| {"prompts": "basic", "policy": "shortest_path", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nStep 1:\nConstruct a network graph from the topology.\nStep 2:\nIdentify the unidirectional host pairs (host1, host2) based on the network topology.\nStep 3:\nFor each host pair, find all possible paths based on the network topology and rank them according to their length.\nStep 4: \nFor each host pair, pick the shortest path.\nStep 5:\nRemove LAN identifiers (the ones not starting with 'h' or 's') in the path. Return final routing paths for all host pairs.\n\n\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'A'},\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 'h2']},\\n 'h2': {'h1': ['h2', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"\\nInvalid output format of the function: The output should be Dict[str, Dict[str, List[str]]], a dictionary where:\\nThe keys are strings representing the host names (e.g., \\\"h1\\\", \\\"h2\\\", etc.).\\nThe values are dictionaries that represent the paths from the key host to each of other reachable hosts. These dictionaries have:\\nKeys as strings representing the other host names.\\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consists of hosts and routers, and should exclude LAN identifiers.\\nFor example: \\\"h1\\\": {\\\"h2\\\": [\\\"h1\\\", \\\"s1\\\", \\\"h2\\\"], \\\"h3\\\": [\\\"h1\\\", \\\"s2\\\", \\\"h3\\\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\\n\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's3', 'h2']},\\n 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 'h2']},\\n 'h2': {'h1': ['h2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\n\\n\\n# ~function_code~\\n\\n# ~function_code~\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "basic", "policy": "reachability", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nStep 1:\nConstruct a network graph from the topology.\nStep 2:\nIdentify the unidirectional host pairs (host1, host2) based on the network topology.\nStep 3:\nFor each host pair, find all possible paths based on the network topology and rank them according to their length.\nStep 4: \nFor each host pair, pick the shortest path.\nStep 5:\nRemove LAN identifiers (the ones not starting with 'h' or 's') in the path. Return final routing paths for all host pairs.\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\n\nBased on the code, now I hope to add an additional requirement called reachability. The new function should satisfy this new requirement when selecting paths in step 4.\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n {\n \"reachability\": {\n \"<s1>\": [\"<h1>\", \"<h2>\", ...],\n \"<s2>\": [\"<h1>\", \"<h2>\", ...],\n ...\n }\n }\n The data structure consists of a map with keys:\n \"reachability\": a map that maps each switch to a list of the hosts that it should be able to reach directly or through a set of nodes. A physical link doesn't ensure reachability.\n</req>\n\nStep 4 also needs to be changed:\nPick out the shortest path satisfying all the requirements.\nFor each switch s1 along the path, we check the requirements in order:\n- Check reachability requirements, the corresponding list in this switch s1's reachability should contain the destination host.\nIf no path is found, set the path to [].\n\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'A'},\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 'h2']},\\n 'h2': {'h1': ['h2', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"\\nInvalid output format of the function: The output should be Dict[str, Dict[str, List[str]]], a dictionary where:\\nThe keys are strings representing the host names (e.g., \\\"h1\\\", \\\"h2\\\", etc.).\\nThe values are dictionaries that represent the paths from the key host to each of other reachable hosts. These dictionaries have:\\nKeys as strings representing the other host names.\\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consists of hosts and routers, and should exclude LAN identifiers.\\nFor example: \\\"h1\\\": {\\\"h2\\\": [\\\"h1\\\", \\\"s1\\\", \\\"h2\\\"], \\\"h3\\\": [\\\"h1\\\", \\\"s2\\\", \\\"h3\\\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\\n\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's3', 'h2']},\\n 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 'h2']},\\n 'h2': {'h1': ['h2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\n\\n\\n# ~function_code~\\n\\n# ~function_code~\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': []}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's4', 's2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"7\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "basic", "policy": "waypoint", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nStep 1:\nConstruct a network graph from the topology.\nStep 2:\nIdentify the unidirectional host pairs (host1, host2) based on the network topology.\nStep 3:\nFor each host pair, find all possible paths based on the network topology and rank them according to their length.\nStep 4: \nFor each host pair, pick the shortest path.\nStep 5:\nRemove LAN identifiers (the ones not starting with 'h' or 's') in the path. Return final routing paths for all host pairs.\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n # Check reachability requirements\n if not all(host2 in requirements.get('reachability', {}).get(switch, []) for switch in switches_in_path):\n continue\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\nBased on the code, now I hope to add an additional requirement called waypoint. The new function should also satisfy this new requirement when selecting paths in step 4.\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n{\n \"reachability\": {\n \"<s1>\": [\"<h1>\", \"<h2>\", ...],\n \"<s2>\": [\"<h1>\", \"<h2>\", ...],\n ...\n },\n \"waypoint\": {\n \"(<s1>, <h1>)\": [\"<s2>\", \"<s3>\", ...],\n ...\n }\n}\nThe data structure consists of a map with two keys:\n\"reachability\": a map that maps each switch to a list of the hosts that it should be able to reach directly or through a set of nodes. A physical link doesn't ensure reachability.\n\"waypoint\": a map that maps one or more (switch, host) pairs to a list of switches through which the routing path from switch to host should include.\n</req>\n\nStep 4 needs to be changed:\nPick out the shortest path satisfying all the requirements.\nFor any switch along the path, we check the requirements in order:\n- Check reachability requirements, the corresponding list in this switch s1's reachability should contain the destination host.\n- Check waypoint requirements, given destination host, if the string \"(switch, destination host)\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise, skip to the next switch.\nIf no path is found, set the path to [].\n\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s4\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\", \\\"s4\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's4', 's2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"7\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "basic", "policy": "loadbalancing", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nStep 1:\nConstruct a network graph from the topology.\nStep 2:\nIdentify the unidirectional host pairs (host1, host2) based on the network topology.\nStep 3:\nFor each host pair, find all possible paths based on the network topology and rank them according to their length.\nStep 4: \nFor each host pair, pick the shortest path.\nStep 5:\nRemove LAN identifiers (the ones not starting with 'h' or 's') in the path. Return final routing paths for all host pairs.\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\nBased on the code, now I hope to add an additional requirement called loadbalancing.\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n{\n ...,\n \"loadbalancing\": {\n \"(<h1>, <h2>)\": <N>,\n ...\n }\n}\nThe data structure consists of a map with more keys:\n...,\n\"loadbalancing\": a map (the key is a string) that maps a \"(host, host)\" pair tuple (string key) to an integer number that indicates how many paths (for load balancing) are available from a host to the another host.\n</req>\n\nThe output routing paths will be changed to the text delimited by <out></out> below\n<out>\n{\"h1\": \n {\"h2\": [[\"h1\", \"s1\", \"s2\"..., \"h2\"], \n [\"h1\", \"s1\", \"s3\"..., \"h2\"]]\n }, \n\"h2\": {\n \"h1\": [[\"h2\", \"s1\", \"s2\", ..., \"h1\"], \n ...]]\n },\n ...\n}\nDict[str, Dict[str, List[List[str]]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of lists. Each list inside is made of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. \nThe lists inside means multiple paths to load balance. The paths should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": {[\"h1\", \"s1\", \"h2\"], [\"h1\", \"s2\", \"h2\"]}} means h1 can send packets to h2 along 2 paths via s1 or s2.\n</out>\n\nStep 4 needs to be changed:\nFor each host pair.\nIf the string \"(source host, destination host)\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths\nOtherwise, pick out only one shortest path satisfying all the requirements.\n\nIf no path is found, set the paths to an empty list[].\n\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 'h2']]},\\n 'h2': {'h1': [['h2', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h2, h1)\\\": 2\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 'h2']]},\\n 'h2': {'h1': [['h2', 's1', 'h1'], ['h2', 's4', 's2', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h1, h2)\\\": 2\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 's3', 'h2'], ['h1', 's1', 's2', 's4', 'h2']]},\\n 'h2': {'h1': [['h2', 's3', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\", \"7\": \"topology_test = {\\n 'h1': {0: 'A', 1: 'D', 2: 'H'},\\n 'h2': {0: 'C', 1: 'G', 2: 'K'},\\n 's1': {0: 'A', 1: 'B'},\\n 's2': {0: 'B', 1: 'C'},\\n 's3': {0: 'D', 1: '3'},\\n 's4': {0: 'E', 1: 'F'},\\n 's5': {0: 'F', 1: 'G'},\\n 's6': {0: 'H', 1: 'I'},\\n 's7': {0: 'I', 1: 'J'},\\n 's8': {0: 'J', 1: 'K'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h1, h2)\\\": 2\\n }\\n}\\n\\nexpected_test_1 = {\\n 'h1': {'h2': [['h1', 's1', 's2', 'h2'], ['h1', 's3', 's4', 's5', 'h2']]},\\n 'h2': {'h1': [['h2', 's2', 's1', 'h1']]}\\n}\\n\\nexpected_test_2 = {\\n 'h1': {'h2': [['h1', 's1', 's2', 'h2'], ['h1', 's6', 's7', 's8', 'h2']]},\\n 'h2': {'h1': [['h2', 's2', 's1', 'h1']]}\\n}\\n\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test_1 or output == expected_test_2, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test_1} or {expected_test_2}, but I got {output}.\\\")\"}"} | |
| {"prompts": "no_detail", "policy": "shortest_path", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nThe function is to find all the shortest paths made of switches (without LANs) between unidirectional host pairs\n\n\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'A'},\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 'h2']},\\n 'h2': {'h1': ['h2', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"\\nInvalid output format of the function: The output should be Dict[str, Dict[str, List[str]]], a dictionary where:\\nThe keys are strings representing the host names (e.g., \\\"h1\\\", \\\"h2\\\", etc.).\\nThe values are dictionaries that represent the paths from the key host to each of other reachable hosts. These dictionaries have:\\nKeys as strings representing the other host names.\\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consists of hosts and routers, and should exclude LAN identifiers.\\nFor example: \\\"h1\\\": {\\\"h2\\\": [\\\"h1\\\", \\\"s1\\\", \\\"h2\\\"], \\\"h3\\\": [\\\"h1\\\", \\\"s2\\\", \\\"h3\\\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\\n\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's3', 'h2']},\\n 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 'h2']},\\n 'h2': {'h1': ['h2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\n\\n\\n# ~function_code~\\n\\n# ~function_code~\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "no_detail", "policy": "reachability", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nThe function is to find all the shortest paths made of switches (without LANs) between unidirectional host pairs\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\n\nBased on the code, now I hope to add an additional requirement called reachability. The new function should satisfy this new requirement when selecting paths\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n {\n \"reachability\": {\n \"<s1>\": [\"<h1>\", \"<h2>\", ...],\n \"<s2>\": [\"<h1>\", \"<h2>\", ...],\n ...\n }\n }\n The data structure consists of a map with keys:\n \"reachability\": a map that maps each switch to a list of the hosts that it should be able to reach directly or through a set of nodes. A physical link doesn't ensure reachability.\n</req>\n\nThe function is to find all the shortest paths made of switches satisfying all the reachability requirements between unidirectional host pairs\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'A'},\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 'h2']},\\n 'h2': {'h1': ['h2', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"\\nInvalid output format of the function: The output should be Dict[str, Dict[str, List[str]]], a dictionary where:\\nThe keys are strings representing the host names (e.g., \\\"h1\\\", \\\"h2\\\", etc.).\\nThe values are dictionaries that represent the paths from the key host to each of other reachable hosts. These dictionaries have:\\nKeys as strings representing the other host names.\\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consists of hosts and routers, and should exclude LAN identifiers.\\nFor example: \\\"h1\\\": {\\\"h2\\\": [\\\"h1\\\", \\\"s1\\\", \\\"h2\\\"], \\\"h3\\\": [\\\"h1\\\", \\\"s2\\\", \\\"h3\\\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\\n\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's3', 'h2']},\\n 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 'h2']},\\n 'h2': {'h1': ['h2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"From the shortest path to the longest path, check the requirements in order. The path you selected should be the shortest among the satisfying ones\\\"\\n\\n\\n# ~function_code~\\n\\n# ~function_code~\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, None)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': []}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's4', 's2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"7\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "no_detail", "policy": "waypoint", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nThe function is to find all the shortest paths made of switches (without LANs) between unidirectional host pairs\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n # Check reachability requirements\n if not all(host2 in requirements.get('reachability', {}).get(switch, []) for switch in switches_in_path):\n continue\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\nBased on the code, now I hope to add an additional requirement called waypoint. The new function should also satisfy this new requirement when selecting paths.\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n{\n \"reachability\": {\n \"<s1>\": [\"<h1>\", \"<h2>\", ...],\n \"<s2>\": [\"<h1>\", \"<h2>\", ...],\n ...\n },\n \"waypoint\": {\n \"(<s1>, <h1>)\": [\"<s2>\", \"<s3>\", ...],\n ...\n }\n}\nThe data structure consists of a map with two keys:\n\"reachability\": a map that maps each switch to a list of the hosts that it should be able to reach directly or through a set of nodes. A physical link doesn't ensure reachability.\n\"waypoint\": a map that maps one or more (switch, host) pairs to a list of switches through which the routing path from switch to host should include.\n</req>\n\nCheck the requirements in order, and pick out the shortest path satisfying all the reachability and waypoint requirements.\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s4\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\", \\\"s4\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's4', 's2', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"7\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"The reachability requirement is not satisfied well. For any switch along the path, the destination host should be in the corresponding list in this switch's reachability.\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\"}"} | |
| {"prompts": "no_detail", "policy": "loadbalancing", "prompt": "The input of the function should be the network topology in the format delimited by <topo></topo>, and network requirements which are None by default. The output should be routing paths in the format described in the text delimited by <out></out>.\n<topo> \nDict[str, Dict[int, str]], a dictionary where: \nThe keys are device (switch or host) names (strings) like \"s1\", \"s2\", etc. \nThe values are dictionaries that represent each device\u2019s connections.\nThe keys of these inner dictionaries are port identifiers (integers) like 0, 1, etc.\nThe values of these inner dictionaries are LAN identifiers (strings) like \"A\", \"B\", \"C\", etc.\nFor example {\"d1, {0: \"LAN1\"}} means device d1 is connected to a LAN LAN1 via port 0.\n</topo>\n<out>\n{\"h1\": \n {\"h2\": [\"h1\", \"s1\", \"s2..., \"h2\"], ...}, \n\"h2\": {\n \"h1\": [\"h2\", \"s1\", \"s2\", ..., \"h1\"], ...},\n ...\n}\nDict[str, Dict[str, List[str]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. The path should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": [\"h1\", \"s1\", \"h2\"], \"h3\": [\"h1\", \"s2\", \"h3\"]} means h1 should send packets to h2 along the path made of s1, and send packet to h3 along the path made of s2\n</out>\nUnderstand the input and output. Wait for the users' instructions.\n\nBased on the input and output format, your task is to generate the function.\nThe function is to find all the shortest paths made of switches (without LANs) between unidirectional host pairs\n\ndef compute_routing_paths(topo, requirements=None):\n import itertools\n import networkx as nx\n\n # Construct a network graph from the topology\n G = nx.Graph()\n for device, connections in topo.items():\n for port, lan in connections.items():\n G.add_edge(device, lan)\n\n # Identify the unidirectional host pairs (host1, host2) based on the network topology\n hosts = [device for device in topo.keys() if device.startswith('h')]\n host_pairs = list(itertools.permutations(hosts, 2))\n\n # For each host pair, find all possible paths\n paths = {}\n for host1, host2 in host_pairs:\n all_paths = list(nx.all_simple_paths(G, source=host1, target=host2))\n all_paths.sort(key=len) # sort paths from shortest to longest\n\n # For each host pair, pick the shortest path among those satisfying the requirements\n for path in all_paths:\n switches_in_path = [node for node in path if node.startswith('s')]\n\n shortest_path = path\n break\n else:\n shortest_path = [] # no path found\n\n # Remove LAN identifiers in the path\n shortest_path = [node for node in shortest_path if node.startswith('h') or node.startswith('s')]\n\n if host1 not in paths:\n paths[host1] = {}\n paths[host1][host2] = shortest_path\n\n return paths\nBased on the code, now I hope to add an additional requirement called loadbalancing.\nThe input network requirements format will be changed to the text delimited by <req></req> below\n<req>\n{\n ...,\n \"loadbalancing\": {\n \"(<h1>, <h2>)\": <N>,\n ...\n }\n}\nThe data structure consists of a map with more keys:\n...,\n\"loadbalancing\": a map (the key is a string) that maps a \"(host, host)\" pair tuple (string key) to an integer number that indicates how many paths (for load balancing) are available from the location to the prefix.\n</req>\n\nThe output routing paths will be changed to the text delimited by <out></out> below\n<out>\n{\"h1\": \n {\"h2\": [[\"h1\", \"s1\", \"s2\"..., \"h2\"], \n [\"h1\", \"s1\", \"s3\"..., \"h2\"]]\n }, \n\"h2\": {\n \"h1\": [[\"h2\", \"s1\", \"s2\", ..., \"h1\"], \n ...]]\n },\n ...\n}\nDict[str, Dict[str, List[List[str]]]], a dictionary where:\nThe keys are strings representing the host names (e.g., \"h1\", \"h2\", etc.).\nThe values are dictionaries that represent the paths from the key host to each of the other reachable hosts. These dictionaries have:\nKeys as strings representing the other host names.\nValues as lists of lists. Each list inside is made of strings representing the sequence of switches (containing source and destination) to be traversed to get from one host to another host. \nThe lists inside means multiple paths to load balance. The paths should only consist of hosts and routers, and should exclude LAN identifiers.\nFor example: \"h1\": {\"h2\": {[\"h1\", \"s1\", \"h2\"], [\"h1\", \"s2\", \"h2\"]}} means h1 can send packets to h2 along 2 paths via s1 or s2.\n</out>\n\nFor each host pair, the function should take a number of shortest paths made of switches as specified by the loadbalancing requirement if it exists.\nThe script to generate the routing path should keep its original format and all the requirements should be satisfied.\n", "tests": "{\"1\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': ['h1', 's1', 's2', 's4', 'h2']}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"2\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"3\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n \\\"s1\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s2\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s3\\\": [\\\"h1\\\", \\\"h2\\\"],\\n \\\"s4\\\": [\\\"h1\\\", \\\"h2\\\"]\\n },\\n \\\"waypoint\\\": {\\n \\\"(s1, h2)\\\": [\\\"s2\\\", \\\"s3\\\"]\\n },\\n \\\"avoidance\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': []}, 'h2': {'h1': ['h2', 's3', 's1', 'h1']}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"The waypoint requirement is not satisfied well. For any switch along the path, given destination h2, if the string \\\"(switch, destination host)\\\" is one of the keys in the waypoint map, then the path should contain all the switches in the corresponding list value. Otherwise skip to next switch.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} and formal specification: {specification_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"4\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 'h2']]},\\n 'h2': {'h1': [['h2', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"5\": \"import pytest\\n\\ntopology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'C'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h2, h1)\\\": 2\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 'h2']]},\\n 'h2': {'h1': [['h2', 's1', 'h1'], ['h2', 's4', 's2', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\\n\", \"6\": \"topology_test = {\\n 'h1': {0: 'A'},\\n 'h2': {0: 'E', 1: 'F'},\\n 's1': {0: 'A', 1: 'B', 2: 'C'},\\n 's2': {0: 'B', 1: 'D'},\\n 's3': {0: 'C', 1: 'F'},\\n 's4': {0: 'D', 1: 'E'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h1, h2)\\\": 2\\n }\\n}\\n\\nexpected_test = {\\n 'h1': {'h2': [['h1', 's1', 's3', 'h2'], ['h1', 's1', 's2', 's4', 'h2']]},\\n 'h2': {'h1': [['h2', 's3', 's1', 'h1']]}\\n}\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test}, but I got {output}.\\\")\", \"7\": \"topology_test = {\\n 'h1': {0: 'A', 1: 'D', 2: 'H'},\\n 'h2': {0: 'C', 1: 'G', 2: 'K'},\\n 's1': {0: 'A', 1: 'B'},\\n 's2': {0: 'B', 1: 'C'},\\n 's3': {0: 'D', 1: '3'},\\n 's4': {0: 'E', 1: 'F'},\\n 's5': {0: 'F', 1: 'G'},\\n 's6': {0: 'H', 1: 'I'},\\n 's7': {0: 'I', 1: 'J'},\\n 's8': {0: 'J', 1: 'K'}\\n}\\n\\nspecification_test = {\\n \\\"reachability\\\": {\\n },\\n \\\"loadbalancing\\\": {\\n \\\"(h1, h2)\\\": 2\\n }\\n}\\n\\nexpected_test_1 = {\\n 'h1': {'h2': [['h1', 's1', 's2', 'h2'], ['h1', 's3', 's4', 's5', 'h2']]},\\n 'h2': {'h1': [['h2', 's2', 's1', 'h1']]}\\n}\\n\\nexpected_test_2 = {\\n 'h1': {'h2': [['h1', 's1', 's2', 'h2'], ['h1', 's6', 's7', 's8', 'h2']]},\\n 'h2': {'h1': [['h2', 's2', 's1', 'h1']]}\\n}\\n\\n\\nfeedback_wrong = \\\"\\\"\\\"If the string \\\"(source host, destination host)\\\" is one of the keys in the loadbalancing map, pick the corresponding integer value number of shortest paths, and put them in the list.\\nOtherwise pick out only the shortest path satisfying all the requirements.\\\"\\\"\\\"\\n\\n\\n# ~function_code~\\n\\ndef test_gpt_output():\\n output = compute_routing_paths(topology_test, specification_test)\\n\\n assert output == expected_test_1 or output == expected_test_2, \\\\\\n (f\\\"{feedback_wrong}. \\\"\\n f\\\"I have topology: {topology_test} as input. \\\"\\n f\\\"Expected output of the function should be {expected_test_1} or {expected_test_2}, but I got {output}.\\\")\"}"} | |