m3.s2c6", + "ju1.a3.m3.s2c7", + "ju1.a3.m3.s2c8", + "ju1.a3.m3.s3c1", + "ju1.a3.m3.s3c2", + "ju1.a3.m3.s3c3", + "ju1.a3.m3.s3c4", + "ju1.a3.m3.s3c5", + "ju1.a3.m3.s3c6", + "ju1.a3.m3.s3c7", + "ju1.a3.m3.s3c8", + "new_EK_PACKET_SWITCH_3" + ], + "LLM code exec": [ + "ju1.a3.m3.s2c1", + "ju1.a3.m3.s2c2", + "ju1.a3.m3.s2c3", + "ju1.a3.m3.s2c4", + "ju1.a3.m3.s2c5", + "ju1.a3.m3.s2c6", + "ju1.a3.m3.s2c7", + "ju1.a3.m3.s2c8", + "ju1.a3.m3.s3c1", + "ju1.a3.m3.s3c2", + "ju1.a3.m3.s3c3", + "ju1.a3.m3.s3c4", + "ju1.a3.m3.s3c5", + "ju1.a3.m3.s3c6", + "ju1.a3.m3.s3c7", + "ju1.a3.m3.s3c8", + "new_EK_PACKET_SWITCH_3" + ], + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_3' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PACKET_SWITCH_10 to ju1.a3.m4. List direct child nodes of ju1.a3.m4 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-3, add-list", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.1603632910000101, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_10', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a3.m4'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.a3.m4\"}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n new_node_id = 'new_EK_PACKET_SWITCH_10'\n graph_copy.add_node(new_node_id, type=['EK_PACKET_SWITCH'])\n graph_copy.add_edge('ju1.a3.m4', new_node_id, type='RK_CONTAINS')\n \n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == 'ju1.a3.m4' and edge[2]['type'] == 'RK_CONTAINS':\n child_nodes.append(edge[1])\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a3.m4.s2c1", + "ju1.a3.m4.s2c2", + "ju1.a3.m4.s2c3", + "ju1.a3.m4.s2c4", + "ju1.a3.m4.s2c5", + "ju1.a3.m4.s2c6", + "ju1.a3.m4.s2c7", + "ju1.a3.m4.s2c8", + "ju1.a3.m4.s3c1", + "ju1.a3.m4.s3c2", + "ju1.a3.m4.s3c3", + "ju1.a3.m4.s3c4", + "ju1.a3.m4.s3c5", + "ju1.a3.m4.s3c6", + "ju1.a3.m4.s3c7", + "ju1.a3.m4.s3c8", + "new_EK_PACKET_SWITCH_10" + ], + "LLM code exec": [ + "ju1.a3.m4.s2c1", + "ju1.a3.m4.s2c2", + "ju1.a3.m4.s2c3", + "ju1.a3.m4.s2c4", + "ju1.a3.m4.s2c5", + "ju1.a3.m4.s2c6", + "ju1.a3.m4.s2c7", + "ju1.a3.m4.s2c8", + "ju1.a3.m4.s3c1", + "ju1.a3.m4.s3c2", + "ju1.a3.m4.s3c3", + "ju1.a3.m4.s3c4", + "ju1.a3.m4.s3c5", + "ju1.a3.m4.s3c6", + "ju1.a3.m4.s3c7", + "ju1.a3.m4.s3c8", + "new_EK_PACKET_SWITCH_10" + ], + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_10' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PACKET_SWITCH_2 to ju1.a3.m2. List direct child nodes of ju1.a3.m2 in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-3, add-list", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.093617024999986, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_2', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a3.m2'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.a3.m2\"}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new EK_PACKET_SWITCH_2 node\n new_node_id = 'new_EK_PACKET_SWITCH_2'\n graph_copy.add_node(new_node_id, type=['EK_PACKET_SWITCH'], name='new_EK_PACKET_SWITCH_2')\n \n # Add containment edge from ju1.a3.m2 to the new packet switch\n parent_node_id = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a3.m2':\n parent_node_id = node[0]\n break\n if parent_node_id:\n graph_copy.add_edge(parent_node_id, new_node_id, type='RK_CONTAINS')\n \n # Find all direct child nodes under ju1.a3.m2 (i.e., nodes that are contained directly by ju1.a3.m2)\n child_nodes = []\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_node_id and edge[2]['type'] == 'RK_CONTAINS':\n child_node_data = graph_copy.nodes[edge[1]]\n child_nodes.append(child_node_data['name'])\n \n # Prepare the return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.a3.m2.s2c1", + "ju1.a3.m2.s2c2", + "ju1.a3.m2.s2c3", + "ju1.a3.m2.s2c4", + "ju1.a3.m2.s2c5", + "ju1.a3.m2.s2c6", + "ju1.a3.m2.s2c7", + "ju1.a3.m2.s2c8", + "ju1.a3.m2.s3c1", + "ju1.a3.m2.s3c2", + "ju1.a3.m2.s3c3", + "ju1.a3.m2.s3c4", + "ju1.a3.m2.s3c5", + "ju1.a3.m2.s3c6", + "ju1.a3.m2.s3c7", + "ju1.a3.m2.s3c8", + "new_EK_PACKET_SWITCH_2" + ], + "LLM code exec": [ + "ju1.a3.m2.s2c1", + "ju1.a3.m2.s2c2", + "ju1.a3.m2.s2c3", + "ju1.a3.m2.s2c4", + "ju1.a3.m2.s2c5", + "ju1.a3.m2.s2c6", + "ju1.a3.m2.s2c7", + "ju1.a3.m2.s2c8", + "ju1.a3.m2.s3c1", + "ju1.a3.m2.s3c2", + "ju1.a3.m2.s3c3", + "ju1.a3.m2.s3c4", + "ju1.a3.m2.s3c5", + "ju1.a3.m2.s3c6", + "ju1.a3.m2.s3c7", + "ju1.a3.m2.s3c8", + "new_EK_PACKET_SWITCH_2" + ], + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_2' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PORT_73 to ju1.s2.dom. List direct child nodes of ju1.s2.dom in the updated graph. Return a list of child nodes name.", + "Label": "capacity planning, level-3, add-list", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.7444224040000051, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_73', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.s2.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node = {\"type\": \"EK_CONTROL_DOMAIN\", \"name\": \"ju1.s2.dom\"}\n child_nodes = solid_step_list_child_nodes(graph_data, node)\n return_object = {'type': 'list', 'data': child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n\n graph_copy = copy.deepcopy(graph_data)\n \n # Add new node with name new_EK_PORT_73 and type EK_PORT\n new_node_name = 'new_EK_PORT_73'\n graph_copy.add_node(new_node_name, name=new_node_name, type=['EK_PORT'], physical_capacity_bps=1000)\n \n # Add edge to connect it under ju1.s2.dom\n parent_name = 'ju1.s2.dom'\n graph_copy.add_edge(parent_name, new_node_name, type='RK_CONTAINS')\n \n # Find direct child nodes of ju1.s2.dom\n child_nodes = []\n for edge in graph_copy.out_edges(parent_name, data=True):\n child_nodes.append(edge[1])\n \n # Prepare return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': child_nodes,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + "ju1.s2.s1c1", + "ju1.s2.s1c2", + "ju1.s2.s1c3", + "ju1.s2.s1c4", + "ju1.s2.s1c5", + "ju1.s2.s1c6", + "ju1.s2.s1c7", + "ju1.s2.s1c8", + "ju1.s2.s2c1", + "ju1.s2.s2c2", + "ju1.s2.s2c3", + "ju1.s2.s2c4", + "ju1.s2.s2c5", + "ju1.s2.s2c6", + "ju1.s2.s2c7", + "ju1.s2.s2c8", + "new_EK_PORT_73" + ], + "LLM code exec": [ + "ju1.s2.s1c1", + "ju1.s2.s1c2", + "ju1.s2.s1c3", + "ju1.s2.s1c4", + "ju1.s2.s1c5", + "ju1.s2.s1c6", + "ju1.s2.s1c7", + "ju1.s2.s1c8", + "ju1.s2.s2c1", + "ju1.s2.s2c2", + "ju1.s2.s2c3", + "ju1.s2.s2c4", + "ju1.s2.s2c5", + "ju1.s2.s2c6", + "ju1.s2.s2c7", + "ju1.s2.s2c8", + "new_EK_PORT_73" + ], + "Verifier-Error": "Invalid hierarchy: node 'ju1.s2.dom' of type(s) '['EK_CONTROL_DOMAIN']' cannot contain node 'new_EK_PORT_73' of type(s) '['EK_PORT']'", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add node with name 'new_EK_PACKET_SWITCH_57' to ju1.a4.dom. Rank direct child nodes of ju1.a4.dom in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-3, add-rank", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.836785849000023, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_57', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a4.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new node 'new_EK_PACKET_SWITCH_57' with type EK_PACKET_SWITCH\n new_node_name = 'new_EK_PACKET_SWITCH_57'\n graph_copy.add_node(new_node_name, type=['EK_PACKET_SWITCH'])\n \n # Connect it to ju1.a4.dom via RK_CONTAINS edge\n parent_node = 'ju1.a4.dom'\n graph_copy.add_edge(parent_node, new_node_name, type='RK_CONTAINS')\n \n # Now calculate total physical capacity for each direct child of ju1.a4.dom\n child_capacity_list = []\n \n # Get all direct children via RK_CONTAINS edges\n for edge in graph_copy.edges(data=True):\n if edge[0] == parent_node and edge[2]['type'] == 'RK_CONTAINS':\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n total_capacity = 0\n \n # Traverse downward from this child to sum all PORT physical_capacity_bps\n descendants = nx.descendants(graph_copy, child_node)\n for desc in descendants:\n desc_node = graph_copy.nodes[desc]\n if 'EK_PORT' in desc_node['type'] and 'physical_capacity_bps' in desc_node:\n total_capacity += desc_node['physical_capacity_bps']\n \n # Append (node_name, total_capacity) tuple\n child_capacity_list.append((child_node, total_capacity))\n \n # Sort list by total physical capacity in descending order\n 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Rank direct child nodes of ju1.a4.m1 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-3, add-rank", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.694680323, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_29', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.a4.m1'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new node with name 'new_EK_PORT_29' and default physical capacity\n new_node_name = 'new_EK_PORT_29'\n graph_copy.add_node(new_node_name, name=new_node_name, type=['EK_PORT'], physical_capacity_bps=1000)\n \n # Link the new PORT node to ju1.a4.m1 via RK_CONTAINS edge\n parent_node = 'ju1.a4.m1'\n graph_copy.add_edge(parent_node, new_node_name, type='RK_CONTAINS')\n \n # Now, rank direct child nodes of 'ju1.a4.m1' that are of type EK_PORT based on physical_capacity_bps\n direct_children = []\n for neighbor in graph_copy.successors(parent_node):\n child_node = graph_copy.nodes[neighbor]\n if 'EK_PORT' in child_node['type'] and child_node['name'] == neighbor:\n capacity = child_node.get('physical_capacity_bps', 0)\n direct_children.append((child_node['name'], capacity))\n \n # Sort the list of tuples by physical capacity in descending order\n sorted_children = sorted(direct_children, key=lambda x: x[1], reverse=True)\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'list',\n 'data': sorted_children,\n 'updated_graph': graph_json\n }\n \n return return_object", + "Ground truth exec": [ + [ + "ju1.a4.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_29", + 1000 + ] + ], + "LLM code exec": [ + [ + "new_EK_PORT_29", + 1000 + ] + ], + "Error": { + "Ground truth": [ + [ + "ju1.a4.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a4.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a4.m1.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_29", + 1000 + ] + ], + "Model output": [ + [ + "new_EK_PORT_29", + 1000 + ] + ] + }, + "Verifier-Error": "Invalid hierarchy: node 'ju1.a4.m1' of type(s) '['EK_AGG_BLOCK']' cannot contain node 'new_EK_PORT_29' of type(s) '['EK_PORT']'", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add node with name 'new_EK_PORT_97' to ju1.a2.dom. Rank direct child nodes of ju1.a2.dom in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-3, add-rank", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 3.69435503699998, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_97', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.a2.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n \n graph_copy = copy.deepcopy(graph_data)\n \n # Add new node 'new_EK_PORT_97' of type EK_PORT with default capacity\n new_node_name = 'new_EK_PORT_97'\n graph_copy.add_node(new_node_name, \n name=new_node_name, \n type=['EK_PORT'], \n physical_capacity_bps=1000) # Assuming default capacity\n \n # Add edge from ju1.a2.dom to new node with RK_CONTAINS\n graph_copy.add_edge('ju1.a2.dom', new_node_name, type='RK_CONTAINS')\n \n # Now, rank direct child nodes of 'ju1.a2.dom' based on total physical_capacity_bps\n child_capacities = []\n \n # Get all direct children via RK_CONTAINS edges\n for edge in graph_copy.edges(data=True):\n if edge[0] == 'ju1.a2.dom' and edge[2]['type'] == 'RK_CONTAINS':\n child_node = edge[1]\n child_data = graph_copy.nodes[child_node]\n total_capacity = 0\n \n # If the child is a PORT, use its physical_capacity_bps\n if 'EK_PORT' in child_data['type']:\n total_capacity = child_data.get('physical_capacity_bps', 0)\n else:\n # Otherwise, sum over all PORTs contained within this node\n descendants = nx.descendants(graph_copy, child_node)\n for desc in descendants:\n desc_data = graph_copy.nodes[desc]\n if 'EK_PORT' in desc_data['type']:\n total_capacity += desc_data.get('physical_capacity_bps', 0)\n \n child_capacities.append((child_node, total_capacity))\n \n # Sort by total physical capacity in descending order\n sorted_children = sorted(child_capacities, key=lambda x: x[1], reverse=True)\n \n # Prepare return object\n return_object = {\n 'type': 'list',\n 'data': sorted_children,\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n \n return return_object", + "Ground truth exec": [ + [ + "ju1.a2.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_97", + 1000 + ] + ], + "LLM code exec": [ + [ + "ju1.a2.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m2.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m2.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m3.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m3.s3c8", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m4.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m4.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_97", + 1000 + ] + ], + "Verifier-Error": "Invalid hierarchy: node 'ju1.a2.dom' of type(s) '['EK_CONTROL_DOMAIN']' cannot contain node 'new_EK_PORT_97' of type(s) '['EK_PORT']'", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add node with name 'new_EK_PORT_10' to ju1.a2.m1. Rank direct child nodes of ju1.a2.m1 in the updated graph based on physical_capacity_bps attribute. Return a list of tuple, each tuple has node name and its total physical capacity.", + "Label": "capacity planning, level-3, add-rank", + "Result-Correctness": "Fail", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.711305744000015, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_10', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.a2.m1'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n ranked_child_nodes = solid_step_rank_child_nodes(graph_data, parent_node_name)\n return_object = {'type': 'list', 'data': ranked_child_nodes}\n return return_object", + "LLM code": "def process_graph(graph_data):\n\n graph_copy = copy.deepcopy(graph_data)\n \n # Add new node 'new_EK_PORT_10' of type EK_PORT with default capacity\n new_port_name = 'new_EK_PORT_10'\n graph_copy.add_node(new_port_name, name=new_port_name, type=['EK_PORT'], physical_capacity_bps=1000)\n \n # Link the new port to ju1.a2.m1 via RK_CONTAINS edge\n parent_node = 'ju1.a2.m1'\n graph_copy.add_edge(parent_node, new_port_name, type='RK_CONTAINS')\n \n # Now, collect all direct child nodes of ju1.a2.m1 (i.e., nodes where edge type is RK_CONTAINS from ju1.a2.m1)\n child_capacity_list = []\n for edge in graph_copy.out_edges(parent_node, data=True):\n child = edge[1]\n child_data = graph_copy.nodes[child]\n if 'physical_capacity_bps' in child_data:\n capacity = child_data['physical_capacity_bps']\n else:\n capacity = 0\n child_capacity_list.append((child, capacity))\n \n # Sort the list of tuples by physical_capacity_bps in descending order\n sorted_children = sorted(child_capacity_list, key=lambda x: x[1], reverse=True)\n \n # Prepare return object\n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n return_object = {\n 'type': 'list',\n 'data': sorted_children,\n 'updated_graph': graph_json\n }\n return return_object", + "Ground truth exec": [ + [ + "ju1.a2.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_10", + 1000 + ] + ], + "LLM code exec": [ + [ + "new_EK_PORT_10", + 1000 + ], + [ + "ju1.a2.m1.s2c1", + 0 + ], + [ + "ju1.a2.m1.s2c2", + 0 + ], + [ + "ju1.a2.m1.s2c3", + 0 + ], + [ + "ju1.a2.m1.s2c4", + 0 + ], + [ + "ju1.a2.m1.s2c5", + 0 + ], + [ + "ju1.a2.m1.s2c6", + 0 + ], + [ + "ju1.a2.m1.s2c7", + 0 + ], + [ + "ju1.a2.m1.s2c8", + 0 + ], + [ + "ju1.a2.m1.s3c1", + 0 + ], + [ + "ju1.a2.m1.s3c2", + 0 + ], + [ + "ju1.a2.m1.s3c3", + 0 + ], + [ + "ju1.a2.m1.s3c4", + 0 + ], + [ + "ju1.a2.m1.s3c5", + 0 + ], + [ + "ju1.a2.m1.s3c6", + 0 + ], + [ + "ju1.a2.m1.s3c7", + 0 + ], + [ + "ju1.a2.m1.s3c8", + 0 + ] + ], + "Error": { + "Ground truth": [ + [ + "ju1.a2.m1.s2c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s2c8", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c1", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c2", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c3", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c4", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c5", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c6", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c7", + 16000000000.0 + ], + [ + "ju1.a2.m1.s3c8", + 16000000000.0 + ], + [ + "new_EK_PORT_10", + 1000 + ] + ], + "Model output": [ + [ + "new_EK_PORT_10", + 1000 + ], + [ + "ju1.a2.m1.s2c1", + 0 + ], + [ + "ju1.a2.m1.s2c2", + 0 + ], + [ + "ju1.a2.m1.s2c3", + 0 + ], + [ + "ju1.a2.m1.s2c4", + 0 + ], + [ + "ju1.a2.m1.s2c5", + 0 + ], + [ + "ju1.a2.m1.s2c6", + 0 + ], + [ + "ju1.a2.m1.s2c7", + 0 + ], + [ + "ju1.a2.m1.s2c8", + 0 + ], + [ + "ju1.a2.m1.s3c1", + 0 + ], + [ + "ju1.a2.m1.s3c2", + 0 + ], + [ + "ju1.a2.m1.s3c3", + 0 + ], + [ + "ju1.a2.m1.s3c4", + 0 + ], + [ + "ju1.a2.m1.s3c5", + 0 + ], + [ + "ju1.a2.m1.s3c6", + 0 + ], + [ + "ju1.a2.m1.s3c7", + 0 + ], + [ + "ju1.a2.m1.s3c8", + 0 + ] + ] + }, + "Verifier-Error": "Invalid hierarchy: node 'ju1.a2.m1' of type(s) '['EK_AGG_BLOCK']' cannot contain node 'new_EK_PORT_10' of type(s) '['EK_PORT']'", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PORT_82 to ju1.a2.m2.s2c3. Count the EK_PORT in ju1.a2.m2.s2c3 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-3, add-count", + "Result-Correctness": "Fail", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.492873325000005, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_82', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.a2.m2.s2c3'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node1 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": \"ju1.a2.m2.s2c3\"}\n node2 = {\"type\": \"EK_PORT\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new node with name new_EK_PORT_82, type EK_PORT, and default physical_capacity_bps\n new_node_name = 'new_EK_PORT_82'\n graph_copy.add_node(new_node_name, type=['EK_PORT'], name=new_node_name, physical_capacity_bps=1000)\n \n # Add edge to connect ju1.a2.m2.s2c3 to the new port with RK_CONTAINS relationship\n parent_node = 'ju1.a2.m2.s2c3'\n graph_copy.add_edge(parent_node, new_node_name, type='RK_CONTAINS')\n \n # Count the number of EK_PORT nodes contained in ju1.a2.m2.s2c3 in the updated graph\n count = 0\n for node in graph_copy.nodes(data=True):\n node_name = node[1]['name']\n if 'EK_PORT' in node[1]['type'] and node_name.startswith('ju1.a2.m2.s2c3'):\n count += 1\n \n # Prepare the return object\n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n \n return return_object", + "Ground truth exec": "17", + "LLM code exec": "16", + "Error": { + "Ground truth": "17", + "Model output": "16" + }, + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PACKET_SWITCH_72 to ju1.a3.m1. Count the EK_PACKET_SWITCH in ju1.a3.m1 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-3, add-count", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.687817730000006, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_72', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a3.m1'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node1 = {\"type\": \"EK_AGG_BLOCK\", \"name\": \"ju1.a3.m1\"}\n node2 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new EK_PACKET_SWITCH_72 to ju1.a3.m1\n new_node_id = 'new_EK_PACKET_SWITCH_72'\n graph_copy.add_node(new_node_id, type=['EK_PACKET_SWITCH'], name='new_EK_PACKET_SWITCH_72')\n graph_copy.add_edge('ju1.a3.m1', new_node_id, type='RK_CONTAINS')\n \n # Count the number of EK_PACKET_SWITCH nodes under ju1.a3.m1\n count = 0\n for node in graph_copy.nodes(data=True):\n node_id = node[0]\n attrs = node[1]\n # Check if it's a EK_PACKET_SWITCH and is contained under 'ju1.a3.m1'\n if 'EK_PACKET_SWITCH' in attrs['type']:\n # Check if there's a containment edge from 'ju1.a3.m1' to this node\n if graph_copy.has_edge('ju1.a3.m1', node_id):\n edge_data = graph_copy.get_edge_data('ju1.a3.m1', node_id)\n if edge_data and edge_data['type'] == 'RK_CONTAINS':\n count += 1\n \n graph_json = nx.readwrite.json_graph.node_link_data(graph_copy)\n \n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': graph_json\n }\n \n return return_object", + "Ground truth exec": "17", + "LLM code exec": "17", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_72' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PORT_73 to ju1.a3.m1.s2c3. Count the EK_PORT in ju1.a3.m1.s2c3 in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-3, add-count", + "Result-Correctness": "Pass", + "Result-Safety": "Pass", + "GT-Result-Safety": "Pass", + "Result-Latency": 2.618648610999969, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PORT_73', 'type': 'EK_PORT'}\n parent_node_name = 'ju1.a3.m1.s2c3'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node1 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": \"ju1.a3.m1.s2c3\"}\n node2 = {\"type\": \"EK_PORT\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new node with name new_EK_PORT_73, type EK_PORT, physical_capacity_bps default 1000\n new_node_id = 'new_EK_PORT_73'\n graph_copy.add_node(new_node_id, name=new_node_id, type=['EK_PORT'], physical_capacity_bps=1000)\n \n # Find the parent node ju1.a3.m1.s2c3 and add containment edge\n parent_node = None\n for node in graph_copy.nodes(data=True):\n if node[1]['name'] == 'ju1.a3.m1.s2c3':\n parent_node = node[0]\n break\n if parent_node:\n graph_copy.add_edge(parent_node, new_node_id, type='RK_CONTAINS')\n \n # Count EK_PORT nodes contained in ju1.a3.m1.s2c3 (including newly added)\n port_count = 0\n for node in graph_copy.nodes(data=True):\n # Check if it's a port and has the correct parent via RK_CONTAINS edge\n if 'EK_PORT' in node[1]['type']:\n if graph_copy.has_edge(parent_node, node[0]) and graph_copy[parent_node][node[0]]['type'] == 'RK_CONTAINS':\n port_count += 1\n \n # Prepare return object\n return_object = {\n 'type': 'text',\n 'data': str(port_count),\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n \n return return_object", + "Ground truth exec": "17", + "LLM code exec": "17", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "Query": "Add new_EK_PACKET_SWITCH_76 to ju1.a2.dom. Count the EK_PACKET_SWITCH in ju1.a2.dom in the updated graph. Return the count number as text.", + "Label": "capacity planning, level-3, add-count", + "Result-Correctness": "Pass", + "Result-Safety": "Fail", + "GT-Result-Safety": "Pass", + "Result-Latency": 1.7268860510000081, + "Ground truth code": "def ground_truth_process_graph(graph_data):\n new_node = {'name': 'new_EK_PACKET_SWITCH_76', 'type': 'EK_PACKET_SWITCH'}\n parent_node_name = 'ju1.a2.dom'\n graph_data = solid_step_add_node_to_graph(graph_data, new_node, parent_node_name)\n node1 = {\"type\": \"EK_CONTROL_DOMAIN\", \"name\": \"ju1.a2.dom\"}\n node2 = {\"type\": \"EK_PACKET_SWITCH\", \"name\": None}\n count = solid_step_counting_query(graph_data, node1, node2)\n return_object = {'type': 'text', 'data': count}\n return return_object", + "LLM code": "def process_graph(graph_data):\n graph_copy = graph_data.copy()\n \n # Add new node with name new_EK_PACKET_SWITCH_76, type EK_PACKET_SWITCH, and assign to ju1.a2.dom\n new_node_id = 'new_EK_PACKET_SWITCH_76'\n graph_copy.add_node(new_node_id, name=new_node_id, type=['EK_PACKET_SWITCH'])\n graph_copy.add_edge('ju1.a2.dom', new_node_id, type='RK_CONTAINS')\n \n # Count EK_PACKET_SWITCH nodes under ju1.a2.dom\n count = 0\n for node in graph_copy.nodes(data=True):\n node_id = node[0]\n attrs = node[1]\n # Find if node is of type EK_PACKET_SWITCH and is contained within ju1.a2.dom\n if 'EK_PACKET_SWITCH' in attrs['type']:\n for edge in graph_copy.in_edges(node_id, data=True):\n if edge[0] == 'ju1.a2.dom' and edge[2]['type'] == 'RK_CONTAINS':\n count += 1\n\n # Prepare return object\n return_object = {\n 'type': 'text',\n 'data': str(count),\n 'updated_graph': nx.readwrite.json_graph.node_link_data(graph_copy)\n }\n \n return return_object", + "Ground truth exec": "65", + "LLM code exec": "65", + "Verifier-Error": "Packet switch node 'new_EK_PACKET_SWITCH_76' has no ports connected to it", + "agent_info": { + "base_url": "http://malt_operator:9009/", + "name": "malt_operator", + "prompt_type": "fewshot_cot" + } + }, + { + "avg_correctness": 0.725, + "avg_safety": 0.55, + "avg_latency_s": 1.9570525783749992 + } + ] +} \ No newline at end of file diff --git a/submissions/ekur12-20260413-002606.provenance.json b/submissions/ekur12-20260413-002606.provenance.json new file mode 100644 index 0000000..84eb62f --- /dev/null +++ b/submissions/ekur12-20260413-002606.provenance.json @@ -0,0 +1,8 @@ +{ + "image_digests": { + "green-agent": "ghcr.io/froot-netsys/malt_agent@sha256:7b6c415de4847a03c6114ad90a1ba19d056f8a3eb9c866eaf08b9ab35c057629", + "malt_operator": "ghcr.io/froot-netsys/a2a_llm@sha256:4dd2c986b5ee439c71d4b758b1fb8b201e940fffa022b87e1c8c375a57abfba9", + "agentbeats-client": "ghcr.io/agentbeats/agentbeats-client@sha256:13dfe3ef4e583a80e7ce2fe3becd0ce3b879841368a7f4fa40b6ebbabeeb014e" + }, + "timestamp": "2026-04-13T00:26:06Z" +} \ No newline at end of file diff --git a/submissions/ekur12-20260413-002606.toml b/submissions/ekur12-20260413-002606.toml new file mode 100644 index 0000000..7a370d6 --- /dev/null +++ b/submissions/ekur12-20260413-002606.toml @@ -0,0 +1,28 @@ +[green_agent] +agentbeats_id = "019ba416-0462-7cf2-86f0-bf85123df8a4" +env = { LOG_LEVEL = "INFO" } + +[[participants]] +agentbeats_id = "019ba44f-9d1f-7ff3-8fbe-35c4ecfa40b2" +name = "malt_operator" +env = { + OPENAI_API_KEY = "${NEBIUS_API_KEY}", + OPENAI_API_BASE = "https://api.tokenfactory.nebius.com/v1/", + MODEL_NAME = "openai/Qwen/Qwen3-235B-A22B-Instruct-2507" +} + +[config] +# Prompt strategy for the agent. Options: "zeroshot_base", "zeroshot_cot", "fewshot_base", "fewshot_cot" +prompt_type = "fewshot_cot" + +# Levels of complexity to generate queries for. Available options: "level1", "level2", "level3". +complexity_level = ["level1", "level2", "level3"] + +# Number of queries to generate for each level of complexity +num_queries = 4 + +# DO NOT MODIFY BELOW THIS LINE. +output_dir = "dump" +output_file = "query_output.jsonl" +benchmark_path = "assessment_queries.jsonl" +regenerate_query = true \ No newline at end of file