query_id stringlengths 32 32 | query stringlengths 9 4.01k | positive_passages listlengths 1 1 | negative_passages listlengths 88 101 |
|---|---|---|---|
1ad8b2bda71c27dd30959fac0f57aaa8 | Finds the shortest path through a weighted graph using a heuristic. Used for planning & pathfinding in low dimension spaces. | [
{
"docid": "337086241106fd93d954e33e0b7111a4",
"score": "0.6438782",
"text": "def a_star(start_vertex, adjacent, cost, heuristic, goal, max_depth=None):\n if max_depth is not None and max_depth <= 0:\n raise ValueError(\"Argument max_depth must be greater than zero\")\n\n class InternalNode... | [
{
"docid": "5478766196043feca0d87a016cf5f766",
"score": "0.7408174",
"text": "def shortest_path(graph, distances, visited_set, use_heuristic=False):\n n_list = []\n h = 0\n for name, dist in distances.items():\n if name not in visited_set and dist != float('inf'):\n if use_heu... |
0de9fca772bfb65735c5d9615ad30b7f | store decoded instruction, prepare for next one | [{"docid":"32f9f6ffb70ceefd08ea42257e2ae3c0","score":"0.57765085","text":"def _save_instruction(self(...TRUNCATED) | [{"docid":"251672139dd55cedcb073d1046e8b9c9","score":"0.66286063","text":"def _decode(self):\n tr(...TRUNCATED) |
45a4339872939e50f1b9f5e7efc859c3 | Return the metadata of the requested table | [{"docid":"587eaf079abab28e435c2b2b70d0eb05","score":"0.67164326","text":"def table_info(request, na(...TRUNCATED) | [{"docid":"3fb576fc72d1a4763e97ad9a7ca78b31","score":"0.7701821","text":"def _metadata_table(self):\(...TRUNCATED) |
4a18047a82e15e9da2c85135e680c633 | Get the best ARIMA model. | [{"docid":"0282a9f33bdc11ac5c8b5843ba0d9963","score":"0.7164151","text":"def get_best_model(self):\n(...TRUNCATED) | [{"docid":"d8842cd0d2022b7bbda5c575f8abd437","score":"0.6984959","text":"def ARIMA_model(training_da(...TRUNCATED) |
ac4a70a179548769a54b4e8bcda2a33e | max Informationbased Nonparametric Exploration. | [{"docid":"e66a409de6378bd34be549f1e3ec9e89","score":"0.0","text":"def mic_test(self, inputs):\n (...TRUNCATED) | [{"docid":"b1786dfbdc9d9be4ed12f80d58b1acee","score":"0.6003945","text":"def _argmax(self, params, *(...TRUNCATED) |
e27c418436ca52894e43d72ed2eed4f1 | Computes the accuracy over the k top predictions for the specified values of k | [{"docid":"1fb344a00114e8ceae403851687e0b81","score":"0.7847017","text":"def accuracy(output, target(...TRUNCATED) | [{"docid":"092b204d6f194e96b85acc310eb7d8eb","score":"0.8249487","text":"def accuracy(output, target(...TRUNCATED) |
264d245dad9dd026a02a3524d8c95b3e | Kill the previously started Quixote server. | [{"docid":"ae941954f9eabbecaef43c4c42270d0b","score":"0.0","text":"def kill_server():\n global _s(...TRUNCATED) | [{"docid":"271d9573d0475ee33c60157648dadab6","score":"0.7437033","text":"def kill():\n return Ser(...TRUNCATED) |
870b64780dfa182edf12e4df39653c90 | Smooth the data with von Mises functions | [{"docid":"fdf5009c7e87693ef95b73de8a36878e","score":"0.632402","text":"def vonmises_smoothing(self,(...TRUNCATED) | [{"docid":"5babe5be0badb185409d0cd539883ea3","score":"0.5696802","text":"def smooth(values, dt, tau)(...TRUNCATED) |
e7b7cfb0d91468ec87cc607502d3d264 | Parse specification in the specification YAML file. | [{"docid":"1ddd55b5916bf21eab1a67ee8e2b71de","score":"0.7328811","text":"def read_specification(self(...TRUNCATED) | [{"docid":"427c032eef2b4c90af30cbfcb501e46f","score":"0.65131885","text":"def fileToSpec(file):\n\n (...TRUNCATED) |
cb0ddeca3dc7638e06e9b469917ee008 | Returns the string representation of the model | [{"docid":"0f283634439620e9ecd215d87804ec00","score":"0.0","text":"def to_str(self):\n return(...TRUNCATED) | [{"docid":"aa510b1d67cd504f00d31d7600881756","score":"0.8602374","text":"def _repr_model_(self):\n (...TRUNCATED) |
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